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1. Genome-wide gene⇓diabetes and gene⇓obesity interaction scan in 8,255 cases and 11,900 controls from panscan and PanC4 consortia

Author

Tang, H. Jiang, L. Stolzenberg-Solomon, R.Z. Arslan, A.A. Beane Freeman, L.E. Bracci, P.M. Brennan, P. Canzian, F. Du, M. Gallinger, S. Giles, G.G. Goodman, P.J. Kooperberg, C. Le Marchand, L. Neale, R.E. Shu, X.-O. Visvanathan, K. White, E. Zheng, W. Albanes, D. Andreotti, G. Babic, A. Bamlet, W.R. Berndt, S.I. Blackford, A. Bueno-De-Mesquita, B. Buring, J.E. Campa, D. Chanock, S.J. Childs, E. Duell, E.J. Fuchs, C. Michael Gaziano, J. Goggins, M. Hartge, P. Hassam, M.H. Holly, E.A. Hoover, R.N. Hung, R.J. Kurtz, R.C. Lee, I.-M. Malats, N. Milne, R.L. Ng, K. Oberg, A.L. Orlow, I. Peters, U. Porta, M. Rabe, K.G. Rothman, N. Scelo, G. Sesso, H.D. Silverman, D.T. Thompson, I.M. Tjønneland, A. Trichopoulou, A. Wactawski-Wende, J. Wentzensen, N. Wilkens, L.R. Yu, H. Zeleniuch-Jacquotte, A. Amundadottir, L.T. Jacobs, E.J. Petersen, G.M. Wolpin, B.M. Risch, H.A. Chatterjee, N. Klein, A.P. Li, D. Kraft, P. Wei, P.

Abstract

Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 106) was observed in the meta-analysis (PGxE ¼ 1.2 106, PJoint ¼ 4.2 107). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer. © 2020 American Association for Cancer Research.

Published
2020

2. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer

Author

Klein, A.P. Wolpin, B.M. Risch, H.A. Stolzenberg-Solomon, R.Z. Mocci, E. Zhang, M. Canzian, F. Childs, E.J. Hoskins, J.W. Jermusyk, A. Zhong, J. Chen, F. Albanes, D. Andreotti, G. Arslan, A.A. Babic, A. Bamlet, W.R. Beane-Freeman, L. Berndt, S.I. Blackford, A. Borges, M. Borgida, A. Bracci, P.M. Brais, L. Brennan, P. Brenner, H. Bueno-De-Mesquita, B. Buring, J. Campa, D. Capurso, G. Cavestro, G.M. Chaffee, K.G. Chung, C.C. Cleary, S. Cotterchio, M. Dijk, F. Duell, E.J. Foretova, L. Fuchs, C. Funel, N. Gallinger, S. Gaziano, J.M.M. Gazouli, M. Giles, G.G. Giovannucci, E. Goggins, M. Goodman, G.E. Goodman, P.J. Hackert, T. Haiman, C. Hartge, P. Hasan, M. Hegyi, P. Helzlsouer, K.J. Herman, J. Holcatova, I. Holly, E.A. Hoover, R. Hung, R.J. Jacobs, E.J. Jamroziak, K. Janout, V. Kaaks, R. Khaw, K.-T. Klein, E.A. Kogevinas, M. Kooperberg, C. Kulke, M.H. Kupcinskas, J. Kurtz, R.J. Laheru, D. Landi, S. Lawlor, R.T. Lee, I.-M. Lemarchand, L. Lu, L. Malats, N. Mambrini, A. Mannisto, S. Milne, R.L. Mohelníková-Duchoňová, B. Neale, R.E. Neoptolemos, J.P. Oberg, A.L. Olson, S.H. Orlow, I. Pasquali, C. Patel, A.V. Peters, U. Pezzilli, R. Porta, M. Real, F.X. Rothman, N. Scelo, G. Sesso, H.D. Severi, G. Shu, X.-O. Silverman, D. Smith, J.P. Soucek, P. Sund, M. Talar-Wojnarowska, R. Tavano, F. Thornquist, M.D. Tobias, G.S. Van Den Eeden, S.K. Vashist, Y. Visvanathan, K. Vodicka, P. Wactawski-Wende, J. Wang, Z. Wentzensen, N. White, E. Yu, H. Yu, K. Zeleniuch-Jacquotte, A. Zheng, W. Kraft, P. Li, D. Chanock, S. Obazee, O. Petersen, G.M. Amundadottir, L.T.

Abstract

In 2020, 146,063 deaths due to pancreatic cancer are estimated to occur in Europe and the United States combined. To identify common susceptibility alleles, we performed the largest pancreatic cancer GWAS to date, including 9040 patients and 12,496 controls of European ancestry from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4). Here, we find significant evidence of a novel association at rs78417682 (7p12/TNS3, P = 4.35 × 10-8). Replication of 10 promising signals in up to 2737 patients and 4752 controls from the PANcreatic Disease ReseArch (PANDoRA) consortium yields new genome-wide significant loci: Rs13303010 at 1p36.33 (NOC2L, P = 8.36 × 10-14), rs2941471 at 8q21.11 (HNF4G, P = 6.60 × 10-10), rs4795218 at 17q12 (HNF1B, P = 1.32 × 10-8), and rs1517037 at 18q21.32 (GRP, P = 3.28 × 10-8). rs78417682 is not statistically significantly associated with pancreatic cancer in PANDoRA. Expression quantitative trait locus analysis in three independent pancreatic data sets provides molecular support of NOC2L as a pancreatic cancer susceptibility gene. © 2018 The Author(s).

Published
2018

3. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome

Author

Lu, L. (Lingeng), Lissowska, J. (Jolanta), Liu, J. (Jianjun), Lin, D. (Dongxin), Liao, L. (Linda), Liang, X. (Xiaolin), Li, D. (Donghui), Le-Marchand, L. (Loic), Landi, M.T. (María Teresa), Lan, Q. (Qing), LaCroix, A. (Andrea), Kurtz, R.C. (Robert C.), Krogh, V. (Vittorio), Kraft, P. (Peter), Kooperberg, C. (Charles), Kolonel, L.N. (Laurence N.), Koh, W.P. (Woon-Puay), Klein, R. (Robert), Klein, A.P. (Alison P.), Kim, Y.T. (Young Tae), Kim, Y.H. (Yeul Hong), Kim, H.N. (Hee Nam), Khaw, K.T. (Kay-Tee), Johansen, C. (Christoffer), Jenab, M. (Mazda), Hutchinson, A. (Amy), Hunter, D.J. (David J.), Hu, W. (Wei), Hu, N. (Nan), Hsiung, C.A. (Chao A.), Hoover, R.N. (Robert N.), Hong, Y.C. (Yun-Chul), Holly, E.A. (Elizabeth A.), Henriksson, R. (Roger), Harris, C.C. (Curtis C.), Hankinson, S.E. (Susan E.), Hallmans, G. (Goran), Haiman, C.A. (Christopher A.), Goldstein, A.M. (Alisa M.), Goldin, L. (Lynn), Giovannucci, E.L. (Edward L.), Gillanders, E.M. (Elizabeth M.), Giles, G.G. (Graham G.), Gaziano, J.M. (J. Michael), Gaudet, M.M. (Mia M.), Garcia-Closas, M. (Montserrat), Gapstur, S.M. (Susan M.), Gao, Y.T. (Yu-Tang), Gallinger, S. (Steven), Fuchs, C.S. (Charles S.), Friedenreich, C.M. (Christine M.), Fraumeni, J.F. (Joseph F.), Figueroa, J.D. (Jonine D.), Fan, J.H. (Jin-Hu), Epstein, C.G. (Caroline G.), Duell, E.J. (Eric J.), Doherty, J. (Jennifer), Ding, T. (Ti), De Vivo, I. (Immaculata), Davis, F.G. (Faith G.), Cullen, M. (Michael), Crous Bou, M. (Marta), Cook, L.S. (Linda S.), Chung, C.C. (Charles C.), Chen, K. (Kexin), Chen, C. (Constance), Chen, C. (Chu), Chatterjee, N. (Nilanjan), Chang, I.S. ( I-Shou), Chaffee, K.G. (Kari G.), Carreon, T. (Tania), Canzian, F. (Federico), Butler, M.A. (Mary A.), Buring, J.E. (Julie E.), Burdett, L. (Laurie), Bueno-de-Mesquita, H.B. (H. Bas), Brinton, L.A. (Louise A.), Bracci, P.M. (Paige M.), Bock, C.H. (Cathryn H.), Blot, W.J. (William J.), Black, A. (Amanda), Berndt, S.I. (Sonja I.), Chanock, S.J. (Stephen J.), Yeager, M. (Meredith), Dean, M.C. (Michael C.), Tucker, M. (Margaret), Rothman, N. (Nathaniel), Caporaso, N.E. (Neil E.), Perez-Jurado, L.A. (Luis A.), Beane-Freeman, L.E. (Laura E.), Ziegler, R.G. (Regina G.), Zhou, B. (Baosen), Zheng, W. (Wei), Zeleniuch-Jacquotte, A. (Anne), Zanetti, K.A. (Krista A.), Yu, K. (Kai), Yang, P.C. (Pan-Chyr), Yang, H.P. (Hannah P.), Xia, L. (Lucy), Wunder, J.S. (Jay S.), Arslan, A.A. (Alan A.), Wu, Y.L. (Yi-Long), Wu, Y.Q. (Yan Q.), Wu, T. (Tangchun), Wu, C. (Chen), Wong, M.P. (Maria Pik), Wolpin, B.M. (Brian M.), Wiencke, J.K. (John K.), White, E. (Emily), Wheeler, W. (William), Wentzensen, N. (Nicolas), Amundadottir, L. (Laufey), Wang, Z. (Zhaoming), Wang, J.C. (Jiu-Cun), Wacholder, S. (Sholom), Visvanathan, K. (Kala), Van Den Berg, D. (David), Tobias, G.S. (Geoffrey S.), Teras, L.R. (Lauren R.), Taylor, P.R. (Philip R.), Tang, Z.Z. (Ze-Zhong), Stram, D. (Daniel), Amos, C. (Christopher), Stolzenberg-Solomon, R.Z. (Rachael Z.), Stevens, V.L. (Victoria L.), Spitz, M.R. (Margaret R.), Silverman, D.T. (Debra T.), Shu, X.O. (Xiao-Ou), Shin, M.H. (Min-Ho), Sheng, X. (Xin), Shen, H. (Hongbing), Severi, G. (Gianluca), Setiawan, V.W. (Veronica Wendy), Aldrich, M.C. (Melinda C.), Seow, A. (Adeline), Schwartz, K.L. (Kendra L.), Schwartz, A.G. (Ann G.), Schumacher, F. (Fredrick), Savage, S.A. (Sharon A.), Ruder, A.M. (Avima M.), Rodriguez-Santiago, B. (Benjamin), Risch, H.A. (Harvey A.), Riboli, E. (Elio), Real, F.X. (Francisco X.), Abnet, C.C. (Christian C.), Rajaraman, P. (Preetha), Qiao, Y.L. (You-Lin), Purdue, M. (Mark), Prokunina-Olsson, L. (Ludmila), Prescott, J. (Jennifer), Pooler, L. (Loreall), Petersen, G. (Gloria), Peters, U. (Ulrike), Peplonska, B. (Beata), Park, J.Y. (Jae Yong), Jacobs, K. (Kevin), Orlow, I. (Irene), Olson, S.H. (Sara H.), Moore, L.E. (Lee E.), Mirabello, L. (Lisa), Melin, B.S. (Beatrice S.), McWilliams, R.R. (Robert R.), McNeill, L.H. (Lorna H.), Matsuo, K. (Keitaro), Malats, N. (Nuria), Magliocco, A.M. (Anthony M.), Hautman, C. (Christopher), Dagnall, C. (Casey), Hicks, B. (Belynda), Yang, Q. (Qi), Freedman, N.D. (Neal D.), Sampson, J. (Joshua), Karlins, E. (Eric), Zhou, W. (Weiyin), Mitchell, J.M. (J. Machiela), Machiela, M.J. (Mitchell J.), and Patiño-García, A. (Ana)

Subjects
Chromosome X, Age-related
Abstract

To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events42Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases.

Published
2016

4. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21

Author

Zhang, M. Wang, Z. Obazee, O. Jia, J. Childs, E.J. Hoskins, J. Figlioli, G. Mocci, E. Collins, I. Chung, C.C. Hautman, C. Arslan, A.A. Beane-Freeman, L. Bracci, P.M. Buring, J. Duell, E.J. Gallinger, S. Giles, G.G. Goodman, G.E. Goodman, P.J. Kamineni, A. Kolonel, L.N. Kulke, M.H. Malats, N. Olson, S.H. Sesso, H.D. Visvanathan, K. White, E. Zheng, W. Abnet, C.C. Albanes, D. Andreotti, G. Brais, L. Bas Bueno-de-Mesquita, H. Basso, D. Berndt, S.I. Boutron-Ruault, M.-C. Bijlsma, M.F. Brenner, H. Burdette, L. Campa, D. Caporaso, N.E. Capurso, G. Cavestro, G.M. Cotterchio, M. Costello, E. Elena, J. Boggi, U. Michael Gaziano, J. Gazouli, M. Giovannucci, E.L. Goggins, M. Gross, M. Haiman, C.A. Hassan, M. Helzlsouer, K.J. Hu, N. Hunter, D.J. Iskierka-Jazdzewska, E. Jenab, M. Kaaks, R. Key, T.J. Khaw, K.-T. Klein, E.A. Kogevinas, M. Krogh, V. Kupcinskas, J. Kurtz, R.C. Landi, M.T. Landi, S. Marchand, L.L. Mambrini, A. Mannisto, S. Milne, R.L. Neale, R.E. Oberg, A.L. Panico, S. Patel, A.V. Peeters, P.H.M. Peters, U. Pezzilli, R. Porta, M. Purdue, M. Ramón Quiros, J. Riboli, E. Rothman, N. Scarpa, A. Scelo, G. Shu, X.-O. Silverman, D.T. Soucek, P. Strobel, O. Sund, M. Malecka-Panas, E. Taylor, P.R. Tavano, F. Travis, R.C. Thornquist, M. Tjønneland, A. Tobias, G.S. Trichopoulos, D. Vashist, Y. Vodicka, P. Wactawski-Wende, J. Wentzensen, N. Yu, H. Yu, K. Zeleniuch-Jacquotte, A. Kooperberg, C. Risch, H.A. Jacobs, E.J. Li, D. Fuchs, C. Hoover, R. Hartge, P. Chanock, S.J. Petersen, G.M. Stolzenberg-Solomon, R.S. Wolpin, B.M. Kraft, P. Klein, A.P. Canzian, F. Amundadottir, L.T.

Abstract

Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10-15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10-9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10-8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 (NR5A2), chr8q24.21 (MYC) and chr5p15.33 (CLPTM1L-TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal (n = 10) and tumor (n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10-8). This finding was validated in a second set of paired (n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10-4-2.0x10-3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.

Published
2016

5. Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer

Author

Childs, E.J. Mocci, E. Campa, D. Bracci, P.M. Gallinger, S. Goggins, M. Li, D. Neale, R.E. Olson, S.H. Scelo, G. Amundadottir, L.T. Bamlet, W.R. Bijlsma, M.F. Blackford, A. Borges, M. Brennan, P. Brenner, H. Bueno-De-Mesquita, H.B. Canzian, F. Capurso, G. Cavestro, G.M. Chaffee, K.G. Chanock, S.J. Cleary, S.P. Cotterchio, M. Foretova, L. Fuchs, C. Funel, N. Gazouli, M. Hassan, M. Herman, J.M. Holcatova, I. Holly, E.A. Hoover, R.N. Hung, R.J. Janout, V. Key, T.J. Kupcinskas, J. Kurtz, R.C. Landi, S. Lu, L. Malecka-Panas, E. Mambrini, A. Mohelnikova-Duchonova, B. Neoptolemos, J.P. Oberg, A.L. Orlow, I. Pasquali, C. Pezzilli, R. Rizzato, C. Saldia, A. Scarpa, A. Stolzenberg-Solomon, R.Z. Strobel, O. Tavano, F. Vashist, Y.K. Vodicka, P. Wolpin, B.M. Yu, H. Petersen, G.M. Risch, H.A. Klein, A.P.

Abstract

Pancreatic cancer is the fourth leading cause of cancer death in the developed world. Both inherited high-penetrance mutations in BRCA2 (ref. 2), ATM, PALB2 (ref. 4), BRCA1 (ref. 5), STK11 (ref. 6), CDKN2A and mismatch-repair genes and low-penetrance loci are associated with increased risk. To identify new risk loci, we performed a genome-wide association study on 9,925 pancreatic cancer cases and 11,569 controls, including 4,164 newly genotyped cases and 3,792 controls in 9 studies from North America, Central Europe and Australia. We identified three newly associated regions: 17q25.1 (LINC00673, rs11655237, odds ratio (OR) = 1.26, 95% confidence interval (CI) = 1.19-1.34, P = 1.42 × 10-14), 7p13 (SUGCT, rs17688601, OR = 0.88, 95% CI = 0.84-0.92, P = 1.41 × 10-8) and 3q29 (TP63, rs9854771, OR = 0.89, 95% CI = 0.85-0.93, P = 2.35 × 10-8). We detected significant association at 2p13.3 (ETAA1, rs1486134, OR = 1.14, 95% CI = 1.09-1.19, P = 3.36 × 10-9), a region with previous suggestive evidence in Han Chinese. We replicated previously reported associations at 9q34.2 (ABO), 13q22.1 (KLF5), 5p15.33 (TERT and CLPTM1), 13q12.2 (PDX1), 1q32.1 (NR5A2), 7q32.3 (LINC-PINT), 16q23.1 (BCAR1) and 22q12.1 (ZNRF3). Our study identifies new loci associated with pancreatic cancer risk. © 2015 Nature America, Inc. All rights reserved.

Published
2015

6. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

Author

Hidemi Ito, Stephen K. Van Den Eeden, Abdisamad M. Ibrahim, Ching C. Lau, Preetha Rajaraman, Gloria M. Petersen, Judith Hoffman-Bolton, Colin P.N. Dinney, Chang Hyun Kang, Melinda C. Aldrich, Mark P. Purdue, Xiao-Ou Shu, William J. Blot, Sanjay Shete, Alpa V. Patel, Charles Kooperberg, Paolo Vineis, David Van Den Berg, Chao A. Hsiung, Anthony J. Swerdlow, Qing Lan, Wu Chou Su, Afshan Siddiq, Ulrike Peters, Katia Scotlandi, Sara H. Olson, Kendra Schwartz, Kelly L. Bolton, Chancellor Hohensee, Josep Lloreta, Kevin B. Jacobs, Debra T. Silverman, Rudolf Kaaks, Wei Zheng, Steven Gallinger, Junwen Wang, Angela Carta, Massimo Serra, Petra H.M. Peeters, Victoria L. Stevens, Yasushi Yatabe, Geraldine Cancel-Tassin, Joshua N. Sampson, Young Tae Kim, Graham A. Colditz, Pan-Chyr Yang, Baosen Zhou, Fredrick R. Schumacher, Nicolas Wentzensen, Evelyn Tay, Claudia Maria Hattinger, Chen Wu, Pilar Amiano, Mattias Johansson, Maxwell P. Lee, Christian P. Kratz, Michael B. Cook, Mingfeng Zhang, Kay-Tee Khaw, Jian-Min Yuan, Anne Zeleniuch-Jacquotte, Jinping Jia, Roberto Tirabosco, Jing Ma, Neil E. Caporaso, Christopher A. Haiman, Bu Tian Ji, Adrienne M. Flanagan, Neyssa Marina, Eric J. Jacobs, Sophia S. Wang, Chong-Jen Yu, Edward Giovannucci, Margaret Wrensch, Robert L. Grubb, Bin Zhu, Daniel O. Stram, Manolis Kogevinas, Margaret R. Karagas, Mazda Jenab, Alison M. Mondul, Jun Xu, Preethi S. Raj, Anders Ahlbom, Christine D. Berg, Shelley Niwa, Kala Visvanathan, Loic Le Marchand, Jorge R. Toro, Robert N. Hoover, Heather Spencer Feigelson, Michelle Brotzman, Laurence N. Kolonel, Krista A. Zanetti, Chengfeng Wang, Mary Ann Butler, Ann Truelove, Irene L. Andrulis, Hongbing Shen, H. Dean Hosgood, Ming Shyan Huang, Gee-Chen Chang, Jianjun Liu, John K. Wiencke, Stephanie J. Weinstein, Beatrice Melin, Kouya Shiraishi, Zhihua Yin, Lee E. Moore, Börje Ljungberg, Jolanta Lissowska, Elizabeth M. Gillanders, M. T. Landi, Cari M. Kitahara, Maria Feychting, Kuan-Yu Chen, Matthias Simon, Brian M. Wolpin, Hemang Parikh, Hannah P. Yang, Graham G. Giles, Alison Johnson, Demetrius Albanes, Carlos González, Brian E. Henderson, Xifeng Wu, Harvey A. Risch, Amy Hutchinson, Christopher Hautman, Constance Chen, Zhibin Hu, Donghui Li, Elio Riboli, Julie E. Buring, Curtis C. Harris, Xu Che, Núria Malats, Roger Henriksson, Rosario Tumino, Joanne S. Colt, Alfredo Carrato, Paolo Boffetta, Maria Pik Wong, Hideo Tanaka, Federico Canzian, Alan D. L. Sihoe, Chien-Jen Chen, Kenneth Muir, Chen Ying, Qincheng He, Melissa C. Southey, Marc Sanson, Victoria K. Cortessis, Sharon A. Savage, Wei Hu, Yao Tettey, Daniela S. Gerhard, Sofia Pavanello, Guangwen Cao, H. Barton Grossman, Michael Goggins, Hideo Kunitoh, Peter D. Inskip, Seth P. Lerner, Peter Kraft, David Thomas, Peng Guan, Chung Hsing Chen, I. Shou Chang, Christoffer Johansen, Roberta McKean-Cowdin, Lee J. Helman, Yuh Min Chen, Ana Patiño-García, Pär Stattin, Xiaoping Miao, Tangchun Wu, Jay S. Wunder, Ann W. Hsing, Yu-Tang Gao, Brooke L. Fridley, Tania Carreón, Charles C. Chung, Nan Hu, Yoo Jin Jung, Richard B. Biritwum, Eric J. Duell, Philip R. Taylor, Satu Männistö, Kai Yu, Meredith Yeager, Xia Pu, Vittorio Krogh, Anand P. Chokkalingam, Susan M. Gapstur, W. Ryan Diver, Yuanqing Ye, Keitaro Matsuo, Cecilia Arici, You-Lin Qiao, Alan R. Schned, Dominique S. Michaud, Joanne W. Elena, Christopher Kim, Dongxin Lin, Yun-Chul Hong, Daru Lu, Reina García-Closas, Jonine D. Figueroa, Linda M. Liao, Yi-Long Wu, Heiner Boeing, Mark Lathrop, Göran Hallmans, Elizabeth A. Holly, Carol Giffen, Andrew A. Adjei, Consol Serra, Anne Tjønneland, Joseph F. Fraumeni, Alisa M. Goldstein, Ruth C. Travis, Rebecca Troisi, Dalsu Baris, Nalan Gokgoz, Olivier Cussenot, Xiang Deng, Yeul Hong Kim, Malin Sund, Sonja I. Berndt, E. David Crawford, Edward D. 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Subjects
Male, SINGLE-NUCLEOTIDE POLYMORPHISM, Genome-wide association study, Epigenesis, Genetic, Gene Frequency, Molecular Biology, Genetics, Genetics (clinical), Neoplasms, Odds Ratio, Genome-wide association studies (GWAS), Telomerase, DNA METHYLATION Author Information, Association Studies Articles, General Medicine, PANCREATIC-CANCER, PROSTATE-CANCER, Neoplasm Proteins, POSTMENOPAUSAL BREAST-CANCER, TERT PROMOTER MUTATIONS, Gene Expression Regulation, Neoplastic, 2 SUSCEPTIBILITY LOCI, DNA methylation, Chromosomes, Human, Pair 5, Female, Risk, Locus (genetics), Single-nucleotide polymorphism, TERT and CLPTM1L gene, Biology, Polymorphism, Single Nucleotide, LUNG-CANCER, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Allele, Gene, Allele frequency, Alleles, Genetic association, chromosome 5p15.33, Computational Biology, Membrane Proteins, DNA Methylation, Genetic Loci, TELOMERE LENGTH, Genome-Wide Association Study
Abstract

Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 x 10(-39); Region 3: rs2853677, P = 3.30 x 10(-36) and PConditional = 2.36 x 10(-8); Region 4: rs2736098, P = 3.87 x 10(-12) and PConditional = 5.19 x 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 x 10(-6); and Region 6: rs10069690, P = 7.49 x 10(-15) and PConditional = 5.35 x 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 x 10(-18) and PConditional = 7.06 x 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.

Published
2014
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7. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types

Author

Yeul Hong Kim, Sonja I. Berndt, José María Huerta, Morgan Rouprêt, Reury Perng Perng, Yi Young Choi, Lindsay M. Morton, Roberto Tirabosco, H. Bas Bueno-de-Mesquita, Wendy Cozen, Neil E. Caporaso, Stephen J. Chanock, Zhenhong Zhao, Dina Halai, Neyssa Marina, Ann L. Oberg, Stephen M. Ansell, Zhibin Hu, Donghui Li, Anne J. Novak, Jenny Turner, Wen Tan, Julie E. Buring, Stefano Porru, Qincheng He, Tania Carreón, Guoping Wu, Graham G. Giles, Claire M. Vajdic, Rudolf Kaaks, Ulrika Andersson, Susan L. Slager, Jen Yu Hung, Luis Sierrasesúmaga, Roel Vermeulen, Louise A. Brinton, Myron D. Gross, Jennifer Prescott, E. Lund, Chih Yi Chen, Jin Eun Choi, Chaoyu Wang, George J. Weiner, H. Dean Hosgood, Haixin Li, Carrie A. Thompson, Núria Malats, James McKay, Stephanie J. Weinstein, Young Tae Kim, Emily White, Pan-Chyr Yang, Orestis A. Panagiotou, Robert J. Klein, Joseph Vijai, Josep Lloreta, Immaculata De Vivo, Sofia Pavanello, Thomas E. Witzig, Montserrat Garcia-Closas, Roger Henriksson, Bryan A. Bassig, Tait D. Shanafelt, Rachel S. Kelly, Joseph M. Connors, Marco Rais, Wu Chou Su, Alex Smith, John J. Spinelli, Julie M. Gastier-Foster, Anne Kricker, In Kyu Park, Marc J. Gunter, Chancellor Hohensee, Simon Crouch, Jarmo Virtamo, M. G. Ennas, Lucia Conde, Lotte Maxild Mortensen, Lenka Foretova, Eric J. Duell, Anthony Staines, Hongyan Chen, Baosen Zhou, Brian M. Wolpin, Simone Benhamou, Zhaoming Wang, Françoise Clavel-Chapelon, Charles C. Chung, Nan Hu, Domenico Palli, Rebecca Montalvan, Thomas M. Habermann, Debra T. Silverman, Preetha Rajaraman, Christian C. Abnet, Wei-Yen Lim, Yuh Min Chen, Michelle Cotterchio, Lucia Miligi, Claudia Maria Hattinger, Eve Roman, Christopher Kim, Federico Canzian, Alan D. L. Sihoe, Sharon A. Savage, Mark P. Purdue, Maria Teresa Landi, Susan M. Gapstur, M Zucca, Yuanqing Ye, Jian Su, Chong-Jen Yu, Edward Giovannucci, Alain Monnereau, Afshan Siddiq, Ralph L. Erickson, Katherine A. McGlynn, Petra H.M. Peeters, W. 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Subjects
Male, Cancer Research, Lung Neoplasms, Lymphoma, Genome-wide association study, Polymorphism (computer science), Neoplasms, Medicine, Chronic, Genetics, Osteosarcoma, Oncology And Carcinogenesis, Leukemia, Smoking, Family aggregation, Single Nucleotide, Middle Aged, Familial risk, Diffuse, Kidney Neoplasms, Lymphocytic, Oncology, Adult, Aged, Asian Continental Ancestry Group, Bone Neoplasms, European Continental Ancestry Group, Female, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Polymorphism, Single Nucleotide, Testicular Neoplasms, Tissue Array Analysis, Urinary Bladder Neoplasms, Genetic Predisposition to Disease, Genome-Wide Association Study, Genetic correlation, Large B-Cell, Oncology & Carcinogenesis, Polymorphism, business.industry, Extramural, B-Cell, Cancer, Heritability, Genome-wide association studies for thirteen cancer types, medicine.disease, business
Abstract

BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.METHODS: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.RESULTS: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.CONCLUSION: Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015
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