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1. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals

Author: Chen, H, Majumdar, A, Wang, L, Kar, S, Brown, KM, Feng, H, Turman, C, Dennis, J, Easton, D, Michailidou, K, Simard, J, Breast Cancer Association Consortium (BCAC), Bishop, T, Cheng, IC, Huyghe, JR, Schmit, SL, Colorectal Transdisciplinary Study (CORECT), Colon Cancer Family Registry Study (CCFR), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO, O'Mara, TA, Spurdle, AB, Endometrial Cancer Association Consortium (ECAC), Gharahkhani, P, Schumacher, J, Jankowski, J, Gockel, I, Esophageal Cancer GWAS Consortium, Bondy, ML, Houlston, RS, Jenkins, RB, Melin, B, Glioma International Case Control Consortium (GICC), Lesseur, C, Ness, AR, Diergaarde, B, Olshan, AF, Head-Neck Cancer GWAS Consortium, Amos, CI, Christiani, DC, Landi, MT, McKay, JD, International Lung Cancer Consortium (ILCCO), Brossard, M, Iles, MM, Law, MH, MacGregor, S, Melanoma GWAS Consortium, Beesley, J, Jones, MR, Tyrer, J, Winham, SJ, Ovarian Cancer Association Consortium (OCAC), Klein, AP, Petersen, G, Li, D, Wolpin, BM, Pancreatic Cancer Case-Control Consortium (PANC4), Pancreatic Cancer Cohort Consortium (PanScan), Eeles, RA, Haiman, CA, Kote-Jarai, Z, Schumacher, FR, PRACTICAL consortium, CRUK, BPC3, CAPS, PEGASUS, Brennan, P, Chanock, SJ, Gaborieau, V, Purdue, MP, Renal Cancer GWAS Consortium, Pharoah, P, Hung, RJ, Amundadottir, LT, Kraft, P, Pasaniuc, B, and Lindström, S
Abstract: Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we collected GWAS summary statistics based on up to 375,468 cancer cases and 530,521 controls for fourteen types of cancer, including breast (overall, estrogen receptor [ER]-positive, and ER-negative), colorectal, endometrial, esophageal, glioma, head/neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancer, to characterize the shared genetic basis of cancer risk. We identified thirteen pairs of cancers with statistically significant local genetic correlations across eight distinct genomic regions. Specifically, the 5p15.33 region, harboring the TERT and CLPTM1L genes, showed statistically significant local genetic correlations for multiple cancer pairs. We conducted a cross-cancer fine-mapping of the 5p15.33 region based on eight cancers that showed genome-wide significant associations in this region (ER-negative breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, and prostate cancer). We used an iterative analysis pipeline implementing a subset-based meta-analysis approach based on cancer-specific conditional analyses and identified ten independent cross-cancer associations within this region. For each signal, we conducted cross-cancer fine-mapping to prioritize the most plausible causal variants. Our findings provide a more in-depth understanding of the shared inherited basis across human cancers and expand our knowledge of the 5p15.33 region in carcinogenesis.
Published: 2021

2. Genetic architectures of proximal and distal colorectal cancer are partly distinct

Author: Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, Peters, U, Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, and Peters, U
Abstract: OBJECTIVE: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. DESIGN: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. RESULTS: We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. CONCLUSION: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
Published: 2021

3. Cross-cancer cross-tissue Transcriptome-wide Association Study (TWAS) of 11 cancers identifies 56 novel genes

Author: Feng, H, Majumdar, A, Pasaniuc, B, Chen, H, Lindstrom, S, Huyghe, J, Schmit, SL, O'Mara, TA, Thompson, DJ, MacGregor, S, Brennan, P, Mckay, J, Houlston, RS, Melin, BS, Amos, C, Cus, AE, Iles, MM, Kar, S, Pharoah, P, Hung, RJ, Kraft, P, BCAC, and OCAC
Published: 2020

4. Cumulative Burden of Colorectal Cancer Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer

Author: Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, and Hayes, RB
Abstract: BACKGROUND & AIMS: Early-onset colorectal cancer (CRC, in persons younger than 50 years old) is increasing in incidence; yet, in the absence of a family history of CRC, this population lacks harmonized recommendations for prevention. We aimed to determine whether a polygenic risk score (PRS) developed from 95 CRC-associated common genetic risk variants was associated with risk for early-onset CRC. METHODS: We studied risk for CRC associated with a weighted PRS in 12,197 participants younger than 50 years old vs 95,865 participants 50 years or older. PRS was calculated based on single nucleotide polymorphisms associated with CRC in a large-scale genome-wide association study as of January 2019. Participants were pooled from 3 large consortia that provided clinical and genotyping data: the Colon Cancer Family Registry, the Colorectal Transdisciplinary Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium and were all of genetically defined European descent. Findings were replicated in an independent cohort of 72,573 participants. RESULTS: Overall associations with CRC per standard deviation of PRS were significant for early-onset cancer, and were stronger compared with late-onset cancer (P for interaction = .01); when we compared the highest PRS quartile with the lowest, risk increased 3.7-fold for early-onset CRC (95% CI 3.28-4.24) vs 2.9-fold for late-onset CRC (95% CI 2.80-3.04). This association was strongest for participants without a first-degree family history of CRC (P for interaction = 5.61 × 10-5). When we compared the highest with the lowest quartiles in this group, risk increased 4.3-fold for early-onset CRC (95% CI 3.61-5.01) vs 2.9-fold for late-onset CRC (95% CI 2.70-3.00). Sensitivity analyses were consistent with these findings. CONCLUSIONS: In an analysis of associations with CRC per standard deviation of PRS, we found the cumulative burden of CRC-associated common genetic variants to associate with early-onset cancer, and to be mo
Published: 2020

5. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author: Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, Freisling, H, Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, and Freisling, H
Abstract: BACKGROUND: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. METHODS: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. RESULTS: The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, we
Published: 2020

6. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

Author: Zhang, YD, Hurson, AN, Zhang, H, Choudhury, PP, Easton, DF, Milne, RL, Simard, J, Hall, P, Michailidou, K, Dennis, J, Schmidt, MK, Chang-Claude, J, Gharahkhani, P, Whiteman, D, Campbell, PT, Hoffmeister, M, Jenkins, M, Peters, U, Hsu, L, Gruber, SB, Casey, G, Schmit, SL, O'Mara, TA, Spurdle, AB, Thompson, DJ, Tomlinson, I, De Vivo, I, Landi, MT, Law, MH, Iles, MM, Demenais, F, Kumar, R, MacGregor, S, Bishop, DT, Ward, SV, Bondy, ML, Houlston, R, Wiencke, JK, Melin, B, Barnholtz-Sloan, J, Kinnersley, B, Wrensch, MR, Amos, CI, Hung, RJ, Brennan, P, McKay, J, Caporaso, NE, Berndt, SI, Birmann, BM, Camp, NJ, Kraft, P, Rothman, N, Slager, SL, Berchuck, A, Pharoah, PDP, Sellers, TA, Gayther, SA, Pearce, CL, Goode, EL, Schildkraut, JM, Moysich, KB, Amundadottir, LT, Jacobs, EJ, Klein, AP, Petersen, GM, Risch, HA, Stolzenberg-Solomon, RZ, Wolpin, BM, Li, D, Eeles, RA, Haiman, CA, Kote-Jarai, Z, Schumacher, FR, Al Olama, AA, Purdue, MP, Scelo, G, Dalgaard, MD, Greene, MH, Grotmol, T, Kanetsky, PA, McGlynn, KA, Nathanson, KL, Turnbull, C, Wiklund, F, Chanock, SJ, Chatterjee, N, Garcia-Closas, M, Zhang, YD, Hurson, AN, Zhang, H, Choudhury, PP, Easton, DF, Milne, RL, Simard, J, Hall, P, Michailidou, K, Dennis, J, Schmidt, MK, Chang-Claude, J, Gharahkhani, P, Whiteman, D, Campbell, PT, Hoffmeister, M, Jenkins, M, Peters, U, Hsu, L, Gruber, SB, Casey, G, Schmit, SL, O'Mara, TA, Spurdle, AB, Thompson, DJ, Tomlinson, I, De Vivo, I, Landi, MT, Law, MH, Iles, MM, Demenais, F, Kumar, R, MacGregor, S, Bishop, DT, Ward, SV, Bondy, ML, Houlston, R, Wiencke, JK, Melin, B, Barnholtz-Sloan, J, Kinnersley, B, Wrensch, MR, Amos, CI, Hung, RJ, Brennan, P, McKay, J, Caporaso, NE, Berndt, SI, Birmann, BM, Camp, NJ, Kraft, P, Rothman, N, Slager, SL, Berchuck, A, Pharoah, PDP, Sellers, TA, Gayther, SA, Pearce, CL, Goode, EL, Schildkraut, JM, Moysich, KB, Amundadottir, LT, Jacobs, EJ, Klein, AP, Petersen, GM, Risch, HA, Stolzenberg-Solomon, RZ, Wolpin, BM, Li, D, Eeles, RA, Haiman, CA, Kote-Jarai, Z, Schumacher, FR, Al Olama, AA, Purdue, MP, Scelo, G, Dalgaard, MD, Greene, MH, Grotmol, T, Kanetsky, PA, McGlynn, KA, Nathanson, KL, Turnbull, C, Wiklund, F, Chanock, SJ, Chatterjee, N, and Garcia-Closas, M
Abstract: Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.
Published: 2020

7. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

Author: Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Martin, RM, Lewis, SJ, Kazmi, N, Robinson, TM, Albanes, D, Aleksandrova, K, Berndt, SI, Bishop, DT, Brenner, H, Buchanan, DD, Bueno-de-Mesquita, B, Campbell, PT, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Ellingjord-Dale, M, Figueiredo, JC, Gallinger, SJ, Giles, GG, Giovannucci, E, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harlid, S, Harrison, TA, Hoffmeister, M, Hopper, JL, Hsu, L, Maria Huerta, J, Huyghe, JR, Jenkins, MA, Keku, TO, Kuehn, T, La Vecchia, C, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Lynch, B, Markowitz, SD, Masala, G, May, AM, Milne, R, Monninkhof, E, Moreno, L, Moreno, V, Newcomb, PA, Offit, K, Perduca, V, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Riboli, E, Sanchez, M-J, Schmit, SL, Schoen, RE, Severi, G, Sieri, S, Slattery, ML, Song, M, Tangen, CM, Thibodeau, SN, Travis, RC, Trichopoulou, A, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gunter, MJ, Murphy, N, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Martin, RM, Lewis, SJ, Kazmi, N, Robinson, TM, Albanes, D, Aleksandrova, K, Berndt, SI, Bishop, DT, Brenner, H, Buchanan, DD, Bueno-de-Mesquita, B, Campbell, PT, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Ellingjord-Dale, M, Figueiredo, JC, Gallinger, SJ, Giles, GG, Giovannucci, E, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harlid, S, Harrison, TA, Hoffmeister, M, Hopper, JL, Hsu, L, Maria Huerta, J, Huyghe, JR, Jenkins, MA, Keku, TO, Kuehn, T, La Vecchia, C, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Lynch, B, Markowitz, SD, Masala, G, May, AM, Milne, R, Monninkhof, E, Moreno, L, Moreno, V, Newcomb, PA, Offit, K, Perduca, V, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Riboli, E, Sanchez, M-J, Schmit, SL, Schoen, RE, Severi, G, Sieri, S, Slattery, ML, Song, M, Tangen, CM, Thibodeau, SN, Travis, RC, Trichopoulou, A, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gunter, MJ, and Murphy, N
Abstract: Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value = 0.01). We found similar magnitude inverse associations for estrogen positive (ER+ve) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers.
Published: 2020

8. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk

Author: Wang, X, Su, Y-R, Petersen, PS, Bien, S, Schmit, SL, Drew, DA, Albanes, D, Berndt, S, Brenner, H, Campbell, PT, Casey, G, Cheng-Claude, J, Gallinger, S, Gruber, SB, Haile, RW, Harrison, TA, Hoffmeister, M, Jacobs, EJ, Jenkins, MA, Joshi, AD, Li, L, Lin, Y, Lindor, NM, Le Marchand, L, Martin, V, Milne, R, Maclnnis, R, Moreno, V, Nan, H, Newcomb, PA, Potter, JD, Rennert, G, Rennert, HS, Slattery, ML, Thibodeau, SN, Weinstein, SJ, Woods, MO, Chan, AT, White, E, Hsu, L, Peters, U, Wang, X, Su, Y-R, Petersen, PS, Bien, S, Schmit, SL, Drew, DA, Albanes, D, Berndt, S, Brenner, H, Campbell, PT, Casey, G, Cheng-Claude, J, Gallinger, S, Gruber, SB, Haile, RW, Harrison, TA, Hoffmeister, M, Jacobs, EJ, Jenkins, MA, Joshi, AD, Li, L, Lin, Y, Lindor, NM, Le Marchand, L, Martin, V, Milne, R, Maclnnis, R, Moreno, V, Nan, H, Newcomb, PA, Potter, JD, Rennert, G, Rennert, HS, Slattery, ML, Thibodeau, SN, Weinstein, SJ, Woods, MO, Chan, AT, White, E, Hsu, L, and Peters, U
Abstract: BACKGROUND: Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk, but variations in gene expression levels may also modify the effect of NSAID use. Therefore, we tested interactions between NSAID use and predicted gene expression levels in relation to colorectal cancer risk. METHODS: Genetically predicted gene expressions were tested for interaction with NSAID use on colorectal cancer risk among 19,258 colorectal cancer cases and 18,597 controls from 21 observational studies. A Mixed Score Test for Interactions (MiSTi) approach was used to jointly assess G × E effects which are modeled via fixed interaction effects of the weighted burden within each gene set (burden) and residual G × E effects (variance). A false discovery rate (FDR) at 0.2 was applied to correct for multiple testing. RESULTS: Among the 4,840 genes tested, genetically predicted expression levels of four genes modified the effect of any NSAID use on colorectal cancer risk, including DPP10 (PG×E = 1.96 × 10-4), KRT16 (PG×E = 2.3 × 10-4), CD14 (PG×E = 9.38 × 10-4), and CYP27A1 (PG×E = 1.44 × 10-3). There was a significant interaction between expression level of RP11-89N17 and regular use of aspirin only on colorectal cancer risk (PG×E = 3.23 × 10-5). No interactions were observed between predicted gene expression and nonaspirin NSAID use at FDR < 0.2. CONCLUSIONS: By incorporating functional information, we discovered several novel genes that interacted with NSAID use. IMPACT: These findings provide preliminary support that could help understand the chemopreventive mechanisms of NSAIDs on colorectal cancer.
Published: 2020

9. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer (vol 138, pg 307, 2019)

Author: Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, Peters, U, Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, and Peters, U
Abstract: Every author has erroneously been assigned to the affiliation "62". The affiliation 62 belongs to the author Graham Casey.
Published: 2019

10. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Author: Schmit, SL, Edlund, CK, Schumacher, FR, Gong, J, Harrison, TA, Huyghe, JR, Qu, C, Melas, M, Van den Berg, DJ, Wang, H, Tring, S, Plummer, SJ, Albanes, D, Alonso, MH, Amos, CI, Anton, K, Aragaki, AK, Arndt, V, Barry, EL, Berndt, SI, Bezieau, S, Bien, S, Bloomer, A, Boehm, J, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buchanan, DD, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castelao, JE, Chan, AT, Chang-Claude, J, Chanock, SJ, Cheng, I, Cheng, Y-W, Chin, LS, Church, JM, Church, T, Coetzee, GA, Cotterchio, M, Correa, MC, Curtis, KR, Duggan, D, Easton, DF, English, D, Feskens, EJM, Fischer, R, FitzGerald, LM, Fortini, BK, Fritsche, LG, Fuchs, CS, Gago-Dominguez, M, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Giovannucci, EL, Gogarten, SM, Gonzalez-Villalpando, C, Gonzalez-Villalpando, EM, Grady, WM, Greenson, JK, Gsur, A, Gunter, M, Haiman, CA, Hampe, J, Harlid, S, Harju, JF, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Huang, S-C, Huerta, JM, Hudson, TJ, Hunter, DJ, Idos, GE, Iwasaki, M, Jackson, RD, Jacobs, EJ, Jee, SH, Jenkins, MA, Jia, W-H, Jiao, S, Joshi, AD, Kolonel, LN, Kono, S, Kooperberg, C, Krogh, V, Kuehn, T, Kury, S, LaCroix, A, Laurie, CA, Lejbkowicz, F, Lemire, M, Lenz, H-J, Levine, D, Li, CI, Li, L, Lieb, W, Lin, Y, Lindor, NM, Liu, Y-R, Loupakis, F, Lu, Y, Luh, F, Ma, J, Mancao, C, Manion, FJ, Markowitz, SD, Martin, V, Matsuda, K, Matsuo, K, McDonnell, KJ, McNeil, CE, Milne, R, Molina, AJ, Mukherjee, B, Murphy, N, Newcomb, PA, Offit, K, Omichessan, H, Palli, D, Cotore, JPP, Perez-Mayoral, J, Pharoah, PD, Potter, JD, Raskin, L, Rennert, G, Rennert, HS, Riggs, BM, Schafmayer, C, Schoen, RE, Sellers, TA, Seminara, D, Severi, G, Shi, W, Shibata, D, Shu, X-O, Siegel, EM, Slattery, ML, Southey, M, Stadler, ZK, Stern, MC, Stintzing, S, Taverna, D, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Tsugane, S, Ulrich, CM, van Duijnhoven, FJB, van Guelpan, B, Vijai, J, Virtamo, J, Weinstein, SJ, White, E, Win, AK, Wolk, A, Woods, M, Wu, AH, Wu, K, Xiang, Y-B, Yen, Y, Zanke, BW, Zeng, Y-X, Zhang, B, Zubair, N, Kweon, S-S, Figueiredo, JC, Zheng, W, Le Marchand, L, Lindblom, A, Moreno, V, Peters, U, Casey, G, Hsu, L, Conti, DV, Gruber, SB, Schmit, SL, Edlund, CK, Schumacher, FR, Gong, J, Harrison, TA, Huyghe, JR, Qu, C, Melas, M, Van den Berg, DJ, Wang, H, Tring, S, Plummer, SJ, Albanes, D, Alonso, MH, Amos, CI, Anton, K, Aragaki, AK, Arndt, V, Barry, EL, Berndt, SI, Bezieau, S, Bien, S, Bloomer, A, Boehm, J, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buchanan, DD, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castelao, JE, Chan, AT, Chang-Claude, J, Chanock, SJ, Cheng, I, Cheng, Y-W, Chin, LS, Church, JM, Church, T, Coetzee, GA, Cotterchio, M, Correa, MC, Curtis, KR, Duggan, D, Easton, DF, English, D, Feskens, EJM, Fischer, R, FitzGerald, LM, Fortini, BK, Fritsche, LG, Fuchs, CS, Gago-Dominguez, M, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Giovannucci, EL, Gogarten, SM, Gonzalez-Villalpando, C, Gonzalez-Villalpando, EM, Grady, WM, Greenson, JK, Gsur, A, Gunter, M, Haiman, CA, Hampe, J, Harlid, S, Harju, JF, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Huang, S-C, Huerta, JM, Hudson, TJ, Hunter, DJ, Idos, GE, Iwasaki, M, Jackson, RD, Jacobs, EJ, Jee, SH, Jenkins, MA, Jia, W-H, Jiao, S, Joshi, AD, Kolonel, LN, Kono, S, Kooperberg, C, Krogh, V, Kuehn, T, Kury, S, LaCroix, A, Laurie, CA, Lejbkowicz, F, Lemire, M, Lenz, H-J, Levine, D, Li, CI, Li, L, Lieb, W, Lin, Y, Lindor, NM, Liu, Y-R, Loupakis, F, Lu, Y, Luh, F, Ma, J, Mancao, C, Manion, FJ, Markowitz, SD, Martin, V, Matsuda, K, Matsuo, K, McDonnell, KJ, McNeil, CE, Milne, R, Molina, AJ, Mukherjee, B, Murphy, N, Newcomb, PA, Offit, K, Omichessan, H, Palli, D, Cotore, JPP, Perez-Mayoral, J, Pharoah, PD, Potter, JD, Raskin, L, Rennert, G, Rennert, HS, Riggs, BM, Schafmayer, C, Schoen, RE, Sellers, TA, Seminara, D, Severi, G, Shi, W, Shibata, D, Shu, X-O, Siegel, EM, Slattery, ML, Southey, M, Stadler, ZK, Stern, MC, Stintzing, S, Taverna, D, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Tsugane, S, Ulrich, CM, van Duijnhoven, FJB, van Guelpan, B, Vijai, J, Virtamo, J, Weinstein, SJ, White, E, Win, AK, Wolk, A, Woods, M, Wu, AH, Wu, K, Xiang, Y-B, Yen, Y, Zanke, BW, Zeng, Y-X, Zhang, B, Zubair, N, Kweon, S-S, Figueiredo, JC, Zheng, W, Le Marchand, L, Lindblom, A, Moreno, V, Peters, U, Casey, G, Hsu, L, Conti, DV, and Gruber, SB
Abstract: BACKGROUND: Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. METHODS: We conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. RESULTS: The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. CONCLUSIONS: T
Published: 2019

11. Shared heritability and functional enrichment across six solid cancers

Author: Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, Lindstrom, S, Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, and Lindstrom, S
Abstract: Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
Published: 2019

12. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer

Author: Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, Peters, U, Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, and Peters, U
Abstract: Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we used reference datasets from colon (n = 169) and whole blood (n = 922) transcriptomes to test CRC association with genetically determined expression levels in a genome-wide analysis of 12,186 cases and 14,718 controls. Three novel associations were discovered from colon transverse models at FDR ≤ 0.2 and further evaluated in an independent replication including 32,825 cases and 39,933 controls. After adjusting for multiple comparisons, we found statistically significant associations using colon transcriptome models with TRIM4 (discovery P = 2.2 × 10- 4, replication P = 0.01), and PYGL (discovery P = 2.3 × 10- 4, replication P = 6.7 × 10- 4). Interestingly, both genes encode proteins that influence redox homeostasis and are related to cellular metabolic reprogramming in tumors, implicating a novel CRC pathway linked to cell growth and proliferation. Defining CRC risk regions as one megabase up- and downstream of one of the 56 independent risk variants, we defined 44 non-overlapping CRC-risk regions. Among these risk regions, we identified genes associated with CRC (P < 0.05) in 34/44 CRC-risk regions. Importantly, CRC association was found for two genes in the previously reported 2q25 locus, CXCR1 and CXCR2, which are potential cancer therapeutic targets. These findings provide strong candidate genes to prioritize for subsequent laboratory follow-up of GWAS loci. This study is the first to implement PrediXcan in a large colorectal cancer study and findings highlight the utility of integrating transcriptome data in GWAS for discovery of, and biological insight in
Published: 2019

13. Discovery of common and rare genetic risk variants for colorectal cancer

Author: Huyghe, JR, Bien, SA, Harrison, TA, Kang, HM, Chen, S, Schmit, SL, Conti, DV, Qu, C, Jeon, J, Edlund, CK, Greenside, P, Wainberg, M, Schumacher, FR, Smith, JD, Levine, DM, Nelson, SC, Sinnott-Armstrong, NA, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Bamia, C, Banbury, BL, Baron, JA, Berndt, SI, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Chirlaque, M-D, Cho, SH, Connolly, CM, Cross, AJ, Cuk, K, Curtis, KR, de la Chapelle, A, Doheny, KF, Duggan, D, Easton, DF, Elias, SG, Elliott, F, English, DR, Feskens, EJM, Figueiredo, JC, Fischer, R, FitzGerald, LM, Forman, D, Gala, M, Gallinger, S, Gauderman, WJ, Giles, GG, Gillanders, E, Gong, J, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hampel, H, Harlid, S, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Hunter, DJ, Ibanez-Sanz, G, Idos, GE, Ingersoll, R, Jackson, RD, Jacobs, EJ, Jenkins, MA, Joshi, AD, Joshu, CE, Keku, TO, Key, TJ, Kim, HR, Kobayashi, E, Kolonel, LN, Kooperberg, C, Kuehn, T, Kury, S, Kweon, S-S, Larsson, SC, Laurie, CA, Le Marchand, L, Leal, SM, Lee, SC, Lejbkowicz, F, Lemire, M, Li, CI, Li, L, Lieb, W, Lin, Y, Lindblom, A, Lindor, NM, Ling, H, Louie, TL, Mannisto, S, Markowitz, SD, Martin, V, Masala, G, McNeil, CE, Melas, M, Milne, RL, Moreno, L, Murphy, N, Myte, R, Naccarati, A, Newcomb, PA, Offit, K, Ogino, S, Onland-Moret, NC, Pardini, B, Parfrey, PS, Pearlman, R, Perduca, V, Pharoah, PDP, Pinchev, M, Platz, EA, Prentice, RL, Pugh, E, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Rodriguez-Barranco, M, Romm, J, Sakoda, LC, Schafmayer, C, Schoen, RE, Seminara, D, Shah, M, Shelford, T, Shin, M-H, Shulman, K, Sieri, S, Slattery, ML, Southey, MC, Stadler, ZK, Stegmaier, C, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Thomas, SS, Toland, AE, Trichopoulou, A, Ulrich, CM, Van den Berg, DJ, van Duijnhoven, FJB, Van Guelpen, B, van Kranen, H, Vijai, J, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Win, AK, Wolf, CR, Wolk, A, Woods, MO, Wu, AH, Zaidi, SH, Zanke, BW, Zhang, Q, Zheng, W, Scacheri, PC, Potter, JD, Bassik, MC, Kundaje, A, Casey, G, Moreno, V, Abecasis, GR, Nickerson, DA, Gruber, SB, Hsu, L, Peters, U, Huyghe, JR, Bien, SA, Harrison, TA, Kang, HM, Chen, S, Schmit, SL, Conti, DV, Qu, C, Jeon, J, Edlund, CK, Greenside, P, Wainberg, M, Schumacher, FR, Smith, JD, Levine, DM, Nelson, SC, Sinnott-Armstrong, NA, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Bamia, C, Banbury, BL, Baron, JA, Berndt, SI, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Chirlaque, M-D, Cho, SH, Connolly, CM, Cross, AJ, Cuk, K, Curtis, KR, de la Chapelle, A, Doheny, KF, Duggan, D, Easton, DF, Elias, SG, Elliott, F, English, DR, Feskens, EJM, Figueiredo, JC, Fischer, R, FitzGerald, LM, Forman, D, Gala, M, Gallinger, S, Gauderman, WJ, Giles, GG, Gillanders, E, Gong, J, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hampel, H, Harlid, S, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Hunter, DJ, Ibanez-Sanz, G, Idos, GE, Ingersoll, R, Jackson, RD, Jacobs, EJ, Jenkins, MA, Joshi, AD, Joshu, CE, Keku, TO, Key, TJ, Kim, HR, Kobayashi, E, Kolonel, LN, Kooperberg, C, Kuehn, T, Kury, S, Kweon, S-S, Larsson, SC, Laurie, CA, Le Marchand, L, Leal, SM, Lee, SC, Lejbkowicz, F, Lemire, M, Li, CI, Li, L, Lieb, W, Lin, Y, Lindblom, A, Lindor, NM, Ling, H, Louie, TL, Mannisto, S, Markowitz, SD, Martin, V, Masala, G, McNeil, CE, Melas, M, Milne, RL, Moreno, L, Murphy, N, Myte, R, Naccarati, A, Newcomb, PA, Offit, K, Ogino, S, Onland-Moret, NC, Pardini, B, Parfrey, PS, Pearlman, R, Perduca, V, Pharoah, PDP, Pinchev, M, Platz, EA, Prentice, RL, Pugh, E, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Rodriguez-Barranco, M, Romm, J, Sakoda, LC, Schafmayer, C, Schoen, RE, Seminara, D, Shah, M, Shelford, T, Shin, M-H, Shulman, K, Sieri, S, Slattery, ML, Southey, MC, Stadler, ZK, Stegmaier, C, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Thomas, SS, Toland, AE, Trichopoulou, A, Ulrich, CM, Van den Berg, DJ, van Duijnhoven, FJB, Van Guelpen, B, van Kranen, H, Vijai, J, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Win, AK, Wolf, CR, Wolk, A, Woods, MO, Wu, AH, Zaidi, SH, Zanke, BW, Zhang, Q, Zheng, W, Scacheri, PC, Potter, JD, Bassik, MC, Kundaje, A, Casey, G, Moreno, V, Abecasis, GR, Nickerson, DA, Gruber, SB, Hsu, L, and Peters, U
Abstract: To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
Published: 2019

14. Shared heritability and functional enrichment across six solid cancers (vol 10, 431, 2019)

Author: Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, deFazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Dork, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuehl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Elias Aguado-Barrera, M, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, McKay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, Lindstrom, S, Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, deFazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Dork, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuehl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Elias Aguado-Barrera, M, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, McKay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, and Lindstrom, S
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2019

15. Genome-wide association study of colorectal cancer identifies six new susceptibility loci

Author: Schumacher, FR, Schmit, SL, Jiao, S, Edlund, CK, Wang, H, Zhang, B, Hsu, L, Huang, S-C, Fischer, CP, Harju, JF, Idos, GE, Lejbkowicz, F, Manion, FJ, McDonnell, K, McNeil, CE, Melas, M, Rennert, HS, Shi, W, Thomas, DC, Van Den Berg, DJ, Hutter, CM, Aragaki, AK, Butterbach, K, Caan, BJ, Carlson, CS, Chanock, SJ, Curtis, KR, Fuchs, CS, Gala, M, Giocannucci, EL, Gogarten, SM, Hayes, RB, Henderson, B, Hunter, DJ, Jackson, RD, Kolonel, LN, Kooperberg, C, Kury, S, LaCroix, A, Laurie, CC, Laurie, CA, Lemire, M, Levine, D, Ma, J, Makar, KW, Qu, C, Taverna, D, Ulrich, CM, Wu, K, Kono, S, West, DW, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Chan, AT, Chang-Claude, J, Coetzee, GA, Conti, DV, Duggan, D, Figueiredo, JC, Fortini, BK, Gallinger, SJ, Gauderman, WJ, Giles, G, Green, R, Haile, R, Harrison, TA, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jacobs, E, Iwasaki, M, Jee, SH, Jenkins, M, Jia, W-H, Joshi, A, Li, L, Lindor, NM, Matsuo, K, Moreno, V, Mukherjee, B, Newcomb, PA, Potter, JD, Raskin, L, Rennert, G, Rosse, S, Severi, G, Schoen, RE, Seminara, D, Shu, X-O, Slattery, ML, Tsugane, S, White, E, Xiang, Y-B, Zanke, BW, Zheng, W, Le Marchand, L, Casey, G, Gruber, SB, Peters, U, Schumacher, FR, Schmit, SL, Jiao, S, Edlund, CK, Wang, H, Zhang, B, Hsu, L, Huang, S-C, Fischer, CP, Harju, JF, Idos, GE, Lejbkowicz, F, Manion, FJ, McDonnell, K, McNeil, CE, Melas, M, Rennert, HS, Shi, W, Thomas, DC, Van Den Berg, DJ, Hutter, CM, Aragaki, AK, Butterbach, K, Caan, BJ, Carlson, CS, Chanock, SJ, Curtis, KR, Fuchs, CS, Gala, M, Giocannucci, EL, Gogarten, SM, Hayes, RB, Henderson, B, Hunter, DJ, Jackson, RD, Kolonel, LN, Kooperberg, C, Kury, S, LaCroix, A, Laurie, CC, Laurie, CA, Lemire, M, Levine, D, Ma, J, Makar, KW, Qu, C, Taverna, D, Ulrich, CM, Wu, K, Kono, S, West, DW, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Chan, AT, Chang-Claude, J, Coetzee, GA, Conti, DV, Duggan, D, Figueiredo, JC, Fortini, BK, Gallinger, SJ, Gauderman, WJ, Giles, G, Green, R, Haile, R, Harrison, TA, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jacobs, E, Iwasaki, M, Jee, SH, Jenkins, M, Jia, W-H, Joshi, A, Li, L, Lindor, NM, Matsuo, K, Moreno, V, Mukherjee, B, Newcomb, PA, Potter, JD, Raskin, L, Rennert, G, Rosse, S, Severi, G, Schoen, RE, Seminara, D, Shu, X-O, Slattery, ML, Tsugane, S, White, E, Xiang, Y-B, Zanke, BW, Zheng, W, Le Marchand, L, Casey, G, Gruber, SB, and Peters, U
Abstract: Genetic susceptibility to colorectal cancer is caused by rare pathogenic mutations and common genetic variants that contribute to familial risk. Here we report the results of a two-stage association study with 18,299 cases of colorectal cancer and 19,656 controls, with follow-up of the most statistically significant genetic loci in 4,725 cases and 9,969 controls from two Asian consortia. We describe six new susceptibility loci reaching a genome-wide threshold of P<5.0E-08. These findings provide additional insight into the underlying biological mechanisms of colorectal cancer and demonstrate the scientific value of large consortia-based genetic epidemiology studies.
Published: 2015

16. Genome-wide association study of colorectal cancer identifies six new susceptibility loci (vol 6, 7138, 2015)

Author: Schumacher, FR, Schmit, SL, Jiao, S, Edlund, CK, Wang, H, Zhang, B, Hsu, L, Huang, S-C, Fischer, CP, Harju, JF, Idos, GE, Lejbkowicz, F, Manion, FJ, McDonnell, K, McNeil, CE, Melas, M, Rennert, HS, Shi, W, Thomas, DC, Van den Berg, DJ, Hutter, CM, Aragaki, AK, Butterbach, K, Caan, BJ, Carlson, CS, Chanock, SJ, Curtis, KR, Fuchs, CS, Gala, M, Giovannucci, EL, Gogarten, SM, Hayes, RB, Henderson, B, Hunter, DJ, Jackson, RD, Kolonel, LN, Kooperberg, C, Kuery, S, LaCroix, A, Laurie, CC, Laurie, CA, Lemire, M, Levine, D, Ma, J, Makar, KW, Qu, C, Taverna, D, Ulrich, CM, Wu, K, Kono, S, West, DW, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Chan, AT, Chang-Claude, J, Coetzee, GA, Conti, DV, Duggan, D, Figueiredo, JC, Fortini, BK, Gallinger, SJ, Gauderman, WJ, Giles, G, Green, R, Haile, R, Harrison, TA, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jacobs, E, Iwasaki, M, Jee, SH, Jenkins, M, Jia, W-H, Joshi, A, Li, L, Lindor, NM, Matsuo, K, Moreno, V, Mukherjee, B, Newcomb, PA, Potter, JD, Raskin, L, Rennert, G, Rosse, S, Severi, G, Schoen, RE, Seminara, D, Shu, X-O, Slattery, ML, Tsugane, S, White, E, Xiang, Y-B, Zanke, BW, Zheng, W, Le Marchand, L, Casey, G, Gruber, SB, Peters, U, Schumacher, FR, Schmit, SL, Jiao, S, Edlund, CK, Wang, H, Zhang, B, Hsu, L, Huang, S-C, Fischer, CP, Harju, JF, Idos, GE, Lejbkowicz, F, Manion, FJ, McDonnell, K, McNeil, CE, Melas, M, Rennert, HS, Shi, W, Thomas, DC, Van den Berg, DJ, Hutter, CM, Aragaki, AK, Butterbach, K, Caan, BJ, Carlson, CS, Chanock, SJ, Curtis, KR, Fuchs, CS, Gala, M, Giovannucci, EL, Gogarten, SM, Hayes, RB, Henderson, B, Hunter, DJ, Jackson, RD, Kolonel, LN, Kooperberg, C, Kuery, S, LaCroix, A, Laurie, CC, Laurie, CA, Lemire, M, Levine, D, Ma, J, Makar, KW, Qu, C, Taverna, D, Ulrich, CM, Wu, K, Kono, S, West, DW, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Chan, AT, Chang-Claude, J, Coetzee, GA, Conti, DV, Duggan, D, Figueiredo, JC, Fortini, BK, Gallinger, SJ, Gauderman, WJ, Giles, G, Green, R, Haile, R, Harrison, TA, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jacobs, E, Iwasaki, M, Jee, SH, Jenkins, M, Jia, W-H, Joshi, A, Li, L, Lindor, NM, Matsuo, K, Moreno, V, Mukherjee, B, Newcomb, PA, Potter, JD, Raskin, L, Rennert, G, Rosse, S, Severi, G, Schoen, RE, Seminara, D, Shu, X-O, Slattery, ML, Tsugane, S, White, E, Xiang, Y-B, Zanke, BW, Zheng, W, Le Marchand, L, Casey, G, Gruber, SB, and Peters, U
Published: 2015

17. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

Author: Amos, CI, Dennis, J, Wang, Z, Byun, J, Schumacher, FR, Gayther, SA, Casey, G, Hunter, DJ, Sellers, TA, Gruber, SB, Dunning, AM, Michailidou, K, Fachal, L, Doheny, K, Spurdle, AB, Li, Y, Xiao, X, Romm, J, Pugh, E, Coetzee, GA, Hazelett, DJ, Bojesen, SE, Caga-Anan, C, Haiman, CA, Kamal, A, Luccarini, C, Tessier, D, Vincent, D, Bacot, F, Van Den Berg, DJ, Nelson, S, Demetriades, S, Goldgar, DE, Couch, FJ, Forman, JL, Giles, GG, Conti, DV, Bickeböller, H, Risch, A, Waldenberger, M, Brüske-Hohlfeld, I, Hicks, BD, Ling, H, McGuffog, L, Lee, A, Kuchenbaecker, K, Soucy, P, Manz, J, Cunningham, JM, Butterbach, K, Kote-Jarai, Z, Kraft, P, FitzGerald, L, Lindström, S, Adams, M, McKay, JD, Phelan, CM, Benlloch, S, Kelemen, LE, Brennan, P, Riggan, M, O'Mara, TA, Shen, H, Shi, Y, Thompson, DJ, Goodman, MT, Nielsen, SF, Berchuck, A, Laboissiere, S, Schmit, SL, Shelford, T, Edlund, CK, Taylor, JA, Field, JK, Park, SK, Offit, K, Thomassen, M, Schmutzler, R, Ottini, L, Hung, RJ, Marchini, J, Amin Al Olama, A, Peters, U, Eeles, RA, Seldin, MF, Gillanders, E, Seminara, D, Antoniou, AC, Pharoah, PDP, Chenevix-Trench, G, Chanock, SJ, Simard, J, and Easton, DF
Subjects: Male, Genotype, Genetic Variation, Prognosis, Polymorphism, Single Nucleotide, Risk Assessment, 3. Good health, Neoplasms, Prevalence, Humans, Female, Genetic Predisposition to Disease, Selection, Genetic, Genome-Wide Association Study
Abstract: BACKGROUND: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. METHODS: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. RESULTS: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. CONCLUSIONS: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. IMPACT: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126-35. ©2016 AACR.

18. Physical activity and risks of breast and colorectal cancer : a Mendelian randomisation analysis

Author: Michael O. Woods, Fränzel J.B. van Duijnhoven, Tilman Kühn, Graham G. Giles, Temitope O. Keku, Konstantinos K. Tsilidis, Andrew T. Chan, Mingyang Song, Michael Hoffmeister, Gad Rennert, Tabitha A. Harrison, Anna H. Wu, Kenneth Offit, Mark A. Jenkins, Elizabeth A Platz, Sabina Sieri, Noralane M Lindor, John D. Potter, D Timothy Bishop, Barbara L. Banbury, Anne M. May, Sonja I. Berndt, José María Huerta, Antonia Trichopoulou, Paul D.P. Pharoah, Niki Dimou, Christopher I. Li, Roger L. Milne, Marc J. Gunter, Hermann Brenner, Martha L. Slattery, Catherine M. Tangen, Gianluca Severi, Richard M. Martin, Nabila Kazmi, Ruth C. Travis, Sanford D. Markowitz, Jeroen R. Huyghe, Heather Hampel, Ulrike Peters, John L. Hopper, Brigid M. Lynch, Krasimira Aleksandrova, Alicja Wolk, Merete Ellingjord-Dale, Li Li, Bethany Van Guelpen, Sergi Castellví-Bel, Edward Giovannucci, Steven J Gallinger, Annika Lindblom, Cornelia M. Ulrich, Stephen B. Gruber, Stephanie L. Schmit, Jenny Chang-Claude, Lorena Moreno, Victor Moreno, Nikos Papadimitriou, Stephen N. Thibodeau, Elio Riboli, Sophia Harlid, Polly A. Newcomb, Pavel Vodicka, Demetrius Albanes, Bas Bueno-de-Mesquita, Maria J. Sánchez, Sarah J Lewis, Timothy Robinson, Daniel D Buchanan, Loic Le Marchand, Carlo La Vecchia, Robert E Schoen, Neil Murphy, Giovanna Masala, Evelyn M. Monninkhof, Jane C. Figueiredo, Andrea Gsur, Jochen Hampe, Vittorio Perduca, Li Hsu, Emily White, Peter T. Campbell, School of Public Health - Department of Epidemiology and Biostatistics, Imperial College London, University of Bristol [Bristol], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Epidemiology, German Institute of Human Nutrition, Division of Cancer Epidemiology and Genetics [Bethesda, MD, États-Unis], National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Division of Clinical Epidemiology and Aging Research, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment [Bilthoven] (RIVM), The Cancer, Ageing and Somatic Mutation Programme [Cambridgeshire, UK], The Wellcome Trust Sanger Institute [Cambridge], Division of Cancer Epidemiology, Samuel Lunenfeld Research Institute, Mount Sinai Hospital [Toronto, Canada] (MSH), University of Melbourne, Harvard School of Public Health, Department of Internal Medicine, Epidemiology, Human Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Medical Department 1 [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Ohio State University [Columbus] (OSU), FESTO, Universität Stuttgart [Stuttgart], Centre for MEGA Epidemiology, The University of Melbourne, Victoria, Australia, CIBER de Epidemiología y Salud Pública (CIBERESP), Department of Medical Genetics, HMNC Brain Health, Department of Clinical Sciences and Community Health [Milan, Italy], Università degli Studi di Milano [Milano] (UNIMI), University of Hawai‘i [Mānoa] (UHM), Chinese Center for Disease Control and Prevention, Department of Clinical Genetics, Karolinska University Hospital [Stockholm], Mayo Clinic, Case Western Reserve University [Cleveland], Cancer Risk Factors and LifeStyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Cancer Epidemiology Centre, Cancer Council Victoria, Biomedical Research Centre Network for Rare Diseases, CIBER de Enfermedades Raras (CIBERER), Memorial Sloane Kettering Cancer Center [New York], Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Department of Oncology, University of Cambridge [UK] (CAM), Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU), Department of Community Medicine and Epidemiology, CHS National Cancer Control Center, School of Public Health [London, UK] (Faculty of Medicine), Andalusian School of Public Health [Granada], Istituto Nazionale dei Tumori, Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Mayo Clinic [Rochester], University of Oxford [Oxford], WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School [Athens]-University of Athens Medical School [Athens], Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Department of Medical Biosciences and Pathology, Umeå University, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Karolinska Institutet [Stockholm], Nutrition and Metabolism Section, International Agency for Research on Cancer, [Papadimitriou,N, Dimou,N, Gunter,MJ, Murphy,N] Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France. [Tsilidis,KK] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. [Tsilidis,KK, Ellingjord-Dale,M, Riboli,E] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. [Banbury,B, Harrison,TA, Hsu,L, Huyghe,JR, Li,CI, Newcomb,PA, Potter,JD, White,E, Peters,U] Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. [Martin,RM, Kazmi,N] MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. [Martin,RM, Lewis,SJ, Robinson,TM] Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK. [Martin,RM] National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK. [Albanes,D, Berndt,SI] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MA, USA. [Aleksandrova,K] German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. [Bishop,DT] Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK. [Brenner,H, Hoffmeister,M] Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Brenner,H] Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany. [Brenner,H] German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany. [Buchanan,DD, Giles,GG, Hopper,JL, Jenkins,MA, Lynch,B, Milne,R] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia. [Buchanan,DD] Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia. [Buchanan,DD] Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia [Bueno-de-Mesquita,B] Former senior scientist, Dept. for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), BA Bilthoven, Netherlands. [Bueno-de-Mesquita,B] Former associate professor, Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, Netherlands. [Bueno-de-Mesquita,B] ormer visiting professor, Dept. of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London, London, UK. [Bueno-de-Mesquita,B] Former academic Icon / visiting professor, Dept. of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, Kuala Lumpur, Malaysia. [Campbell,PT] Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA. [Castellví-Bel,S, Moreno,L] Gastroenterology Department, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain. [Chan,AT, Song,M] Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. [Chan,AT, Song,M] Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. [Chang-Claude,J, Kühn,T] Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Chang-Claude,J] University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany. [Figueiredo,JC] Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. [Figueiredo,JC] Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. [Gallinger,SJ] Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada. [Giles,GG, Milne,R] Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia. [Giovannucci,E, Song,M] Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA. [Giovannucci,E, Song,M] Department of Nutrition, T.H. H, Chan School of Public Health, Boston, MA, USA. [Giovannucci,E] Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA. [Gruber,SB, Schmit,SL] Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. [Gsur,A] Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria. [Hampe,J] Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany. [Hampel,H] Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA. [Harlid,S] Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden. [Hopper,JL] Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea. [Hsu,L] Department of Biostatistics, University of Washington, Seattle, WA, USA. [Huerta,JM, Moreno,V, Sánchez,MJ] CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. [Keku,TO] Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA. [La Vecchia,C, Trichopoulou,A] Hellenic Health Foundation, Athens, Greece. [La Vecchia,C] Dept. of Clinical Sciences and Community Health, Università degli Studi di Milano, Milano, Italy. [Le Marchand,L] University of Hawaii Cancer Center, Honolulu, HI, USA. [Li,L] Department of Family Medicine, University of Virginia, Charlottesville, VA, USA. [Lindblom,A] Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden. [Lindblom,A] Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden. [Lindor,NM] Department of Health Science Research, Mayo Clinic, Scottsdale, AZ, USA. [Lynch,B] Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. [Markowitz,SD] Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University, and University Hospitals of Cleveland, Cleveland, OH, USA. [Masala,G] Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy. [May,AM, Monninkhof,E] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA UTRECHT, Netherlands. [Milne,R] Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia. [Moreno,V] Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain. [Moreno,V] Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain. [Newcomb,PA] School of Public Health, University of Washington, Seattle, WA, USA. [Offit,K] Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA. [Offit,K] Department of Medicine, Weill Cornell Medical College, New York, NY, USA. [Perduca,V, Severi,G] CESP, Fac. de médecine - Univ. ParisSud, Fac. de médecine - UVSQ I, Université Paris-Saclay, Villejuif, France. [Perduca,V, Severi,G] Gustave Roussy, Villejuif, France. [Perduca,V] Laboratoire de Mathématiques Appliquées MAP5 (UMR CNRS 8145), Université Paris Descartes, Paris, France. [Pharoah,PDP] Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. [Platz,EA] Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. [Rennert,G] Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel. [Rennert,G] 7Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel. [Rennert,G] Clalit National Cancer Control Center, Haifa, Israel. [Sánchez,MJ] Andalusian School of Public Health, Biomedical Research Institute ibs.GRANADA, University of Granada, Granada, Spain. [Schmit,SL] Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. [Schoen,RE] Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA. [Sieri,S] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. [Slattery,ML] Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA. [Tangen,CM] SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. [Thibodeau,SN] Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. [Travis,RC] Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. [Ulrich,CM] Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA. [van Duijnhoven,FJB] Division of Human Nutrition, Wageningen University and Research, Wageningen, Netherlands. [Van Guelpen,B] Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden. [Van Guelpen,B] Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden. [Vodicka,P] Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic. [Vodicka,P] Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic. [Vodicka,P] Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic. [White,E, Peters,U] Department of Epidemiology, University of Washington, Seattle, WA, USA. [Wolk,A] Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. [Woods,MO] Memorial University of Newfoundland, Discipline of Genetics, St. John’s, Canada. [Wu,AH] University of Southern California, Preventative Medicine, Los Angeles, CA, USA., This work was supported by the National Cancer Institute, the International Agency for Research on Cancer and a Cancer Research UK program grant (C18281/A19169 to RMM, SJL & NK). RMM was supported by the National Institute for Health Research (NIHR) Bristol Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The funding sources for BCAC, CCFR, GECCO, and CORECT consortia are presented in detail in the appendix in the Supplementary material., Tsilidis, Konstantinos K [0000-0002-8452-8472], Martin, Richard M [0000-0002-7992-7719], Lewis, Sarah J [0000-0003-4311-6890], Robinson, Timothy M [0000-0003-0933-646X], Timothy Bishop, D [0000-0002-8752-8785], Buchanan, Daniel D [0000-0003-2225-6675], Chan, Andrew T [0000-0001-7284-6767], Giles, Graham G [0000-0003-4946-9099], Gsur, Andrea [0000-0002-9795-1528], Hampe, Jochen [0000-0002-2421-6127], Hampel, Heather [0000-0001-7558-9794], Harlid, Sophia [0000-0001-8540-6891], Harrison, Tabitha A [0000-0002-4173-7530], María Huerta, José [0000-0002-9637-3869], Huyghe, Jeroen R [0000-0001-6027-9806], Jenkins, Mark A [0000-0002-8964-6160], La Vecchia, Carlo [0000-0003-1441-897X], Masala, Giovanna [0000-0002-5758-9069], Milne, Roger [0000-0001-5764-7268], Moreno, Victor [0000-0002-2818-5487], Newcomb, Polly A [0000-0001-8786-0043], Perduca, Vittorio [0000-0003-0339-0473], Pharoah, Paul D P [0000-0001-8494-732X], Potter, John D [0000-0001-5439-1500], Rennert, Gad [0000-0002-8512-068X], Riboli, Elio [0000-0001-6795-6080], Schmit, Stephanie L [0000-0001-5931-1194], Schoen, Robert E [0000-0001-7153-2766], Van Guelpen, Bethany [0000-0002-9692-101X], Wolk, Alicja [0000-0001-7387-6845], Peters, Ulrike [0000-0001-5666-9318], Murphy, Neil [0000-0003-3347-8249], Apollo - University of Cambridge Repository, Tsilidis, Konstantinos K. [0000-0002-8452-8472], Martin, Richard M. [0000-0002-7992-7719], Lewis, Sarah J. [0000-0003-4311-6890], Timothy Bishop, D. [0000-0002-8752-8785], Buchanan, Daniel D. [0000-0003-2225-6675], Chan, Andrew T. [0000-0001-7284-6767], Giles, Graham G. [0000-0003-4946-9099], Harrison, Tabitha A. [0000-0002-4173-7530], Huyghe, Jeroen R. [0000-0001-6027-9806], Jenkins, Mark A. [0000-0002-8964-6160], Newcomb, Polly A. [0000-0001-8786-0043], Pharoah, Paul D. P. [0000-0001-8494-732X], Potter, John D. [0000-0001-5439-1500], Schmit, Stephanie L. [0000-0001-5931-1194], Schoen, Robert E. [0000-0001-7153-2766], and Pharoah, Paul DP [0000-0001-8494-732X]
Subjects: Oncology, Epidemiology, Colorectal cancer, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Accelerometry [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Molecular Epidemiology::Mendelian Randomization Analysis [Medical Subject Headings], Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings], 0302 clinical medicine, Breast cancer, Epidemiology of cancer, Accelerometry, Odds Ratio, lcsh:Science, skin and connective tissue diseases, Cancer genetics, ComputingMilieux_MISCELLANEOUS, Cancer, 0303 health sciences, Biobank, 3. Good health, 030220 oncology & carcinogenesis, ICEP, Factores de riesgo, medicine.medical_specialty, Science, 631/67/2324, Diseases::Neoplasms::Neoplasms by Site::Digestive System Neoplasms::Gastrointestinal Neoplasms::Intestinal Neoplasms::Colorectal Neoplasms::Colorectal Neoplasms, Hereditary Nonpolyposis [Medical Subject Headings], Breast Neoplasms/genetics, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Càncer colorectal, Anthropology, Education, Sociology and Social Phenomena::Human Activities::Exercise [Medical Subject Headings], Humans, Epidemiologia, Exercise, VLAG, Cancer och onkologi, 45, 631/67/1347, Odds ratio, Mendelian Randomization Analysis, medicine.disease, Colorectal Neoplasms/genetics, 030104 developmental biology, Analyses, Risk factors, Check Tags::Female [Medical Subject Headings], Cancer and Oncology, lcsh:Q, Breast neoplasms, 0301 basic medicine, 631/67/1504/1885, Nutrition and Disease, General Physics and Astronomy, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings], Risk Factors, Neoplasias colorrectales, Voeding en Ziekte, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Odds Ratio [Medical Subject Headings], Multidisciplinary, article, Public Health, Global Health, Social Medicine and Epidemiology, Polymorphism, Single Nucleotide/genetics, Ejercicio físico, Neoplasias de la mama, Female, Colorectal Neoplasms, 631/67, 141, Breast Neoplasms, 45/23, Polymorphism, Single Nucleotide, Colorectal neoplasms, Càncer de mama, Diseases::Pathological Conditions, Signs and Symptoms::Pathologic Processes::Disease Attributes::Disease Susceptibility::Genetic Predisposition to Disease [Medical Subject Headings], Cancer epidemiology, 631/67/68, Internal medicine, Mendelian randomization, medicine, Journal Article, Life Science, Genetic Predisposition to Disease, Diseases::Neoplasms::Neoplasms by Site::Breast Neoplasms [Medical Subject Headings], 030304 developmental biology, Phenomena and Processes::Genetic Phenomena::Genetic Variation::Polymorphism, Genetic::Polymorphism, Single Nucleotide [Medical Subject Headings], business.industry, General Chemistry, Physical fitness, Confidence interval, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Condició física
Abstract: Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value = 0.01). We found similar magnitude inverse associations for estrogen positive (ER+ve) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers., United States Department of Health & Human Services National Institutes of Health (NIH) - USA NIH National Cancer Institute (NCI), International Agency for Research on Cancer, Cancer Research UK C18281/A19169, National Institute for Health Research (NIHR)
Published: 2020

19. Shared heritability and functional enrichment across six solid cancers

Author: Institut Català de la Salut, [Jiang X] Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. [Finucane HK] Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. [Schumacher FR] Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA. Seidman Cancer Center, University Hospitals, Cleveland, OH, USA. [Schmit SL] Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. [Tyrer JP] Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK. [Han Y] Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. [Diez O] Grup d'Oncogenètica, Vall d'Hebron Institut d'Oncologia, Barcelona, Spain. Hospital Universitari Vall d'Hebron, Barcelona, Spain, and Hospital Universitari Vall d'Hebron
Subjects: Càncer - Estudi de casos, Neoplasms [DISEASES], Otros calificadores::Otros calificadores::/genética [Otros calificadores], Fenómenos Genéticos::Patrón de Herencia [FENÓMENOS Y PROCESOS], Codi genètic, Other subheadings::Other subheadings::/genetics [Other subheadings], Neoplasias [ENFERMEDADES], Otros calificadores::Otros calificadores::Otros calificadores::/etnología [Otros calificadores], técnicas de investigación::métodos epidemiológicos::características de los estudios epidemiológicos::estudios epidemiológicos::estudios de casos y controles [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], Càncer - Aspectes genètics, Other subheadings::Other subheadings::Other subheadings::/ethnology [Other subheadings], Genetic Phenomena::Inheritance Patterns [PHENOMENA AND PROCESSES], Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics::Epidemiologic Studies::Case-Control Studies [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT]
Published: 2021

20. Shared heritability and functional enrichment across six solid cancers

Author: Graham G. Giles, Diana Eccles, Cezary Cybulski, Catherine M. Tangen, Leon Raskin, Per Hall, Ana Vega, Hedy S. Rennert, Andrew T. Chan, Stephan Lam, Michael Hoffmeister, Angeline S. Andrew, Claudine Isaacs, Matthias W. Beckmann, Vessela N. Kristensen, Julia A. Knight, Mark S. Goldberg, Jonathan Tyrer, Jane C. Figueiredo, Katherine L. Nathanson, Anna deFazio, Ian G. Campbell, Nora Pashayan, Liene Nikitina-Zake, Goska Leslie, Rosalind A. Eeles, Line Bjørge, Adonina Tardón, Angela Cox, Gregory Idos, Evgeny N. Imyanitov, Manolis Kogevinas, Marc Tischkowitz, Hilary K. Finucane, Hardev Pandha, Rayjean J. Hung, Davor Lessel, Richard S. Houlston, Andrew F. Olshan, André Lopes Carvalho, James D. McKay, Kenneth Offit, Penelope M. Webb, Barry S. Rosenstein, Melinda C. Aldrich, Alice S. Whittemore, Austin Miller, Miguel E. Aguado-Barrera, Amanda E. Toland, Anna Marie Mulligan, Catharine M L West, Susan J. Ramus, Jennifer Stone, David C. Christiani, Clarice R. Weinberg, Olivia Fletcher, Kyriaki Michailidou, Demetrius Albanes, Chu Chen, Jenny L Donovan, Linda E. Kelemen, Carolina Ellberg, Hermann Brenner, Eitan Friedman, Sara Margolin, Jacek Gronwald, Argyrios Ziogas, Elisa V. Bandera, Qin Wang, Christopher I. Amos, Swe-Brca, Douglas F. Easton, Karin Sundfeldt, John L. Hopper, Jong Y. Park, Børge G. Nordestgaard, Johanna Schleutker, Freddie C. Hamdy, Alicja Wolk, Graham Casey, Radka Kaneva, Joe Dennis, Francesmary Modugno, Paolo Radice, Aage Haugen, Ralf Bützow, Barbara Burwinkel, Maria A. Caligo, Paul A. Townsend, Daniel D. Buchanan, Håkan Olsson, Li Li, Elza Khusnutdinova, Karina Dalsgaard Sørensen, Marco Montagna, Patricia A. Ganz, Kirsten B. Moysich, Stephen B. Gruber, Geraldine Cancel-Tassin, Mary Anne Rossing, Mads Thomassen, Manuela Gago-Dominguez, Marjanka K. Schmidt, Jolanta Kupryjanczyk, Melissa C. Southey, Finn Cilius Nielsen, Sara Benlloch, Roger L. Milne, Manuel R. Teixeira, Taymaa May, David V. Conti, Thilo Dörk, Kathleen Claes, Manjeet K. Bolla, Douglas A. Levine, Lorelei A. Mucci, Irene L. Andrulis, Carl Blomqvist, Sara Lindström, Marjorie J. Riggan, Ellen L. Goode, Jenny Lester, Jack A. Taylor, Adam S. Kibel, Jyotsna Batra, Stephen N. Thibodeau, Elinor J. Sawyer, Stefania Boccia, Jacques Simard, Robert J. MacInnis, Fredrik Wiklund, Geoffrey Liu, Robert Winqvist, Robert J. Hamilton, Joan Brunet, Olufunmilayo I. Olopade, Jeffrey N. Weitzel, Susan L. Neuhausen, Robert L. Ferris, Georgia Chenevix-Trench, Elizabeth J. van Rensburg, Amanda B. Spurdle, Jeroen R. Huyghe, Stig E. Bojesen, Eric J. Duell, Christopher A. Haiman, Bogdan Pasaniuc, Wilbert H.M. Peters, M. Dawn Teare, Marc T. Goodman, Richa Saxena, Renée T. Fortner, Shanbeh Zienolddiny, Mia M. Gaudet, Stephanie J. Weinstein, Mikael Johansson, Heli Nevanlinna, Nhu D. Le, Rolando Herrero, Peter Kraft, Steven Gallinger, David E. Goldgar, Anna Jakubowska, Paul D.P. Pharoah, Erin M. Siegel, Gabriella Cadoni, Weiva Sieh, Esther M. John, Rebecca Sutphen, Kari Stefansson, Loic Le Marchand, David J. Hunter, Alkes L. Price, Judy Garber, Mary B. Daly, Flavio Lejbkowicz, Lambertus A. Kiemeney, Martha L. Slattery, Arto Mannermaa, Christian F. Singer, Daniele Campa, Hans Brunnström, Hongbing Shen, Els Van Nieuwenhuysen, V. Wendy Setiawan, Penella J. Woll, Catherine M. Phelan, Christopher I. Li, Robert L. Nussbaum, Niclas Håkansson, Triantafillos Liloglou, Stella Koutros, Kjell Grankvist, James D. Brenton, Annika Lindblom, Gad Rennert, Karoline Kuchenbaecker, Martin Lacko, Gary E. Goodman, Fredrick R. Schumacher, Henrik Grönberg, Diana Torres, J. Margriet Collée, Rosa B. Barkardottir, Amit Joshi, Trinidad Caldés, Mary Beth Terry, Jenny Chang-Claude, Paul Brennan, Simon A. Gayther, Mark H. Greene, Daniel R. Barnes, Janet L. Stanford, Miriam Dwek, Christiane Maier, Susanne K. Kjaer, Florentia Fostira, Miranda Pring, Noralane M. Lindor, Harvey A. Risch, David G. Huntsman, Kim De Ruyck, Judith A. Clements, Pooja Middha, Alison M. Dunning, Nadine Tung, Sebastian Stintzing, Michael O. Woods, Stephen J. Chanock, Andrew K. Godwin, Kenneth Muir, Eloiza H. Tajara, Silvia Franceschi, Xia Jiang, Li Hsu, Emily White, Peter T. Campbell, Paul A. James, Josef Heinz-Lenz, Ali Amin Al Olama, Victoria L. Stevens, Lovise Maehle, Fotios Loupakis, Peter Devilee, Orland Diez, Kristin K. Zorn, Stephanie A. Bien, Maria Teresa Landi, Mark A. Jenkins, Amanda I. Phipps, Alfons Meindl, Frank Claessens, Mark N. Brook, Kathryn L. Penney, Digna R. Velez Edwards, Montserrat Garcia-Closas, Diether Lambrechts, Zsofia Kote-Jarai, Fergus J. Couch, Duncan Thomas, Kathryn L. Terry, Ute Hamann, Heike Bickeböller, Christopher K. Edlund, Ana Osorio, Younghun Han, Jochen Hampe, Tee Kay-Khaw, Corina Lesseur, Peter A. Fasching, Lesley McGuffog, Eunjung Lee, Tabea Kühl, Andy R Ness, Kamila Czene, Angela Risch, Aocs Mod SQuaD, Jeri Kim, Anna H. Wu, Jacqueline M. Lane, Brenda Diergaarde, Ruth C. Travis, Julie M. Cunningham, Philip Lazarus, Shelley S. Tworoger, Natalia Antonenkova, Emmanouil Saloustros, Wei Zheng, Javier Benitez, Dijana Plaseska-Karanfilska, Mark C. Weissler, Marcia Cruz Correa, Hoda Anton-Culver, Neil E. Caporaso, Cornelia M. Ulrich, Stephanie L. Schmit, Antonis C. Antoniou, Victor Moreno, David E. Neal, Tanja Pejovic, Erich H-Wichmann, Pascal Guénel, Mattias Johansson, Florian Heitz, Beth Y. Karlan, Sonja I. Berndt, Anthony J. Swerdlow, Estrid Høgdall, Hiltrud Brauch, Ulrike Peters, D. Gareth Evans, Celine M. Vachon, Edith Olah, Dale P. Sandler, Lisa F. Newcomb, Michael T. Parsons, Lisa A. Cannon-Albright, Peter J. Hulick, José A. García-Sáenz, Sue A. Ingles, Andrew Berchuck, Peter Hillemanns, Matthew B. Schabath, Polly A. Newcomb, Banu Arun, Xifeng Wu, Darya Prokofyeva, Jan Lubinski, Susanne M. Arnold, Natalia Bogdanova, Drakoulis Yannoukakos, Nawaid Usmani, Kristan J. Aronson, Chul Yun-Hong, Monique J. Roobol, Clinical Genetics, Urology, Læknadeild (HÍ), Faculty of Medicine (UI), Lífvísindasetur (HÍ), Biomedical Center (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Finucane, Hilary K [0000-0003-3864-9828], Schumacher, Fredrick R [0000-0002-3073-7463], Schmit, Stephanie L [0000-0001-5931-1194], Michailidou, Kyriaki [0000-0001-7065-1237], Kuchenbaecker, Karoline B [0000-0001-9726-603X], Dennis, Joe [0000-0003-4591-1214], Huyghe, Jeroen R [0000-0001-6027-9806], Andrulis, Irene L [0000-0002-4226-6435], Arnold, Susanne M [0000-0001-6542-9551], Barnes, Daniel R [0000-0002-3781-7570], Batra, Jyotsna [0000-0003-4646-6247], Bojesen, Stig E [0000-0002-4061-4133], Brauch, Hiltrud [0000-0001-7531-2736], Brenton, James D [0000-0002-5738-6683], Brook, Mark N [0000-0002-8969-2378], Brunet, Joan [0000-0003-1945-3512], Brunnström, Hans [0000-0001-7402-138X], Buchanan, Daniel D [0000-0003-2225-6675], Campbell, Ian [0000-0002-7773-4155], Cancel-Tassin, Géraldine [0000-0002-9583-6382], Chan, Andrew T [0000-0001-7284-6767], Chanock, Stephen J [0000-0002-2324-3393], Claes, Kathleen BM [0000-0003-0841-7372], Cunningham, Julie M [0000-0002-8159-3025], Devilee, Peter [0000-0002-8023-2009], Ellberg, Carolina [0000-0001-7297-0645], Fasching, Peter A [0000-0003-4885-8471], Liloglou, Triantafillos [0000-0003-0460-1404], Fletcher, Olivia [0000-0001-9387-7116], García-Sáenz, José A [0000-0001-6880-0301], Grankvist, Kjell [0000-0003-4289-2097], Greene, Mark H [0000-0003-1852-9239], Gronberg, Henrik [0000-0002-1073-2753], Guénel, Pascal [0000-0002-8359-518X], Hampe, Jochen [0000-0002-2421-6127], Houlston, Richard [0000-0002-5268-0242], Hulick, Peter J [0000-0001-8397-4078], James, Paul [0000-0002-4361-4657], Jenkins, Mark A [0000-0002-8964-6160], Joshi, Amit D [0000-0001-7581-6934], Lambrechts, Diether [0000-0002-3429-302X], Leslie, Goska [0000-0001-5756-6222], Lessel, Davor [0000-0003-4496-244X], Levine, Douglas A [0000-0003-1038-8232], Miller, Austin [0000-0001-9739-8462], Milne, Roger L [0000-0001-5764-7268], Moreno, Victor [0000-0002-2818-5487], Muir, Kenneth [0000-0001-6429-988X], Nathanson, Katherine L [0000-0002-6740-0901], Nevanlinna, Heli [0000-0002-0916-2976], Newcomb, Polly A [0000-0001-8786-0043], Nikitina-Zake, Liene [0000-0003-2491-5187], Nordestgaard, Børge G [0000-0002-1954-7220], Olama, Ali Amin Al [0000-0002-7178-3431], Olopade, Olufunmilayo I [0000-0002-9936-1599], Pashayan, Nora [0000-0003-0843-2468], Parsons, Michael T [0000-0003-3242-8477], Plaseska-Karanfilska, Dijana [0000-0001-8877-2416], Raskin, Leon [0000-0003-1195-7214], Rennert, Gad [0000-0002-8512-068X], Risch, Angela [0000-0002-8026-5505], Roobol, Monique J [0000-0001-6967-1708], Saloustros, Emmanouil [0000-0002-0485-0120], Schabath, Matthew B [0000-0003-3241-3216], Schleutker, Johanna [0000-0002-1863-0305], Schmidt, Marjanka K [0000-0002-2228-429X], Sorensen, Karina Dalsgaard [0000-0002-4902-5490], Stintzing, Sebastian [0000-0002-3297-5801], Stone, Jennifer [0000-0001-5077-0124], Tardon, Adonina [0000-0001-5150-1209], Teixeira, Manuel R [0000-0002-4896-5982], Toland, Amanda E [0000-0002-0271-1792], Aguado-Barrera, Miguel Elías [0000-0002-7822-6726], Webb, Penelope M [0000-0003-0733-5930], Wolk, Alicja [0000-0001-7387-6845], Yannoukakos, Drakoulis [0000-0001-7509-3510], Zheng, Wei [0000-0003-1226-070X], Ziogas, Argyrios [0000-0003-4529-3727], Peters, Ulrike [0000-0001-5666-9318], Eeles, Rosalind A [0000-0002-3698-6241], Brennan, Paul J [0000-0002-0518-8714], Easton, Douglas F [0000-0003-2444-3247], Pharoah, Paul DP [0000-0001-8494-732X], Price, Alkes L [0000-0002-2971-7975], Apollo - University of Cambridge Repository, Institut Català de la Salut, [Jiang X] Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. [Finucane HK] Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. [Schumacher FR] Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA. Seidman Cancer Center, University Hospitals, Cleveland, OH, USA. [Schmit SL] Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. [Tyrer JP] Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK. [Han Y] Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. [Diez O] Grup d'Oncogenètica, Vall d'Hebron Institut d'Oncologia, Barcelona, Spain. Hospital Universitari Vall d'Hebron, Barcelona, Spain, Hospital Universitari Vall d'Hebron, Lääketieteen ja terveysteknologian tiedekunta - Faculty of Medicine and Health Technology, Tampere University, Cancer Research UK (Reino Unido), NIHR - Comprehensive Biomedical Research Centre, Guy ’ s & St. Thomas ’ NHS Foundation Trust, NIHR - Oxford Biomedical Research Centre (Reino Unido), German Cancer Research Center, Consejo Nacional de Ciencia y Tecnología (CONACyT), King College London, National Health and Medical Research Council (Australia), Canadian Institutes of Health Research, The BREast Oncology GAlician Network (BREOGAN, Dietmar-Hopp Foundation, Helmholtz Society and the German Cancer Research Center (DKFZ), Asociación Española Contra el Cáncer, Vall d'Hebron Barcelona Hospital Campus, Clinicum, Department of Oncology, University of Helsinki, Department of Pathology, Medicum, Department of Obstetrics and Gynecology, and HUS Comprehensive Cancer Center
Subjects: Oncology, Male, Lung Neoplasms, Colorectal cancer, Epidemiology, Inheritance Patterns, Genome-wide association study, 02 engineering and technology, Colorectal Neoplasms/diagnosis, Càncer - Aspectes genètics, 0302 clinical medicine, Neoplasm Proteins/genetics, Brjóstakrabbamein, PARTITIONING HERITABILITY, lcsh:Science, Càncer, Cancer genetics, Cancer, Càncer - Estudi de casos, Ovarian Neoplasms, Prostatic Neoplasms/diagnosis, 0303 health sciences, Otros calificadores::Otros calificadores::/genética [Otros calificadores], 1184 Genetics, developmental biology, physiology, Genomics, Publisher Correction, ddc, 3. Good health, Neoplasm Proteins, Head and Neck Neoplasms, 030220 oncology & carcinogenesis, Etiologia, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Neoplasias [ENFERMEDADES], ICEP, Erfðarannsóknir, 0210 nano-technology, Genetic Phenomena::Inheritance Patterns [PHENOMENA AND PROCESSES], medicine.medical_specialty, Biolääketieteet - Biomedicine, Science, Lung Neoplasms/diagnosis, European Continental Ancestry Group, Genetic correlation, Article, General Biochemistry, Genetics and Molecular Biology, White People, GENETIC ARCHITECTURE, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Syöpätaudit - Cancers, BREAST-CANCER, Humans, Otros calificadores::Otros calificadores::Otros calificadores::/etnología [Otros calificadores], Polymorphism, GENOME-WIDE ASSOCIATION, solid cancers, heritability, enrichment, Settore MED/42 - IGIENE GENERALE E APPLICATA, ResearchInstitutes_Networks_Beacons/mcrc, Fenómenos Genéticos::Patrón de Herencia [FENÓMENOS Y PROCESOS], ANALYSES IDENTIFY, Biology and Life Sciences, fenómenos genéticos::patrones de herencia [FENÓMENOS Y PROCESOS], medicine.disease, Càncer -- Etiologia, 030104 developmental biology, Case-Control Studies, RISK-FACTORS, lcsh:Q, 0301 basic medicine, Etiology, Medizin, General Physics and Astronomy, técnicas de investigación::métodos epidemiológicos::características de los estudios epidemiológicos::estudios epidemiológicos::estudios de casos y controles [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], head and neck, Prostate cancer, Medicine and Health Sciences, Càncer -- Aspectes genètics, Multidisciplinary, Manchester Cancer Research Centre, Mental Disorders, Codi genètic, Smoking, Single Nucleotide, 021001 nanoscience & nanotechnology, Phenotype, Centre for Surgical Research, Cancer -- Etiology, MENDELIAN RANDOMIZATION, Female, Smoking/ethnology, Colorectal Neoplasms, Mental Disorders/ethnology, Medical Genetics, Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics::Epidemiologic Studies::Case-Control Studies [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT], Cancer Etiology, Técnicas de Investigación::Métodos Epidemiológicos::Características de Estudios Epidemiológicos::Estudios Epidemiológicos::Estudios de Casos y Controles [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], SUSCEPTIBILITY LOCI, 3122 Cancers, Breast Neoplasms, Biology, Polymorphism, Single Nucleotide, LUNG-CANCER, All institutes and research themes of the Radboud University Medical Center, Internal medicine, MD Multidisciplinary, Other subheadings::Other subheadings::/genetics [Other subheadings], medicine, Erfðafræði, Genetic Predisposition to Disease, CELL-TYPES, Lung cancer, Krabbamein, Medicinsk genetik, 030304 developmental biology, Ovarian Neoplasms/diagnosis, Faraldsfræði, Prostatic Neoplasms, Breast Neoplasms/diagnosis, General Chemistry, Heritability, Head and Neck Neoplasms/diagnosis, Neoplasms [DISEASES], Genome-Wide Association Study, 3111 Biomedicine, Ovarian cancer, Other subheadings::Other subheadings::Other subheadings::/ethnology [Other subheadings]
Abstract: Publisher's version (útgefin grein)., Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10−8), breast and ovarian cancer (rg = 0.24, p = 7 × 10−5), breast and lung cancer (rg = 0.18, p =1.5 × 10−6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10−4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis., The authors in this manuscript were working on behalf of BCAC, CCFR, CIMBA, CORECT, GECCO, OCAC, PRACTICAL, CRUK, BPC3, CAPS, PEGASUS, TRICL-ILCCO, ABCTB, APCB, BCFR, CONSIT TEAM, EMBRACE, GC-HBOC, GEMO, HEBON, kConFab/AOCS Mod SQuaD, and SWE-BRCA. The breast cancer genome-wide association analyses: BCAC is funded by Cancer Research UK [C1287/A16563, C1287/A10118], the European Union’s Horizon 2020 Research and Innovation Programme (grant numbers 634935 and 633784 for BRIDGES and B-CAST, respectively), and by the European Community’s Seventh Framework Programme under grant agreement number 223175 (grant number HEALTH-F2-2009-223175) (COGS). The EU Horizon 2020 Research and Innovation Programme funding source had no role in study design, data collection, data analysis, data interpretation, or writing of the report. Genotyping of the OncoArray was funded by the NIH Grant U19 CA148065, and Cancer UK Grant C1287/A16563 and the PERSPECTIVE project supported by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research (grant GPH-129344) and, the Ministère de l’Économie, Science et Innovation du Québec through Genome Québec and the PSR-SIIRI-701 grant, and the Quebec Breast Cancer Foundation. Funding for the iCOGS infrastructure came from: the European Community’s Seventh Framework Programme under grant agreement n° 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692, C8197/A16565), the National Institutes of Health (CA128978), and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065, and 1U19 CA148112—the GAME-ON initiative), the Department of Defence (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, and Komen Foundation for the Cure, the Breast Cancer Research Foundation, and the Ovarian Cancer Research Fund. The DRIVE Consortium was funded by U19 CA148065. The Australian Breast Cancer Family Study (ABCFS) was supported by grant UM1 CA164920 from the National Cancer Institute (USA). The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centers in the Breast Cancer Family Registry (BCFR), nor does mention of trade names, commercial products, or organizations imply endorsement by the USA Government or the BCFR. The ABCFS was also supported by the National Health and Medical Research Council of Australia, the New South Wales Cancer Council, the Victorian Health Promotion Foundation (Australia), and the Victorian Breast Cancer Research Consortium. J.L.H. is a National Health and Medical Research Council (NHMRC) Senior Principal Research Fellow. M.C.S. is a NHMRC Senior Research Fellow. The ABCS study was supported by the Dutch Cancer Society [grants NKI 2007-3839; 2009 4363]. The Australian Breast Cancer Tissue Bank (ABCTB) is generously supported by the National Health and Medical Research Council of Australia, The Cancer Institute NSW and the National Breast Cancer Foundation. The ACP study is funded by the Breast Cancer Research Trust, UK. The AHS study is supported by the intramural research program of the National Institutes of Health, the National Cancer Institute (grant number Z01-CP010119), and the National Institute of Environmental Health Sciences (grant number Z01-ES049030). The work of the BBCC was partly funded by ELAN-Fond of the University Hospital of Erlangen. The BBCS is funded by Cancer Research UK and Breast Cancer Now and acknowledges NHS funding to the NIHR Biomedical Research Centre, and the National Cancer Research Network (NCRN). The BCEES was funded by the National Health and Medical Research Council, Australia and the Cancer Council Western Australia and acknowledges funding from the National Breast Cancer Foundation (JS). For the BCFR-NY, BCFR-PA, and BCFR-UT this work was supported by grant UM1 CA164920 from the National Cancer Institute. The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centers in the Breast Cancer Family Registry (BCFR), nor does mention of trade names, commercial products, or organizations imply endorsement by the US Government or the BCFR. For BIGGS, ES is supported by NIHR Comprehensive Biomedical Research Centre, Guy’s & St. Thomas’ NHS Foundation Trust in partnership with King’s College London, United Kingdom. IT is supported by the Oxford Biomedical Research Centre. BOCS is supported by funds from Cancer Research UK (C8620/A8372/A15106) and the Institute of Cancer Research (UK). BOCS acknowledges NHS funding to the Royal Marsden/Institute of Cancer Research NIHR Specialist Cancer Biomedical Research Centre. The BREast Oncology GAlician Network (BREOGAN) is funded by Acción Estratégica de Salud del Instituto de Salud Carlos III FIS PI12/02125/Cofinanciado FEDER; Acción Estratégica de Salud del Instituto de Salud Carlos III FIS Intrasalud (PI13/01136); Programa Grupos Emergentes, Cancer Genetics Unit, Instituto de Investigacion Biomedica Galicia Sur. Xerencia de Xestion Integrada de Vigo-SERGAS, Instituto de Salud Carlos III, Spain; Grant 10CSA012E, Consellería de Industria Programa Sectorial de Investigación Aplicada, PEME I + D e I + D Suma del Plan Gallego de Investigación, Desarrollo e Innovación Tecnológica de la Consellería de Industria de la Xunta de Galicia, Spain; Grant EC11-192. Fomento de la Investigación Clínica Independiente, Ministerio de Sanidad, Servicios Sociales e Igualdad, Spain; and Grant FEDER-Innterconecta. Ministerio de Economia y Competitividad, Xunta de Galicia, Spain. The BSUCH study was supported by the Dietmar-Hopp Foundation, the Helmholtz Society and the German Cancer Research Center (DKFZ). The CAMA study was funded by Consejo Nacional de Ciencia y Tecnología (CONACyT) (SALUD-2002-C01-7462). Sample collection and processing was funded in part by grants from the National Cancer Institute (NCI R01CA120120 and K24CA169004). CBCS is funded by the Canadian Cancer Society (grant # 313404) and the Canadian Institutes of Health Research. CCGP is supported by funding from the University of Crete. The CECILE study was supported by Fondation de France, Institut National du Cancer (INCa), Ligue Nationale contre le Cancer, Agence Nationale de Sécurité Sanitaire, de l’Alimentation, de l’Environnement et du Travail (ANSES), Agence Nationale de la Recherche (ANR). The CGPS was supported by the Chief Physician Johan Boserup and Lise Boserup Fund, the Danish Medical Research Council, and Herlev and Gentofte Hospital. The CNIO-BCS was supported by the Instituto de Salud Carlos III, the Red Temática de Investigación Cooperativa en Cáncer and grants from the Asociación Española Contra el Cáncer and the Fondo de Investigación Sanitario (PI11/00923 and PI12/00070). COLBCCC is supported by the German Cancer Research Center (DKFZ), Heidelberg, Germany. D.T. was in part supported by a postdoctoral fellowship from the Alexander von Humboldt Foundation. The American Cancer Society funds the creation, maintenance, and updating of the CPS-II cohort. The CTS was initially supported by the California Breast Cancer Act of 1993 and the California Breast Cancer Research Fund (contract 97-10500) and is currently funded through the National Institutes of Health (R01 CA77398, UM1 CA164917, and U01 CA199277). Collection of cancer incidence data was supported by the California Department of Public Health as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885. H.A.C eceives support from the Lon V Smith Foundation (LVS39420). The University of Westminster curates the DietCompLyf database funded by Against Breast Cancer Registered Charity No. 1121258 and the NCRN. The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by: Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF) (Germany); the Hellenic Health Foundation, the Stavros Niarchos Foundation (Greece); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS), PI13/00061 to Granada, PI13/01162 to EPIC-Murcia, Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, ISCIII RETIC (RD06/0020) (Spain); Cancer Research UK (14136 to EPIC-Norfolk; C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (United Kingdom). The ESTHER study was supported by a grant from the Baden Württemberg Ministry of Science, Research and Arts. Additional cases were recruited in the context of the VERDI study, which was supported by a grant from the German Cancer Aid (Deutsche Krebshilfe). FHRISK is funded from NIHR grant PGfAR 0707-10031. The GC-HBOC (German Consortium of Hereditary Breast and Ovarian Cancer) is supported by the German Cancer Aid (grant no 110837, coordinator: Rita K. Schmutzler, Cologne). This work was also funded by the European Regional Development Fund and Free State of Saxony, Germany (LIFE - Leipzig Research Centre for Civilization Diseases, project numbers 713-241202, 713-241202, 14505/2470, and 14575/2470). The GENICA was funded by the Federal Ministry of Education and Research (BMBF) Germany grants 01KW9975/5, 01KW9976/8, 01KW9977/0, and 01KW0114, the Robert Bosch Foundation, Stuttgart, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, the Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, as well as the Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany. The GEPARSIXTO study was conducted by the German Breast Group GmbH. The GESBC was supported by the Deutsche Krebshilfe e. V. [70492] and the German Cancer Research Center (DKFZ). GLACIER was supported by Breast Cancer Now, CRUK and Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The HABCS study was supported by the Claudia von Schilling Foundation for Breast Cancer Research, by the Lower Saxonian Cancer Society, and by the Rudolf-Bartling Foundation. The HEBCS was financially supported by the Helsinki University Central Hospital Research Fund, Academy of Finland (266528), the Finnish Cancer Society, and the Sigrid Juselius Foundation. The HERPACC was supported by MEXT Kakenhi (No. 170150181 and 26253041) from the Ministry of Education, Science, Sports, Culture and Technology of Japan, by a Grant-in-Aid for the Third Term Comprehensive 10-Year Strategy for Cancer Control from Ministry Health, Labour and Welfare of Japan, by Health and Labour Sciences Research Grants for Research on Applying Health Technology from Ministry Health, Labour and Welfare of Japan, by National Cancer Center Research and Development Fund, and “Practical Research for Innovative Cancer Control (15ck0106177h0001)” from Japan Agency for Medical Research and development, AMED, and Cancer Bio Bank Aichi. The HMBCS was supported by a grant from the Friends of Hannover Medical School and by the Rudolf Bartling Foundation. The HUBCS was supported by a grant from the German Federal Ministry of Research and Education (RUS08/017), and by the Russian Foundation for Basic Research and the Federal Agency for Scientific Organizations for support the Bioresource collections and RFBR grants 14-04-97088, 17-29-06014, and 17-44-020498. ICICLE was supported by Breast Cancer Now, CRUK, and Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. Financial support for KARBAC was provided through the regional agreement on medical training and clinical research (A.L.F.) between Stockholm County Council and Karolinska Institutet, the Swedish Cancer Society, The Gustav V Jubilee foundation and Bert von Kantzows foundation. The KARMA study was supported by Märit and Hans Rausings Initiative Against Breast Cancer. The KBCP was financially supported by the special Government Funding (E.V.O.) of Kuopio University Hospital grants, Cancer Fund of North Savo, the Finnish Cancer Organizations, and by the strategic funding of the University of Eastern Finland. kConFab is supported by a grant from the National Breast Cancer Foundation, and previously by the National Health and Medical Research Council (NHMRC), the Queensland Cancer Fund, the Cancer Councils of New South Wales, Victoria, Tasmania and South Australia, and the Cancer Foundation of Western Australia. Financial support for the AOCS was provided by the United States Army Medical Research and Materiel Command [DAMD17-01-1-0729], Cancer Council Victoria, Queensland Cancer Fund, Cancer Council New South Wales, Cancer Council South Australia, The Cancer Foundation of Western Australia, Cancer Council Tasmania and the National Health and Medical Research Council of Australia (NHMRC; 400413, 400281, 199600). G.C.-T. and P.W. are supported by the NHMRC. RB was a Cancer Institute NSW Clinical Research Fellow. The KOHBRA study was partially supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), and the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (HI16C1127; 1020350; 1420190). LAABC is supported by grants (1RB-0287, 3PB-0102, 5PB-0018, 10PB-0098) from the California Breast Cancer Research Program. Incident breast cancer cases were collected by the USC Cancer Surveillance Program (CSP) which is supported under subcontract by the California Department of Health. The CSP is also part of the National Cancer Institute’s Division of Cancer Prevention and Control Surveillance, Epidemiology, and End Results Program, under contract number N01CN25403. L.M.B.C. is supported by the ‘Stichting tegen Kanker’. D.L. is supported by the FWO. The MABCS study is funded by the Research Centre for Genetic Engineering and Biotechnology “Georgi D. Efremov” and supported by the German Academic Exchange Program, DAAD. The MARIE study was supported by the Deutsche Krebshilfe e.V. [70-2892-BR I, 106332, 108253, 108419, 110826, 110828], the Hamburg Cancer Society, the German Cancer Research Center (DKFZ) and the Federal Ministry of Education and Research (BMBF) Germany [01KH0402]. MBCSG is supported by grants from the Italian Association for Cancer Research (AIRC) and by funds from the Italian citizens who allocated the 5/1000 share of their tax payment in support of the Fondazione IRCCS Istituto Nazionale Tumori, according to Italian laws (INT-Institutional strategic projects “5 × 1000”). The MCBCS was supported by the NIH grants CA192393, CA116167, CA176785 an NIH Specialized Program of Research Excellence (SPORE) in Breast Cancer [CA116201], and the Breast Cancer Research Foundation and a generous gift from the David F. and Margaret T. Grohne Family Foundation. MCCS cohort recruitment was funded by VicHealth and Cancer Council Victoria. The MCCS was further supported by Australian NHMRC grants 209057 and 396414, and by infrastructure provided by Cancer Council Victoria. Cases and their vital status were ascertained through the Victorian Cancer Registry (VCR) and the Australian Institute of Health and Welfare (AIHW), including the National Death Index and the Australian Cancer Database. The MEC was support by NIH grants CA63464, CA54281, CA098758, CA132839, and CA164973. The MISS study is supported by funding from ERC-2011-294576 Advanced grant, Swedish Cancer Society, Swedish Research Council, Local hospital funds, Berta Kamprad Foundation, Gunnar Nilsson. The MMHS study was supported by NIH grants CA97396, CA128931, CA116201, CA140286, and CA177150. MSKCC is supported by grants from the Breast Cancer Research Foundation and Robert and Kate Niehaus Clinical Cancer Genetics Initiative. The work of MTLGEBCS was supported by the Quebec Breast Cancer Foundation, the Canadian Institutes of Health Research for the “CIHR Team in Familial Risks of Breast Cancer” program – grant # CRN-87521 and the Ministry of Economic Development, Innovation and Export Trade – grant # PSR-SIIRI-701. MYBRCA is funded by research grants from the Malaysian Ministry of Higher Education (UM.C/HlR/MOHE/06) and Cancer Research Malaysia. MYMAMMO is supported by research grants from Yayasan Sime Darby LPGA Tournament and Malaysian Ministry of Higher Education (RP046B-15HTM). The NBCS has been supported by the Research Council of Norway grant 193387/V50 (to A.-L. Børresen-Dale and V.N. Kristensen) and grant 193387/H10 (to A.-L. Børresen-Dale and V.N. Kristensen), South Eastern Norway Health Authority (grant 39346 to A.-L. Børresen-Dale and 27208 to V.N. Kristensen) and the Norwegian Cancer Society (to A.-L. Børresen-Dale and 419616 - 71248 - PR-2006-0282 to V.N. Kristensen). It has received funding from the K.G. Jebsen Centre for Breast Cancer Research (2012-2015). The NBHS was supported by NIH grant R01CA100374. Biological sample preparation was conducted the Survey and Biospecimen Shared Resource, which is supported by P30 CA68485. The Northern California Breast Cancer Family Registry (NC-BCFR) and Ontario Familial Breast Cancer Registry (OFBCR) were supported by grant UM1 CA164920 from the National Cancer Institute (USA). The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centers in the Breast Cancer Family Registry (BCFR), nor does mention of trade names, commercial products, or organizations imply endorsement by the USA Government or the BCFR. The Carolina Breast Cancer Study was funded by Komen Foundation, the National Cancer Institute (P50 CA058223, U54 CA156733, and U01 CA179715), and the North Carolina University Cancer Research Fund. The NGOBCS was supported by Grants-in-Aid for the Third Term Comprehensive Ten-Year Strategy for Cancer Control from the Ministry of Health, Labor and Welfare of Japan, and for Scientific Research on Priority Areas, 17015049 and for Scientific Research on Innovative Areas, 221S0001, from the Ministry of Education, Culture, Sports, Science, and Technology of Japan. The NHS was supported by NIH grants P01 CA87969, UM1 CA186107, and U19 CA148065. The NHS2 was supported by NIH grants UM1 CA176726 and U19 CA148065. The OBCS was supported by research grants from the Finnish Cancer Foundation, the Academy of Finland (grant number 250083, 122715 and Center of Excellence grant number 251314), the Finnish Cancer Foundation, the Sigrid Juselius Foundation, the University of Oulu, the University of Oulu Support Foundation, and the special Governmental EVO funds for Oulu University Hospital-based research activities. The ORIGO study was supported by the Dutch Cancer Society (RUL 1997-1505) and the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL CP16). The PBCS was funded by Intramural Research Funds of the National Cancer Institute, Department of Health and Human Services, USA. Genotyping for PLCO was supported by the Intramural Research Program of the National Institutes of Health, NCI, Division of Cancer Epidemiology and Genetics. The PLCO is supported by the Intramural Research Program of the Division of Cancer Epidemiology and Genetics and supported by contracts from the Division of Cancer Prevention, National Cancer Institute, National Institutes of Health. The POSH study is funded by Cancer Research UK (grants C1275/A11699, C1275/C22524, C1275/A19187, C1275/A15956, and Breast Cancer Campaign 2010PR62, 2013PR044. PROCAS is funded from NIHR grant PGfAR 0707-10031. The RBCS was funded by the Dutch Cancer Society (DDHK 2004-3124, DDHK 2009-4318). The SASBAC study was supported by funding from the Agency for Science, Technology and Research of Singapore (A*STAR), the US National Institute of Health (NIH) and the Susan G. Komen Breast Cancer Foundation. The SBCGS was supported primarily by NIH grants R01CA64277, R01CA148667, UMCA182910, and R37CA70867. Biological sample preparation was conducted the Survey and Biospecimen Shared Resource, which is supported by P30 CA68485. The scientific development and funding of this project were, in part, supported by the Genetic Associations and Mechanisms in Oncology (GAME-ON) Network U19 CA148065. The SBCS was supported by Sheffield Experimental Cancer Medicine Centre and Breast Cancer Now Tissue Bank. The SCCS is supported by a grant from the National Institutes of Health (R01 CA092447). Data on SCCS cancer cases used in this publication were provided by the Alabama Statewide Cancer Registry; Kentucky Cancer Registry, Lexington, KY; Tennessee Department of Health, Office of Cancer Surveillance; Florida Cancer Data System; North Carolina Central Cancer Registry, North Carolina Division of Public Health; Georgia Comprehensive Cancer Registry; Louisiana Tumor Registry; Mississippi Cancer Registry; South Carolina Central Cancer Registry; Virginia Department of Health, Virginia Cancer Registry; Arkansas Department of Health, Cancer Registry, 4815 W. Markham, Little Rock, AR 72205. The Arkansas Central Cancer Registry is fully funded by a grant from National Program of Cancer Registries, Centers for Disease Control and Prevention (CDC). Data on SCCS cancer cases from Mississippi were collected by the Mississippi Cancer Registry which participates in the National Program of Cancer Registries (NPCR) of the Centers for Disease Control and Prevention (CDC). The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the CDC or the Mississippi Cancer Registry. SEARCH is funded by Cancer Research UK [C490/A10124, C490/A16561] and supported by the UK National Institute for Health Research Biomedical Research Centre at the University of Cambridge. The University of Cambridge has received salary support for PDPP from the NHS in the East of England through the Clinical Academic Reserve. SEBCS was supported by the BRL (Basic Research Laboratory) program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (2012-0000347). SGBCC is funded by the NUS start-up Grant, National University Cancer Institute Singapore (NCIS) Centre Grant and the NMRC Clinician Scientist Award. Additional controls were recruited by the Singapore Consortium of Cohort Studies-Multi-ethnic cohort (SCCS-MEC), which was funded by the Biomedical Research Council, grant number: 05/1/21/19/425. The Sister Study (SISTER) is supported by the Intramural Research Program of the NIH, National Institute of Environmental Health Sciences (Z01-ES044005 and Z01-ES049033). The Two Sister Study (2SISTER) was supported by the Intramural Research Program of the NIH, National Institute of Environmental Health Sciences (Z01-ES044005 and Z01-ES102245), and, also by a grant from Susan G. Komen for the Cure, grant FAS0703856. SKKDKFZS is supported by the DKFZ. The SMC is funded by the Swedish Cancer Foundation. The SZBCS was supported by Grant PBZ_KBN_122/P05/2004. The TBCS was funded by The National Cancer Institute, Thailand. The TNBCC was supported by a Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201), a grant from the Breast Cancer Research Foundation, a generous gift from the David F. and Margaret T. Grohne Family Foundation. The TWBCS is supported by the Taiwan Biobank project of the Institute of Biomedical Sciences, Academia Sinica, Taiwan. The UCIBCS component of this research was supported by the NIH [CA58860, CA92044] and the Lon V Smith Foundation [LVS39420]. The UKBGS is funded by Breast Cancer Now and the Institute of Cancer Research (ICR), London. ICR acknowledges NHS funding to the NIHR Biomedical Research Centre. The UKOPS study was funded by The Eve Appeal (The Oak Foundation) and supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. The US3SS study was supported by Massachusetts (K.M.E., R01CA47305), Wisconsin (P.A.N., R01 CA47147) and New Hampshire (L.T.-E., R01CA69664) centers, and Intramural Research Funds of the National Cancer Institute, Department of Health and Human Services, USA. The USRT Study was funded by Intramural Research Funds of the National Cancer Institute, Department of Health and Human Services, USA. The WAABCS study was supported by grants from the National Cancer Institute of the National Institutes of Health (R01 CA89085 and P50 CA125183 and the D43 TW009112 grant), Susan G. Komen (SAC110026), the Dr. Ralph and Marian Falk Medical Research Trust, and the Avon Foundation for Women. The WHI program is funded by the National Heart, Lung, and Blood Institute, the US National Institutes of Health and the US Department of Health and Human Services (HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C). This work was also funded by NCI U19 CA148065-01. D.G.E. is supported by the all Manchester NIHR Biomedical research center Manchester (IS-BRC-1215-20007). HUNBOCS, Hungarian Breast and Ovarian Cancer Study was supported by Hungarian Research Grant KTIA-OTKA CK-80745, NKFI_OTKA K-112228. C.I. received support from the Nontherapeutic Subject Registry Shared Resource at Georgetown University (NIH/NCI P30-CA-51008) and the Jess and Mildred Fisher Center for Hereditary Cancer and Clinical Genomics Research. K.M. is supported by CRUK C18281/A19169. City of Hope Clinical Cancer Community Research Network and the Hereditary Cancer Research Registry, supported in part by Award Number RC4CA153828 (PI: J Weitzel) from the National Cancer Institute and the office of the Directory, National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The colorectal cancer genome-wide association analyses: Colorectal Transdisciplinary Study (CORECT): The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centers in the CORECT Consortium, nor does mention of trade names, commercial products or organizations imply endorsement by the US Government or the CORECT Consortium. We are incredibly grateful for the contributions of Dr. Brian Henderson and Dr. Roger Green over the course of this study and acknowledge them in memoriam. We are also grateful for support from Daniel and Maryann Fong. ColoCare: we thank the many investigators and staff who made this research possible in ColoCare Seattle and ColoCare Heidelberg. ColoCare was initiated and developed at the Fred Hutchinson Cancer Research Center by Drs. Ulrich and Grady. CCFR: the Colon CFR graciously thanks the generous contributions of their study participants, dedication of study staff, and financial support from the U.S. National Cancer Institute, without which this important registry would not exist. Galeon: GALEON wishes to thank the Department of Surgery of University Hospital of Santiago (CHUS), Sara Miranda Ponte, Carmen M Redondo, and the staff of the Department of Pathology and Biobank of CHUS, Instituto de Investigación Sanitaria de Santiago (IDIS), Instituto de Investigación Sanitaria Galicia Sur (IISGS), SERGAS, Vigo, Spain, and Programa Grupos Emergentes, Cancer Genetics Unit, CHUVI Vigo Hospital, Instituto de Salud Carlos III, Spain. MCCS: this study was made possible by the contribution of many people, including the original investigators and the diligent team who recruited participants and continue to work on follow-up. We would also like to express our gratitude to the many thousands of Melbourne residents who took part in the study and provided blood samples. SEARCH: We acknowledge the contributions of Mitul Shah, Val Rhenius, Sue Irvine, Craig Luccarini, Patricia Harrington, Don Conroy, Rebecca Mayes, and Caroline Baynes. The Swedish low-risk colorectal cancer study: we thank Berith Wejderot and the Swedish low-risk colorectal cancer study group. Genetics & Epidemiology of Colorectal Cancer Consortium (GECCO): we thank all those at the GECCO Coordinating Center for helping bring together the data and people that made this project possible. ASTERISK: we are very grateful to Dr. Bruno Buecher without whom this project would not have existed. We also thank all those who agreed to participate in this study, including the patients and the healthy control persons, as well as all the physicians, technicians and students. DACHS: we thank all participants and cooperating clinicians, and Ute Handte-Daub, Renate Hettler-Jensen, Utz Benscheid, Muhabbet Celik, and Ursula Eilber for excellent technical assistance. HPFS, NHS and PHS: we acknowledge Patrice Soule and Hardeep Ranu of the Dana-Farber Harvard Cancer Center High-Throughput Polymorphism Core who assisted in the genotyping for NHS, HPFS, and PHS under the supervision of Dr. Immaculata Devivo and Dr. David Hunter, Qin (Carolyn) Guo, and Lixue Zhu who assisted in programming for NHS and HPFS and Haiyan Zhang who assisted in programming for the PHS. We thank the participants and staff of the Nurses’ Health Study and the Health Professionals Follow-Up Study, for their valuable contributions as well as the following state cancer registries for their help: A.L., A.Z., A.R., C.A., C.O., C.T., D.E., F.L., G.A., I.D., I.L., I.N., I.A., K.Y., L.A., M.E., M.D., M.A., M.I., N.E., N.H., N.J., N.Y., N.C., N.D., O.H., O.K., O.R., P.A., R.I., S.C., T.N., T.X., V.A., W.A., W.Y. In addition, this study was approved by the Connecticut Department of Public Health (DPH) Human Investigations Committee. Certain data used in this publication were obtained from the DPH. We assume full responsibility for analyses and interpretation of these data. PLCO: we thank Drs. Christine Berg and Philip Prorok, Division of Cancer Prevention, National Cancer Institute, the Screening Center investigators and staff or the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial, Mr. Tom Riley and staff, Information Management Services Inc., Ms. Barbara O’Brien and staff, Westat Inc. and Drs. Bill Kopp, Wen Shao and staff, SAIC-Frederick. Most importantly, we acknowledge the study participants for their contributions for making this study possible. The statements contained herein are solely those of the authors and do not represent or imply concurrence or endorsement by NCI. PMH: we thank the study participants and staff of the Hormones and Colon Cancer study. WHI: we thank the WHI investigators and staff for their dedication, and the study participants for making the program possible. A full listing of WHI investigators can be found at https://cleo.whi.org/researchers/Documents%20%20Write%20a%20Paper/WHI%20Investigator%20Short20List.pdf. CORECT: The CORECT Study was supported by the National Cancer Institute, National Institutes of Health (NCI/NIH), U.S. Department of Health and Human Services (grant numbers U19 CA148107, R01 CA81488, P30 CA014089, R01 CA197350; P01 CA196569; and R01 CA201407) and National Institutes of Environmental Health Sciences, National Institutes of Health (grant number T32 ES013678). The ATBC Study was supported by the US Public Health Service contracts (N01-CN-45165, N01-RC-45035, N01-RC-37004, and HHSN261201000006C) from the National Cancer Institute. The Cancer Prevention Study-II Nutrition Cohort is funded by the American Cancer Society. ColoCare: This work was supported by the National Institutes of Health (grant numbers R01 CA189184, U01 CA206110, 2P30CA015704-40 (Gilliland)), the Matthias Lackas-Foundation, the German Consortium for Translational Cancer Research, and the EU TRANSCAN initiative. Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO): funding for GECCO was provided by the National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services (grant numbers U01 CA137088, R01 CA059045, and U01 CA164930). This research was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA015704. The Colon Cancer Family Registry (CFR) Illumina GWAS was supported by funding from the National Cancer Institute, National Institutes of Health (grant numbers U01 CA122839, R01 CA143247). The Colon CFR/CORECT Affymetrix Axiom GWAS and OncoArray GWAS were supported by funding from National Cancer Institute, National Institutes of Health (grant number U19 CA148107 to S.G.). The Colon CFR participant recruitment and collection of data and biospecimens used in this study were supported by the National Cancer Institute, National Institutes of Health (grant number UM1 CA167551) and through cooperative agreements with the following Colon CFR centers: Australasian Colorectal Cancer Family Registry (NCI/NIH grant numbers U01 CA074778 and U01/U24 CA097735), USC Consortium Colorectal Cancer Family Registry (NCI/NIH grant numbers U01/U24 CA074799), Mayo Clinic Cooperative Family Registry for Colon Cancer Studies (NCI/NIH grant number U01/U24 CA074800), Ontario Familial Colorectal Cancer Registry (NCI/NIH grant number U01/U24 CA074783), Seattle Colorectal Cancer Family Registry (NCI/NIH grant number U01/U24 CA074794), and University of Hawaii Colorectal Cancer Family Registry (NCI/NIH grant number U01/U24 CA074806), Additional support for case ascertainment was provided from the Surveillance, Epidemiology and End Results (SEER) Program of the National Cancer Institute to Fred Hutchinson Cancer Research Center (Control Nos. N01-CN-67009 and N01-PC-35142, and Contract No. HHSN2612013000121), the Hawai’i Department of Health (Control Nos. N01-PC-67001 and N01-PC-35137, and Contract No. HHSN26120100037C, and the California Department of Public Health (contracts HHSN261201000035C awarded to the University of Southern California, and the following state cancer registries: A.Z., C.O., M.N., N.C., N.H., and by the Victoria Cancer Registry and Ontario Cancer Registry. ESTHER/VERDI was supported by grants from the Baden–Württemberg Ministry of Science, Research and Arts and the German Cancer Aid. MCCS cohort recruitment was funded by VicHealth and Cancer Council Victoria. GALEON: FIS Intrasalud (PI13/01136). The MCCS was further supported by Australian NHMRC grants 509348, 209057, 251553, and 504711 and by infrastructure provided by Cancer Council Victoria. Cases and their vital status were ascertained through the Victorian Cancer Registry (VCR) and the Australian Institute of Health and Welfare (AIHW), including the National Death Index and the Australian Cancer Database. MSKCC: the work at Sloan Kettering in New York was supported by the Robert and Kate Niehaus Center for Inherited Cancer Genomics and the Romeo Milio Foundation. Moffitt: This work was supported by funding from the National Institutes of Health (grant numbers R01 CA189184, P30 CA076292), Florida Department of Health Bankhead-Coley Grant 09BN-13, and the University of South Florida Oehler Foundation. Moffitt contributions were supported in part by the Total Cancer Care Initiative, Collaborative Data Services Core, and Tissue Core at the H. Lee Moffitt Cancer Center & Research Institute, a National Cancer Institute-designated Comprehensive Cancer Center (grant number P30 CA076292). SEARCH: Cancer Research UK (C490/A16561). The Spanish study was supported by Instituto de Salud Carlos III, co-funded by FEDER funds –a way to build Europe– (grants PI14-613 and PI09-1286), Catalan Government DURSI (grant 2014SGR647), and Junta de Castilla y León (grant LE22A10-2). The Swedish Low-risk Colorectal Cancer Study: the study was supported by grants from the Swedish research council; K2015-55 × -22674-01-4, K2008-55 × -20157-03-3, K2006-72 × -20157-01-2 and the Stockholm County Council (ALF project). CIDR genotyping for the Oncoarray was conducted under contract 268201200008I (to K.D.), through grant 101HG007491-01 (to C.I.A.). The Norris Cotton Cancer Center - P30CA023108, The Quantitative Biology Research Institute - P20GM103534, and the Coordinating Center for Screen Detected Lesions - U01CA196386 also supported efforts of C.I.A. This work was also supported by the National Cancer Institute (grant numbers U01 CA1817700, R01 CA144040). ASTERISK: a Hospital Clinical Research Program (PHRC) and supported by the Regional Council of Pays de la Loire, the Groupement des Entreprises Françaises dans la Lutte contre le Cancer (GEFLUC), the Association Anne de Bretagne Génétique and the Ligue Régionale Contre le Cancer (LRCC). COLO2&3: National Institutes of Health (grant number R01 CA060987). DACHS: This work was supported by the German Research Council (BR 1704/6-1, BR 1704/6-3, BR 1704/6-4, CH 117/1-1, HO 5117/2-1, HE 5998/2-1, KL 2354/3-1, RO 2270/8-1, and BR 1704/17-1), the Interdisciplinary Research Program of the National Center for Tumor Diseases (NCT), Germany, and the German Federal Ministry of Education and Research (01KH0404, 01ER0814, 01ER0815, 01ER1505A, and 01ER1505B). DALS: National Institutes of Health (grant number R01 CA048998 to M.L.S). HPFS is supported by National Institutes of Health (grant numbers P01 CA055075, UM1 CA167552, R01 137178, and P50 CA127003), NHS by the National Institutes of Health (grant numbers UM1 CA186107, R01 CA137178, P01 CA087969, and P50 CA127003), NHSII by the National Institutes of Health (grant numbers R01 050385CA and UM1 CA176726), and PHS by the National Institutes of Health (grant number R01 CA042182). MEC: National Institutes of Health (grant numbers R37 CA054281, P01 CA033619, and R01 CA063464). OFCCR: National Institutes of Health, through funding allocated to the Ontario Registry for Studies of Familial Colorectal Cancer (grant number U01 CA074783); see Colon CFR section above. As subset of ARCTIC, OFCCR is supported by a GL2 grant from the Ontario Research Fund, the Canadian Institutes of Health Research, and the Cancer Risk Evaluation (CaRE) Program grant from the Canadian Cancer Society Research Institute. T.J.H. and B.W.Z. are recipients of Senior Investigator Awards from the Ontario Institute for Cancer Research, through generous support from the Ontario Ministry of Research and Innovation. PLCO: Intramural Research Program of the Division of Cancer Epidemiology and Genetics and supported by contracts from the Division of Cancer Prevention, National Cancer Institute, NIH, DHHS. Additionally, a subset of control samples was genotyped as part of the Cancer Genetic Markers of Susceptibility (CGEMS) Prostate Cancer GWAS, Colon CGEMS pancreatic cancer scan (PanScan), and the Lung Cancer and Smoking study. The prostate and PanScan study datasets were accessed with appropriate approval through the dbGaP online resource (http://cgems.cancer.gov/data/) accession numbers phs000207.v1.p1 and phs000206.v3.p2, respectively, and the lung datasets were accessed from the dbGaP website (http://www.ncbi.nlm.nih.gov/gap) through accession number phs000093.v2.p2. Funding for the Lung Cancer and Smoking study was provided by National Institutes of Health (NIH), Genes, Environment and Health Initiative (GEI) Z01 CP 010200, NIH U01 HG004446, and NIH GEI U01 HG 004438. For the lung study, the GENEVA Coordinating Center provided assistance with genotype cleaning and general study coordination, 23 and the Johns Hopkins University Center for Inherited Disease Research conducted genotyping. PMH: National Institutes of Health (grant number R01 CA076366). VITAL: National Institutes of Health (grant number K05-CA154337). WHI: The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services through contracts HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, and HHSN268201600004C. The head and neck cancer genome-wide association analyses: The study was supported by NIH/NCI: P50 CA097190, and P30 CA047904, Canadian Cancer Society Research Institute (no. 020214) and Cancer Care Ontario Research Chair to R.H. The Princess Margaret Hospital Head and Neck Cancer Translational Research Program is funded by the Wharton family, Joe’s Team, Gordon Tozer, Bruce Galloway and the Elia family. Geoffrey Liu was supported by the Posluns Family Fund and the Lusi Wong Family Fund at the Princess Margaret Foundation, and the Alan B. Brown Chair in Molecular Genomics. This publication presents data from Head and Neck 5000 (H&N5000). H&N5000 was a component of independent research funded by the UK National Institute for Health Research (NIHR) under its Programme Grants for Applied Research scheme (RP-PG-0707-10034). The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. Human papillomavirus (HPV) in H&N5000 serology was supported by a Cancer Research UK Programme Grant, the Integrative Cancer Epidemiology Programme (grant number: C18281/A19169). National Cancer Institute (R01-CA90731); National Institute of Environmental Health Sciences (P30ES10126). The authors thank all the members of the GENCAPO team/The Head and Neck Genome Project (GENCAPO) was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) (Grant numbers 04/12054-9 and 10/51168-0). CPS-II recruitment and maintenance is supported with intramural research funding from the American Cancer Society. Genotyping performed at the Center for Inherited Disease Research (CIDR) was funded through the U.S. National Institute of Dental and Craniofacial Research (NIDCR) grant 1 × 01HG007780-0. The University of Pittsburgh head and neck cancer case-control study is supported by National Institutes of Health grants P50 CA097190 and P30 CA047904. The Carolina Head and Neck Cancer Study (CHANCE) was supported by the National Cancer Institute (R01-CA90731). The Head and Neck Genome Project (GENCAPO) was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) (Grant numbers 04/12054-9 and 10/51168-0). The authors thank all the members of the GENCAPO team. The HN5000 study was funded by the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research scheme (RP-PG-0707-10034), the views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. The Toronto study was funded by the Canadian Cancer Society Research Institute (020214) and the National Cancer Institute (U19-CA148127) and the Cancer Care Ontario Research Chair. The alcohol-related cancers and genetic susceptibility study in Europe (ARCAGE) was funded by the European Commission’s 5th Framework Program (QLK1-2001-00182), the Italian Association for Cancer Research, Compagnia di San Paolo/FIRMS, Region Piemonte, and Padova University (CPDA057222). The Rome Study was supported by the Associazione Italiana per la Ricerca sul Cancro (AIRC) IG 2011 10491 and IG2013 14220 to S.B., and Fondazione Veronesi to S.B. The IARC Latin American study was funded by the European Commission INCO-DC programme (IC18-CT97-0222), with additional funding from Fondo para la Investigacion Cientifica y Tecnologica (Argentina) and the Fundação de Amparo à Pesquisa do Estado de São Paulo (01/01768-2). We thank Leticia Fernandez, Instituto Nacional de Oncologia y Radiobiologia, La Habana, Cuba and Sergio and Rosalina Koifman, for their efforts with the IARC Latin America study São Paulo center. The IARC Central Europe study was supported by European Commission’s INCO-COPERNICUS Program (IC15- CT98-0332), NIH/National Cancer Institute grant CA92039, and the World Cancer Research Foundation grant WCRF 99A28. The IARC Oral Cancer Multicenter study was funded by grant S06 96 202489 05F02 from Europe against Cancer; grants FIS 97/0024, FIS 97/0662, and BAE 01/5013 from Fondo de Investigaciones Sanitarias, Spain; the UICC Yamagiwa-Yoshida Memorial International Cancer Study; the National Cancer Institute of Canada; Associazione Italiana per la Ricerca sul Cancro; and the Pan-American Health Organization. Coordination of the EPIC study is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The lung cancer genome-wide association analyses: Transdisciplinary Research for Cancer in Lung (TRICL) of the International Lung Cancer Consortium (ILCCO) was supported by (U19-CA148127, CA148127S1, U19CA203654, and Cancer Prevention Research Institute of Texas RR170048). The ILCCO data harmonization is supported by Cancer Care Ontario Research Chair of Population Studies to R. H. and Lunenfeld-Tanenbaum Research Institute, Sinai Health System. The TRICL-ILCCO OncoArray was supported by in-kind genotyping by the Centre for Inherited Disease Research (26820120008i-0-26800068-1). The CAPUA study was supported by FIS-FEDER/Spain grant numbers FIS-01/310, FIS-PI03-0365, and FIS-07-BI060604, FICYT/Asturias grant numbers FICYT PB02-67 and FICYT IB09-133, and the University Institute of Oncology (IUOPA), of the University of Oviedo and the Ciber de Epidemiologia y Salud Pública. CIBERESP, SPAIN. The work performed in the CARET study was supported by the National Institute of Health/National Cancer Institute: UM1 CA167462 (PI: Goodman), National Institute of Health UO1-CA6367307 (PIs Omen, Goodman); National Institute of Health R01 CA111703 (PI Chen), National Institute of Health 5R01 CA151989-01A1(PI Doherty). The Liverpool Lung project is supported by the Roy Castle Lung Cancer Foundation. The Harvard Lung Cancer Study was supported by the NIH (National Cancer Institute) grants CA092824, CA090578, CA074386. The Multi-ethnic Cohort Study was partially supported by NIH Grants CA164973, CA033619, CA63464, and CA148127. The work performed in MSH-PMH study was supported by The Canadian Cancer Society Research Institute (020214), Ontario Institute of Cancer and Cancer Care Ontario Chair Award to R.J.H. and G.L. and the Alan Brown Chair and Lusi Wong Programs at the Princess Margaret Hospital Foundation. NJLCS was funded by the State Key Program of National Natural Science of China (81230067), the National Key Basic Research Program Grant (2011CB503805), the Major Program of the National Natural Science Foundation of China (81390543). The Norway study was supported by Norwegian Cancer Society, Norwegian Research Council. The Shanghai Cohort Study (SCS) was supported by National Institutes of Health R01 CA144034 (PI: Yuan) and UM1 CA182876 (PI: Yuan). The Singapore Chinese Health Study (SCHS) was supported by National Institutes of Health R01 CA144034 (PI: Yuan) and UM1 CA182876 (PI: Yuan). The work in TLC study has been supported in part the James & Esther King Biomedical Research Program (09KN-15), National Institutes of Health Specialized Programs of Research Excellence (SPORE) Grant (P50 CA119997), and by a Cancer Center Support Grant (CCSG) at the H. Lee Moffitt Cancer Center and Research Institute, an NCI designated Comprehensive Cancer Center (grant number P30-CA76292). The Vanderbilt Lung Cancer Study—BioVU dataset used for the analyses described was obtained from Vanderbilt University Medical Center’s BioVU, which is supported by institutional funding, the 1S10RR025141-01 instrumentation award, and by the Vanderbilt CTSA grant UL1TR000445 from NCATS/NIH. Dr. Aldrich was supported by NIH/National Cancer Institute K07CA172294 (PI: Aldrich) and Dr. Bush was supported by NHGRI/NIH U01HG004798 (PI: Crawford). The Copenhagen General Population Study (CGPS) was supported by the Chief Physician Johan Boserup and Lise Boserup Fund, the Danish Medical Research Council and Herlev Hospital. The NELCS study: Grant Number P20RR018787 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH). The Kentucky Lung Cancer Research Initiative was supported by the Department of Defense [Congressionally Directed Medical Research Program, U.S. Army Medical Research and Materiel Command Program] under award number: 10153006 (W81XWH-11-1-0781). Views and opinions of, and endorsements by the author(s) do not reflect those of the US Army or the Department of Defense. This research was also supported by unrestricted infrastructure funds from the UK Center for Clinical and Translational Science, NIH grant UL1TR000117 and Markey Cancer Center NCI Cancer Center Support Grant (P30 CA177558) Shared Resource Facilities: Cancer Research Informatics, Biospecimen and Tissue Procurement, and Biostatistics and Bioinformatics. The M.D. Anderson Cancer Center study was supported in part by grants from the NIH (P50 CA070907, R01 CA176568) (to X.W.), Cancer Prevention & Research Institute of Texas (RP130502) (to X.W.), and The University of Texas MD Anderson Cancer Center institutional support for the Center for Translational and Public Health Genomics. The deCODE study of smoking and nicotine dependence was funded in part by a grant from NIDA (R01- DA017932). The study in Lodz center was partially funded by Nofer Institute of Occupational Medicine, under task NIOM 10.13: Predictors of mortality from non-small cell lung cancer—field study. Genetic sharing analysis was funded by NIH grant CA194393. The research undertaken by M.D.T., L.V.W., and M.S.A. was partly funded by the National Institute for Health Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. M.D.T. holds a Medical Research Council Senior Clinical Fellowship (G0902313). The work to assemble the FTND GWAS meta-analysis was supported by the National Institutes of Health (NIH), National Institute on Drug Abuse (NIDA) grant number R01 DA035825 (Principal Investigator [PI]: DBH). The study populations included COGEND (dbGaP phs000092.v1.p1 and phs000404.v1.p1), COPDGene (dbGaP phs000179.v3.p2), deCODE Genetics, EAGLE (dbGaP phs000093.vs.p2), and SAGE. dbGaP phs000092.v1.p1). See Hancock et al. Transl Psychiatry 2015 (PMCID: PMC4930126) for the full listing of funding sources and other acknowledgments. The Resource for the Study of Lung Cancer Epidemiology in North Trent (ReSoLuCENT)study was funded by the Sheffield Hospitals Charity, Sheffield Experimental Cancer Medicine Centre and Weston Park Hospital Cancer Charity. The ovarian cancer genome-wide association analysis: The Ovarian Cancer Association Consortium (OCAC) is supported by a grant from the Ovarian Cancer Research Fund thanks to donations by the family and friends of Kathryn Sladek Smith (PPD/RPCI.07). The scientific development and funding for this project were in part supported by the US National Cancer Institute GAME-ON Post-GWAS Initiative (U19-CA148112). This study made use of data generated by the Wellcome Trust Case Control consortium that was funded by the Wellcome Trust under award 076113. The results published here are in part based upon data generated by The Cancer Genome Atlas Pilot Project established by the National Cancer Institute and National Human Genome Research Institute (dbGap accession number phs000178.v8.p7). The OCAC OncoArray genotyping project was funded through grants from the U.S. National Institutes of Health (CA1X01HG007491-01 (C.I.A.), U19-CA148112 (T.A.S.), R01-CA149429 (C.M.P.), and R01-CA058598 (M.T.G.); Canadian Institutes of Health Research (MOP-86727 (L.E.K.) and the Ovarian Cancer Research Fund (A.B.). The COGS project was funded through a European Commission’s Seventh Framework Programme grant (agreement number 223175 - HEALTH-F2-2009-223175) and through a grant from the U.S. National Institutes of Health (R01-CA122443 (E.L.G)). Funding for individual studies: AAS: National Institutes of Health (RO1-CA142081); AOV: The Canadian Institutes for Health Research (MOP-86727); AUS: The Australian Ovarian Cancer Study Group was supported by the U.S. Army Medical Research and Materiel Command (DAMD17-01-1-0729), National Health & Medical Research Council of Australia (199600, 400413 and 400281), Cancer Councils of New South Wales, Victoria, Queensland, South Australia and Tasmania and Cancer Foundation of Western Australia (Multi-State Applications 191, 211, and 182). The Australian Ovarian Cancer Study gratefully acknowledges additional support from Ovarian Cancer Australia and the Peter MacCallum Foundation; BAV: ELAN Funds of the University of Erlangen-Nuremberg; BEL: National Kankerplan; BGS: Breast Cancer Now, Institute of Cancer Research; BVU: Vanderbilt CTSA grant from the National Institutes of Health (NIH)/National Center for Advancing Translational Sciences (NCATS) (ULTR000445); CAM: National Institutes of Health Research Cambridge Biomedical Research Centre and Cancer Research UK Cambridge Cancer Centre; CHA: Innovative Research Team in University (PCSIRT) in China (IRT1076); CNI: Instituto de Salud Carlos III (PI12/01319); Ministerio de Economía y Competitividad (SAF2012); COE: Department of Defense (W81XWH-11-2-0131); CON: National Institutes of Health (R01-CA063678, R01-CA074850; and R01-CA080742); DKE: Ovarian Cancer Research Fund; DOV: National Institutes of Health R01-CA112523 and R01-CA87538; EMC: Dutch Cancer Society (EMC 2014-6699); EPC: The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF) (Germany); the Hellenic Health Foundation (Greece); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); ERC-2009-AdG 232997 and Nordforsk, Nordic Centre of Excellence programme on Food, Nutrition and Health (Norway); Health Research Fund (FIS), PI13/00061 to Granada, PI13/01162 to EPIC-Murcia, Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, ISCIII RETIC (RD06/0020) (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (United Kingdom); GER: German Federal Ministry of Education and Research, Programme of Clinical Biomedical Research (01 GB 9401) and the German Cancer Research Center (DKFZ); GRC: This research has been co-financed by the European Union (European Social Fund—ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF)—Research Funding Program of the General Secretariat for Research & Technology: SYN11_10_19 NBCA. Investing in knowledge society through the European Social Fund; GRR: Roswell Park Cancer Institute Alliance Foundation, P30 CA016056; HAW: U.S. National Institutes of Health (R01-CA58598, N01-CN-55424, and N01-PC-67001); HJO: Intramural funding; Rudolf-Bartling Foundation; HMO: Intramural funding; Rudolf-Bartling Foundation; HOC: Helsinki University Research Fund; HOP: Department of Defense (DAMD17-02-1-0669) and NCI (K07-CA080668, R01-CA95023, P50-CA159981 MO1-RR000056 R01-CA126841); HUO: Intramural funding; Rudolf-Bartling Foundation; JGO: JSPS KAKENHI grant; JPN: Grant-in-Aid for the Third Term Comprehensive 10-Year Strategy for Cancer Control from the Ministry of Health, Labour and Welfare; KRA: This study (Ko-EVE) was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), and the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (HI16C1127; 0920010); LAX: American Cancer Society Early Detection Professorship (SIOP-06-258-01-COUN) and the National Center for Advancing Translational Sciences (NCATS), Grant UL1TR000124; LUN: ERC-2011-AdG 294576-risk factors cancer, Swedish Cancer Society, Swedish Research Council, Beta Kamprad Foundation; MAC: National Institutes of Health (R01-CA122443, P30-CA15083, P50-CA136393); Mayo Foundation; Minnesota Ovarian Cancer Alliance; Fred C. and Katherine B. Andersen Foundation; Fraternal Order of Eagles; MAL: Funding for this study was provided by research grant R01- CA61107 from the National Cancer Institute, Bethesda, MD, research grant 94 222 52 from the Danish Cancer Society, Copenhagen, Denmark; and the Mermaid I project; MAS: Malaysian Ministry of Higher Education (UM.C/HlR/MOHE/06) and Cancer Research Initiatives Foundation; MAY: National Institutes of Health (R01-CA122443, P30-CA15083, and P50-CA136393); Mayo Foundation; Minnesota Ovarian Cancer Alliance; Fred C. and Katherine B. Andersen Foundation; MCC: Cancer Council Victoria, National Health and Medical Research Council of Australia (NHMRC) grants number 209057, 251533, 396414, and 504715; MDA: DOD Ovarian Cancer Research Program (W81XWH-07-0449); MEC: NIH (CA54281, CA164973, CA63464); MOF: Moffitt Cancer Center, Merck Pharmaceuticals, the state of Florida, Hillsborough County, and the city of Tampa; NCO: National Institutes of Health (R01-CA76016) and the Department of Defense (DAMD17-02-1-0666); NEC: National Institutes of Health R01-CA54419 and P50-CA105009 and Department of Defense W81XWH-10-1-02802; NHS: UM1 CA186107, P01 CA87969, R01 CA49449, R01-CA67262, UM1 CA176726; NJO: National Cancer Institute (NIH-K07 CA095666, R01-CA83918, NIH-K22-CA138563, and P30-CA072720) and the Cancer Institute of New Jersey; If Sara Olson and/or Irene Orlow is a co-author, please add NCI CCSG award (P30-CA008748) to the funding sources; NOR: Helse Vest, The Norwegian Cancer Society, The Research Council of Norway; NTH: Radboud University Medical Centre; OPL: National Health and Medical Research Council (NHMRC) of Australia (APP1025142) and Brisbane Women’s Club; ORE: OHSU Foundation; OVA: This work was supported by Canadian Institutes of Health Research grant (MOP-86727) and by NIH/NCI 1 R01CA160669-01A1; PLC: Intramural Research Program of the National Cancer Institute; POC: Pomeranian Medical University; POL: Intramural Research Program of the National Cancer Institute; PVD: Canadian Cancer Society and Cancer Research Society GRePEC Program; RBH: National Health and Medical Research Council of Australia; RMH: Cancer Research UK, Royal Marsden Hospital; RPC: National Institute of Health (P50-CA159981, R01-CA126841); SEA: Cancer Research UK (C490/A10119 C490/A10124); UK National Institute for Health Research Biomedical Research Centres at the University of Cambridge; SIS: NIH, National Institute of Environmental Health Sciences, Z01-ES044005 and Z01-ES049033; SMC: The bbSwedish Research Council-SIMPLER infrastructure; the Swedish Cancer Foundation; SON: National Health Research and Development Program, Health Canada, grant 6613-1415-53; SRO: Cancer Research UK (C536/A13086, C536/A6689) and Imperial Experimental Cancer Research Centre (C1312/A15589); STA: NIH grants U01 CA71966 and U01 CA69417; SWE: Swedish Cancer foundation, WeCanCureCancer and VårKampMotCancer foundation; SWH: NIH (NCI) grant R37-CA070867; TBO: National Institutes of Health (R01-CA106414-A2), American Cancer Society (CRTG-00-196-01-CCE), Department of Defense (DAMD17-98-1-8659), Celma Mastery Ovarian Cancer Foundation; TOR: NIH grants R01-CA063678 and R01 CA063682; UCI: NIH R01-CA058860 and the Lon V Smith Foundation grant LVS39420; UHN: Princess Margaret Cancer Centre Foundation-Bridge for the Cure; UKO: The UKOPS study was funded by The Eve Appeal (The Oak Foundation) and supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre; UKR: Cancer Research UK (C490/A6187), UK National Institute for Health Research Biomedical Research Centres at the University of Cambridge; USC: P01CA17054, P30CA14089, R01CA61132, N01PC67010, R03CA113148, R03CA115195, N01CN025403, and California Cancer Research Program (00-01389V-20170, 2II0200); VAN: BC Cancer Foundation, VGH & UBC Hospital Foundation; VTL: NIH K05-CA154337; WMH: National Health and Medical Research Council of Australia, Enabling Grants ID 310670 & ID 628903. Cancer Institute NSW Grants 12/RIG/1-17 & 15/RIG/1-16; WOC: National Science Centren (N N301 5645 40). The Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland. The University of Cambridge has received salary support for PDPP from the NHS in the East of England through the Clinical Academia Reserve. The prostate cancer genome-wide association analyses: we pay tribute to Brian Henderson, who was a driving force behind the OncoArray project, for his vision and leadership, and who sadly passed away before seeing its fruition. We also thank the individuals who participated in these studies enabling this work. The ELLIPSE/PRACTICAL (http//:practical.icr.ac.uk) prostate cancer consortium and his collaborating partners were supported by multiple funding mechanisms enabling this current work. ELLIPSE/PRACTICAL Genotyping of the OncoArray was funded by the US National Institutes of Health (NIH) (U19 CA148537 for ELucidating Loci Involved in Prostate Cancer SuscEptibility (ELLIPSE) project and X01HG007492 to the Center for Inherited Disease Research (CIDR) under contract number HHSN268201200008I). Additional analytical support was provided by NIH NCI U01 CA188392 (F.R.S.). Funding for the iCOGS infrastructure came from the European Community’s Seventh Framework Programme under grant agreement n° 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A 10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692, and C8197/A16565), the National Institutes of Health (CA128978) and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065, and 1U19 CA148112; the GAME-ON initiative), the Department of Defense (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, Komen Foundation for the Cure, the Breast Cancer Research Foundation, and the Ovarian Cancer Research Fund. This work was supported by the Canadian Institutes of Health Research, European Commission’s Seventh Framework Programme grant agreement n° 223175 (HEALTH-F2-2009-223175), Cancer Research UK Grants C5047/A7357, C1287/A10118, C1287/A16563, C5047/A3354, C5047/A10692, C16913/A6135, C5047/A21332 and The National Institute of Health (NIH) Cancer Post-Cancer GWAS initiative grant: No. 1 U19 CA148537-01 (the GAME-ON initiative). We also thank the following for funding support: The Institute of Cancer Research and The Everyman Campaign, The Prostate Cancer Research Foundation, Prostate Research Campaign UK (now Prostate Action), The Orchid Cancer Appeal, The National Cancer Research Network UK, and The National Cancer Research Institute (NCRI) UK. We are grateful for support of NIHR funding to the NIHR Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. The Prostate Cancer Program of Cancer Council Victoria also acknowledge grant support from The National Health and Medical Research Council, Australia (126402, 209057, 251533, 396414, 450104, 504700, 504702, 504715, 623204, 940394, and 614296), VicHealth, Cancer Council Victoria, The Prostate Cancer Foundation of Australia, The Whitten Foundation, PricewaterhouseCoopers, and Tattersall’s. E.A.O., D.M.K., and E.M.K. acknowledge the Intramural Program of the National Human Genome Research Institute for their support. The BPC3 was supported by the U.S. National Institutes of Health, National Cancer Institute (cooperative agreements U01-CA98233 to D.J.H., U01-CA98710 to S.M.G., U01-CA98216 to E.R., and U01-CA98758 to B.E.H., and Intramural Research Program of NIH/National Cancer Institute, Division of Cancer Epidemiology and Genetics). CAPS GWAS study was supported by the Swedish Cancer Foundation (grant no 09-0677, 11-484, 12-823), the Cancer Risk Prediction Center (CRisP; www.crispcenter.org), a Linneus Centre (Contract ID 70867902) financed by the Swedish Research Council, Swedish Research Council (grant no K2010-70 × -20430-04-3, 2014-2269). The Hannover Prostate Cancer Study was supported by the Lower Saxonian Cancer Society. PEGASUS was supported by the Intramural Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health. RAPPER was supported by the NIHR Manchester Biomedical Research Center, Cancer Research UK (C147/A25254, C1094/A18504) and the EU’s 7th Framework Programme Grant/Agreement no 60186. Overall: this research has been conducted using the UK Biobank Resource (application number 16549). NHS is supported by UM1 CA186107 (NHS cohort infrastructure grant), P01 CA87969, and R01 CA49449. NHSII is supported by UM1 CA176726 (NHSII cohort infrastructure grant), and R01-CA67262. A.L.K. is supported by R01 MH107649. We would like to thank the participants and staff of the NHS and NHSII for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY. The authors assume full responsibility for analyses and interpretation of these data.
Published: 2019

21. Differences in tumor-associated T-cell receptor repertoires between early-onset and average-onset colorectal cancer.

Author: Tsai YY, Nair KG, Barot SV, Xiang S, Kamath S, Melas M, Walker CP, Srivastava RM, Osborne N, Chan TA, Mitchem JB, Bonner JD, McDonnell KJ, Idos GE, Sanz-Pamplona R, Greenson JK, Rennert HS, Rennert G, Moreno V, Gruber SB, Khorana AA, Liska D, and Schmit SL
Subjects: Humans, Female, Male, Middle Aged, Adult, Aged, Tumor Microenvironment immunology, Colorectal Neoplasms immunology, Colorectal Neoplasms pathology, Colorectal Neoplasms epidemiology, Receptors, Antigen, T-Cell genetics, Age of Onset
Abstract: The incidence of colorectal cancer (CRC) among individuals younger than age 50 (early-onset CRC [EOCRC]) has substantially increased, and yet the etiology and molecular mechanisms underlying this alarming rise remain unclear. We compared tumor-associated T-cell repertoires between EOCRC and average-onset CRC (AOCRC) to uncover potentially unique immune microenvironment-related features by age of onset. Our discovery cohort included 242 patients who underwent surgical resection at Cleveland Clinic from 2000 to 2020. EOCRC was defined as younger than age 50 years at diagnosis (N = 126) and AOCRC as 60 years of age or older (N = 116). T-cell receptor (TCR) abundance and clonality were measured by immunosequencing of tumors. Logistic regression models were used to evaluate the associations between TCR repertoire features and age of onset, adjusting for sex, race, tumor location, and stage. Findings were replicated in 152 EOCRC and 1984 AOCRC cases from the Molecular Epidemiology of Colorectal Cancer Study. EOCRC tumors had significantly higher TCR diversity compared with AOCRC tumors in the discovery cohort (odds ratio [OR] = 0.44, 95% confidence interval [CI] = 0.32 to 0.61, P < .0001). This association was also observed in the replication cohort (OR = 0.74, 95% CI = 0.62 to 0.89, P = .0013). No significant differences in TCR abundance were observed between EOCRC and AOCRC in either cohort. Higher TCR diversity, suggesting a more diverse intratumoral T-cell response, is more frequently observed in EOCRC than AOCRC. Further studies are warranted to investigate the role of T-cell diversity and the adaptive immune response more broadly in the etiology and outcomes of EOCRC., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Published: 2024
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22. Genetic Variation and Regulation of MICA Alters Natural Killer Cell-Mediated Immunosurveillance in Early-Onset Colorectal Cancer.

Author: McGee HM, Bonner JD, Egelston C, Fu Y, Flores OC, Lindsey S, Shaktah L, Moratalla-Navarro F, Kamal Y, Tsang K, Walker CP, Idos G, McDonnell KJ, Rennert H, Barry EL, Brenner H, Buchanan DD, Campbell PT, Chan AT, Chang-Claude J, Figueiredo JC, Gago-Dominguez M, Hoffmeister M, Hsu L, Huyghe JR, Jenkins MA, Le Marchand L, Lenz HJ, Li L, Lindblom A, Liu Ruby YR, Lynch BM, Newton CC, Offit K, Ogino S, Pamplona RS, Pellatt AJ, Pharoah PDP, Phipps A, Reynaga L, Templeton A, Um CY, Wolk A, Woods MO, Wu AH, Yun Y, Zheng W, Williams TM, Conti DV, Peters U, Lejbkowicz F, Greenson JK, Schmit SL, Gauderman WJ, Hamilton SR, Moreno V, Rennert G, and Gruber SB
Abstract: The incidence of colorectal cancer (CRC) among individuals under age 50, or early-onset CRC (EOCRC), has been rising over the past few decades for unclear reasons, and the etiology of the disease remains largely unknown. Known genetic risk factors do not explain this increase, pointing to possible environmental and as-yet unidentified genetic contributors and their interactions. Previous research linked genetic variation on chromosome 6 to increased CRC risk. This region harbors multiple immune genes, including the gene encoding Major Histocompatibility Complex (MHC) class I polypeptide-related sequence A (MICA). MICA is a polygenic ligand for the Natural Killer Group 2D receptor (NKG2D), a receptor expressed on Natural Killer (NK) cells and other lymphocytes. Given that intra-tumoral NK cell infiltration correlates with favorable CRC outcomes, we hypothesized that germline genetic variation in MICA could influence CRC risk. In a discovery set of 40,125 cases and controls, we show that the minor G allele at Chr6:31373718C>G (hg19) is associated with increased risk for CRC (odds ratio (OR) = 1.09, 95% confidence interval (CI) 1.04 - 1.15, p = 0.0009). The effect is stronger in EOCRC (OR = 1.26, 95% CI 1.08 - 1.44, p = 0.0023) than in those 50 and over (OR = 1.07, 95% CI 1.02 - 1.13; p = 0.012) (Ratio of ORs = 1.32, 95% CI 1.14 - 1.52, p = 0.0002). In an independent validation set of 77,983 cases and controls, the adjusted interaction by age-of-onset was significant at OR = 1.15 (95% CI 1.03 - 1.34, p = 0.0150) with a higher risk in EOCRC. Expression quantitative trait locus analysis in normal colonic epithelia showed that MICA RNA expression decreases linearly with each additional copy of the minor G allele (p = 3.345 × 10e-18). Bulk RNA analysis of the tumor immune microenvironment revealed that tumors from patients with CG or GG genotypes have lower resting and activated NK cell infiltration as compared to tumors from patients with CC genotype. Multiplex immunofluorescence analysis demonstrated that patients with a G allele (i.e. CG or GG genotype, but not CC genotype) have a statistically significant decrease in the number of NK cells in tumor compared to adjacent normal colonic mucosa. Taken together, population-based epidemiologic, molecular, genetic, cellular and immunologic evidence demonstrate that MICA genotype is associated with increased risk of EOCRC and reduced number of NK cells in colorectal tumors, suggesting that patients with a G allele have altered NK cell-mediated immunosurveillance. These novel findings suggest that EOCRC may have a previously unrecognized innate immune-mediated etiology which merits further investigation.
Published: 2024
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23. Multi-omics machine learning to study host-microbiome interactions in early-onset colorectal cancer.

Author: Jayakrishnan TT, Sangwan N, Barot SV, Farha N, Mariam A, Xiang S, Aucejo F, Conces M, Nair KG, Krishnamurthi SS, Schmit SL, Liska D, Rotroff DM, Khorana AA, and Kamath SD
Abstract: The incidence of early-onset colorectal cancer (eoCRC) is rising, and its pathogenesis is not completely understood. We hypothesized that machine learning utilizing paired tissue microbiome and plasma metabolome features could uncover distinct host-microbiome associations between eoCRC and average-onset CRC (aoCRC). Individuals with stages I-IV CRC (n = 64) were categorized as eoCRC (age ≤ 50, n = 20) or aoCRC (age ≥ 60, n = 44). Untargeted plasma metabolomics and 16S rRNA amplicon sequencing (microbiome analysis) of tumor tissue were performed. We fit DIABLO (Data Integration Analysis for Biomarker Discovery using Latent variable approaches for Omics studies) to construct a supervised machine-learning classifier using paired multi-omics (microbiome and metabolomics) data and identify associations unique to eoCRC. A differential association network analysis was also performed. Distinct clustering patterns emerged in multi-omic dimension reduction analysis. The metabolomics classifier achieved an AUC of 0.98, compared to AUC 0.61 for microbiome-based classifier. Circular correlation technique highlighted several key associations. Metabolites glycerol and pseudouridine (higher abundance in individuals with aoCRC) had negative correlations with Parasutterella, and Ruminococcaceae (higher abundance in individuals with eoCRC). Cholesterol and xylitol correlated negatively with Erysipelatoclostridium and Eubacterium, and showed a positive correlation with Acidovorax with higher abundance in individuals with eoCRC. Network analysis revealed different clustering patterns and associations for several metabolites e.g.: urea cycle metabolites and microbes such as Akkermansia. We show that multi-omics analysis can be utilized to study host-microbiome correlations in eoCRC and demonstrates promising biomarker potential of a metabolomics classifier. The distinct host-microbiome correlations for urea cycle in eoCRC may offer opportunities for therapeutic interventions., (© 2024. The Author(s).)
Published: 2024
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24. Identification of Priorities for Colorectal Cancer Screening Interventions Among US Hispanic/Latino Populations.

Author: Buchalter RB, Stern MC, Mendez JS, Kim MK, Rose J, Meade CD, Gwede CK, Figueiredo JC, and Schmit SL
Subjects: Humans, United States, Female, Male, Middle Aged, Aged, Socioeconomic Factors, Mass Screening statistics & numerical data, Colorectal Neoplasms diagnosis, Colorectal Neoplasms prevention & control, Colorectal Neoplasms ethnology, Hispanic or Latino statistics & numerical data, Early Detection of Cancer statistics & numerical data
Abstract: Objectives. To identify nationwide census tract‒level areas where improving colorectal cancer (CRC) screening uptake via targeted local preventive intervention may benefit Hispanic or Latino/a (H/L) groups defined by region or country of origin. Methods. Using 2021 Centers for Disease Control and Prevention PLACES and American Community Survey data, we applied geographically weighted regression and Getis-Ord Gi* hot spot procedures to identify CRC screening priority zones for H/L groups in the United States. Priority zones can be conceptualized as census tracts with strong inverse associations between percentage of a particular H/L group in the population and CRC screening rate, after adjusting for socioeconomic deprivation and lack of insurance. Results. We identified 6519, 3477, 3522, 1069, and 1424 census tract CRC screening priority zones for H/L communities of Mexican, Puerto Rican, Central/South American, Dominican, and Cuban heritage, respectively. Priority zones for H/L groups had strong spatial heterogeneity, and overlap of geographic patterns among H/L groups varied by region. Conclusions. Our findings and interactive web map may serve as a translational tool for public health authorities, policymakers, clinicians, and other stakeholders to target investment and interventions to increase guideline-concordant CRC screening uptake benefitting specific H/L communities in the United States. ( Am J Public Health . 2024;114(S6):S515-S524. https://doi.org/10.2105/AJPH.2024.307733) [Formula: see text].
Published: 2024
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25. Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancer.

Author: Papadimitriou N, Kim A, Kawaguchi ES, Morrison J, Diez-Obrero V, Albanes D, Berndt SI, Bézieau S, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Campbell PT, Carreras-Torres R, Chan AT, Chang-Claude J, Conti DV, Devall MA, Dimou N, Drew DA, Gruber SB, Harrison TA, Hoffmeister M, Huyghe JR, Joshi AD, Keku TO, Kundaje A, Küry S, Le Marchand L, Lewinger JP, Li L, Lynch BM, Moreno V, Newton CC, Obón-Santacana M, Ose J, Pellatt AJ, Peoples AR, Platz EA, Qu C, Rennert G, Ruiz-Narvaez E, Shcherbina A, Stern MC, Su YR, Thomas DC, Thomas CE, Tian Y, Tsilidis KK, Ulrich CM, Um CY, Visvanathan K, Wang J, White E, Woods MO, Schmit SL, Macrae F, Potter JD, Hopper JL, Peters U, Murphy N, Hsu L, Gunter MJ, and Gauderman WJ
Subjects: Humans, Genotype, Diet, Male, Female, Risk Factors, Fruit, Colorectal Neoplasms genetics, Colorectal Neoplasms etiology, Dietary Fiber administration & dosage, Vegetables, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Gene-Environment Interaction
Abstract: Background: Consumption of fibre, fruits and vegetables have been linked with lower colorectal cancer (CRC) risk. A genome-wide gene-environment (G × E) analysis was performed to test whether genetic variants modify these associations., Methods: A pooled sample of 45 studies including up to 69,734 participants (cases: 29,896; controls: 39,838) of European ancestry were included. To identify G × E interactions, we used the traditional 1--degree-of-freedom (DF) G × E test and to improve power a 2-step procedure and a 3DF joint test that investigates the association between a genetic variant and dietary exposure, CRC risk and G × E interaction simultaneously., Findings: The 3-DF joint test revealed two significant loci with p-value <5 × 10 -8 . Rs4730274 close to the SLC26A3 gene showed an association with fibre (p-value: 2.4 × 10 -3 ) and G × fibre interaction with CRC (OR per quartile of fibre increase = 0.87, 0.80, and 0.75 for CC, TC, and TT genotype, respectively; G × E p-value: 1.8 × 10 -7 ). Rs1620977 in the NEGR1 gene showed an association with fruit intake (p-value: 1.0 × 10 -8 ) and G × fruit interaction with CRC (OR per quartile of fruit increase = 0.75, 0.65, and 0.56 for AA, AG, and GG genotype, respectively; G × E -p-value: 0.029)., Interpretation: We identified 2 loci associated with fibre and fruit intake that also modify the association of these dietary factors with CRC risk. Potential mechanisms include chronic inflammatory intestinal disorders, and gut function. However, further studies are needed for mechanistic validation and replication of findings., Funding: National Institutes of Health, National Cancer Institute. Full funding details for the individual consortia are provided in acknowledgments., Competing Interests: Declaration of interests ESK is a co-investigator in a grant from National Institutes of Health (R01CA196569). JW is Stock shareholder of Gilead Sciences Inc. AK has received consulting fees for Illumina Inc., has participated on data safety monitoring boards or advisory boards of TensorBio, PatchBio, Serimmune, and OpenTargets, and has stock or stock options of Illumina, Freenome, Deep Genomics, Immunai, TensorBio, PatchBio, and Serimmune. MCS was a co-investigator in a grant from National Institutes of Health (R01CA201407). VM has received grant support from Instituto de Salud Carlos III and Fundacion Cientifica Asociación Española Contra el Cáncer. SBG is a co-founder of Brogent international LLC. JPL has received additional grant support (5P01CA196569, 6R01CA201407). The remaining authors declare that they have no conflicts of interest., (Copyright © 2024. Published by Elsevier B.V.)
Published: 2024
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26. Two genome-wide interaction loci modify the association of nonsteroidal anti-inflammatory drugs with colorectal cancer.

Author: Drew DA, Kim AE, Lin Y, Qu C, Morrison J, Lewinger JP, Kawaguchi E, Wang J, Fu Y, Zemlianskaia N, Díez-Obrero V, Bien SA, Dimou N, Albanes D, Baurley JW, Wu AH, Buchanan DD, Potter JD, Prentice RL, Harlid S, Arndt V, Barry EL, Berndt SI, Bouras E, Brenner H, Budiarto A, Burnett-Hartman A, Campbell PT, Carreras-Torres R, Casey G, Chang-Claude J, Conti DV, Devall MAM, Figueiredo JC, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kundaje A, Le Marchand L, Li L, Lynch BM, Murphy N, Nassir R, Newcomb PA, Newton CC, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Stern MC, Su YR, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, Um CY, van Duijnhoven FJB, Van Guelpen B, White E, Hsu L, Moreno V, Peters U, Chan AT, and Gauderman WJ
Subjects: Humans, Aspirin pharmacology, Receptors, Prostaglandin E, EP4 Subtype genetics, Receptors, Prostaglandin E, EP4 Subtype metabolism, Male, Genetic Predisposition to Disease, Female, Case-Control Studies, Middle Aged, Genetic Loci, Aged, Colorectal Neoplasms genetics, Colorectal Neoplasms drug therapy, Anti-Inflammatory Agents, Non-Steroidal pharmacology, Genome-Wide Association Study, Polymorphism, Single Nucleotide
Abstract: Regular, long-term aspirin use may act synergistically with genetic variants, particularly those in mechanistically relevant pathways, to confer a protective effect on colorectal cancer (CRC) risk. We leveraged pooled data from 52 clinical trial, cohort, and case-control studies that included 30,806 CRC cases and 41,861 controls of European ancestry to conduct a genome-wide interaction scan between regular aspirin/nonsteroidal anti-inflammatory drug (NSAID) use and imputed genetic variants. After adjusting for multiple comparisons, we identified statistically significant interactions between regular aspirin/NSAID use and variants in 6q24.1 (top hit rs72833769 ), which has evidence of influencing expression of TBC1D7 (a subunit of the TSC1-TSC2 complex, a key regulator of MTOR activity), and variants in 5p13.1 (top hit rs350047 ), which is associated with expression of PTGER4 (codes a cell surface receptor directly involved in the mode of action of aspirin). Genetic variants with functional impact may modulate the chemopreventive effect of regular aspirin use, and our study identifies putative previously unidentified targets for additional mechanistic interrogation.
Published: 2024
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27. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes.

Author: Chen Z, Guo X, Tao R, Huyghe JR, Law PJ, Fernandez-Rozadilla C, Ping J, Jia G, Long J, Li C, Shen Q, Xie Y, Timofeeva MN, Thomas M, Schmit SL, Díez-Obrero V, Devall M, Moratalla-Navarro F, Fernandez-Tajes J, Palles C, Sherwood K, Briggs SEW, Svinti V, Donnelly K, Farrington SM, Blackmur J, Vaughan-Shaw PG, Shu XO, Lu Y, Broderick P, Studd J, Harrison TA, Conti DV, Schumacher FR, Melas M, Rennert G, Obón-Santacana M, Martín-Sánchez V, Oh JH, Kim J, Jee SH, Jung KJ, Kweon SS, Shin MH, Shin A, Ahn YO, Kim DH, Oze I, Wen W, Matsuo K, Matsuda K, Tanikawa C, Ren Z, Gao YT, Jia WH, Hopper JL, Jenkins MA, Win AK, Pai RK, Figueiredo JC, Haile RW, Gallinger S, Woods MO, Newcomb PA, Duggan D, Cheadle JP, Kaplan R, Kerr R, Kerr D, Kirac I, Böhm J, Mecklin JP, Jousilahti P, Knekt P, Aaltonen LA, Rissanen H, Pukkala E, Eriksson JG, Cajuso T, Hänninen U, Kondelin J, Palin K, Tanskanen T, Renkonen-Sinisalo L, Männistö S, Albanes D, Weinstein SJ, Ruiz-Narvaez E, Palmer JR, Buchanan DD, Platz EA, Visvanathan K, Ulrich CM, Siegel E, Brezina S, Gsur A, Campbell PT, Chang-Claude J, Hoffmeister M, Brenner H, Slattery ML, Potter JD, Tsilidis KK, Schulze MB, Gunter MJ, Murphy N, Castells A, Castellví-Bel S, Moreira L, Arndt V, Shcherbina A, Bishop DT, Giles GG, Southey MC, Idos GE, McDonnell KJ, Abu-Ful Z, Greenson JK, Shulman K, Lejbkowicz F, Offit K, Su YR, Steinfelder R, Keku TO, van Guelpen B, Hudson TJ, Hampel H, Pearlman R, Berndt SI, Hayes RB, Martinez ME, Thomas SS, Pharoah PDP, Larsson SC, Yen Y, Lenz HJ, White E, Li L, Doheny KF, Pugh E, Shelford T, Chan AT, Cruz-Correa M, Lindblom A, Hunter DJ, Joshi AD, Schafmayer C, Scacheri PC, Kundaje A, Schoen RE, Hampe J, Stadler ZK, Vodicka P, Vodickova L, Vymetalkova V, Edlund CK, Gauderman WJ, Shibata D, Toland A, Markowitz S, Kim A, Chanock SJ, van Duijnhoven F, Feskens EJM, Sakoda LC, Gago-Dominguez M, Wolk A, Pardini B, FitzGerald LM, Lee SC, Ogino S, Bien SA, Kooperberg C, Li CI, Lin Y, Prentice R, Qu C, Bézieau S, Yamaji T, Sawada N, Iwasaki M, Le Marchand L, Wu AH, Qu C, McNeil CE, Coetzee G, Hayward C, Deary IJ, Harris SE, Theodoratou E, Reid S, Walker M, Ooi LY, Lau KS, Zhao H, Hsu L, Cai Q, Dunlop MG, Gruber SB, Houlston RS, Moreno V, Casey G, Peters U, Tomlinson I, and Zheng W
Subjects: Humans, Exome Sequencing, Case-Control Studies, Transcriptome, Chromosome Mapping, Male, Female, East Asian People, Colorectal Neoplasms genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Asian People genetics, White People genetics, Polymorphism, Single Nucleotide, Quantitative Trait Loci
Abstract: Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development., (© 2024. The Author(s).)
Published: 2024
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28. Germline genetic regulation of the colorectal tumor immune microenvironment.

Author: Schmit SL, Tsai YY, Bonner JD, Sanz-Pamplona R, Joshi AD, Ugai T, Lindsey SS, Melas M, McDonnell KJ, Idos GE, Walker CP, Qu C, Kast WM, Da Silva DM, Glickman JN, Chan AT, Giannakis M, Nowak JA, Rennert HS, Robins HS, Ogino S, Greenson JK, Moreno V, Rennert G, and Gruber SB
Subjects: Humans, Male, Female, Middle Aged, Quantitative Trait Loci, Aged, Lymphocytes, Tumor-Infiltrating immunology, Germ-Line Mutation, RNA-Binding Proteins genetics, Genotype, Germ Cells metabolism, Colorectal Neoplasms genetics, Colorectal Neoplasms immunology, Tumor Microenvironment genetics, Tumor Microenvironment immunology, Polymorphism, Single Nucleotide, Genome-Wide Association Study
Abstract: Objective: To evaluate the contribution of germline genetics to regulating the briskness and diversity of T cell responses in CRC, we conducted a genome-wide association study to examine the associations between germline genetic variation and quantitative measures of T cell landscapes in 2,876 colorectal tumors from participants in the Molecular Epidemiology of Colorectal Cancer Study (MECC)., Methods: Germline DNA samples were genotyped and imputed using genome-wide arrays. Tumor DNA samples were extracted from paraffin blocks, and T cell receptor clonality and abundance were quantified by immunoSEQ (Adaptive Biotechnologies, Seattle, WA). Tumor infiltrating lymphocytes per high powered field (TILs/hpf) were scored by a gastrointestinal pathologist. Regression models were used to evaluate the associations between each variant and the three T-cell features, adjusting for sex, age, genotyping platform, and global ancestry. Three independent datasets were used for replication., Results: We identified a SNP (rs4918567) near RBM20 associated with clonality at a genome-wide significant threshold of 5 × 10 - 8 , with a consistent direction of association in both discovery and replication datasets. Expression quantitative trait (eQTL) analyses and in silico functional annotation for these loci provided insights into potential functional roles, including a statistically significant eQTL between the T allele at rs4918567 and higher expression of ADRA2A (P = 0.012) in healthy colon mucosa., Conclusions: Our study suggests that germline genetic variation is associated with the quantity and diversity of adaptive immune responses in CRC. Further studies are warranted to replicate these findings in additional samples and to investigate functional genomic mechanisms., (© 2024. The Author(s).)
Published: 2024
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29. Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer.

Author: Peruchet-Noray L, Sedlmeier AM, Dimou N, Baurecht H, Fervers B, Fontvieille E, Konzok J, Tsilidis KK, Christakoudi S, Jansana A, Cordova R, Bohmann P, Stein MJ, Weber A, Bézieau S, Brenner H, Chan AT, Cheng I, Figueiredo JC, Garcia-Etxebarria K, Moreno V, Newton CC, Schmit SL, Song M, Ulrich CM, Ferrari P, Viallon V, Carreras-Torres R, Gunter MJ, and Freisling H
Subjects: Humans, Genome-Wide Association Study, Obesity genetics, Phenotype, Genetic Variation, Risk Factors, Somatotypes, Colorectal Neoplasms genetics
Abstract: It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC.
Published: 2024
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30. Identification of potential mediators of the relationship between body mass index and colorectal cancer: a Mendelian randomization analysis.

Author: Bouras E, Gill D, Zuber V, Murphy N, Dimou N, Aleksandrova K, Lewis SJ, Martin RM, Yarmolinsky J, Albanes D, Brenner H, Castellví-Bel S, Chan AT, Cheng I, Gruber S, Van Guelpen B, Li CI, Le Marchand L, Newcomb PA, Ogino S, Pellatt A, Schmit SL, Wolk A, Wu AH, Peters U, Gunter MJ, and Tsilidis KK
Subjects: Humans, Risk Factors, Insulin-Like Growth Factor I metabolism, Alcohol Drinking epidemiology, Colorectal Neoplasms genetics, Colorectal Neoplasms epidemiology, Mendelian Randomization Analysis, Body Mass Index, Obesity genetics, Obesity epidemiology
Abstract: Background: Colorectal cancer (CRC) is the third-most-common cancer worldwide and its rates are increasing. Elevated body mass index (BMI) is an established risk factor for CRC, although the molecular mechanisms behind this association remain unclear. Using the Mendelian randomization (MR) framework, we aimed to investigate the mediating effects of putative biomarkers and other CRC risk factors in the association between BMI and CRC., Methods: We selected as mediators biomarkers of established cancer-related mechanisms and other CRC risk factors for which a plausible association with obesity exists, such as inflammatory biomarkers, glucose homeostasis traits, lipids, adipokines, insulin-like growth factor 1 (IGF1), sex hormones, 25-hydroxy-vitamin D, smoking, physical activity (PA) and alcohol consumption. We used inverse-variance weighted MR in the main univariable analyses and performed sensitivity analyses (weighted-median, MR-Egger, Contamination Mixture). We used multivariable MR for the mediation analyses., Results: Genetically predicted BMI was positively associated with CRC risk [odds ratio per SD (5 kg/m2) = 1.17, 95% CI: 1.08-1.24, P-value = 1.4 × 10-5] and robustly associated with nearly all potential mediators. Genetically predicted IGF1, fasting insulin, low-density lipoprotein cholesterol, smoking, PA and alcohol were associated with CRC risk. Evidence for attenuation was found for IGF1 [explained 7% (95% CI: 2-13%) of the association], smoking (31%, 4-57%) and PA (7%, 2-11%). There was little evidence for pleiotropy, although smoking was bidirectionally associated with BMI and instruments were weak for PA., Conclusions: The effect of BMI on CRC risk is possibly partly mediated through plasma IGF1, whereas the attenuation of the BMI-CRC association by smoking and PA may reflect confounding and shared underlying mechanisms rather than mediation., (© The Author(s) 2024. Published by Oxford University Press on behalf of the International Epidemiological Association.)
Published: 2024
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31. Spectrum of somatic mutational features of colorectal tumors in ancestrally diverse populations.

Author: Matejcic M, Teer JK, Hoehn HJ, Diaz DB, Shankar K, Gong J, Nguyen NT, Lorona N, Coppola D, Fulmer C, Saglam O, Jiang K, Cress D, Muñoz-Antonia T, Flores I, Gordian E, Oliveras Torres JA, Felder SI, Sanchez JA, Fleming J, Siegel EM, Freedman JA, Dutil J, Stern MC, Fridley BL, Figueiredo JC, and Schmit SL
Abstract: Ancestrally diverse and admixed populations, including the Hispanic/Latino/a/x/e community, are underrepresented in cancer genetic and genomic studies. Leveraging the Latino Colorectal Cancer Consortium, we analyzed whole exome sequencing data on tumor/normal pairs from 718 individuals with colorectal cancer (128 Latino, 469 non-Latino) to map somatic mutational features by ethnicity and genetic ancestry. Global proportions of African, East Asian, European, and Native American ancestries were estimated using ADMIXTURE. Associations between global genetic ancestry and somatic mutational features across genes were examined using logistic regression. TP53 , APC , and KRAS were the most recurrently mutated genes. Compared to non-Latino individuals, tumors from Latino individuals had fewer KRAS (OR=0.64, 95%CI=0.41-0.97, p=0.037) and PIK3CA mutations (OR=0.55, 95%CI=0.31-0.98, p=0.043). Genetic ancestry was associated with presence of somatic mutations in 39 genes (FDR-adjusted LRT p<0.05). Among these genes, a 10% increase in African ancestry was associated with significantly higher odds of mutation in KNCN (OR=1.34, 95%CI=1.09-1.66, p=5.74×10 -3 ) and TMEM184B (OR=1.53, 95%CI=1.10-2.12, p=0.011). Among RMGs, we found evidence of association between genetic ancestry and mutation status in CDC27 (LRT p=0.0084) and between SMAD2 mutation status and AFR ancestry (OR=1.14, 95%CI=1.00-1.30, p=0.046). Ancestry was not associated with tumor mutational burden. Individuals with above-average Native American ancestry had a lower frequency of microsatellite instable (MSI-H) vs microsatellite stable tumors (OR=0.45, 95%CI=0.21-0.99, p=0.048). Our findings provide new knowledge about the relationship between ancestral haplotypes and somatic mutational profiles that may be useful in developing precision medicine approaches and provide additional insight into genomic contributions to cancer disparities., Significance: Our data in ancestrally diverse populations adds essential information to characterize mutational features in the colorectal cancer genome. These results will help enhance equity in the development of precision medicine strategies.
Published: 2024
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32. Plasma metabolomic differences in early-onset compared to average-onset colorectal cancer.

Author: Jayakrishnan T, Mariam A, Farha N, Rotroff DM, Aucejo F, Barot SV, Conces M, Nair KG, Krishnamurthi SS, Schmit SL, Liska D, Khorana AA, and Kamath SD
Subjects: Humans, Middle Aged, Citrates, Citric Acid, Arginine, Metabolomics, Colorectal Neoplasms
Abstract: Deleterious effects of environmental exposures may contribute to the rising incidence of early-onset colorectal cancer (eoCRC). We assessed the metabolomic differences between patients with eoCRC, average-onset CRC (aoCRC), and non-CRC controls, to understand pathogenic mechanisms. Patients with stage I-IV CRC and non-CRC controls were categorized based on age ≤ 50 years (eoCRC or young non-CRC controls) or ≥ 60 years (aoCRC or older non-CRC controls). Differential metabolite abundance and metabolic pathway analyses were performed on plasma samples. Multivariate Cox proportional hazards modeling was used for survival analyses. All P values were adjusted for multiple testing (false discovery rate, FDR P < 0.15 considered significant). The study population comprised 170 patients with CRC (66 eoCRC and 104 aoCRC) and 49 non-CRC controls (34 young and 15 older). Citrate was differentially abundant in aoCRC vs. eoCRC in adjusted analysis (Odds Ratio = 21.8, FDR P = 0.04). Metabolic pathways altered in patients with aoCRC versus eoCRC included arginine biosynthesis, FDR P = 0.02; glyoxylate and dicarboxylate metabolism, FDR P = 0.005; citrate cycle, FDR P = 0.04; alanine, aspartate, and glutamate metabolism, FDR P = 0.01; glycine, serine, and threonine metabolism, FDR P = 0.14; and amino-acid t-RNA biosynthesis, FDR P = 0.01. 4-hydroxyhippuric acid was significantly associated with overall survival in all patients with CRC (Hazards ratio, HR = 0.4, 95% CI 0.3-0.7, FDR P = 0.05). We identified several unique metabolic alterations, particularly the significant differential abundance of citrate in aoCRC versus eoCRC. Arginine biosynthesis was the most enriched by the differentially altered metabolites. The findings hold promise in developing strategies for early detection and novel therapies., (© 2024. The Author(s).)
Published: 2024
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33. Distinct intratumoral microbiome of young-onset and average-onset colorectal cancer.

Author: Barot SV, Sangwan N, Nair KG, Schmit SL, Xiang S, Kamath S, Liska D, and Khorana AA
Subjects: Humans, Middle Aged, RNA, Ribosomal, 16S genetics, Bacteroides, Rectum, Microbiota genetics, Colorectal Neoplasms pathology
Abstract: Background: The unexplained rise of young-onset CRC (yoCRC, age <50 years) is of concern. Evidence suggests that microbial dysbiosis may be a contributing factor, but the tumor microbial profile of yoCRC in comparison to average-onset CRC (aoCRC, age >60) has not been fully investigated., Methods: 16S rRNA amplicon sequencing was performed in tumor and paired adjacent non-malignant fresh frozen tissue specimens prospectively collected from 136 yoCRC and 140 aoCRC patients. Phyloseq, microbiomeSeq, metagenomeSeq, and NetComi were utilized for bioinformatics analysis. Statistical tests included Fisher's exact test, ANOVA, PERMANOVA with Bonferroni correction, linear regression, and Wilcoxon test. p-value <0.05 was considered statistically significant., Findings: yoCRC patients were more likely to have left-sided (72.8 vs. 54.3%), rectal (36.7% vs. 25%), and stage IV (28% vs. 15%) tumors. yoCRC tumors had significantly higher microbial alpha diversity (p = 1.5 × 10 -5 ) and varied beta diversity (R2 = 0.31, p = 0.013) than aoCRC tumors. yoCRC tumors were enriched with Akkermansia and Bacteroides, whereas aoCRC tumors showed greater relative abundances of Bacillus, Staphylococcus, Listeria, Enterococcus, Pseudomonas, Fusobacterium, and Escherichia/Shigella. Akkermansia had a predominantly negative correlation with the microbial communities in yoCRC tumors. yoCRC and aoCRC tumors had distinct microbial profiles associated with tumor location, sidedness, stage, and obesity. Fusobacterium (R2 = -0.23, p = 0.001) and Akkermansia (R2 = 0.05, p = 0.001) abundance correlated with overall survival in yoCRC., Interpretation: Our study provides a comprehensive understanding of the microbial perturbations in yoCRC tumors. We identify microbial candidates that may highlight a distinct pathogenesis of yoCRC and serve as preventive, diagnostic, and therapeutic targets., Funding: Sondra and Stephen Hardis Chair in Oncology Research (A.A.K.)., Competing Interests: Declaration of interests S.V.B., N.S., K.G.N., S.L.S., and S.X. report no conflicts of interest. S.K. reports consulting and advisory roles in Exelixis, Tempus, Guardant Health, and SeaGen. D.L. reports consulting and advisory roles in Olympus Medical Systems and research funding from Merck. A.A.K. reports consulting honoraria from Janssen, Bayer, BMS, Sanofi, Pfizer, and Anthos., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)
Published: 2024
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34. Disparities among Black and Hispanic colorectal cancer patients: Findings from the California Cancer Registry.

Author: Mendez JS, Wang R, Liu L, Zhang J, Schmit SL, Figueiredo J, Lenz HJ, and Stern MC
Subjects: Humans, Male, California epidemiology, Registries, Black or African American, Colorectal Neoplasms epidemiology, Hispanic or Latino, Health Status Disparities
Abstract: Background: Colorectal cancer (CRC) is the third most common cancer in California and second among Hispanic/Latinx (H/L) males. Data from the California Cancer Registry were utilized to investigate the differential impact on CRC outcomes from demographic and clinical characteristics among non-Hispanic white (NHW), non-Hispanic Black (NHB), U.S. born (USB), and non-U.S. born (NUSB) H/L patients diagnosed during 1995-2020., Methods: We identified 248,238 NHW, 28,433 NHB, and 62,747 H/L cases (32,402 NUSB and 30,345 USB). Disparities across groups were evaluated through case frequencies, odds ratios (OR) from logistic regression, and hazard ratios (HR) from Cox regression models. All statistical tests were two-sided., Results: NHB patients showed a higher proportion of colon tumors (75.8%) than NHW (71.5%), whereas both NUSB (65.9%) and USB (66.9%) H/L cases had less (p < 0.001). In multivariate models, NUSB H/L cases were 15% more likely than NHW to have rectal cancer. Compared to NHW, NHB cases had the greatest proportion of Stage IV diagnoses (26.0%) and were more likely to die of CRC (multivariate HR = 1.12; 95% CI = 1.10-1.15). Instead, NUSB H/L patients were less likely to die of CRC (multivariate HR = 0.87; 95% CI = 0.85-0.89) whereas USB H/L did not differ from NHW., Conclusions: NHB and H/L cases have more adverse characteristics at diagnosis compared to NHW cases, with NHB cases being more likely to die from CRC. However, NUSB H/Ls cases showed better survival than NHW and US born H/L patients. These findings highlight the importance of considering nativity among H/L populations to understand cancer disparities., (© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
Published: 2023
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35. Referral, Uptake, and Outcome of Genetic Counseling and Testing in Patients With Early-Onset Colorectal Cancer.

Author: Syed H, Sommovilla J, Burke CA, McGee S, Macaron C, Heald B, Lyu R, Schmit SL, Nair K, Kamath S, Krishnamurthi S, Khorana AA, and Liska D
Subjects: Humans, Male, Female, Retrospective Studies, Genetic Testing methods, Referral and Consultation, Genetic Counseling, Colorectal Neoplasms diagnosis, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics
Abstract: Background: The incidence of early-onset colorectal cancer (EOCRC) is rapidly increasing. Pathogenic germline variants (PGVs) are detected in 16% to 20% of patients who have EOCRC, highlighting a need for genetic counseling (GC) and multigene panel testing in these patients. We aimed to determine the rate of referral to GC and uptake and outcomes of germline testing in patients with EOCRC., Methods: We conducted a retrospective cohort study of patients aged <50 years diagnosed with colorectal cancer (CRC) from 2010 to 2019 at Cleveland Clinic. Demographic data were extracted, including age, sex, self-reported race, and family history of CRC. The proportions of patients with GC referral and completion of GC and genetic testing were investigated, and genetic testing results were analyzed. Multivariable logistic regression analysis was conducted to identify factors independently associated with GC referral and uptake., Results: A total of 791 patients with EOCRC (57% male and 43% female) were included; 62% were referred for GC, and of those who were referred, 79% completed a GC appointment and 77% underwent genetic testing. Of those who underwent testing, 21% had a PGV detected; 82% were in known CRC-associated genes, with those associated with Lynch syndrome and familial adenomatous polyposis the most common, and 11% were in other actionable genes. Referral to GC was positively associated with family history of CRC (odds ratio [OR], 2.11; 95% CI, 1.51-2.96) and more recent year of diagnosis (2010-2013 vs 2017-2019; OR, 5.36; 95% CI, 3.59-8.01) but negatively associated with older age at diagnosis (OR, 0.89; 95% CI, 0.86-0.92)., Conclusions: Referral to GC for patients with EOCRC is increasing over time; however, even in recent years, almost 25% of patients were not referred for GC. We found that 1 in 5 patients with EOCRC carry actionable PGVs, highlighting the need for health systems to implement care pathways to optimize GC referral and testing in all patients with EOCRC.
Published: 2023
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36. Genetically determined circulating resistin concentrations and risk of colorectal cancer: a two-sample Mendelian randomization study.

Author: Pham TT, Nimptsch K, Papadimitriou N, Aleksandrova K, Jenab M, Gunter MJ, Le Marchand L, Li L, Lynch BM, Castellví-Bel S, Phipps AI, Schmit SL, Brenner H, Ogino S, Giovannucci E, and Pischon T
Subjects: Humans, Mendelian Randomization Analysis, Quantitative Trait Loci, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Resistin genetics, Colonic Neoplasms
Abstract: Purpose: Resistin, a novel pro-inflammatory protein implicated in inflammatory processes, has been suggested to play a role in colorectal development. However, evidence from observational studies has been inconsistent. Mendelian randomization may be a complementary method to examine this association., Methods: We conducted a two-sample Mendelian randomization to estimate the association between genetically determined circulating resistin concentrations and risk of colorectal cancer (CRC). Protein quantitative trait loci (pQTLs) from the SCALLOP consortium were used as instrumental variables (IVs) for resistin. CRC genetic summary data was obtained from GECCO/CORECT/CCFR (the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry), and FinnGen (Finland Biobank). The inverse variance weighted method (IVW) was applied in the main analysis, and other robust methods were used as sensitivity analyses. Estimates for the association from the two data sources were then pooled using a meta-analysis approach., Results: Thirteen pQTLs were identified as IVs explaining together 7.80% of interindividual variation in circulating resistin concentrations. Based on MR analyses, genetically determined circulating resistin concentrations were not associated with incident CRC (pooled-IVW-OR per standard deviation of resistin, 1.01; 95% CI 0.96, 1.06; p = 0.67. Restricting the analyses to using IVs within or proximal to the resistin-encoding gene (cis-IVs), or to IVs located elsewhere in the genome (trans-IVs) provided similar results. The association was not altered when stratified by sex or CRC subsites., Conclusions: We found no evidence of a relationship between genetically determined circulating resistin concentrations and risk of CRC., (© 2023. The Author(s).)
Published: 2023
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37. Genome-wide interaction analysis of folate for colorectal cancer risk.

Author: Bouras E, Kim AE, Lin Y, Morrison J, Du M, Albanes D, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop TD, Brenner H, Budiarto A, Burnett-Hartman A, Campbell PT, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Conti DV, Cotterchio M, Devall M, Diez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Giles GG, Gruber SB, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Lynch BM, Mahesworo B, Männistö S, Moreno V, Murphy N, Newcomb PA, Obón-Santacana M, Ose J, Palmer JR, Papadimitriou N, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Potter JD, Qi L, Qu C, Rennert G, Ruiz-Narvaez E, Sakoda LC, Schmit SL, Shcherbina A, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Um CY, van Duijnhoven FJ, Van Guelpen B, Visvanathan K, Wang J, White E, Wolk A, Woods MO, Ulrich CM, Hsu L, Gauderman WJ, Peters U, and Tsilidis KK
Subjects: Humans, Risk Factors, Case-Control Studies, Dietary Supplements, Folic Acid metabolism, Colorectal Neoplasms genetics
Abstract: Background: Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folate's role in CRC., Objectives: Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk., Methods: We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO)., Results: Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.90, 0.96; and 0.91; 95% CI: 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI: 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10 -8 ) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR: 0.82; 95% CI: 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR: 1.63; 95% CI: 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10 -8 ). No interactions were observed for dietary and total folate., Conclusions: Variation in 3p25.2 locus may modify the association of folate supplement with CRC risk. Experimental studies and studies incorporating other relevant omics data are warranted to validate this finding., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
Published: 2023
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38. Heterozygote advantage at HLA class I and II loci and reduced risk of colorectal cancer.

Author: Tsai YY, Qu C, Bonner JD, Sanz-Pamplona R, Lindsey SS, Melas M, McDonnell KJ, Idos GE, Walker CP, Tsang KK, Da Silva DM, Moratalla-Navarro F, Maoz A, Rennert HS, Kast WM, Greenson JK, Moreno V, Rennert G, Gruber SB, and Schmit SL
Subjects: Humans, Heterozygote, Gene Frequency, Histocompatibility Antigens Class II genetics, HLA Antigens, Receptors, Antigen, T-Cell genetics, Histocompatibility Antigens Class I genetics, Colorectal Neoplasms genetics
Abstract: Objective: Reduced diversity at Human Leukocyte Antigen (HLA) loci may adversely affect the host's ability to recognize tumor neoantigens and subsequently increase disease burden. We hypothesized that increased heterozygosity at HLA loci is associated with a reduced risk of developing colorectal cancer (CRC)., Methods: We imputed HLA class I and II four-digit alleles using genotype data from a population-based study of 5,406 cases and 4,635 controls from the Molecular Epidemiology of Colorectal Cancer Study (MECC). Heterozygosity at each HLA locus and the number of heterozygous genotypes at HLA class -I ( A , B , and C ) and HLA class -II loci ( DQB1 , DRB1 , and DPB1 ) were quantified. Logistic regression analysis was used to estimate the risk of CRC associated with HLA heterozygosity. Individuals with homozygous genotypes for all loci served as the reference category, and the analyses were adjusted for sex, age, genotyping platform, and ancestry. Further, we investigated associations between HLA diversity and tumor-associated T cell repertoire features, as measured by tumor infiltrating lymphocytes (TILs; N=2,839) and immunosequencing (N=2,357)., Results: Individuals with all heterozygous genotypes at all three class I genes had a reduced odds of CRC (OR: 0.74; 95% CI: 0.56-0.97, p = 0.031). A similar association was observed for class II loci, with an OR of 0.75 (95% CI: 0.60-0.95, p = 0.016). For class-I and class-II combined, individuals with all heterozygous genotypes had significantly lower odds of developing CRC (OR: 0.66, 95% CI: 0.49-0.87, p = 0.004) than those with 0 or one heterozygous genotype. HLA class I and/or II diversity was associated with higher T cell receptor (TCR) abundance and lower TCR clonality, but results were not statistically significant., Conclusion: Our findings support a heterozygote advantage for the HLA class-I and -II loci, indicating an important role for HLA genetic variability in the etiology of CRC., Competing Interests: GI: receives/received research funding from Myriad Genetics and Laboratories. JG: consultant for Guardant Health. VM: owns stock in Aniling. SG: Co-founder of Brogent International LLC with equity. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Tsai, Qu, Bonner, Sanz-Pamplona, Lindsey, Melas, McDonnell, Idos, Walker, Tsang, Da Silva, Moratalla-Navarro, Maoz, Rennert, Kast, Greenson, Moreno, Rennert, Gruber and Schmit.)
Published: 2023
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39. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations.

Author: Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJB, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Le Marchand L, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Lansdorp Vogelaar I, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, and Hsu L
Subjects: Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Risk Factors, Multifactorial Inheritance, Ethnicity genetics, Colorectal Neoplasms diagnosis, Colorectal Neoplasms genetics
Abstract: Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice., (© 2023. Springer Nature Limited.)
Published: 2023
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40. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk.

Author: Aglago EK, Kim A, Lin Y, Qu C, Evangelou M, Ren Y, Morrison J, Albanes D, Arndt V, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Budiarto A, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Chen X, Conti DV, Devall M, Diez-Obrero V, Dimou N, Drew D, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampel H, Harlid S, Hidaka A, Harrison TA, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl K, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Larsson SC, Marchand LL, Lewinger JP, Li L, Lynch BM, Mahesworo B, Mandic M, Obón-Santacana M, Moreno V, Murphy N, Nan H, Nassir R, Newcomb PA, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Tian Y, Ulrich CM, van Duijnhoven FJ, Van Guelpen B, Visvanathan K, Vodicka P, Wang J, White E, Wolk A, Woods MO, Wu AH, Zemlianskaia N, Hsu L, Gauderman WJ, Peters U, Tsilidis KK, and Campbell PT
Subjects: Humans, Body Mass Index, Risk Factors, Genetic Loci, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Genome-Wide Association Study, Intercellular Signaling Peptides and Proteins genetics, Obesity complications, Obesity genetics, Colorectal Neoplasms genetics
Abstract: Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer., Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies., (©2023 The Authors; Published by the American Association for Cancer Research.)
Published: 2023
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41. Efforts to Grow Genomic Research in Ancestrally Diverse and Admixed Populations.

Author: Schmit SL, Purrington K, and Figueiredo JC
Subjects: Female, Humans, Animals, Neoplasm Recurrence, Local, Mutation, Genomics, Hispanic or Latino genetics, Breast Neoplasms genetics, Breast Neoplasms pathology, Mammary Neoplasms, Animal
Abstract: Recent initiatives by the research community to characterize the genomic and molecular landscapes of tumors in ancestrally diverse and admixed populations, including the publication by Ding and colleagues in this issue of Cancer Research, represent important efforts to improve our understanding of the entire spectrum of cancer genomic variation with potential clinical consequences. Ding and colleagues confirmed a similar prevalence of mutations in established breast cancer driver genes including PIK3CA, TP53, GATA3, MAP3K1, CDH1, CBFB, PTEN, and RUNX1 and recurrent amplifications in breast cancer drivers including MYC, FGFR1, CCND1, and ERBB2 in tumors from Hispanic/Latina women as compared with non-Hispanic White women. Importantly, they also identified Catalogue of Somatic Mutations in Cancer (COSMIC) signature 16 in a significant fraction of tumors from Hispanic/Latina women and a novel recurrent amplification on 17q11.2. This study highlights the potential for inclusion of participants from diverse populations to accelerate discoveries and advance equity in genomic medicine, as well as the need for even larger collaborative initiatives. See related article by Ding et al., p. 2600., (©2023 American Association for Cancer Research.)
Published: 2023
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42. Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response.

Author: Carreras-Torres R, Kim AE, Lin Y, Díez-Obrero V, Bien SA, Qu C, Wang J, Dimou N, Aglago EK, Albanes D, Arndt V, Baurley JW, Berndt SI, Bézieau S, Bishop DT, Bouras E, Brenner H, Budiarto A, Campbell PT, Casey G, Chan AT, Chang-Claude J, Chen X, Conti DV, Dampier CH, Devall MAM, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kawaguchi E, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, Cenggoro TW, Weinstein SJ, White E, Wolk A, Woods MO, Hsu L, Peters U, Moreno V, and Gauderman WJ
Subjects: Humans, Smoking genetics, Risk Factors, Genotype, Inflammation, Tobacco Smoking, Genetic Loci, Polymorphism, Single Nucleotide, Case-Control Studies, Genetic Predisposition to Disease, Colorectal Neoplasms epidemiology
Abstract: Background: Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer., Methods: A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia., Results: Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33)., Conclusions: Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response., Impact: These findings can guide potential prevention treatments., (©2022 American Association for Cancer Research.)
Published: 2023
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43. Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity.

Author: Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJ, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Marchand LL, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Vogelaar IL, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, and Hsu L
Abstract: Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expanded PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS were 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1,681-3,651 cases and 8,696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They were significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values<0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
Published: 2023
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44. Novel Hot and Cold Spots of Young-Onset Colorectal Cancer Mortality in United States Counties.

Author: Buchalter RB, Kamath SD, Nair KG, Liska D, Khorana AA, and Schmit SL
Subjects: Humans, Socioeconomic Factors, United States epidemiology, Colorectal Neoplasms epidemiology
Published: 2022
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45. Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region.

Author: Jordahl KM, Shcherbina A, Kim AE, Su YR, Lin Y, Wang J, Qu C, Albanes D, Arndt V, Baurley JW, Berndt SI, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Budiarto A, Campbell PT, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Conti DV, Dampier CH, Devall MA, Díez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampel H, Harlid S, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Joshi AD, Keku TO, Larsson SC, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Moreno V, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Slattery ML, Stern MC, Tangen CM, Thibodeau SN, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, White E, Wolk A, Woods MO, Wu AH, Zemlianskaia N, Chang-Claude J, Gauderman WJ, Hsu L, Kundaje A, and Peters U
Subjects: Alcohol Drinking adverse effects, Alcohol Drinking epidemiology, Alcohol Drinking genetics, Electron Transport Complex IV genetics, Humans, Polymorphism, Single Nucleotide, Risk Factors, Colorectal Neoplasms etiology, Colorectal Neoplasms genetics, Genome-Wide Association Study
Abstract: Background: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer., Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1-28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models., Results: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose-response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype = 1.11; 95% confidence interval (CI), 1.06-1.17; OR for AA genotype = 1.22; 95% CI, 1.14-1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif., Conclusions: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region., Impact: The study identifies multifaceted evidence of a possible functional effect for rs1318920., (©2022 American Association for Cancer Research.)
Published: 2022
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46. Clinical Characteristics and Outcomes of Colorectal Cancer in the ColoCare Study: Differences by Age of Onset.

Author: Himbert C, Figueiredo JC, Shibata D, Ose J, Lin T, Huang LC, Peoples AR, Scaife CL, Pickron B, Lambert L, Cohan JN, Bronner M, Felder S, Sanchez J, Dessureault S, Coppola D, Hoffman DM, Nasseri YF, Decker RW, Zaghiyan K, Murrell ZA, Hendifar A, Gong J, Firoozmand E, Gangi A, Moore BA, Cologne KG, El-Masry MS, Hinkle N, Monroe J, Mutch M, Bernadt C, Chatterjee D, Sinanan M, Cohen SA, Wallin U, Grady WM, Lampe PD, Reddi D, Krane M, Fichera A, Moonka R, Herpel E, Schirmacher P, Kloor M, von Knebel-Doeberitz M, Nattenmueller J, Kauczor HU, Swanson E, Jedrzkiewicz J, Schmit SL, Gigic B, Ulrich AB, Toriola AT, Siegel EM, Li CI, Ulrich CM, and Hardikar S
Abstract: Early-onset colorectal cancer has been on the rise in Western populations. Here, we compare patient characteristics between those with early- (<50 years) vs. late-onset (≥50 years) disease in a large multinational cohort of colorectal cancer patients ( n = 2193). We calculated descriptive statistics and assessed associations of clinicodemographic factors with age of onset using mutually-adjusted logistic regression models. Patients were on average 60 years old, with BMI of 29 kg/m 2 , 52% colon cancers, 21% early-onset, and presented with stage II or III (60%) disease. Early-onset patients presented with more advanced disease (stages III-IV: 63% vs. 51%, respectively), and received more neo and adjuvant treatment compared to late-onset patients, after controlling for stage (odds ratio (OR) (95% confidence interval (CI)) = 2.30 (1.82-3.83) and 2.00 (1.43-2.81), respectively). Early-onset rectal cancer patients across all stages more commonly received neoadjuvant treatment, even when not indicated as the standard of care, e.g., during stage I disease. The odds of early-onset disease were higher among never smokers and lower among overweight patients (1.55 (1.21-1.98) and 0.56 (0.41-0.76), respectively). Patients with early-onset colorectal cancer were more likely to be diagnosed with advanced stage disease, to have received systemic treatments regardless of stage at diagnosis, and were less likely to be ever smokers or overweight.
Published: 2021
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47. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.

Author: Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gockel I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, and Lindström S
Abstract: Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we collected GWAS summary statistics based on up to 375,468 cancer cases and 530,521 controls for fourteen types of cancer, including breast (overall, estrogen receptor [ER]-positive, and ER-negative), colorectal, endometrial, esophageal, glioma, head/neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancer, to characterize the shared genetic basis of cancer risk. We identified thirteen pairs of cancers with statistically significant local genetic correlations across eight distinct genomic regions. Specifically, the 5p15.33 region, harboring the TERT and CLPTM1L genes, showed statistically significant local genetic correlations for multiple cancer pairs. We conducted a cross-cancer fine-mapping of the 5p15.33 region based on eight cancers that showed genome-wide significant associations in this region (ER-negative breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, and prostate cancer). We used an iterative analysis pipeline implementing a subset-based meta-analysis approach based on cancer-specific conditional analyses and identified ten independent cross-cancer associations within this region. For each signal, we conducted cross-cancer fine-mapping to prioritize the most plausible causal variants. Our findings provide a more in-depth understanding of the shared inherited basis across human cancers and expand our knowledge of the 5p15.33 region in carcinogenesis.
Published: 2021
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48. Genetic architectures of proximal and distal colorectal cancer are partly distinct.

Author: Huyghe JR, Harrison TA, Bien SA, Hampel H, Figueiredo JC, Schmit SL, Conti DV, Chen S, Qu C, Lin Y, Barfield R, Baron JA, Cross AJ, Diergaarde B, Duggan D, Harlid S, Imaz L, Kang HM, Levine DM, Perduca V, Perez-Cornago A, Sakoda LC, Schumacher FR, Slattery ML, Toland AE, van Duijnhoven FJB, Van Guelpen B, Agudo A, Albanes D, Alonso MH, Anderson K, Arnau-Collell C, Arndt V, Banbury BL, Bassik MC, Berndt SI, Bézieau S, Bishop DT, Boehm J, Boeing H, Boutron-Ruault MC, Brenner H, Brezina S, Buch S, Buchanan DD, Burnett-Hartman A, Caan BJ, Campbell PT, Carr PR, Castells A, Castellví-Bel S, Chan AT, Chang-Claude J, Chanock SJ, Curtis KR, de la Chapelle A, Easton DF, English DR, Feskens EJM, Gala M, Gallinger SJ, Gauderman WJ, Giles GG, Goodman PJ, Grady WM, Grove JS, Gsur A, Gunter MJ, Haile RW, Hampe J, Hoffmeister M, Hopper JL, Hsu WL, Huang WY, Hudson TJ, Jenab M, Jenkins MA, Joshi AD, Keku TO, Kooperberg C, Kühn T, Küry S, Le Marchand L, Lejbkowicz F, Li CI, Li L, Lieb W, Lindblom A, Lindor NM, Männistö S, Markowitz SD, Milne RL, Moreno L, Murphy N, Nassir R, Offit K, Ogino S, Panico S, Parfrey PS, Pearlman R, Pharoah PDP, Phipps AI, Platz EA, Potter JD, Prentice RL, Qi L, Raskin L, Rennert G, Rennert HS, Riboli E, Schafmayer C, Schoen RE, Seminara D, Song M, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Trichopoulou A, Ulrich CM, Visvanathan K, Vodicka P, Vodickova L, Vymetalkova V, Weigl K, Weinstein SJ, White E, Wolk A, Woods MO, Wu AH, Abecasis GR, Nickerson DA, Scacheri PC, Kundaje A, Casey G, Gruber SB, Hsu L, Moreno V, Hayes RB, Newcomb PA, and Peters U
Subjects: Adult, Age Distribution, Age of Onset, Aged, Aged, 80 and over, Alleles, Case-Control Studies, Cecum, Colon, Ascending, Colon, Descending, Colon, Sigmoid, Colon, Transverse, Colonic Neoplasms diagnosis, Female, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Rectal Neoplasms diagnosis, Risk Factors, White People genetics, Young Adult, Colon, Colonic Neoplasms genetics, Genetic Heterogeneity, Rectal Neoplasms genetics
Abstract: Objective: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined., Design: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling., Results: We identified 13 loci that reached genome-wide significance (p<5×10 -8 ) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer., Conclusion: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2021
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49. Rare Variants in the DNA Repair Pathway and the Risk of Colorectal Cancer.

Author: Matejcic M, Shaban HA, Quintana MW, Schumacher FR, Edlund CK, Naghi L, Pai RK, Haile RW, Levine AJ, Buchanan DD, Jenkins MA, Figueiredo JC, Rennert G, Gruber SB, Li L, Casey G, Conti DV, and Schmit SL
Subjects: Bayes Theorem, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, Sialyltransferases, White People, Colorectal Neoplasms genetics, DNA Repair genetics, Genetic Predisposition to Disease
Abstract: Background: Inherited susceptibility is an important contributor to colorectal cancer risk, and rare variants in key genes or pathways could account in part for the missing proportion of colorectal cancer heritability., Methods: We conducted an exome-wide association study including 2,327 cases and 2,966 controls of European ancestry from three large epidemiologic studies. Single variant associations were tested using logistic regression models, adjusting for appropriate study-specific covariates. In addition, we examined the aggregate effects of rare coding variation at the gene and pathway levels using Bayesian model uncertainty techniques., Results: In an exome-wide gene-level analysis, we identified ST6GALNAC2 as the top associated gene based on the Bayesian risk index (BRI) method [summary Bayes factor (BF) BRI = 2604.23]. A rare coding variant in this gene, rs139401613, was the top associated variant ( P = 1.01 × 10 -6 ) in an exome-wide single variant analysis. Pathway-level association analyses based on the integrative BRI (iBRI) method found extreme evidence of association with the DNA repair pathway (BF iBRI = 17852.4), specifically with the nonhomologous end joining (BF iBRI = 437.95) and nucleotide excision repair (BF iBRI = 36.96) subpathways. The iBRI method also identified RPA2, PRKDC, ERCC5 , and ERCC8 as the top associated DNA repair genes (summary BF iBRI ≥ 10), with rs28988897, rs8178232, rs141369732, and rs201642761 being the most likely associated variants in these genes, respectively., Conclusions: We identified novel variants and genes associated with colorectal cancer risk and provided additional evidence for a role of DNA repair in colorectal cancer tumorigenesis., Impact: This study provides new insights into the genetic predisposition to colorectal cancer, which has potential for translation into improved risk prediction., (©2021 American Association for Cancer Research.)
Published: 2021
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50. Tumor immune infiltration estimated from gene expression profiles predicts colorectal cancer relapse.

Author: Kamal Y, Dwan D, Hoehn HJ, Sanz-Pamplona R, Alonso MH, Moreno V, Cheng C, Schell MJ, Kim Y, Felder SI, Rennert HS, Melas M, Lazaris C, Bonner JD, Siegel EM, Shibata D, Rennert G, Gruber SB, Frost HR, Amos CI, and Schmit SL
Subjects: Humans, Microsatellite Instability, Prognosis, Recurrence, Colorectal Neoplasms genetics, Transcriptome
Abstract: A substantial fraction of patients with stage I-III colorectal adenocarcinoma (CRC) experience disease relapse after surgery with curative intent. However, biomarkers for predicting the likelihood of CRC relapse have not been fully explored. Therefore, we assessed the association between tumor infiltration by a broad array of innate and adaptive immune cell types and CRC relapse risk. We implemented a discovery-validation design including a discovery dataset from Moffitt Cancer Center (MCC; Tampa, FL) and three independent validation datasets: (1) GSE41258 (2) the Molecular Epidemiology of Colorectal Cancer (MECC) study, and (3) GSE39582. Infiltration by 22 immune cell types was inferred from tumor gene expression data, and the association between immune infiltration by each cell type and relapse-free survival was assessed using Cox proportional hazards regression. Within each of the four independent cohorts, CD4+ memory activated T cell (HR: 0.93, 95% CI: 0.90-0.96; FDR = 0.0001) infiltration was associated with longer time to disease relapse, independent of stage, microsatellite instability, and adjuvant therapy. Based on our meta-analysis across the four datasets, 10 innate and adaptive immune cell types associated with disease relapse of which 2 were internally validated using multiplex immunofluorescence. Moreover, immune cell type infiltration was a better predictors of disease relapse than Consensus Molecular Subtype (CMS) and other expression-based biomarkers (Immune-AIC MCC :238.1-238.9; CMS-AIC MCC : 241.0). These data suggest that transcriptome-derived immune profiles are prognostic indicators of CRC relapse and quantification of both innate and adaptive immune cell types may serve as candidate biomarkers for predicting prognosis and guiding frequency and modality of disease surveillance., (© 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.)
Published: 2021
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