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1. Diabetes mellitus in relation to colorectal tumor molecular subtypes: A pooled analysis of more than 9000 cases

Author

Harlid, S, Van Guelpen, B, Qu, C, Gylling, B, Aglago, EK, Amitay, EL, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Drew, DA, Figueiredo, JC, French, AJ, Gallinger, S, Giannakis, M, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Moreno, V, Murphy, N, Newcomb, PA, Newton, CC, Nowak, JA, Obon-Santacana, M, Ogino, S, Potter, JD, Song, M, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Ugai, T, Um, CY, Woods, MO, Phipps, A, Harrison, T, Peters, U, Harlid, S, Van Guelpen, B, Qu, C, Gylling, B, Aglago, EK, Amitay, EL, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Drew, DA, Figueiredo, JC, French, AJ, Gallinger, S, Giannakis, M, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Moreno, V, Murphy, N, Newcomb, PA, Newton, CC, Nowak, JA, Obon-Santacana, M, Ogino, S, Potter, JD, Song, M, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Ugai, T, Um, CY, Woods, MO, Phipps, A, Harrison, T, and Peters, U

Abstract

Diabetes is an established risk factor for colorectal cancer. However, colorectal cancer is a heterogeneous disease and it is not well understood whether diabetes is more strongly associated with some tumor molecular subtypes than others. A better understanding of the association between diabetes and colorectal cancer according to molecular subtypes could provide important insights into the biology of this association. We used data on lifestyle and clinical characteristics from the Colorectal Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), including 9756 colorectal cancer cases (with tumor marker data) and 9985 controls, to evaluate associations between reported diabetes and risk of colorectal cancer according to molecular subtypes. Tumor markers included BRAF and KRAS mutations, microsatellite instability and CpG island methylator phenotype. In the multinomial logistic regression model, comparing colorectal cancer cases to cancer-free controls, diabetes was positively associated with colorectal cancer regardless of subtype. The highest OR estimate was found for BRAF-mutated colorectal cancer, n = 1086 (ORfully adj : 1.67, 95% confidence intervals [CI]: 1.36-2.05), with an attenuated association observed between diabetes and colorectal cancer without BRAF-mutations, n = 7959 (ORfully adj : 1.33, 95% CI: 1.19-1.48). In the case only analysis, BRAF-mutation was differentially associated with diabetes (Pdifference = .03). For the other markers, associations with diabetes were similar across tumor subtypes. In conclusion, our study confirms the established association between diabetes and colorectal cancer risk, and suggests that it particularly increases the risk of BRAF-mutated tumors.

Published
2022

2. Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures

Author

Georgeson, P, Harrison, TA, Pope, BJ, Zaidi, SH, Qu, C, Steinfelder, RS, Lin, Y, Joo, JE, Mahmood, K, Clendenning, M, Walker, R, Amitay, EL, Berndt, S, Brenner, H, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Doheny, KF, Drew, DA, Figueiredo, JC, French, AJ, Gallinger, S, Giannakis, M, Giles, GG, Gsur, A, Gunter, MJ, Hoffmeister, M, Hsu, L, Huang, W-Y, Limburg, P, Manson, JE, Moreno, V, Nassir, R, Nowak, JA, Obon-Santacana, M, Ogino, S, Phipps, A, Potter, JD, Schoen, RE, Sun, W, Toland, AE, Trinh, QM, Ugai, T, Macrae, FA, Rosty, C, Hudson, TJ, Jenkins, MA, Thibodeau, SN, Winship, IM, Peters, U, Buchanan, DD, Georgeson, P, Harrison, TA, Pope, BJ, Zaidi, SH, Qu, C, Steinfelder, RS, Lin, Y, Joo, JE, Mahmood, K, Clendenning, M, Walker, R, Amitay, EL, Berndt, S, Brenner, H, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Doheny, KF, Drew, DA, Figueiredo, JC, French, AJ, Gallinger, S, Giannakis, M, Giles, GG, Gsur, A, Gunter, MJ, Hoffmeister, M, Hsu, L, Huang, W-Y, Limburg, P, Manson, JE, Moreno, V, Nassir, R, Nowak, JA, Obon-Santacana, M, Ogino, S, Phipps, A, Potter, JD, Schoen, RE, Sun, W, Toland, AE, Trinh, QM, Ugai, T, Macrae, FA, Rosty, C, Hudson, TJ, Jenkins, MA, Thibodeau, SN, Winship, IM, Peters, U, and Buchanan, DD

Abstract

Carriers of germline biallelic pathogenic variants in the MUTYH gene have a high risk of colorectal cancer. We test 5649 colorectal cancers to evaluate the discriminatory potential of a tumor mutational signature specific to MUTYH for identifying biallelic carriers and classifying variants of uncertain clinical significance (VUS). Using a tumor and matched germline targeted multi-gene panel approach, our classifier identifies all biallelic MUTYH carriers and all known non-carriers in an independent test set of 3019 colorectal cancers (accuracy = 100% (95% confidence interval 99.87-100%)). All monoallelic MUTYH carriers are classified with the non-MUTYH carriers. The classifier provides evidence for a pathogenic classification for two VUS and a benign classification for five VUS. Somatic hotspot mutations KRAS p.G12C and PIK3CA p.Q546K are associated with colorectal cancers from biallelic MUTYH carriers compared with non-carriers (p = 2 × 10-23 and p = 6 × 10-11, respectively). Here, we demonstrate the potential application of mutational signatures to tumor sequencing workflows to improve the identification of biallelic MUTYH carriers.

Published
2022

3. Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk

Author

Haas, CB, Su, Y-R, Petersen, P, Wang, X, Bien, SA, Lin, Y, Albanes, D, Weinstein, SJ, Jenkins, MA, Figueiredo, JC, Newcomb, PA, Casey, G, Le Marchand, L, Campbell, PT, Moreno, V, Potter, JD, Sakoda, LC, Slattery, ML, Chan, AT, Li, L, Giles, GG, Milne, RL, Gruber, SB, Rennert, G, Woods, MO, Gallinger, SJ, Berndt, S, Hayes, RB, Huang, W-Y, Wolk, A, White, E, Nan, H, Nassir, R, Lindor, NM, Lewinger, JP, Kim, AE, Conti, D, Gauderman, WJ, Buchanan, DD, Peters, U, Hsu, L, Haas, CB, Su, Y-R, Petersen, P, Wang, X, Bien, SA, Lin, Y, Albanes, D, Weinstein, SJ, Jenkins, MA, Figueiredo, JC, Newcomb, PA, Casey, G, Le Marchand, L, Campbell, PT, Moreno, V, Potter, JD, Sakoda, LC, Slattery, ML, Chan, AT, Li, L, Giles, GG, Milne, RL, Gruber, SB, Rennert, G, Woods, MO, Gallinger, SJ, Berndt, S, Hayes, RB, Huang, W-Y, Wolk, A, White, E, Nan, H, Nassir, R, Lindor, NM, Lewinger, JP, Kim, AE, Conti, D, Gauderman, WJ, Buchanan, DD, Peters, U, and Hsu, L

Abstract

Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E-4), and Aspartylglucosaminidase (AGA: p = 4.5E-4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.

Published
2022

4. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk

Author

Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, Chang-Claude, J, Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, and Chang-Claude, J

Abstract

BACKGROUND: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.

Published
2022

5. Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer

Author

Archambault, AN, Lin, Y, Jeon, J, Harrison, TA, Bishop, DT, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, S, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Keku, TO, Le Marchand, L, Li, L, Moreno, V, Newcomb, PA, Pai, R, Parfrey, PS, Rennert, G, Sakoda, LC, Sandler, RS, Slattery, ML, Song, M, Win, AK, Woods, MO, Murphy, N, Campbell, PT, Su, Y-R, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Lin, Y, Jeon, J, Harrison, TA, Bishop, DT, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, S, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Keku, TO, Le Marchand, L, Li, L, Moreno, V, Newcomb, PA, Pai, R, Parfrey, PS, Rennert, G, Sakoda, LC, Sandler, RS, Slattery, ML, Song, M, Win, AK, Woods, MO, Murphy, N, Campbell, PT, Su, Y-R, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Hsu, L, Peters, U, and Hayes, RB

Abstract

BACKGROUND: Incidence of early-onset (younger than 50 years of age) colorectal cancer (CRC) is increasing in many countries. Thus, elucidating the role of traditional CRC risk factors in early-onset CRC is a high priority. We sought to determine whether risk factors associated with late-onset CRC were also linked to early-onset CRC and whether association patterns differed by anatomic subsite. METHODS: Using data pooled from 13 population-based studies, we studied 3767 CRC cases and 4049 controls aged younger than 50 years and 23 437 CRC cases and 35 311 controls aged 50 years and older. Using multivariable and multinomial logistic regression, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between risk factors and early-onset CRC and by anatomic subsite. RESULTS: Early-onset CRC was associated with not regularly using nonsteroidal anti-inflammatory drugs (OR = 1.43, 95% CI = 1.21 to 1.68), greater red meat intake (OR = 1.10, 95% CI = 1.04 to 1.16), lower educational attainment (OR = 1.10, 95% CI = 1.04 to 1.16), alcohol abstinence (OR = 1.23, 95% CI = 1.08 to 1.39), and heavier alcohol use (OR = 1.25, 95% CI = 1.04 to 1.50). No factors exhibited a greater excess in early-onset compared with late-onset CRC. Evaluating risks by anatomic subsite, we found that lower total fiber intake was linked more strongly to rectal (OR = 1.30, 95% CI = 1.14 to 1.48) than colon cancer (OR = 1.14, 95% CI = 1.02 to 1.27; P = .04). CONCLUSION: In this large study, we identified several nongenetic risk factors associated with early-onset CRC, providing a basis for targeted identification of those most at risk, which is imperative in mitigating the rising burden of this disease.

Published
2021

6. Salicylic Acid and Risk of Colorectal Cancer: A Two-Sample Mendelian Randomization Study

Author

Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, Relton, CL, Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, and Relton, CL

Abstract

Salicylic acid (SA) has observationally been shown to decrease colorectal cancer (CRC) risk. Aspirin (acetylsalicylic acid, that rapidly deacetylates to SA) is an effective primary and secondary chemopreventive agent. Through a Mendelian randomization (MR) approach, we aimed to address whether levels of SA affected CRC risk, stratifying by aspirin use. A two-sample MR analysis was performed using GWAS summary statistics of SA (INTERVAL and EPIC-Norfolk, N = 14,149) and CRC (CCFR, CORECT, GECCO and UK Biobank, 55,168 cases and 65,160 controls). The DACHS study (4410 cases and 3441 controls) was used for replication and stratification of aspirin-use. SNPs proxying SA were selected via three methods: (1) functional SNPs that influence the activity of aspirin-metabolising enzymes; (2) pathway SNPs present in enzymes' coding regions; and (3) genome-wide significant SNPs. We found no association between functional SNPs and SA levels. The pathway and genome-wide SNPs showed no association between SA and CRC risk (OR: 1.03, 95% CI: 0.84-1.27 and OR: 1.08, 95% CI: 0.86-1.34, respectively). Results remained unchanged upon aspirin use stratification. We found little evidence to suggest that an SD increase in genetically predicted SA protects against CRC risk in the general population and upon stratification by aspirin use.

Published
2021

7. Associations of Height With the Risks of Colorectal and Endometrial Cancer in Persons With Lynch Syndrome

Author

Brouwer, JGM, Newcomb, PA, Bisseling, TM, Figueiredo, JC, Hopper, JL, Jenkins, MA, Koornstra, JJ, Lindor, NM, Vasen, HFA, Win, AK, Kampman, E, van Duijnhoven, FJB, Brouwer, JGM, Newcomb, PA, Bisseling, TM, Figueiredo, JC, Hopper, JL, Jenkins, MA, Koornstra, JJ, Lindor, NM, Vasen, HFA, Win, AK, Kampman, E, and van Duijnhoven, FJB

Abstract

Persons with Lynch syndrome (LS - carrying a pathogenic mutation in a DNA mismatch repair gene) have an increased colorectal cancer (CRC) and endometrial cancer (EC) risk. A high reported variability in cancer risk suggests the existence of factors that modify cancer risk for LS. We aimed to investigate the association between height and CRC and EC for persons with LS using two large studies. Information of 1,213 men and 1,636 women with LS from the Colon Cancer Family Registry (1998-2007) and the GEOLynch cohort study (2006-2017) was harmonized. We used weighted Cox proportional hazard regression models with age on the time-axis to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for each 5 cm increment in self-reported height. CRC was diagnosed in 947 persons during 65,369 person-years of observation and 171 women were diagnosed with EC during 39,227 person-years of observation. Height was not associated with CRC for men (HR 1.00 per 5 cm, 95%CI: 0.91, 1.11) or women (HR 1.01 per 5 cm, 95%CI: 0.92, 1.11). Nor was height associated with EC (HR 1.08 per 5 cm, 95%CI: 0.94, 1.24). Hence, we observed no evidence for an association of height with either CRC or EC for persons with LS.

Published
2021

8. Uptake of hysterectomy and bilateral salpingooophorectomy in carriers of pathogenic mismatch repair variants: a Prospective Lynch Syndrome Database report

Author

Seppala, TT, Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Vida, JB, Kariv, R, Rosner, G, Pinero, TA, Pavicic, W, Kalfayan, P, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Redler, S, Weitz, J, Pylvaenaeinen, K, Renkonen-Sinisalo, L, Lepisto, A, Hopper, JL, Win, AK, Lindor, NM, Gallinger, S, Marchand, LL, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Wadt, KAW, Mourits, MJE, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Rokkones, E, Sampson, JR, Evans, DG, Moller, P, Seppala, TT, Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Vida, JB, Kariv, R, Rosner, G, Pinero, TA, Pavicic, W, Kalfayan, P, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Redler, S, Weitz, J, Pylvaenaeinen, K, Renkonen-Sinisalo, L, Lepisto, A, Hopper, JL, Win, AK, Lindor, NM, Gallinger, S, Marchand, LL, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Wadt, KAW, Mourits, MJE, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Rokkones, E, Sampson, JR, Evans, DG, and Moller, P

Abstract

PURPOSE: This study aimed to report the uptake of hysterectomy and/or bilateral salpingo-oophorectomy (BSO) to prevent gynaecological cancers (risk-reducing surgery [RRS]) in carriers of pathogenic MMR (path_MMR) variants. METHODS: The Prospective Lynch Syndrome Database (PLSD) was used to investigate RRS by a cross-sectional study in 2292 female path_MMR carriers aged 30-69 years. RESULTS: Overall, 144, 79, and 517 carriers underwent risk-reducing hysterectomy, BSO, or both combined, respectively. Two-thirds of procedures before 50 years of age were combined hysterectomy and BSO, and 81% of all procedures included BSO. Risk-reducing hysterectomy was performed before age 50 years in 28%, 25%, 15%, and 9%, and BSO in 26%, 25%, 14% and 13% of path_MLH1, path_MSH2, path_MSH6, and path_PMS2 carriers, respectively. Before 50 years of age, 107 of 188 (57%) BSO and 126 of 204 (62%) hysterectomies were performed in women without any prior cancer, and only 5% (20/392) were performed simultaneously with colorectal cancer (CRC) surgery. CONCLUSION: Uptake of RRS before 50 years of age was low, and RRS was rarely undertaken in association with surgical treatment of CRC. Uptake of RRS aligned poorly with gene- and age-associated risk estimates for endometrial or ovarian cancer that were published recently from PLSD and did not correspond well with current clinical guidelines. The reasons should be clarified. Decision-making on opting for or against RRS and its timing should be better aligned with predicted risk and mortality for endometrial and ovarian cancer in Lynch syndrome to improve outcomes.

Published
2021

9. Assessment of a Polygenic Risk Score for Colorectal Cancer to Predict Risk of Lynch Syndrome Colorectal Cancer

Author

Jenkins, MA, Buchanan, DD, Lai, J, Makalic, E, Dite, GS, Win, AK, Clendenning, M, Winship, IM, Hayes, RB, Huyghe, JR, Peters, U, Gallinger, S, Le Marchand, L, Figueiredo, JC, Pai, RK, Newcomb, PA, Church, JM, Casey, G, Hopper, JL, Jenkins, MA, Buchanan, DD, Lai, J, Makalic, E, Dite, GS, Win, AK, Clendenning, M, Winship, IM, Hayes, RB, Huyghe, JR, Peters, U, Gallinger, S, Le Marchand, L, Figueiredo, JC, Pai, RK, Newcomb, PA, Church, JM, Casey, G, and Hopper, JL

Abstract

It was not known whether the polygenic risk scores (PRSs) that predict colorectal cancer could predict colorectal cancer for people with inherited pathogenic variants in DNA mismatch repair genes-people with Lynch syndrome. We tested a PRS comprising 107 established single-nucleotide polymorphisms associated with colorectal cancer in European populations for 826 European-descent carriers of pathogenic variants in DNA mismatch repair genes (293 MLH1, 314 MSH2, 126 MSH6, 71 PMS2, and 22 EPCAM) from the Colon Cancer Family Registry, of whom 504 had colorectal cancer. There was no evidence of an association between the PRS and colorectal cancer risk, irrespective of which DNA mismatch repair gene was mutated, or sex (all 2-sided P > .05). The hazard ratio per standard deviation of the PRS for colorectal cancer was 0.97 (95% confidence interval = 0.88 to 1.06; 2-sided P = .51). Whereas PRSs are predictive of colorectal cancer in the general population, they do not predict Lynch syndrome colorectal cancer.

Published
2021

10. 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

11. No Difference in Penetrance between Truncating and Missense/Aberrant Splicing Pathogenic Variants in MLH1 and MSH2: A Prospective Lynch Syndrome Database Study

Author

Dominguez-Valentin, M, Plazzer, J-P, Sampson, JR, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Macrae, F, Winship, IM, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Cappel, WHDVTN, Sijmons, RH, Nielsen, M, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Alvarez, K, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Nakken, S, Hovig, E, Green, K, Lalloo, F, Hill, J, Vasen, HFA, Perne, C, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Steinke-Lange, V, Schmiegel, W, Vangala, D, Crosbie, EJ, Pineda, M, Navarro, M, Brunet, J, Moreira, L, Sanchez, A, Serra-Burriel, M, Mints, M, Kariv, R, Rosner, G, Pinero, TA, Pavicic, WH, Kalfayan, P, ten Broeke, SW, Mecklin, J-P, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Peltomaki, P, Hopper, JL, Win, AK, Buchanan, DD, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Hansen, TVO, Lindberg, L, Rodland, EA, Neffa, F, Esperon, P, Tjandra, D, Moslein, G, Seppala, TT, Moller, P, Dominguez-Valentin, M, Plazzer, J-P, Sampson, JR, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Macrae, F, Winship, IM, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Cappel, WHDVTN, Sijmons, RH, Nielsen, M, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Alvarez, K, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Nakken, S, Hovig, E, Green, K, Lalloo, F, Hill, J, Vasen, HFA, Perne, C, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Steinke-Lange, V, Schmiegel, W, Vangala, D, Crosbie, EJ, Pineda, M, Navarro, M, Brunet, J, Moreira, L, Sanchez, A, Serra-Burriel, M, Mints, M, Kariv, R, Rosner, G, Pinero, TA, Pavicic, WH, Kalfayan, P, ten Broeke, SW, Mecklin, J-P, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Peltomaki, P, Hopper, JL, Win, AK, Buchanan, DD, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Hansen, TVO, Lindberg, L, Rodland, EA, Neffa, F, Esperon, P, Tjandra, D, Moslein, G, Seppala, TT, and Moller, P

Abstract

BACKGROUND: Lynch syndrome is the most common genetic predisposition for hereditary cancer. Carriers of pathogenic changes in mismatch repair (MMR) genes have an increased risk of developing colorectal (CRC), endometrial, ovarian, urinary tract, prostate, and other cancers, depending on which gene is malfunctioning. In Lynch syndrome, differences in cancer incidence (penetrance) according to the gene involved have led to the stratification of cancer surveillance. By contrast, any differences in penetrance determined by the type of pathogenic variant remain unknown. OBJECTIVE: To determine cumulative incidences of cancer in carriers of truncating and missense or aberrant splicing pathogenic variants of the MLH1 and MSH2 genes. METHODS: Carriers of pathogenic variants of MLH1 (path_MLH1) and MSH2 (path_MSH2) genes filed in the Prospective Lynch Syndrome Database (PLSD) were categorized as truncating or missense/aberrant splicing according to the InSiGHT criteria for pathogenicity. RESULTS: Among 5199 carriers, 1045 had missense or aberrant splicing variants, and 3930 had truncating variants. Prospective observation years for the two groups were 8205 and 34,141 years, respectively, after which there were no significant differences in incidences for cancer overall or for colorectal cancer or endometrial cancers separately. CONCLUSION: Truncating and missense or aberrant splicing pathogenic variants were associated with similar average cumulative incidences of cancer in carriers of path MLH1 and path_MSH2.

Published
2021

12. Do the risks of Lynch syndrome-related cancers depend on the parent-of-origin of the mutation?

Author

Gemechu, S, van Vliet, CM, Win, AK, Figueiredo, JC, Le Marchand, L, Gallinger, S, Newcomb, PA, Hopper, JL, Lindor, NM, Jenkins, MA, Dowty, JG, Gemechu, S, van Vliet, CM, Win, AK, Figueiredo, JC, Le Marchand, L, Gallinger, S, Newcomb, PA, Hopper, JL, Lindor, NM, Jenkins, MA, and Dowty, JG

Abstract

Background Individuals who carry pathogenic mutations in DNA mismatch repair (MMR) genes have high risks of cancer, and small studies have suggested that these risks depend on the sex of the parent from whom the mutation was inherited. We have conducted the first large study of such a parent-of-origin effect (POE). Methods Our study was based on all MMR gene mutation carriers and their relatives in the Colon Cancer Family Registry, comprising 18,226 people. The POE was estimated as a hazard ratio (HR) using a segregation analysis approach that adjusted for ascertainment. HR = 1 corresponds to no POE and HR>1 corresponds to higher risks for maternal mutations. Results For all MMR genes combined, the estimated POE HRs were 1.02 (95% confidence interval (CI) 0.75-1.39, p = 0.9) for male colorectal cancer, 1.12 (95% CI 0.81-1.54, p = 0.5) for female colorectal cancer and 0.84 (95% CI 0.52-1.36, p = 0.5) for endometrial cancer. Separate results for each MMR gene were similar. Conclusions Despite being well-powered, our study did not find any evidence that cancer risks for MMR gene mutation carriers depend on the parent-of-origin of the mutation. Based on current evidence, we don’t recommend that POEs be incorporated into the clinical guidelines or advice for such carriers. Key messages MMR gene mutations inherited from the maternal and paternal side confer similar risks of developing colorectal and endometrial cancer.

Published
2021

13. Correction: Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database (vol 22, pg 15, 2020)

Author

Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buttner, R, Gorgens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Huneburg, R, Knebel Doeberitz, MV, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moslein, G, Mecklin, J-P, Nielsen, M, Moller, P, Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buttner, R, Gorgens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Huneburg, R, Knebel Doeberitz, MV, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moslein, G, Mecklin, J-P, Nielsen, M, and Moller, P

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

14. Functional informed genome-wide interaction analysis of body mass index, diabetes and colorectal cancer risk

Author

Xia, Z, Su, Y-R, Petersen, P, Qi, L, Kim, AE, Figueiredo, JC, Lin, Y, Nan, H, Sakoda, LC, Albanes, D, Berndt, SI, Bezieau, S, Bien, S, Buchanan, DD, Casey, G, Chan, AT, Conti, DV, Drew, DA, Gallinger, SJ, Gauderman, WJ, Giles, GG, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Le Marchand, L, Lewinger, JP, Li, L, Lindor, NM, Moreno, V, Murphy, N, Nassir, R, Newcomb, PA, Ogino, S, Rennert, G, Song, M, Wang, X, Wolk, A, Woods, MO, Brenner, H, White, E, Slattery, ML, Giovannucci, EL, Chang-Claude, J, Pharoah, PDP, Hsu, L, Campbell, PT, Peters, U, Xia, Z, Su, Y-R, Petersen, P, Qi, L, Kim, AE, Figueiredo, JC, Lin, Y, Nan, H, Sakoda, LC, Albanes, D, Berndt, SI, Bezieau, S, Bien, S, Buchanan, DD, Casey, G, Chan, AT, Conti, DV, Drew, DA, Gallinger, SJ, Gauderman, WJ, Giles, GG, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Le Marchand, L, Lewinger, JP, Li, L, Lindor, NM, Moreno, V, Murphy, N, Nassir, R, Newcomb, PA, Ogino, S, Rennert, G, Song, M, Wang, X, Wolk, A, Woods, MO, Brenner, H, White, E, Slattery, ML, Giovannucci, EL, Chang-Claude, J, Pharoah, PDP, Hsu, L, Campbell, PT, and Peters, U

Abstract

BACKGROUND: Body mass index (BMI) and diabetes are established risk factors for colorectal cancer (CRC), likely through perturbations in metabolic traits (e.g. insulin resistance and glucose homeostasis). Identification of interactions between variation in genes and these metabolic risk factors may identify novel biologic insights into CRC etiology. METHODS: To improve statistical power and interpretation for gene-environment interaction (G × E) testing, we tested genetic variants that regulate expression of a gene together for interaction with BMI (kg/m2 ) and diabetes on CRC risk among 26 017 cases and 20 692 controls. Each variant was weighted based on PrediXcan analysis of gene expression data from colon tissue generated in the Genotype-Tissue Expression Project for all genes with heritability ≥1%. We used a mixed-effects model to jointly measure the G × E interaction in a gene by partitioning the interactions into the predicted gene expression levels (fixed effects), and residual G × E effects (random effects). G × BMI analyses were stratified by sex as BMI-CRC associations differ by sex. We used false discovery rates to account for multiple comparisons and reported all results with FDR <0.2. RESULTS: Among 4839 genes tested, genetically predicted expressions of FOXA1 (P = 3.15 × 10-5 ), PSMC5 (P = 4.51 × 10-4 ) and CD33 (P = 2.71 × 10-4 ) modified the association of BMI on CRC risk for men; KIAA0753 (P = 2.29 × 10-5 ) and SCN1B (P = 2.76 × 10-4 ) modified the association of BMI on CRC risk for women; and PTPN2 modified the association between diabetes and CRC risk in both sexes (P = 2.31 × 10-5 ). CONCLUSIONS: Aggregating G × E interactions and incorporating functional information, we discovered novel genes that may interact with BMI and diabetes on CRC risk.

Published
2020

15. Postmenopausal Hormone Therapy and Colorectal Cancer Risk by Molecularly Defined Subtypes and Tumor Location

Author

Labadie, JD, Harrison, TA, Banbury, B, Amtay, EL, Bernd, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Murphy, N, Ogino, S, Phipps, A, Sakoda, LC, Slattery, ML, Southey, MC, Sun, W, Thibodeau, SN, Van Guelpen, B, Zaidi, SH, Peters, U, Newcomb, PA, Labadie, JD, Harrison, TA, Banbury, B, Amtay, EL, Bernd, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Murphy, N, Ogino, S, Phipps, A, Sakoda, LC, Slattery, ML, Southey, MC, Sun, W, Thibodeau, SN, Van Guelpen, B, Zaidi, SH, Peters, U, and Newcomb, PA

Abstract

BACKGROUND: Postmenopausal hormone therapy (HT) is associated with a decreased colorectal cancer (CRC) risk. As CRC is a heterogeneous disease, we evaluated whether the association of HT and CRC differs across etiologically relevant, molecularly defined tumor subtypes and tumor location. METHODS: We pooled data on tumor subtypes (microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, pathway: adenoma-carcinoma, alternate, serrated), tumor location (proximal colon, distal colon, rectum), and HT use among 8220 postmenopausal women (3898 CRC cases and 4322 controls) from 8 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CIs) for the association of ever vs never HT use with each tumor subtype compared with controls. Models were adjusted for study, age, body mass index, smoking status, and CRC family history. All statistical tests were 2-sided. RESULTS: Among postmenopausal women, ever HT use was associated with a 38% reduction in overall CRC risk (OR =0.62, 95% CI = 0.56 to 0.69). This association was similar according to microsatellite instability, CpG island methylator phenotype and BRAF or KRAS status. However, the association was attenuated for tumors arising through the serrated pathway (OR = 0.81, 95% CI = 0.66 to 1.01) compared with the adenoma-carcinoma pathway (OR = 0.63, 95% CI = 0.55 to 0.73; P het =.04) and alternate pathway (OR = 0.61, 95% CI = 0.51 to 0.72). Additionally, proximal colon tumors had a weaker association (OR = 0.71, 95% CI = 0.62 to 0.80) compared with rectal (OR = 0.54, 95% CI = 0.46 to 0.63) and distal colon (OR = 0.57, 95% CI = 0.49 to 0.66; P het =.01) tumors. CONCLUSIONS: We observed a strong inverse association between HT use and overall CRC risk, which may predominantly reflect a benefit of HT use for tumors arising through the adenoma-carcinoma and alternate pathways as well as distal colon and rectal tumors.

Published
2020

16. Genetic Predictors of Circulating 25-Hydroxyvitamin D and Prognosis after Colorectal Cancer.

Author

Neumeyer, S, Butterbach, K, Banbury, BL, Berndt, SI, Campbell, PT, Chlebowski, RT, Chan, AT, Giovannucci, EL, Joshi, AD, Ogino, S, Song, M, McCullough, ML, Maalmi, H, Manson, JE, Sakoda, LC, Schoen, RE, Slattery, ML, White, E, Win, AK, Figueiredo, JC, Hopper, JL, Macrae, FA, Peters, U, Brenner, H, Hoffmeister, M, Newcomb, PA, Chang-Claude, J, Neumeyer, S, Butterbach, K, Banbury, BL, Berndt, SI, Campbell, PT, Chlebowski, RT, Chan, AT, Giovannucci, EL, Joshi, AD, Ogino, S, Song, M, McCullough, ML, Maalmi, H, Manson, JE, Sakoda, LC, Schoen, RE, Slattery, ML, White, E, Win, AK, Figueiredo, JC, Hopper, JL, Macrae, FA, Peters, U, Brenner, H, Hoffmeister, M, Newcomb, PA, and Chang-Claude, J

Abstract

Background: Low serum 25-hydroxyvitamin D [25(OH)D] concentrations in patients with colorectal cancer have been consistently associated with higher mortality in observational studies. It is unclear whether low 25(OH)D levels directly influence colorectal cancer mortality. To minimize bias, we use genetic variants associated with vitamin D levels to evaluate the association with overall and colorectal cancer–specific survival. Methods: Six genetic variants have been robustly identified to be associated with 25(OH)D levels in genome-wide association studies. On the basis of data from the International Survival Analysis in Colorectal Cancer Consortium, the individual genetic variants and a weighted genetic risk score were tested for association with overall and colorectal cancer–specific survival using Cox proportional hazards models in 7,657 patients with stage I to IV colorectal cancer, of whom 2,438 died from any cause and 1,648 died from colorectal cancer. Results: The 25(OH)D decreasing allele of SNP rs2282679 (GC gene, encodes group-specific component/vitamin D–binding protein) was associated with poorer colorectal cancer–specific survival, although not significant after multiple-testing correction. None of the other five SNPs showed an association. The genetic risk score showed nonsignificant associations with increased overall [HR = 1.54; confidence interval (CI), 0.86–2.78] and colorectal cancer–specific mortality (HR = 1.76; 95% CI, 0.86–3.58). A significant increased risk of overall mortality was observed in women (HR = 3.26; 95% CI, 1.45–7.33; Pheterogeneity = 0.01) and normal-weight individuals (HR = 4.14; 95% CI, 1.50–11.43, Pheterogeneity = 0.02). Conclusions: Our results provided little evidence for an association of genetic predisposition of lower vitamin D levels with increased overall or colorectal cancer–specific survival, although power might have been an issue.

Published
2020

17. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study

Author

Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, Gunter, MJ, Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, and Gunter, MJ

Abstract

BACKGROUND: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. METHODS: We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. RESULTS: In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative meta

Published
2020

18. Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival

Author

Zaidi, SH, Harrison, TA, Phipps, A, Steinfelder, R, Trinh, QM, Qu, C, Banbury, BL, Georgeson, P, Grasso, CS, Giannakis, M, Adams, JB, Alwers, E, Amitay, EL, Barfield, RT, Berndt, S, Borozan, I, Brenner, H, Brezina, S, Buchanan, DD, Cao, Y, Chan, AT, Chang-Claude, J, Connolly, CM, Drew, DA, Farris, AB, Figueiredo, JC, French, AJ, Fuchs, CS, Garraway, LA, Gruber, S, Guinter, MA, Hamilton, SR, Harlid, S, Heisler, LE, Hidaka, A, Hopper, JL, Huang, W-Y, Huyghe, JR, Jenkins, MA, Krzyzanowski, PM, Lemire, M, Lin, Y, Luo, X, Mardis, ER, McPherson, JD, Miller, JK, Moreno, V, Mu, XJ, Nishihara, R, Papadopoulos, N, Pasternack, D, Quist, MJ, Rafikova, A, Reid, EEG, Shinbrot, E, Shirts, BH, Stein, LD, Teney, CD, Timms, L, Um, CY, Van Guelpen, B, Van Tassel, M, Wang, X, Wheeler, DA, Yung, CK, Hsu, L, Ogino, S, Gsur, A, Newcomb, PA, Gallinger, S, Hoffmeister, M, Campbell, PT, Thibodeau, SN, Sun, W, Hudson, TJ, Peters, U, Zaidi, SH, Harrison, TA, Phipps, A, Steinfelder, R, Trinh, QM, Qu, C, Banbury, BL, Georgeson, P, Grasso, CS, Giannakis, M, Adams, JB, Alwers, E, Amitay, EL, Barfield, RT, Berndt, S, Borozan, I, Brenner, H, Brezina, S, Buchanan, DD, Cao, Y, Chan, AT, Chang-Claude, J, Connolly, CM, Drew, DA, Farris, AB, Figueiredo, JC, French, AJ, Fuchs, CS, Garraway, LA, Gruber, S, Guinter, MA, Hamilton, SR, Harlid, S, Heisler, LE, Hidaka, A, Hopper, JL, Huang, W-Y, Huyghe, JR, Jenkins, MA, Krzyzanowski, PM, Lemire, M, Lin, Y, Luo, X, Mardis, ER, McPherson, JD, Miller, JK, Moreno, V, Mu, XJ, Nishihara, R, Papadopoulos, N, Pasternack, D, Quist, MJ, Rafikova, A, Reid, EEG, Shinbrot, E, Shirts, BH, Stein, LD, Teney, CD, Timms, L, Um, CY, Van Guelpen, B, Van Tassel, M, Wang, X, Wheeler, DA, Yung, CK, Hsu, L, Ogino, S, Gsur, A, Newcomb, PA, Gallinger, S, Hoffmeister, M, Campbell, PT, Thibodeau, SN, Sun, W, Hudson, TJ, and Peters, U

Abstract

Colorectal cancer (CRC) is a biologically heterogeneous disease. To characterize its mutational profile, we conduct targeted sequencing of 205 genes for 2,105 CRC cases with survival data. Our data shows several findings in addition to enhancing the existing knowledge of CRC. We identify PRKCI, SPZ1, MUTYH, MAP2K4, FETUB, and TGFBR2 as additional genes significantly mutated in CRC. We find that among hypermutated tumors, an increased mutation burden is associated with improved CRC-specific survival (HR = 0.42, 95% CI: 0.21-0.82). Mutations in TP53 are associated with poorer CRC-specific survival, which is most pronounced in cases carrying TP53 mutations with predicted 0% transcriptional activity (HR = 1.53, 95% CI: 1.21-1.94). Furthermore, we observe differences in mutational frequency of several genes and pathways by tumor location, stage, and sex. Overall, this large study provides deep insights into somatic mutations in CRC, and their potential relationships with survival and tumor features.

Published
2020

19. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses

Author

Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, Gunter, MJ, Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, and Gunter, MJ

Abstract

BACKGROUND & AIMS: Human studies examining associations between circulating levels of insulin-like growth factor 1 (IGF1) and insulin-like growth factor binding protein 3 (IGFBP3) and colorectal cancer risk have reported inconsistent results. We conducted complementary serologic and Mendelian randomization (MR) analyses to determine whether alterations in circulating levels of IGF1 or IGFBP3 are associated with colorectal cancer development. METHODS: Serum levels of IGF1 were measured in blood samples collected from 397,380 participants from the UK Biobank, from 2006 through 2010. Incident cancer cases and cancer cases recorded first in death certificates were identified through linkage to national cancer and death registries. Complete follow-up was available through March 31, 2016. For the MR analyses, we identified genetic variants associated with circulating levels of IGF1 and IGFBP3. The association of these genetic variants with colorectal cancer was examined with 2-sample MR methods using genome-wide association study consortia data (52,865 cases with colorectal cancer and 46,287 individuals without [controls]) RESULTS: After a median follow-up period of 7.1 years, 2665 cases of colorectal cancer were recorded. In a multivariable-adjusted model, circulating level of IGF1 associated with colorectal cancer risk (hazard ratio per 1 standard deviation increment of IGF1, 1.11; 95% confidence interval [CI] 1.05-1.17). Similar associations were found by sex, follow-up time, and tumor subsite. In the MR analyses, a 1 standard deviation increment in IGF1 level, predicted based on genetic factors, was associated with a higher risk of colorectal cancer risk (odds ratio 1.08; 95% CI 1.03-1.12; P = 3.3 × 10-4). Level of IGFBP3, predicted based on genetic factors, was associated with colorectal cancer risk (odds ratio per 1 standard deviation increment, 1.12; 95% CI 1.06-1.18; P = 4.2 × 10-5). Colorectal cancer risk was associated with only 1 variant in the IGFBP3 gene regi

Published
2020

20. 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

21. Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database

Author

Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos Tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, von Knebel Doeberitz, M, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moeslein, G, Mecklin, J-P, Nielsen, M, Moller, P, Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos Tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, von Knebel Doeberitz, M, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moeslein, G, Mecklin, J-P, Nielsen, M, and Moller, P

Abstract

PURPOSE: Pathogenic variants affecting MLH1, MSH2, MSH6, and PMS2 cause Lynch syndrome and result in different but imprecisely known cancer risks. This study aimed to provide age and organ-specific cancer risks according to gene and gender and to determine survival after cancer. METHODS: We conducted an international, multicenter prospective observational study using independent test and validation cohorts of carriers of class 4 or class 5 variants. After validation the cohorts were merged providing 6350 participants and 51,646 follow-up years. RESULTS: There were 1808 prospectively observed cancers. Pathogenic MLH1 and MSH2 variants caused high penetrance dominant cancer syndromes sharing similar colorectal, endometrial, and ovarian cancer risks, but older MSH2 carriers had higher risk of cancers of the upper urinary tract, upper gastrointestinal tract, brain, and particularly prostate. Pathogenic MSH6 variants caused a sex-limited trait with high endometrial cancer risk but only modestly increased colorectal cancer risk in both genders. We did not demonstrate a significantly increased cancer risk in carriers of pathogenic PMS2 variants. Ten-year crude survival was over 80% following colon, endometrial, or ovarian cancer. CONCLUSION: Management guidelines for Lynch syndrome may require revision in light of these different gene and gender-specific risks and the good prognosis for the most commonly associated cancers.

Published
2020

22. Risk-reducing hysterectomy and bilateral salpingo-oophorectomy in female heterozygotes of pathogenic mismatch repair variants: a Prospective Lynch Syndrome Database report

Author

Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Nakken, S, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Brunet Vidal, J, Kariv, R, Rosner, G, Alejandra Pinero, T, Laura Gonzalez, M, Kalfayan, P, Ryan, N, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Auranen, A, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Okkels, H, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Sampson, JR, Evans, DG, Seppala, TT, Moller, P, Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Nakken, S, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Brunet Vidal, J, Kariv, R, Rosner, G, Alejandra Pinero, T, Laura Gonzalez, M, Kalfayan, P, Ryan, N, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Auranen, A, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Okkels, H, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Sampson, JR, Evans, DG, Seppala, TT, and Moller, P

Abstract

PURPOSE: To determine impact of risk-reducing hysterectomy and bilateral salpingo-oophorectomy (BSO) on gynecological cancer incidence and death in heterozygotes of pathogenic MMR (path_MMR) variants. METHODS: The Prospective Lynch Syndrome Database was used to investigate the effects of gynecological risk-reducing surgery (RRS) at different ages. RESULTS: Risk-reducing hysterectomy at 25 years of age prevents endometrial cancer before 50 years in 15%, 18%, 13%, and 0% of path_MLH1, path_MSH2, path_MSH6, and path_PMS2 heterozygotes and death in 2%, 2%, 1%, and 0%, respectively. Risk-reducing BSO at 25 years of age prevents ovarian cancer before 50 years in 6%, 11%, 2%, and 0% and death in 1%, 2%, 0%, and 0%, respectively. Risk-reducing hysterectomy at 40 years prevents endometrial cancer by 50 years in 13%, 16%, 11%, and 0% and death in 1%, 2%, 1%, and 0%, respectively. BSO at 40 years prevents ovarian cancer before 50 years in 4%, 8%, 0%, and 0%, and death in 1%, 1%, 0%, and 0%, respectively. CONCLUSION: Little benefit is gained by performing RRS before 40 years of age and premenopausal BSO in path_MSH6 and path_PMS2 heterozygotes has no measurable benefit for mortality. These findings may aid decision making for women with LS who are considering RRS.

Published
2020

23. Potential impact of family history-based screening guidelines on the detection of early-onset colorectal cancer

Author

Gupta, S, Bharti, B, Ahnen, DJ, Buchanan, DD, Cheng, IC, Cotterchio, M, Figueiredo, JC, Gallinger, SJ, Haile, RW, Jenkins, MA, Lindor, NM, Macrae, FA, Le Marchand, L, Newcomb, PA, Thibodeau, SN, Win, AK, Martinez, ME, Gupta, S, Bharti, B, Ahnen, DJ, Buchanan, DD, Cheng, IC, Cotterchio, M, Figueiredo, JC, Gallinger, SJ, Haile, RW, Jenkins, MA, Lindor, NM, Macrae, FA, Le Marchand, L, Newcomb, PA, Thibodeau, SN, Win, AK, and Martinez, ME

Abstract

BACKGROUND: Initiating screening at an earlier age based on cancer family history is one of the primary recommended strategies for the prevention and detection of early-onset colorectal cancer (EOCRC), but data supporting the effectiveness of this approach are limited. The authors assessed the performance of family history-based guidelines for identifying individuals with EOCRC. METHODS: The authors conducted a population-based, case-control study of individuals aged 40 to 49 years with (2473 individuals) and without (772 individuals) incident CRC in the Colon Cancer Family Registry from 1998 through 2007. They estimated the sensitivity and specificity of family history-based criteria jointly recommended by the American Cancer Society, the US Multi-Society Task Force on CRC, and the American College of Radiology in 2008 for early screening, and the age at which each participant could have been recommended screening initiation if these criteria had been applied. RESULTS: Family history-based early screening criteria were met by approximately 25% of cases (614 of 2473 cases) and 10% of controls (74 of 772 controls), with a sensitivity of 25% and a specificity of 90% for identifying EOCRC cases aged 40 to 49 years. Among 614 individuals meeting early screening criteria, 98.4% could have been recommended screening initiation at an age younger than the observed age of diagnosis. CONCLUSIONS: Of CRC cases aged 40 to 49 years, 1 in 4 met family history-based early screening criteria, and nearly all cases who met these criteria could have had CRC diagnosed earlier (or possibly even prevented) if earlier screening had been implemented as per family history-based guidelines. Additional strategies are needed to improve the detection and prevention of EOCRC for individuals not meeting family history criteria for early screening.

Published
2020

24. 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

25. 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

26. Cancer Risks for PMS2-Associated Lynch Syndrome (vol 29, pg 2961, 2018)

Author

ten Broeke, SW, van der Klift, HM, Tops, CMJ, Aretz, S, Bernstein, I, Buchanan, DD, de la Chapelle, A, Capella, G, Clendenning, M, Engel, C, Gallinger, S, Garcia, EG, Figueiredo, JC, Haile, R, Hampel, HL, van Hest, L, Hopper, JL, Hoogerbrugge, N, Doeberitz, MVK, Le Marchand, L, Letteboer, TGW, Jenkins, MA, Lindblom, A, Lindor, NM, Mensenkamp, AR, Moller, P, Newcomb, PA, van Os, TAM, Pearlman, R, Pineda, M, Rahner, N, Redeker, EJW, Olderode-Berends, MJW, Rosty, C, Schackert, HK, Scott, R, Senter, L, Spruijt, L, Steinke-Lange, V, Suerink, M, Thibodeau, S, Vos, YJ, Wagner, A, Winship, I, Hes, FJ, Vasen, HFA, Wijnen, JT, Nielsen, M, Win, AK, ten Broeke, SW, van der Klift, HM, Tops, CMJ, Aretz, S, Bernstein, I, Buchanan, DD, de la Chapelle, A, Capella, G, Clendenning, M, Engel, C, Gallinger, S, Garcia, EG, Figueiredo, JC, Haile, R, Hampel, HL, van Hest, L, Hopper, JL, Hoogerbrugge, N, Doeberitz, MVK, Le Marchand, L, Letteboer, TGW, Jenkins, MA, Lindblom, A, Lindor, NM, Mensenkamp, AR, Moller, P, Newcomb, PA, van Os, TAM, Pearlman, R, Pineda, M, Rahner, N, Redeker, EJW, Olderode-Berends, MJW, Rosty, C, Schackert, HK, Scott, R, Senter, L, Spruijt, L, Steinke-Lange, V, Suerink, M, Thibodeau, S, Vos, YJ, Wagner, A, Winship, I, Hes, FJ, Vasen, HFA, Wijnen, JT, Nielsen, M, and Win, AK

Abstract

This corrects the article "Cancer Risks for PMS2-Associated Lynch Syndrome" in volume 36 on page 2961.

Published
2019

27. Ability of known susceptibility SNPs to predict colorectal cancer risk for persons with and without a family history

Author

Jenkins, MA, Win, AK, Dowty, JG, MacInnis, RJ, Makalic, E, Schmidt, DF, Dite, GS, Kapuscinski, M, Clendenning, M, Rosty, C, Winship, IM, Emery, JD, Saya, S, Macrae, FA, Ahnen, DJ, Duggan, D, Figueiredo, JC, Lindor, NM, Haile, RW, Potter, JD, Cotterchio, M, Gallinger, S, Newcomb, PA, Buchanan, DD, Casey, G, Hopper, JL, Jenkins, MA, Win, AK, Dowty, JG, MacInnis, RJ, Makalic, E, Schmidt, DF, Dite, GS, Kapuscinski, M, Clendenning, M, Rosty, C, Winship, IM, Emery, JD, Saya, S, Macrae, FA, Ahnen, DJ, Duggan, D, Figueiredo, JC, Lindor, NM, Haile, RW, Potter, JD, Cotterchio, M, Gallinger, S, Newcomb, PA, Buchanan, DD, Casey, G, and Hopper, JL

Abstract

Before SNP-based risk can be incorporated in colorectal cancer (CRC) screening, the ability of these SNPs to estimate CRC risk for persons with and without a family history of CRC, and the screening implications need to be determined. We estimated the association with CRC of a 45 SNP-based risk using 1181 cases and 999 controls, and its correlation with CRC risk predicted from detailed family history. We estimated the predicted change in the distribution across predefined risk categories, and implications for recommended screening commencement age, from adding SNP-based risk to family history. The inter-quintile risk ratio for colorectal cancer risk of the SNP-based risk was 3.28 (95% CI 2.54-4.22). SNP-based and family history-based risks were not correlated (r = 0.02). For persons with no first-degree relatives with CRC, screening could commence 4 years earlier for women (5 years for men) in the highest quintile of SNP-based risk. For persons with two first-degree relatives with CRC, screening could commence 16 years earlier for men and women in the highest quintile, and 7 years earlier for the lowest quintile. This 45 SNP panel in conjunction with family history, can identify people who could benefit from earlier screening. Risk reclassification by 45 SNPs could inform targeted screening for CRC prevention, particularly in clinical genetics settings when mutations in high-risk genes cannot be identified. Yet to be determined is cost-effectiveness, resources requirements, community, patient and clinician acceptance, and feasibility with potentially ethical, legal and insurance implications.

Published
2019

28. 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

29. 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

30. Type 2 diabetes mellitus, blood cholesterol, triglyceride and colorectal cancer risk in Lynch syndrome

Author

Dashti, SG, Li, WY, Buchanan, DD, Clendenning, M, Rosty, C, Winship, IM, Macrae, FA, Giles, GG, Hardikar, S, Hua, X, Thibodeau, SN, Figueiredo, JC, Casey, G, Haile, RW, Gallinger, S, Le Marchand, L, Newcomb, PA, Potter, JD, Lindor, NM, Hopper, JL, Jenkins, MA, Win, AK, Dashti, SG, Li, WY, Buchanan, DD, Clendenning, M, Rosty, C, Winship, IM, Macrae, FA, Giles, GG, Hardikar, S, Hua, X, Thibodeau, SN, Figueiredo, JC, Casey, G, Haile, RW, Gallinger, S, Le Marchand, L, Newcomb, PA, Potter, JD, Lindor, NM, Hopper, JL, Jenkins, MA, and Win, AK

Abstract

BACKGROUND: Type 2 diabetes mellitus and high total cholesterol and triglycerides are known to be associated with increased colorectal cancer risk for the general population. These associations are unknown for people with a germline DNA mismatch repair gene mutation (Lynch syndrome), who are at high risk of colorectal cancer. METHODS: This study included 2023 (56.4% female) carriers with a mismatch repair gene mutation (737 in MLH1, 928 in MSH2, 230 in MSH6, 106 in PMS2, 22 in EPCAM) recruited by the Colon Cancer Family Registry between 1998 and 2012. Weighted Cox regression was used to estimate the hazard ratios (HR) and 95% confidence intervals (CI) for the associations between self-reported type 2 diabetes, high cholesterol, triglyceride and colorectal cancer risk. RESULTS: Overall, 802 carriers were diagnosed with colorectal cancer at a median age of 42 years. A higher risk of colorectal cancer was observed in those with self-reported type-2 diabetes (HR 1.92; 95% CI, 1.03-3.58) and high cholesterol (HR 1.76; CI 1.23-2.52) compared with those without these conditions. There was no evidence of high triglyceride being associated with colorectal cancer risk. CONCLUSION: For people with Lynch syndrome, self-reported type-2 diabetes mellitus and high cholesterol were associated with increased colorectal cancer risk.

Published
2019

31. Cancer Risks for PMS2-Associated Lynch Syndrome

Author

ten Broeke, SW, van der Klift, HM, Tops, CMJ, Aretz, S, Bernstein, I, Buchanan, DD, de la Chapelle, A, Capella, G, Clendenning, M, Engel, C, Gallinger, S, Gomez Garcia, E, Figueiredo, JC, Haile, R, Hampel, HL, Hopper, JL, Hoogerbrugge, N, Doeberitz, MVK, Le Marchand, L, Letteboer, TGW, Jenkins, MA, Lindblom, A, Lindor, NM, Mensenkamp, AR, Moller, P, Newcomb, PA, van Os, TAM, Pearlman, R, Pineda, M, Rahner, N, Redeker, EJW, Olderode-Berends, MJW, Rosty, C, Schackert, HK, Scott, R, Senter, L, Spruijt, L, Steinke-Lange, V, Suerink, M, Thibodeau, S, Vos, YJ, Wagner, A, Winship, I, Hes, FJ, Vasen, HFA, Wijnen, JT, Nielsen, M, Win, AK, ten Broeke, SW, van der Klift, HM, Tops, CMJ, Aretz, S, Bernstein, I, Buchanan, DD, de la Chapelle, A, Capella, G, Clendenning, M, Engel, C, Gallinger, S, Gomez Garcia, E, Figueiredo, JC, Haile, R, Hampel, HL, Hopper, JL, Hoogerbrugge, N, Doeberitz, MVK, Le Marchand, L, Letteboer, TGW, Jenkins, MA, Lindblom, A, Lindor, NM, Mensenkamp, AR, Moller, P, Newcomb, PA, van Os, TAM, Pearlman, R, Pineda, M, Rahner, N, Redeker, EJW, Olderode-Berends, MJW, Rosty, C, Schackert, HK, Scott, R, Senter, L, Spruijt, L, Steinke-Lange, V, Suerink, M, Thibodeau, S, Vos, YJ, Wagner, A, Winship, I, Hes, FJ, Vasen, HFA, Wijnen, JT, Nielsen, M, and Win, AK

Abstract

PURPOSE: Lynch syndrome due to pathogenic variants in the DNA mismatch repair genes MLH1, MSH2, and MSH6 is predominantly associated with colorectal and endometrial cancer, although extracolonic cancers have been described within the Lynch tumor spectrum. However, the age-specific cumulative risk (penetrance) of these cancers is still poorly defined for PMS2-associated Lynch syndrome. Using a large data set from a worldwide collaboration, our aim was to determine accurate penetrance measures of cancers for carriers of heterozygous pathogenic PMS2 variants. METHODS: A modified segregation analysis was conducted that incorporated both genotyped and nongenotyped relatives, with conditioning for ascertainment to estimates corrected for bias. Hazard ratios (HRs) and corresponding 95% CIs were estimated for each cancer site for mutation carriers compared with the general population, followed by estimation of penetrance. RESULTS: In total, 284 families consisting of 4,878 first- and second-degree family members were included in the analysis. PMS2 mutation carriers were at increased risk for colorectal cancer (cumulative risk to age 80 years of 13% [95% CI, 7.9% to 22%] for males and 12% [95% CI, 6.7% to 21%] for females) and endometrial cancer (13% [95% CI, 7.0%-24%]), compared with the general population (6.6%, 4.7%, and 2.4%, respectively). There was no clear evidence of an increased risk of ovarian, gastric, hepatobiliary, bladder, renal, brain, breast, prostate, or small bowel cancer. CONCLUSION: Heterozygous PMS2 mutation carriers were at small increased risk for colorectal and endometrial cancer but not for any other Lynch syndrome-associated cancer. This finding justifies that PMS2-specific screening protocols could be restricted to colonoscopies. The role of risk-reducing hysterectomy and bilateral salpingo-oophorectomy for PMS2 mutation carriers needs further discussion.

Published
2018

32. Physical activity and the risk of colorectal cancer in Lynch syndrome

Author

Dashti, SG, Win, AK, Hardikar, SS, Glombicki, SE, Mallenahalli, S, Thirumurthi, S, Peterson, SK, You, YN, Buchanan, DD, Figueiredo, JC, Campbell, PT, Gallinger, S, Newcomb, PA, Potter, JD, Lindor, NM, Le Marchand, L, Haile, RW, Hopper, JL, Jenkins, MA, Basen-Engquist, KM, Lynch, PM, Pande, M, Dashti, SG, Win, AK, Hardikar, SS, Glombicki, SE, Mallenahalli, S, Thirumurthi, S, Peterson, SK, You, YN, Buchanan, DD, Figueiredo, JC, Campbell, PT, Gallinger, S, Newcomb, PA, Potter, JD, Lindor, NM, Le Marchand, L, Haile, RW, Hopper, JL, Jenkins, MA, Basen-Engquist, KM, Lynch, PM, and Pande, M

Abstract

Greater physical activity is associated with a decrease in risk of colorectal cancer for the general population; however, little is known about its relationship with colorectal cancer risk in people with Lynch syndrome, carriers of inherited pathogenic mutations in genes affecting DNA mismatch repair (MMR). We studied a cohort of 2,042 MMR gene mutations carriers (n = 807, diagnosed with colorectal cancer), from the Colon Cancer Family Registry. Self-reported physical activity in three age-periods (20-29, 30-49 and ≥50 years) was summarized as average metabolic equivalent of task hours per week (MET-hr/week) during the age-period of cancer diagnosis or censoring (near-term exposure) and across all age-periods preceding cancer diagnosis or censoring (long-term exposure). Weighted Cox regression was used to estimate the hazard ratio (HR) and 95% confidence intervals (CI) for the association between physical activity and colorectal cancer risk. Near-term physical activity was associated with a small reduction in the risk of colorectal cancer (HR ≥35 vs. <3.5 MET-hr/week, 0.71; 95% CI, 0.53-0.96). The strength and direction of associations were similar for long-term physical activity, although the associations were not nominally significant. Our results suggest that physical activity is inversely associated with the risk of colorectal cancer for people with Lynch syndrome; however, further confirmation is warranted. The potential modifying effect of physical activity on colorectal cancer risk in people with Lynch syndrome could be useful for risk prediction and support counseling advice for lifestyle modification to reduce cancer risk.

Published
2018

33. Mendelian randomisation implicates hyperlipidaemia as a risk factor for colorectal cancer

Author

Rodriguez-Broadbent, H, Law, PJ, Sud, A, Palin, K, Tuupanen, S, Gylfe, A, Hanninen, UA, Cajuso, T, Tanskanen, T, Kondelin, J, Kaasinen, E, Sarin, A-P, Ripatti, S, Eriksson, JG, Rissanen, H, Knekt, P, Pukkala, E, Jousilahti, P, Salomaa, V, Palotie, A, Renkonen-Sinisalo, L, Lepisto, A, Bohm, J, Mecklin, J-P, Al-Tassan, NA, Palles, C, Martin, L, Barclay, E, Farrington, SM, Timofeeva, MN, Meyer, BF, Wakil, SM, Campbell, H, Smith, CG, Idziaszczyk, S, Maughan, TS, Kaplan, R, Kerr, R, Kerr, D, Passarelli, MN, Figueiredo, JC, Buchanan, DD, Win, AK, Hopper, JL, Jenkins, MA, Lindor, NM, Newcomb, PA, Gallinger, S, Conti, D, Schumacher, F, Casey, G, Aaltonen, LA, Cheadle, JP, Tomlinson, IP, Dunlop, MG, Houlston, RS, Rodriguez-Broadbent, H, Law, PJ, Sud, A, Palin, K, Tuupanen, S, Gylfe, A, Hanninen, UA, Cajuso, T, Tanskanen, T, Kondelin, J, Kaasinen, E, Sarin, A-P, Ripatti, S, Eriksson, JG, Rissanen, H, Knekt, P, Pukkala, E, Jousilahti, P, Salomaa, V, Palotie, A, Renkonen-Sinisalo, L, Lepisto, A, Bohm, J, Mecklin, J-P, Al-Tassan, NA, Palles, C, Martin, L, Barclay, E, Farrington, SM, Timofeeva, MN, Meyer, BF, Wakil, SM, Campbell, H, Smith, CG, Idziaszczyk, S, Maughan, TS, Kaplan, R, Kerr, R, Kerr, D, Passarelli, MN, Figueiredo, JC, Buchanan, DD, Win, AK, Hopper, JL, Jenkins, MA, Lindor, NM, Newcomb, PA, Gallinger, S, Conti, D, Schumacher, F, Casey, G, Aaltonen, LA, Cheadle, JP, Tomlinson, IP, Dunlop, MG, and Houlston, RS

Abstract

While elevated blood cholesterol has been associated with an increased risk of colorectal cancer (CRC) in observational studies, causality is uncertain. Here we apply a Mendelian randomisation (MR) analysis to examine the potential causal relationship between lipid traits and CRC risk. We used single nucleotide polymorphisms (SNPs) associated with blood levels of total cholesterol (TC), triglyceride (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) as instrumental variables (IV). We calculated MR estimates for each risk factor with CRC using SNP-CRC associations from 9,254 cases and 18,386 controls. Genetically predicted higher TC was associated with an elevated risk of CRC (odds ratios (OR) per unit SD increase = 1.46, 95% confidence interval [CI]: 1.20-1.79, p = 1.68 × 10-4 ). The pooled ORs for LDL, HDL, and TG were 1.05 (95% CI: 0.92-1.18, p = 0.49), 0.94 (95% CI: 0.84-1.05, p = 0.27), and 0.98 (95% CI: 0.85-1.12, p = 0.75) respectively. A genetic risk score for 3-hydoxy-3-methylglutaryl-coenzyme A reductase (HMGCR) to mimic the effects of statin therapy was associated with a reduced CRC risk (OR = 0.69, 95% CI: 0.49-0.99, p = 0.046). This study supports a causal relationship between higher levels of TC with CRC risk, and a further rationale for implementing public health strategies to reduce the prevalence of hyperlipidaemia.

Published
2017

34. Long-Term Weight Loss After Colorectal Cancer Diagnosis Is Associated With Lower Survival: The Colon Cancer Family Registry

Author

Kocarnik, JM, Hua, X, Hardikar, S, Robinson, J, Lindor, NM, Win, AK, Hopper, JL, Figueiredo, JC, Potter, JD, Campbell, PT, Gallinger, S, Cotterchio, M, Adams, SV, Cohen, SA, Phipps, AI, Newcomb, PA, Kocarnik, JM, Hua, X, Hardikar, S, Robinson, J, Lindor, NM, Win, AK, Hopper, JL, Figueiredo, JC, Potter, JD, Campbell, PT, Gallinger, S, Cotterchio, M, Adams, SV, Cohen, SA, Phipps, AI, and Newcomb, PA

Published
2017

35. Pro-inflammatory fatty acid profile and colorectal cancer risk: A Mendelian randomisation analysis

Author

May-Wilson, S, Sud, A, Law, PJ, Palin, K, Tuupanen, S, Gylfe, A, Hanninen, UA, Cajuso, T, Tanskanen, T, Kondelin, J, Kaasinen, E, Sarin, A-P, Eriksson, JG, Rissanen, H, Knekt, P, Pukkala, E, Jousilahti, P, Salomaa, V, Ripatti, S, Palotie, A, Renkonen-Sinisalo, L, Lepisto, A, Bohm, J, Mecklin, J-P, Al-Tassan, NA, Palles, C, Farrington, SM, Timofeeva, MN, Meyer, BF, Wakil, SM, Campbell, H, Smith, CG, Idziaszczyk, S, Maughan, TS, Fisher, D, Kerr, R, Kerr, D, Passarelli, MN, Figueiredo, JC, Buchanan, DD, Win, AK, Hopper, JL, Jenkins, MA, Lindor, NM, Newcomb, PA, Gallinger, S, Conti, D, Schumacher, F, Casey, G, Aaltonen, LA, Cheadle, JP, Tomlinson, IP, Dunlop, MG, Houlston, RS, May-Wilson, S, Sud, A, Law, PJ, Palin, K, Tuupanen, S, Gylfe, A, Hanninen, UA, Cajuso, T, Tanskanen, T, Kondelin, J, Kaasinen, E, Sarin, A-P, Eriksson, JG, Rissanen, H, Knekt, P, Pukkala, E, Jousilahti, P, Salomaa, V, Ripatti, S, Palotie, A, Renkonen-Sinisalo, L, Lepisto, A, Bohm, J, Mecklin, J-P, Al-Tassan, NA, Palles, C, Farrington, SM, Timofeeva, MN, Meyer, BF, Wakil, SM, Campbell, H, Smith, CG, Idziaszczyk, S, Maughan, TS, Fisher, D, Kerr, R, Kerr, D, Passarelli, MN, Figueiredo, JC, Buchanan, DD, Win, AK, Hopper, JL, Jenkins, MA, Lindor, NM, Newcomb, PA, Gallinger, S, Conti, D, Schumacher, F, Casey, G, Aaltonen, LA, Cheadle, JP, Tomlinson, IP, Dunlop, MG, and Houlston, RS

Abstract

BACKGROUND: While dietary fat has been established as a risk factor for colorectal cancer (CRC), associations between fatty acids (FAs) and CRC have been inconsistent. Using Mendelian randomisation (MR), we sought to evaluate associations between polyunsaturated (PUFA), monounsaturated (MUFA) and saturated FAs (SFAs) and CRC risk. METHODS: We analysed genotype data on 9254 CRC cases and 18,386 controls of European ancestry. Externally weighted polygenic risk scores were generated and used to evaluate associations with CRC per one standard deviation increase in genetically defined plasma FA levels. RESULTS: Risk reduction was observed for oleic and palmitoleic MUFAs (OROA = 0.77, 95% CI: 0.65-0.92, P = 3.9 × 10-3; ORPOA = 0.36, 95% CI: 0.15-0.84, P = 0.018). PUFAs linoleic and arachidonic acid had negative and positive associations with CRC respectively (ORLA = 0.95, 95% CI: 0.93-0.98, P = 3.7 × 10-4; ORAA = 1.05, 95% CI: 1.02-1.07, P = 1.7 × 10-4). The SFA stearic acid was associated with increased CRC risk (ORSA = 1.17, 95% CI: 1.01-1.35, P = 0.041). CONCLUSION: Results from our analysis are broadly consistent with a pro-inflammatory FA profile having a detrimental effect in terms of CRC risk.

Published
2017

36. Prediagnostic Alcohol Consumption and Colorectal Cancer Survival: The Colon Cancer Family Registry

Author

Phipps, AI, Robinson, JR, Campbell, PT, Win, AK, Figueiredo, JC, Lindor, NM, Newcomb, PA, Phipps, AI, Robinson, JR, Campbell, PT, Win, AK, Figueiredo, JC, Lindor, NM, and Newcomb, PA

Abstract

BACKGROUND: Although previous studies have noted an increased risk of colorectal cancer (CRC) among moderate to heavy alcohol consumers in comparison with nondrinkers, the relation between alcohol consumption and CRC survival remains unclear. METHODS: Cases of incident invasive CRC diagnosed between 1997 and 2007 were identified via population-based cancer registries at 4 study sites in the Colon Cancer Family Registry. Study participants completed a risk-factor questionnaire on prediagnostic behaviors, including wine, beer, and liquor consumption, at the baseline. Prospective follow-up for survival was conducted for 4966 CRC cases. Cox regression was used to compare nondrinkers with individuals who consumed, on average, 1 or more servings of alcohol per day in the years preceding their CRC diagnosis with respect to overall and disease-specific survival. Separate analyses by beverage type, stratified by patient and tumor attributes, were also performed. All models were adjusted for the age at diagnosis, sex, study site, year of diagnosis, smoking history, body mass index, and education. RESULTS: Prediagnostic beer and liquor consumption was not associated with CRC survival; however, higher levels of wine consumption were modestly associated with a better prognosis overall (CRC-specific hazard ratio [HR], 0.70, 95% confidence interval [CI], 0.48-1.03; overall HR, 0.70; 95% CI, 0.53-0.94). Similar patterns were noted in stratified analyses. CONCLUSIONS: These findings suggest that prediagnostic wine consumption is modestly associated with more favorable survival after CRC. Cancer 2017;123:1035-43. © 2016 American Cancer Society.

Published
2017

37. Mapping freshwater snails in north-western Angola: distribution, identity and molecular diversity of medically important taxa

Author

Allan, F, Sousa-Figueiredo, JC, Emery, AM, Paulo, R, Mirante, C, Sebastião, A, Brito, M, Rollinson, D, Allan, F, Sousa-Figueiredo, JC, Emery, AM, Paulo, R, Mirante, C, Sebastião, A, Brito, M, and Rollinson, D

Abstract

This study was designed to determine the distribution and identity of potential intermediate snail hosts of Schistosoma spp. in Bengo, Luanda, Kwanza Norte and Malanje Provinces in north-western Angola. This is an area where infection with Schistosoma haematobium, causing urogenital schistosomiasis, is common but little is yet known about transmission of the disease. Angola has had a varied past with regard to disease control and is revitalising efforts to combat neglected tropical diseases.

Published
2017

38. CYP24A1 variant modifies the association between use of oestrogen plus progestogen therapy and colorectal cancer risk

Author

Garcia-Albeniz, X, Rudolph, A, Hutter, C, White, E, Lin, Y, Rosse, SA, Figueiredo, JC, Harrison, TA, Jiao, S, Brenner, H, Casey, G, Hudson, TJ, Thornquist, M, Le Marchand, L, Potter, J, Slattery, ML, Zanke, B, Baron, JA, Caan, BJ, Chanock, SJ, Berndt, SI, Stelling, D, Fuchs, CS, Hoffmeister, M, Butterbach, K, Du, M, Gauderman, WJ, Gunter, MJ, Lemire, M, Ogino, S, Lin, J, Hayes, RB, Haile, RW, Schoen, RE, SWarnick, G, Jenkins, MA, Thibodeau, SN, Schumacher, FR, Lindor, NM, Kolonel, LN, Hopper, JL, Gong, J, Seminara, D, Pflugeisen, BM, Ulrich, CM, Qu, C, Duggan, D, Cotterchio, M, Campbell, PT, Carlson, CS, Newcomb, PA, Giovannucci, E, Hsu, L, Chan, AT, Peters, U, Chang-Claude, J, Garcia-Albeniz, X, Rudolph, A, Hutter, C, White, E, Lin, Y, Rosse, SA, Figueiredo, JC, Harrison, TA, Jiao, S, Brenner, H, Casey, G, Hudson, TJ, Thornquist, M, Le Marchand, L, Potter, J, Slattery, ML, Zanke, B, Baron, JA, Caan, BJ, Chanock, SJ, Berndt, SI, Stelling, D, Fuchs, CS, Hoffmeister, M, Butterbach, K, Du, M, Gauderman, WJ, Gunter, MJ, Lemire, M, Ogino, S, Lin, J, Hayes, RB, Haile, RW, Schoen, RE, SWarnick, G, Jenkins, MA, Thibodeau, SN, Schumacher, FR, Lindor, NM, Kolonel, LN, Hopper, JL, Gong, J, Seminara, D, Pflugeisen, BM, Ulrich, CM, Qu, C, Duggan, D, Cotterchio, M, Campbell, PT, Carlson, CS, Newcomb, PA, Giovannucci, E, Hsu, L, Chan, AT, Peters, U, and Chang-Claude, J

Abstract

BACKGROUND: Menopausal hormone therapy (MHT) use has been consistently associated with a decreased risk of colorectal cancer (CRC) in women. Our aim was to use a genome-wide gene-environment interaction analysis to identify genetic modifiers of CRC risk associated with use of MHT. METHODS: We included 10 835 postmenopausal women (5419 cases and 5416 controls) from 10 studies. We evaluated use of any MHT, oestrogen-only (E-only) and combined oestrogen-progestogen (E+P) hormone preparations. To test for multiplicative interactions, we applied the empirical Bayes (EB) test as well as the Wald test in conventional case-control logistic regression as primary tests. The Cocktail test was used as secondary test. RESULTS: The EB test identified a significant interaction between rs964293 at 20q13.2/CYP24A1 and E+P (interaction OR (95% CIs)=0.61 (0.52-0.72), P=4.8 × 10(-9)). The secondary analysis also identified this interaction (Cocktail test OR=0.64 (0.52-0.78), P=1.2 × 10(-5) (alpha threshold=3.1 × 10(-4)). The ORs for association between E+P and CRC risk by rs964293 genotype were as follows: C/C, 0.96 (0.61-1.50); A/C, 0.61 (0.39-0.95) and A/A, 0.40 (0.22-0.73), respectively. CONCLUSIONS: Our results indicate that rs964293 modifies the association between E+P and CRC risk. The variant is located near CYP24A1, which encodes an enzyme involved in vitamin D metabolism. This novel finding offers additional insight into downstream pathways of CRC etiopathogenesis.

Published
2016

39. Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer

Author

Williams, SM, Gong, J, Hutter, CM, Newcomb, PA, Ulrich, CM, Bien, SA, Campbell, PT, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Du, M, Duggan, D, Figueiredo, JC, Gallinger, S, Giovannucci, EL, Haile, RW, Harrison, TA, Hayes, RB, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jeon, J, Jenkins, MA, Kocarnik, J, Kury, S, Le Marchand, L, Lin, Y, Lindor, NM, Nishihara, R, Ogino, S, Potter, JD, Rudolph, A, Schoen, RE, Schrotz-King, P, Seminara, D, Slattery, ML, Thibodeau, SN, Thornquist, M, Toth, R, Wallace, R, White, E, Jiao, S, Lemire, M, Hsu, L, Peters, U, Williams, SM, Gong, J, Hutter, CM, Newcomb, PA, Ulrich, CM, Bien, SA, Campbell, PT, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Du, M, Duggan, D, Figueiredo, JC, Gallinger, S, Giovannucci, EL, Haile, RW, Harrison, TA, Hayes, RB, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jeon, J, Jenkins, MA, Kocarnik, J, Kury, S, Le Marchand, L, Lin, Y, Lindor, NM, Nishihara, R, Ogino, S, Potter, JD, Rudolph, A, Schoen, RE, Schrotz-King, P, Seminara, D, Slattery, ML, Thibodeau, SN, Thornquist, M, Toth, R, Wallace, R, White, E, Jiao, S, Lemire, M, Hsu, L, and Peters, U

Abstract

Genome-wide association studies (GWAS) have identified many genetic susceptibility loci for colorectal cancer (CRC). However, variants in these loci explain only a small proportion of familial aggregation, and there are likely additional variants that are associated with CRC susceptibility. Genome-wide studies of gene-environment interactions may identify variants that are not detected in GWAS of marginal gene effects. To study this, we conducted a genome-wide analysis for interaction between genetic variants and alcohol consumption and cigarette smoking using data from the Colon Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Interactions were tested using logistic regression. We identified interaction between CRC risk and alcohol consumption and variants in the 9q22.32/HIATL1 (Pinteraction = 1.76×10-8; permuted p-value 3.51x10-8) region. Compared to non-/occasional drinking light to moderate alcohol consumption was associated with a lower risk of colorectal cancer among individuals with rs9409565 CT genotype (OR, 0.82 [95% CI, 0.74-0.91]; P = 2.1×10-4) and TT genotypes (OR,0.62 [95% CI, 0.51-0.75]; P = 1.3×10-6) but not associated among those with the CC genotype (p = 0.059). No genome-wide statistically significant interactions were observed for smoking. If replicated our suggestive finding of a genome-wide significant interaction between genetic variants and alcohol consumption might contribute to understanding colorectal cancer etiology and identifying subpopulations with differential susceptibility to the effect of alcohol on CRC risk.

Published
2016

40. Cholecystectomy and the risk of colorectal cancer by tumor mismatch repair deficiency status

Author

Shang, J, Reece, JC, Buchanan, DD, Giles, GG, Figueiredo, JC, Casey, G, Gallinger, S, Thibodeau, SN, Lindor, NM, Newcomb, PA, Potter, JD, Baron, JA, Hopper, JL, Jenkins, MA, Win, AK, Shang, J, Reece, JC, Buchanan, DD, Giles, GG, Figueiredo, JC, Casey, G, Gallinger, S, Thibodeau, SN, Lindor, NM, Newcomb, PA, Potter, JD, Baron, JA, Hopper, JL, Jenkins, MA, and Win, AK

Abstract

PURPOSE: Gallbladder diseases and cholecystectomy may play a role in the development of colorectal cancer (CRC). Our aim was to investigate the association between cholecystectomy and CRC risk overall and by sex, family history, anatomical location, and tumor mismatch repair (MMR) status. METHODS: This study comprised 5847 incident CRC cases recruited from population cancer registries in Australia, Canada, and the USA into the Colon Cancer Family Registry between 1997 and 2012 and 4970 controls with no personal history of CRC who were either randomly selected from the general population or were spouses of the cases. The association between cholecystectomy and CRC was estimated using logistic regression, after adjusting for confounding factors. RESULTS: Overall, there was no evidence for an association between cholecystectomy and CRC (odds ratio [OR] = 0.88, 95 % confidence interval 0.73, 1.08). In the stratified analyses, there was no evidence for a difference in the association between women and men (P = 0.54), between individuals with and without family history of CRC in first-degree relative (P = 0.64), between tumor anatomical locations (P = 0.45), or between MMR-proficient and MMR-deficient cases (P = 0.54). CONCLUSION: Cholecystectomy is not a substantial risk factor for CRC, regardless of sex, family history, anatomical location, or tumor MMR status.

Published
2016

41. Common variants in the obesity-associated genes FTO and MC4R are not associated with risk of colorectal cancer

Author

Yang, B, Thrift, AP, Figueiredo, JC, Jenkins, MA, Schumacher, FR, Conti, DV, Lin, Y, Win, AK, Limburg, PJ, Berndt, SI, Brenner, H, Chan, AT, Chang-Claude, J, Hoffmeister, M, Hudson, TJ, Le Marchand, L, Newcomb, PA, Slattery, ML, White, E, Peters, U, Casey, G, Campbell, PT, Yang, B, Thrift, AP, Figueiredo, JC, Jenkins, MA, Schumacher, FR, Conti, DV, Lin, Y, Win, AK, Limburg, PJ, Berndt, SI, Brenner, H, Chan, AT, Chang-Claude, J, Hoffmeister, M, Hudson, TJ, Le Marchand, L, Newcomb, PA, Slattery, ML, White, E, Peters, U, Casey, G, and Campbell, PT

Abstract

BACKGROUND: Obesity is a convincing risk factor for colorectal cancer. Genetic variants in or near FTO and MC4R are consistently associated with body mass index and other body size measures, but whether they are also associated with colorectal cancer risk is unclear. METHODS: In the discovery stage, we tested associations of 677 FTO and 323 MC4R single nucleotide polymorphisms (SNPs) 100kb upstream and 300kb downstream from each respective locus with risk of colorectal cancer in data from the Colon Cancer Family Registry (CCFR: 1960 cases; 1777 controls). Next, all SNPs that were nominally statistically significant (p<0.05) in the discovery stage were included in replication analyses in data from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO: 9716 cases; 9844 controls). RESULTS: In the discovery stage, 43 FTO variants and 18 MC4R variants were associated with colorectal cancer risk (p<0.05). No SNPs remained statistically significant in the replication analysis after accounting for multiple comparisons. CONCLUSION: We found no evidence that individual variants in or near the obesity-related genes FTO and MC4R are associated with risk of colorectal cancer.

Published
2016

42. 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

43. Association between Body Mass Index and Mortality for Colorectal Cancer Survivors: Overall and by Tumor Molecular Phenotype

Author

Campbell, PT, Newton, CC, Newcomb, PA, Phipps, AI, Ahnen, DJ, Baron, JA, Buchanan, DD, Casey, G, Cleary, SP, Cotterchio, M, Farris, AB, Figueiredo, JC, Gallinger, S, Green, RC, Haile, RW, Hopper, JL, Jenkins, MA, Le Marchand, L, Makar, KW, McLaughlin, JR, Potter, JD, Renehan, AG, Sinicrope, FA, Thibodeau, SN, Ulrich, CM, Win, AK, Lindor, NM, Limburg, PJ, Campbell, PT, Newton, CC, Newcomb, PA, Phipps, AI, Ahnen, DJ, Baron, JA, Buchanan, DD, Casey, G, Cleary, SP, Cotterchio, M, Farris, AB, Figueiredo, JC, Gallinger, S, Green, RC, Haile, RW, Hopper, JL, Jenkins, MA, Le Marchand, L, Makar, KW, McLaughlin, JR, Potter, JD, Renehan, AG, Sinicrope, FA, Thibodeau, SN, Ulrich, CM, Win, AK, Lindor, NM, and Limburg, PJ

Abstract

BACKGROUND: Microsatellite instability (MSI) and BRAF mutation status are associated with colorectal cancer survival, whereas the role of body mass index (BMI) is less clear. We evaluated the association between BMI and colorectal cancer survival, overall and by strata of MSI, BRAF mutation, sex, and other factors. METHODS: This study included 5,615 men and women diagnosed with invasive colorectal cancer who were followed for mortality (maximum: 14.7 years; mean: 5.9 years). Prediagnosis BMI was derived from self-reported weight approximately one year before diagnosis and height. Tumor MSI and BRAF mutation status were available for 4,131 and 4,414 persons, respectively. Multivariable hazard ratios (HR) and 95% confidence intervals (CI) were estimated from delayed-entry Cox proportional hazards models. RESULTS: In multivariable models, high prediagnosis BMI was associated with higher risk of all-cause mortality in both sexes (per 5-kg/m(2); HR, 1.10; 95% CI, 1.06-1.15), with similar associations stratified by sex (Pinteraction: 0.41), colon versus rectum (Pinteraction: 0.86), MSI status (Pinteraction: 0.84), and BRAF mutation status (Pinteraction: 0.28). In joint models, with MS-stable/MSI-low and normal BMI as the reference group, risk of death was higher for MS-stable/MSI-low and obese BMI (HR, 1.32; P value: 0.0002), not statistically significantly lower for MSI-high and normal BMI (HR, 0.86; P value: 0.29), and approximately the same for MSI-high and obese BMI (HR, 1.00; P value: 0.98). CONCLUSIONS: High prediagnosis BMI was associated with increased mortality; this association was consistent across participant subgroups, including strata of tumor molecular phenotype. IMPACT: High BMI may attenuate the survival benefit otherwise observed with MSI-high tumors.

Published
2015

44. 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

45. Association of Aspirin and NSAID Use With Risk of Colorectal Cancer According to Genetic Variants

Author

Nan, H, Hutter, CM, Lin, Y, Jacobs, EJ, Ulrich, CM, White, E, Baron, JA, Berndt, SI, Brenner, H, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Casey, G, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Duggan, D, Figueiredo, JC, Fuchs, CS, Giovannucci, EL, Gong, J, Haile, RW, Harrison, TA, Hayes, RB, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jenkins, MA, Jiao, S, Lindor, NM, Lemire, M, Le Marchand, L, Newcomb, PA, Ogino, S, Pflugeisen, BM, Potter, JD, Qu, C, Rosse, SA, Rudolph, A, Schoen, RE, Schumacher, FR, Seminara, D, Slattery, ML, Thibodeau, SN, Thomas, F, Thornquist, M, Warnick, GS, Zanke, BW, Gauderman, WJ, Peters, U, Hsu, L, Chan, AT, Nan, H, Hutter, CM, Lin, Y, Jacobs, EJ, Ulrich, CM, White, E, Baron, JA, Berndt, SI, Brenner, H, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Casey, G, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Duggan, D, Figueiredo, JC, Fuchs, CS, Giovannucci, EL, Gong, J, Haile, RW, Harrison, TA, Hayes, RB, Hoffmeister, M, Hopper, JL, Hudson, TJ, Jenkins, MA, Jiao, S, Lindor, NM, Lemire, M, Le Marchand, L, Newcomb, PA, Ogino, S, Pflugeisen, BM, Potter, JD, Qu, C, Rosse, SA, Rudolph, A, Schoen, RE, Schumacher, FR, Seminara, D, Slattery, ML, Thibodeau, SN, Thomas, F, Thornquist, M, Warnick, GS, Zanke, BW, Gauderman, WJ, Peters, U, Hsu, L, and Chan, AT

Abstract

IMPORTANCE: Use of aspirin and other nonsteroidal anti-inflammatory drugs (NSAIDs) is associated with lower risk of colorectal cancer. OBJECTIVE: To identify common genetic markers that may confer differential benefit from aspirin or NSAID chemoprevention, we tested gene × environment interactions between regular use of aspirin and/or NSAIDs and single-nucleotide polymorphisms (SNPs) in relation to risk of colorectal cancer. DESIGN, SETTING, AND PARTICIPANTS: Case-control study using data from 5 case-control and 5 cohort studies initiated between 1976 and 2003 across the United States, Canada, Australia, and Germany and including colorectal cancer cases (n=8634) and matched controls (n=8553) ascertained between 1976 and 2011. Participants were all of European descent. EXPOSURES: Genome-wide SNP data and information on regular use of aspirin and/or NSAIDs and other risk factors. MAIN OUTCOMES AND MEASURES: Colorectal cancer. RESULTS: Regular use of aspirin and/or NSAIDs was associated with lower risk of colorectal cancer (prevalence, 28% vs 38%; odds ratio [OR], 0.69 [95% CI, 0.64-0.74]; P = 6.2 × 10(-28)) compared with nonregular use. In the conventional logistic regression analysis, the SNP rs2965667 at chromosome 12p12.3 near the MGST1 gene showed a genome-wide significant interaction with aspirin and/or NSAID use (P = 4.6 × 10(-9) for interaction). Aspirin and/or NSAID use was associated with a lower risk of colorectal cancer among individuals with rs2965667-TT genotype (prevalence, 28% vs 38%; OR, 0.66 [95% CI, 0.61-0.70]; P = 7.7 × 10(-33)) but with a higher risk among those with rare (4%) TA or AA genotypes (prevalence, 35% vs 29%; OR, 1.89 [95% CI, 1.27-2.81]; P = .002). In case-only interaction analysis, the SNP rs16973225 at chromosome 15q25.2 near the IL16 gene showed a genome-wide significant interaction with use of aspirin and/or NSAIDs (P = 8.2 × 10(-9) for interaction). Regular use was associated with a lower risk of colorectal cancer among individuals

Published
2015

46. The urine circulating cathodic antigen (CCA) dipstick: a valid substitute for microscopy for mapping and point-of-care diagnosis of intestinal schistosomiasis

Author

Sousa-Figueiredo, JC, Betson, M, Kabatereine, NB, and Stothard, JR

Subjects
qx_200, qy_160, parasitic diseases, wc_810, qy_185, wa_243
Abstract

BACKGROUND\ud \ud The World Health Organization now recommends the provision of praziquantel treatment to preschool-aged children infected with schistosomiasis. For intestinal schistosomiasis the current operational field diagnostic standard is examination of a thick Kato-Katz smear by microscopy prepared from a single stool specimen, and although pragmatic, this methodology has well-known shortcomings. Here, as a potential alternative, the performance of the urine circulating cathodic antigen (CCA) dipstick test was assessed in terms of disease-mapping and point-of-care diagnosis for intestinal schistosomiasis in preschool-aged children. Our manuscript reports on findings at baseline and at the end of a one-year longitudinal treatment study.\ud \ud METHODOLOGY/PRINCIPAL FINDINGS\ud \ud A total of 925 children (mean age 2.8 years) were initially recruited from six lakeshore villages representative of high, moderate and low levels of disease transmission. At baseline, all children were tested for intestinal schistosomiasis by microscopic examination of duplicate Kato-Katz smears prepared from a single stool faecal, by antigen detection with the urine CCA dipstick test and by serology with a commercially available ELISA test (as 'gold-standard') that measures host antibody titres to soluble egg antigens. As a point-of-care diagnosis, the urine CCA dipstick test achieved sensitivity and specificity values ranging from 52.5-63.2% and 57.7-75.6%, respectively, with faecal microscopy achieving very high specificities (>87%) but sensitivities as low as 16.7% in the low transmission setting.\ud \ud CONCLUSION/SIGNIFICANCE\ud \ud The urine CCA test was shown to be more effective than faecal microscopy especially in lower transmission settings. The diagnostic performance of this test was not significantly impacted by treatment history or co-infections with other intestinal helminths.

Published
2013

47. Genetic Variation in UGT Genes Modify the Associations of NSAIDs with Risk of Colorectal Cancer: Colon Cancer Family Registry

Author

Scherer, D, Koepl, LM, Poole, EM, Balavarca, Y, Xiao, L, Baron, JA, Hsu, L, Coghill, AE, Campbell, PT, Kleinstein, SE, Figueiredo, JC, Lampe, JW, Buck, K, Potter, JD, Kulmacz, RJ, Jenkins, MA, Hopper, JL, Win, AK, Newcomb, PA, Ulrich, CM, Makar, KW, Scherer, D, Koepl, LM, Poole, EM, Balavarca, Y, Xiao, L, Baron, JA, Hsu, L, Coghill, AE, Campbell, PT, Kleinstein, SE, Figueiredo, JC, Lampe, JW, Buck, K, Potter, JD, Kulmacz, RJ, Jenkins, MA, Hopper, JL, Win, AK, Newcomb, PA, Ulrich, CM, and Makar, KW

Abstract

The use of non-steroidal anti-inflammatory drugs (NSAIDs) is associated with reduced risk of colorectal neoplasia. Previous studies have reported that polymorphisms in NSAID-metabolizing enzymes central to NSAID metabolism including UDP-glucuronosyltransferases (UGT) and cytochrome P450 (CYP) 2C9 may modify this protective effect. We investigated whether 35 functionally relevant polymorphisms within CYP2C9 and UGT genes were associated with colorectal cancer risk or modified the protective effect of NSAIDs on colorectal cancer susceptibility, using 1,584 colorectal cancer cases and 2,516 unaffected sibling controls from the Colon Cancer Family Registry. A three-SNP genotype in UGT1A6 (G-A-A; Ala7-Thr181-Arg184) and the Asp85 variant in UGT2B15 increased the risk of colorectal cancer (OR 3.87; 95% CI 1.04-14.45 and OR 1.34; 95% CI 1.10-1.63, respectively). We observed interactions between UGT1A3 Thr78Thr (A>G) and NSAID use (P-interaction = 0.02), a three-SNP genotype within UGT2B4 and ibuprofen use (P-interaction = 0.0018), as well as UGT2B15 Tyr85Asp (T>G) and aspirin use (P-interaction = 0.01). The interaction with the UGT2B4 and the UGT2B15 polymorphisms were noteworthy at the 25% FDR level. This study highlights the need for further pharmacogenetic studies to identify individuals who might benefit from NSAID use as part of developing effective strategies for prevention of colorectal neoplasia. © 2014 Wiley Periodicals, Inc.

Published
2014

48. Genome-Wide Diet-Gene Interaction Analyses for Risk of Colorectal Cancer

Author

Amos, CI, Figueiredo, JC, Hsu, L, Hutter, CM, Lin, Y, Campbell, PT, Baron, JA, Berndt, SI, Jiao, S, Casey, G, Fortini, B, Chan, AT, Cotterchio, M, Lemire, M, Gallinger, S, Harrison, TA, Le Marchand, L, Newcomb, PA, Slattery, ML, Caan, BJ, Carlson, CS, Zanke, BW, Rosse, SA, Brenner, H, Giovannucci, EL, Wu, K, Chang-Claude, J, Chanock, SJ, Curtis, KR, Duggan, D, Gong, J, Haile, RW, Hayes, RB, Hoffmeister, M, Hopper, JL, Jenkins, MA, Kolonel, LN, Qu, C, Rudolph, A, Schoen, RE, Schumacher, FR, Seminara, D, Stelling, DL, Thibodeau, SN, Thornquist, M, Warnick, GS, Henderson, BE, Ulrich, C, Gauderman, WJ, Potter, JD, White, E, Peters, U, Amos, CI, Figueiredo, JC, Hsu, L, Hutter, CM, Lin, Y, Campbell, PT, Baron, JA, Berndt, SI, Jiao, S, Casey, G, Fortini, B, Chan, AT, Cotterchio, M, Lemire, M, Gallinger, S, Harrison, TA, Le Marchand, L, Newcomb, PA, Slattery, ML, Caan, BJ, Carlson, CS, Zanke, BW, Rosse, SA, Brenner, H, Giovannucci, EL, Wu, K, Chang-Claude, J, Chanock, SJ, Curtis, KR, Duggan, D, Gong, J, Haile, RW, Hayes, RB, Hoffmeister, M, Hopper, JL, Jenkins, MA, Kolonel, LN, Qu, C, Rudolph, A, Schoen, RE, Schumacher, FR, Seminara, D, Stelling, DL, Thibodeau, SN, Thornquist, M, Warnick, GS, Henderson, BE, Ulrich, C, Gauderman, WJ, Potter, JD, White, E, and Peters, U

Abstract

Dietary factors, including meat, fruits, vegetables and fiber, are associated with colorectal cancer; however, there is limited information as to whether these dietary factors interact with genetic variants to modify risk of colorectal cancer. We tested interactions between these dietary factors and approximately 2.7 million genetic variants for colorectal cancer risk among 9,287 cases and 9,117 controls from ten studies. We used logistic regression to investigate multiplicative gene-diet interactions, as well as our recently developed Cocktail method that involves a screening step based on marginal associations and gene-diet correlations and a testing step for multiplicative interactions, while correcting for multiple testing using weighted hypothesis testing. Per quartile increment in the intake of red and processed meat were associated with statistically significant increased risks of colorectal cancer and vegetable, fruit and fiber intake with lower risks. From the case-control analysis, we detected a significant interaction between rs4143094 (10p14/near GATA3) and processed meat consumption (OR = 1.17; p = 8.7E-09), which was consistently observed across studies (p heterogeneity = 0.78). The risk of colorectal cancer associated with processed meat was increased among individuals with the rs4143094-TG and -TT genotypes (OR = 1.20 and OR = 1.39, respectively) and null among those with the GG genotype (OR = 1.03). Our results identify a novel gene-diet interaction with processed meat for colorectal cancer, highlighting that diet may modify the effect of genetic variants on disease risk, which may have important implications for prevention.

Published
2014

49. Genome-Wide Diet-Gene Interaction Analyses for Risk of Colorectal Cancer

Author

Figueiredo, JC, Hsu, L, Hutter, CM, Lin, Y, Campbell, PT, Baron, JA, Berndt, SI, Jiao, S, Casey, G, Fortini, B, Chan, AT, Cotterchio, M, Lemire, M, Gallinger, S, Harrison, TA, Le Marchand, L, Newcomb, PA, Slattery, ML, Caan, BJ, Carlson, CS, Zanke, BW, Rosse, SA, Brenner, H, Giovannucci, EL, Wu, K, Chang-Claude, J, Chanock, SJ, Curtis, KR, Duggan, D, Gong, J, Haile, RW, Hayes, RB, Hoffmeister, M, Hopper, JL, Jenkins, MA, Kolonel, LN, Qu, C, Rudolph, A, Schoen, RE, Schumacher, FR, Seminara, D, Stelling, DL, Thibodeau, SN, Thornquist, M, Warnick, GS, Henderson, BE, Ulrich, CM, Gauderman, WJ, Potter, JD, White, E, Peters, U, Figueiredo, JC, Hsu, L, Hutter, CM, Lin, Y, Campbell, PT, Baron, JA, Berndt, SI, Jiao, S, Casey, G, Fortini, B, Chan, AT, Cotterchio, M, Lemire, M, Gallinger, S, Harrison, TA, Le Marchand, L, Newcomb, PA, Slattery, ML, Caan, BJ, Carlson, CS, Zanke, BW, Rosse, SA, Brenner, H, Giovannucci, EL, Wu, K, Chang-Claude, J, Chanock, SJ, Curtis, KR, Duggan, D, Gong, J, Haile, RW, Hayes, RB, Hoffmeister, M, Hopper, JL, Jenkins, MA, Kolonel, LN, Qu, C, Rudolph, A, Schoen, RE, Schumacher, FR, Seminara, D, Stelling, DL, Thibodeau, SN, Thornquist, M, Warnick, GS, Henderson, BE, Ulrich, CM, Gauderman, WJ, Potter, JD, White, E, and Peters, U

Abstract

Dietary factors, including meat, fruits, vegetables and fiber, are associated with colorectal cancer; however, there is limited information as to whether these dietary factors interact with genetic variants to modify risk of colorectal cancer. We tested interactions between these dietary factors and approximately 2.7 million genetic variants for colorectal cancer risk among 9,287 cases and 9,117 controls from ten studies. We used logistic regression to investigate multiplicative gene-diet interactions, as well as our recently developed Cocktail method that involves a screening step based on marginal associations and gene-diet correlations and a testing step for multiplicative interactions, while correcting for multiple testing using weighted hypothesis testing. Per quartile increment in the intake of red and processed meat were associated with statistically significant increased risks of colorectal cancer and vegetable, fruit and fiber intake with lower risks. From the case-control analysis, we detected a significant interaction between rs4143094 (10p14/near GATA3) and processed meat consumption (OR = 1.17; p = 8.7E-09), which was consistently observed across studies (p heterogeneity = 0.78). The risk of colorectal cancer associated with processed meat was increased among individuals with the rs4143094-TG and -TT genotypes (OR = 1.20 and OR = 1.39, respectively) and null among those with the GG genotype (OR = 1.03). Our results identify a novel gene-diet interaction with processed meat for colorectal cancer, highlighting that diet may modify the effect of genetic variants on disease risk, which may have important implications for prevention. © 2014.

Published
2014

50. Schistosoma mansoni Infections in young children: when are schistosome antigens in urine, eggs in stool and antibodies to eggs first detectable?

Author

Stothard, JR, Sousa-Figueiredo, JC, Betson, M, Adriko, M, Arinaitwe, M, Rowell, C, Besiyge, F, Kabatereine, NB, Stothard, JR, Sousa-Figueiredo, JC, Betson, M, Adriko, M, Arinaitwe, M, Rowell, C, Besiyge, F, and Kabatereine, NB

Abstract

BACKGROUND: in uganda, control of intestinal schistosomiasis with preventive chemotherapy is typically focused towards treatment of school-aged children; the needs of younger children are presently being investigated as in lakeshore communities very young children can be infected. In the context of future epidemiological monitoring, we sought to compare the detection thresholds of available diagnostic tools for Schistosoma mansoni and estimate a likely age of first infection for these children. METHODS AND FINDINGS: a total of 242 infants and preschool children (134 boys and 108 girls, mean age 2.9 years, minimum 5 months and maximum 5 years) were examined from Bugoigo, a well-known disease endemic village on Lake Albert. Schistosome antigens in urine, eggs in stool and host antibodies to eggs were inspected to reveal a general prevalence of 47.5% (CI(95) 41.1-54.0%), as ascertained by a positive criterion from at least one diagnostic method. Although children as young as 6 months old could be found infected, the average age of infected children was between 3¼-3¾ years, when diagnostic techniques became broadly congruent. CONCLUSION: whilst different assays have particular (dis)advantages, direct detection of eggs in stool was least sensitive having a temporal lag behind antigen and antibody methods. Setting precisely a general age of first infection is problematic but if present Ugandan policies continue, a large proportion of infected children could wait up to 3-4 years before receiving first medication. To better tailor treatment needs for this younger ageclass, we suggest that the circulating cathodic antigen urine dipstick method to be used as an epidemiological indicator.

Published
2011

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