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151. Chromosomal Aberrations and Survival after Unrelated Donor Hematopoietic Stem Cell Transplant in Patients with Fanconi Anemia

Author: Wang, Youjin, Zhou, Weiyin, Alter, Blanche P., Wang, Tao, Spellman, Stephen R., Haagenson, Michael, Yeager, Meredith, Lee, Stephanie J., Chanock, Stephen J., Savage, Sharon A., and Gadalla, Shahinaz M.
Published: 2018
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152. Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis

Author: Kleinstern, Geffen, Camp, Nicola J., Goldin, Lynn R., Vachon, Celine M., Vajdic, Claire M., de Sanjose, Silvia, Weinberg, J. Brice, Benavente, Yolanda, Casabonne, Delphine, Liebow, Mark, Nieters, Alexandra, Hjalgrim, Henrik, Melbye, Mads, Glimelius, Bengt, Adami, Hans-Olov, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, McKay, James, Cocco, Pier Luigi, Shanafelt, Tait D., Call, Timothy G., Norman, Aaron D., Hanson, Curtis, Robinson, Dennis, Chaffee, Kari G., Brooks-Wilson, Angela R., Monnereau, Alain, Clavel, Jacqueline, Glenn, Martha, Curtin, Karen, Conde, Lucia, Bracci, Paige M., Morton, Lindsay M., Cozen, Wendy, Severson, Richard K., Chanock, Stephen J., Spinelli, John J., Johnston, James B., Rothman, Nathaniel, Skibola, Christine F., Leis, Jose F., Kay, Neil E., Smedby, Karin E., Berndt, Sonja I., Cerhan, James R., Caporaso, Neil, and Slager, Susan L.
Published: 2018
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153. Genome-wide association study of age at menarche in African-American women

Author: Demerath, Ellen W, Liu, Ching-Ti, Franceschini, Nora, Chen, Gary, Palmer, Julie R, Smith, Erin N, Chen, Christina TL, Ambrosone, Christine B, Arnold, Alice M, Bandera, Elisa V, Berenson, Gerald S, Bernstein, Leslie, Britton, Angela, Cappola, Anne R, Carlson, Christopher S, Chanock, Stephen J, Chen, Wei, Chen, Zhao, Deming, Sandra L, Elks, Cathy E, Evans, Michelle K, Gajdos, Zofia, Henderson, Brian E, Hu, Jennifer J, Ingles, Sue, John, Esther M, Kerr, Kathleen F, Kolonel, Laurence N, Le Marchand, Loic, Lu, Xiaoning, Millikan, Robert C, Musani, Solomon K, Nock, Nora L, North, Kari, Nyante, Sarah, Press, Michael F, Rodriquez-Gil, Jorge L, Ruiz-Narvaez, Edward A, Schork, Nicholas J, Srinivasan, Sathanur R, Woods, Nancy F, Zheng, Wei, Ziegler, Regina G, Zonderman, Alan, Heiss, Gerardo, Windham, B Gwen, Wellons, Melissa, Murray, Sarah S, Nalls, Michael, Pastinen, Tomi, Rajkovic, Aleksandar, Hirschhorn, Joel, Cupples, L Adrienne, Kooperberg, Charles, Murabito, Joanne M, and Haiman, Christopher A
Subjects: Genetics, Aging, Prevention, Contraception/Reproduction, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Adolescent, Black or African American, Case-Control Studies, Child, Diabetes Mellitus, Type 2, Female, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Linear Models, Membrane Glycoproteins, Membrane Proteins, Menarche, Nuclear Receptor Subfamily 1, Group F, Member 1, Obesity, Polymorphism, Single Nucleotide, Risk Factors, White People, Young Adult, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: African-American (AA) women have earlier menarche on average than women of European ancestry (EA), and earlier menarche is a risk factor for obesity and type 2 diabetes among other chronic diseases. Identification of common genetic variants associated with age at menarche has a potential value in pointing to the genetic pathways underlying chronic disease risk, yet comprehensive genome-wide studies of age at menarche are lacking for AA women. In this study, we tested the genome-wide association of self-reported age at menarche with common single-nucleotide polymorphisms (SNPs) in a total of 18 089 AA women in 15 studies using an additive genetic linear regression model, adjusting for year of birth and population stratification, followed by inverse-variance weighted meta-analysis (Stage 1). Top meta-analysis results were then tested in an independent sample of 2850 women (Stage 2). First, while no SNP passed the pre-specified P < 5 × 10(-8) threshold for significance in Stage 1, suggestive associations were found for variants near FLRT2 and PIK3R1, and conditional analysis identified two independent SNPs (rs339978 and rs980000) in or near RORA, strengthening the support for this suggestive locus identified in EA women. Secondly, an investigation of SNPs in 42 previously identified menarche loci in EA women demonstrated that 25 (60%) of them contained variants significantly associated with menarche in AA women. The findings provide the first evidence of cross-ethnic generalization of menarche loci identified to date, and suggest a number of novel biological links to menarche timing in AA women.
Published: 2013

154. Transforming Epidemiology for 21st Century Medicine and Public Health

Author: Khoury, Muin J, Lam, Tram Kim, Ioannidis, John PA, Hartge, Patricia, Spitz, Margaret R, Buring, Julie E, Chanock, Stephen J, Croyle, Robert T, Goddard, Katrina A, Ginsburg, Geoffrey S, Herceg, Zdenko, Hiatt, Robert A, Hoover, Robert N, Hunter, David J, Kramer, Barnet S, Lauer, Michael S, Meyerhardt, Jeffrey A, Olopade, Olufunmilayo I, Palmer, Julie R, Sellers, Thomas A, Seminara, Daniela, Ransohoff, David F, Rebbeck, Timothy R, Tourassi, Georgia, Winn, Deborah M, Zauber, Ann, and Schully, Sheri D
Subjects: Epidemiology, Public Health, Health Sciences, Cancer, Clinical Research, Generic health relevance, Good Health and Well Being, Biomedical Research, Epidemiologic Studies, Guidelines as Topic, History, 21st Century, Humans, Medical Oncology, National Cancer Institute (U.S.), Neoplasms, United States, National Cancer Institute, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract: In 2012, the National Cancer Institute (NCI) engaged the scientific community to provide a vision for cancer epidemiology in the 21st century. Eight overarching thematic recommendations, with proposed corresponding actions for consideration by funding agencies, professional societies, and the research community emerged from the collective intellectual discourse. The themes are (i) extending the reach of epidemiology beyond discovery and etiologic research to include multilevel analysis, intervention evaluation, implementation, and outcomes research; (ii) transforming the practice of epidemiology by moving toward more access and sharing of protocols, data, metadata, and specimens to foster collaboration, to ensure reproducibility and replication, and accelerate translation; (iii) expanding cohort studies to collect exposure, clinical, and other information across the life course and examining multiple health-related endpoints; (iv) developing and validating reliable methods and technologies to quantify exposures and outcomes on a massive scale, and to assess concomitantly the role of multiple factors in complex diseases; (v) integrating "big data" science into the practice of epidemiology; (vi) expanding knowledge integration to drive research, policy, and practice; (vii) transforming training of 21st century epidemiologists to address interdisciplinary and translational research; and (viii) optimizing the use of resources and infrastructure for epidemiologic studies. These recommendations can transform cancer epidemiology and the field of epidemiology, in general, by enhancing transparency, interdisciplinary collaboration, and strategic applications of new technologies. They should lay a strong scientific foundation for accelerated translation of scientific discoveries into individual and population health benefits.
Published: 2013

155. A genome-wide association study of early menopause and the combined impact of identified variants

Author: Perry, John RB, Corre, Tanguy, Esko, Tõnu, Chasman, Daniel I, Fischer, Krista, Franceschini, Nora, He, Chunyan, Kutalik, Zoltan, Mangino, Massimo, Rose, Lynda M, Smith, Albert Vernon, Stolk, Lisette, Sulem, Patrick, Weedon, Michael N, Zhuang, Wei V, Arnold, Alice, Ashworth, Alan, Bergmann, Sven, Buring, Julie E, Burri, Andrea, Chen, Constance, Cornelis, Marilyn C, Couper, David J, Goodarzi, Mark O, Gudnason, Vilmundur, Harris, Tamara, Hofman, Albert, Jones, Michael, Kraft, Peter, Launer, Lenore, Laven, Joop SE, Li, Guo, McKnight, Barbara, Masciullo, Corrado, Milani, Lili, Orr, Nicholas, Psaty, Bruce M, Ridker, Paul M, Rivadeneira, Fernando, Sala, Cinzia, Salumets, Andres, Schoemaker, Minouk, Traglia, Michela, Waeber, Gérard, Chanock, Stephen J, Demerath, Ellen W, Garcia, Melissa, Hankinson, Susan E, Hu, Frank B, Hunter, David J, Lunetta, Kathryn L, Metspalu, Andres, Montgomery, Grant W, Murabito, Joanne M, Newman, Anne B, Ong, Ken K, Spector, Tim D, Stefansson, Kari, Swerdlow, Anthony J, Thorsteinsdottir, Unnur, Van Dam, Rob M, Uitterlinden, André G, Visser, Jenny A, Vollenweider, Peter, Toniolo, Daniela, and Murray, Anna
Subjects: Biotechnology, Contraception/Reproduction, Infertility, Genetics, Human Genome, Aging, Estrogen, Prevention, Aetiology, 2.1 Biological and endogenous factors, Reproductive health and childbirth, Good Health and Well Being, Case-Control Studies, Female, Gene Frequency, Genome-Wide Association Study, Humans, Menopause, Premature, Polymorphism, Single Nucleotide, Primary Ovarian Insufficiency, Quantitative Trait Loci, Risk, ReproGen Consortium, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Early menopause (EM) affects up to 10% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for ∼30% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.
Published: 2013

156. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Author: Michailidou, Kyriaki, Hall, Per, Gonzalez-Neira, Anna, Ghoussaini, Maya, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Bojesen, Stig E, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Lee, Andrew, Turnbull, Clare, Rahman, Nazneen, Fletcher, Olivia, Peto, Julian, Gibson, Lorna, dos Santos Silva, Isabel, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Adank, Muriel, van der Luijt, Rob B, Hein, Rebecca, Dahmen, Norbert, Beckman, Lars, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Hopper, John L, Southey, Melissa C, Makalic, Enes, Schmidt, Daniel F, Uitterlinden, Andre G, Hofman, Albert, Hunter, David J, Chanock, Stephen J, Vincent, Daniel, Bacot, François, Tessier, Daniel C, Canisius, Sander, Wessels, Lodewyk FA, Haiman, Christopher A, Shah, Mitul, Luben, Robert, Brown, Judith, Luccarini, Craig, Schoof, Nils, Humphreys, Keith, Li, Jingmei, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Couch, Fergus J, Wang, Xianshu, Vachon, Celine, Stevens, Kristen N, Lambrechts, Diether, Moisse, Matthieu, Paridaens, Robert, Christiaens, Marie-Rose, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Johnson, Nichola, Aitken, Zoe, Aaltonen, Kirsimari, Heikkinen, Tuomas, Broeks, Annegien, Veer, Laura J Van't, van der Schoot, C Ellen, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Zamora, M Pilar, Perez, Jose Ignacio Arias, Pita, Guillermo, Alonso, M Rosario, Cox, Angela, Brock, Ian W, Cross, Simon S, Reed, Malcolm WR, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, and Henderson, Brian E
Subjects: Biological Sciences, Genetics, Human Genome, Prevention, Breast Cancer, Cancer, Breast Neoplasms, Case-Control Studies, Cooperative Behavior, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Breast and Ovarian Cancer Susceptibility Collaboration, Hereditary Breast and Ovarian Cancer Research Group Netherlands, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10(-8)). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility.
Published: 2013

157. Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis

Author: Peters, Ulrike, Jiao, Shuo, Schumacher, Fredrick R, Hutter, Carolyn M, Aragaki, Aaron K, Baron, John A, Berndt, Sonja I, Bézieau, Stéphane, Brenner, Hermann, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Carlson, Christopher S, Casey, Graham, Chan, Andrew T, Chang–Claude, Jenny, Chanock, Stephen J, Chen, Lin S, Coetzee, Gerhard A, Coetzee, Simon G, Conti, David V, Curtis, Keith R, Duggan, David, Edwards, Todd, Fuchs, Charles S, Gallinger, Steven, Giovannucci, Edward L, Gogarten, Stephanie M, Gruber, Stephen B, Haile, Robert W, Harrison, Tabitha A, Hayes, Richard B, Henderson, Brian E, Hoffmeister, Michael, Hopper, John L, Hudson, Thomas J, Hunter, David J, Jackson, Rebecca D, Jee, Sun Ha, Jenkins, Mark A, Jia, Wei–Hua, Kolonel, Laurence N, Kooperberg, Charles, Küry, Sébastien, LaCroix, Andrea Z, Laurie, Cathy C, Laurie, Cecelia A, Le Marchand, Loic, Lemire, Mathieu, Levine, David, Lindor, Noralane M, Liu, Yan, Ma, Jing, Makar, Karen W, Matsuo, Keitaro, Newcomb, Polly A, Potter, John D, Prentice, Ross L, Qu, Conghui, Rohan, Thomas, Rosse, Stephanie A, Schoen, Robert E, Seminara, Daniela, Shrubsole, Martha, Shu, Xiao–Ou, Slattery, Martha L, Taverna, Darin, Thibodeau, Stephen N, Ulrich, Cornelia M, White, Emily, Xiang, Yongbing, Zanke, Brent W, Zeng, Yi–Xin, Zhang, Ben, Zheng, Wei, Hsu, Li, and Registry, Genetics and Epidemiology of Colorectal Cancer Consortium Colon Cancer Family
Subjects: Biomedical and Clinical Sciences, Clinical Sciences, Nutrition and Dietetics, Digestive Diseases, Prevention, Genetics, Cancer, Colo-Rectal Cancer, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Age Distribution, Aged, Aged, 80 and over, Colorectal Neoplasms, Cyclin D2, DNA-Binding Proteins, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Incidence, Laminin, Male, Middle Aged, Polymorphism, Single Nucleotide, Prognosis, Risk Assessment, Sex Distribution, T-Box Domain Proteins, Colon Cancer Family Registry and the Genetics and Epidemiology of Colorectal Cancer Consortium, Neurosciences, Paediatrics and Reproductive Medicine, Gastroenterology & Hepatology, Clinical sciences, Nutrition and dietetics
Abstract: Background & aimsHeritable factors contribute to the development of colorectal cancer. Identifying the genetic loci associated with colorectal tumor formation could elucidate the mechanisms of pathogenesis.MethodsWe conducted a genome-wide association study that included 14 studies, 12,696 cases of colorectal tumors (11,870 cancer, 826 adenoma), and 15,113 controls of European descent. The 10 most statistically significant, previously unreported findings were followed up in 6 studies; these included 3056 colorectal tumor cases (2098 cancer, 958 adenoma) and 6658 controls of European and Asian descent.ResultsBased on the combined analysis, we identified a locus that reached the conventional genome-wide significance level at less than 5.0 × 10(-8): an intergenic region on chromosome 2q32.3, close to nucleic acid binding protein 1 (most significant single nucleotide polymorphism: rs11903757; odds ratio [OR], 1.15 per risk allele; P = 3.7 × 10(-8)). We also found evidence for 3 additional loci with P values less than 5.0 × 10(-7): a locus within the laminin gamma 1 gene on chromosome 1q25.3 (rs10911251; OR, 1.10 per risk allele; P = 9.5 × 10(-8)), a locus within the cyclin D2 gene on chromosome 12p13.32 (rs3217810 per risk allele; OR, 0.84; P = 5.9 × 10(-8)), and a locus in the T-box 3 gene on chromosome 12q24.21 (rs59336; OR, 0.91 per risk allele; P = 3.7 × 10(-7)).ConclusionsIn a large genome-wide association study, we associated polymorphisms close to nucleic acid binding protein 1 (which encodes a DNA-binding protein involved in DNA repair) with colorectal tumor risk. We also provided evidence for an association between colorectal tumor risk and polymorphisms in laminin gamma 1 (this is the second gene in the laminin family to be associated with colorectal cancers), cyclin D2 (which encodes for cyclin D2), and T-box 3 (which encodes a T-box transcription factor and is a target of Wnt signaling to β-catenin). The roles of these genes and their products in cancer pathogenesis warrant further investigation.
Published: 2013

158. Evidence of Geneâ��Environment Interactions between Common Breast Cancer Susceptibility Loci and Established Environmental Risk Factors

Author: Nickels, Stefan, Truong, ThÃ©rÃ¨se, Hein, Rebecca, Stevens, Kristen, Buck, Katharina, Behrens, Sabine, Eilber, Ursula, Schmidt, Martina, HÃ¤berle, Lothar, Vrieling, Alina, Gaudet, Mia, Figueroa, Jonine, Schoof, Nils, Spurdle, Amanda B, Rudolph, Anja, Fasching, Peter A, Hopper, John L, Makalic, Enes, Schmidt, Daniel F, Southey, Melissa C, Beckmann, Matthias W, Ekici, Arif B, Fletcher, Olivia, Gibson, Lorna, dos Santos Silva, Isabel, Peto, Julian, Humphreys, Manjeet K, Wang, Jean, Cordina-Duverger, Emilie, Menegaux, Florence, Nordestgaard, BÃ¸rge G, Bojesen, Stig E, Lanng, Charlotte, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Clarke, Christina A, Brenner, Hermann, MÃ¼ller, Heiko, Arndt, Volker, Stegmaier, Christa, Brauch, Hiltrud, BrÃ¼ning, Thomas, Harth, Volker, GENICA Network, The, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, kConFab, The, Group, AOCS Management, Lambrechts, Diether, Smeets, Dominiek, Neven, Patrick, Paridaens, Robert, Flesch-Janys, Dieter, Obi, Nadia, Wang-Gohrke, Shan, Couch, Fergus J, Olson, Janet E, Vachon, Celine M, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Offit, Kenneth, John, Esther M, Miron, Alexander, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Chanock, Stephen J, Lissowska, Jolanta, Liu, Jianjun, Cox, Angela, Cramp, Helen, Connley, Dan, Balasubramanian, Sabapathy, Dunning, Alison M, Shah, Mitul, Trentham-Dietz, Amy, Newcomb, Polly, Titus, Linda, Egan, Kathleen, Cahoon, Elizabeth K, Rajaraman, Preetha, Sigurdson, Alice J, Doody, Michele M, GuÃ©nel, Pascal, Pharoah, Paul D. P, Schmidt, Marjanka K, Hall, Per, Easton, Doug F, Garcia-Closas, Montserrat, Milne, Roger L, Chang-Claude, Jenny, and Horwitz, Marshall S
Subjects: Genome-Wide Association, Mammographic Density, 14q24.1 Rad51l1, Hormone-Therapy, Pooled Analysis, Tumor Subtypes, Variants, Consortium, Fgfr2, Women
Published: 2013

159. Polymorphisms in genes related to one-carbon metabolism are not related to pancreatic cancer in PanScan and PanC4

Author: Leenders, Max, Bhattacharjee, Samsiddhi, Vineis, Paolo, Stevens, Victoria, Bueno-de-Mesquita, H Bas, Shu, Xiao-Ou, Amundadottir, Laufey, Gross, Myron, Tobias, Geoffrey S, Wactawski-Wende, Jean, Arslan, Alan A, Duell, Eric J, Fuchs, Charles S, Gallinger, Steven, Hartge, Patricia, Hoover, Robert N, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, Kooperberg, Charles, LaCroix, Andrea, Li, Donghui, Mandelson, Margaret T, Olson, Sara H, Petersen, Gloria, Risch, Harvey A, Yu, Kai, Wolpin, Brian M, Zheng, Wei, Agalliu, Ilir, Albanes, Demetrius, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Buring, Julie E, Canzian, Federico, Chang, Kenneth, Chanock, Stephen J, Cotterchio, Michelle, Gaziano, J Michael, Giovanucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hoffman-Bolton, Judith A, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Jenab, Mazda, Khaw, Kay-Tee, Kraft, Peter, Krogh, Vittorio, Kurtz, Robert C, McWilliams, Robert R, Mendelsohn, Julie B, Patel, Alpa V, Rabe, Kari G, Riboli, Elio, Tjønneland, Anne, Trichopoulos, Dimitrios, Virtamo, Jarmo, Visvanathan, Kala, Elena, Joanne W, Yu, Herbert, Zeleniuch-Jacquotte, Anne, and Stolzenberg-Solomon, Rachael Z
Subjects: Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Cancer, Digestive Diseases, Genetics, Pancreatic Cancer, Prevention, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Carbon, Case-Control Studies, Cohort Studies, Germ-Line Mutation, Humans, Pancreatic Neoplasms, Polymorphism, Single Nucleotide, United States, Pancreatic cancer, One-carbon metabolism, Polymorphisms, Biomarkers, Public Health and Health Services, Oncology and carcinogenesis
Abstract: PurposeThe evidence of a relation between folate intake and one-carbon metabolism (OCM) with pancreatic cancer (PanCa) is inconsistent. In this study, the association between genes and single-nucleotide polymorphisms (SNPs) related to OCM and PanCa was assessed.MethodsUsing biochemical knowledge of the OCM pathway, we identified thirty-seven genes and 834 SNPs to examine in association with PanCa. Our study included 1,408 cases and 1,463 controls nested within twelve cohorts (PanScan). The ten SNPs and five genes with lowest p values (
Published: 2013

160. Diabetes and risk of pancreatic cancer: a pooled analysis from the pancreatic cancer cohort consortium

Author: Elena, Joanne W, Steplowski, Emily, Yu, Kai, Hartge, Patricia, Tobias, Geoffrey S, Brotzman, Michelle J, Chanock, Stephen J, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Bao, Ying, Boeing, Heiner, Boutron-Ruault, Marie-Christine, Buring, Julie E, Gaziano, J Michael, Giovannucci, Edward L, Duell, Eric J, Hallmans, Göran, Howard, Barbara V, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kooperberg, Charles, Kraft, Peter, Mendelsohn, Julie B, Michaud, Dominique S, Palli, Domenico, Phillips, Lawrence S, Overvad, Kim, Patel, Alpa V, Sansbury, Leah, Shu, Xiao-Ou, Simon, Michael S, Slimani, Nadia, Trichopoulos, Dimitrios, Visvanathan, Kala, Virtamo, Jarmo, Wolpin, Brian M, Zeleniuch-Jacquotte, Anne, Fuchs, Charles S, Hoover, Robert N, and Gross, Myron
Subjects: Biomedical and Clinical Sciences, Epidemiology, Health Services and Systems, Health Sciences, Oncology and Carcinogenesis, Rare Diseases, Cancer, Pancreatic Cancer, Prevention, Digestive Diseases, Clinical Research, Diabetes, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Good Health and Well Being, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Case-Control Studies, Cohort Studies, Diabetes Complications, Diabetes Mellitus, Female, Humans, Male, Middle Aged, Pancreatic Neoplasms, Risk Factors, Public Health and Health Services, Oncology and carcinogenesis
Abstract: PurposeDiabetes is a suspected risk factor for pancreatic cancer, but questions remain about whether it is a risk factor or a result of the disease. This study prospectively examined the association between diabetes and the risk of pancreatic adenocarcinoma in pooled data from the NCI pancreatic cancer cohort consortium (PanScan).MethodsThe pooled data included 1,621 pancreatic adenocarcinoma cases and 1,719 matched controls from twelve cohorts using a nested case-control study design. Subjects who were diagnosed with diabetes near the time (
Published: 2013

161. Sex specific associations in genome wide association analysis of renal cell carcinoma

Author: Laskar, Ruhina S., Muller, David C., Li, Peng, Machiela, Mitchell J., Ye, Yuanqing, Gaborieau, Valerie, Foll, Matthieu, Hofmann, Jonathan N., Colli, Leandro, Sampson, Joshua N., Wang, Zhaoming, Bacq-Daian, Delphine, Boland, Anne, Abedi-Ardekani, Behnoush, Durand, Geoffroy, Le Calvez-Kelm, Florence, Robinot, Nivonirina, Blanche, Helene, Prokhortchouk, Egor, Skryabin, Konstantin G., Burdett, Laurie, Yeager, Meredith, Radojevic-Skodric, Sanja, Savic, Slavisa, Foretova, Lenka, Holcatova, Ivana, Janout, Vladimir, Mates, Dana, Rascu, Stefan, Mukeria, Anush, Zaridze, David, Bencko, Vladimir, Cybulski, Cezary, Fabianova, Eleonora, Jinga, Viorel, Lissowska, Jolanta, Lubinski, Jan, Navratilova, Marie, Rudnai, Peter, Świątkowska, Beata, Benhamou, Simone, Cancel-Tassin, Geraldine, Cussenot, Olivier, Trichopoulou, Antonia, Riboli, Elio, Overvad, Kim, Panico, Salvatore, Ljungberg, Borje, Sitaram, Raviprakash T., Giles, Graham G., Milne, Roger L, Severi, Gianluca, Bruinsma, Fiona, Fletcher, Tony, Koppova, Kvetoslava, Larsson, Susanna C., Wolk, Alicja, Banks, Rosamonde E., Selby, Peter J., Easton, Douglas F., Pharoah, Paul, Andreotti, Gabriella, Beane Freeman, Laura E, Koutros, Stella, Albanes, Demetrius, Männistö, Satu, Weinstein, Stephanie, Clark, Peter E., Edwards, Todd L., Lipworth, Loren, Carol, Hallie, Freedman, Matthew L., Pomerantz, Mark M., Cho, Eunyoung, Kraft, Peter, Preston, Mark A., Wilson, Kathryn M., Michael Gaziano, J., Sesso, Howard D., Black, Amanda, Freedman, Neal D., Huang, Wen-Yi, Anema, John G., Kahnoski, Richard J., Lane, Brian R., Noyes, Sabrina L., Petillo, David, Teh, Bin Tean, Peters, Ulrike, White, Emily, Anderson, Garnet L., Johnson, Lisa, Luo, Juhua, Chow, Wong-Ho, Moore, Lee E., Choueiri, Toni K., Wood, Christopher, Johansson, Mattias, McKay, James D., Brown, Kevin M., Rothman, Nathaniel, Lathrop, Mark G., Deleuze, Jean-Francois, Wu, Xifeng, Brennan, Paul, Chanock, Stephen J., Purdue, Mark P., and Scelo, Ghislaine
Published: 2019
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162. Detectible mosaic truncating PPM1D mutations, age and breast cancer risk

Author: Machiela, Mitchell J., Myers, Timothy A., Lyons, Christopher J., Koster, Roelof, Figg, Jr., William D., Colli, Leandro M., Jessop, Lea, Ahearn, Thomas U., Freedman, Neal D., García-Closas, Montserrat, and Chanock, Stephen J.
Published: 2019
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163. Discovery of common and rare genetic risk variants for colorectal cancer

Author: Huyghe, Jeroen R., Bien, Stephanie A., Harrison, Tabitha A., Kang, Hyun Min, Chen, Sai, Schmit, Stephanie L., Conti, David V., Qu, Conghui, Jeon, Jihyoun, Edlund, Christopher K., Greenside, Peyton, Wainberg, Michael, Schumacher, Fredrick R., Smith, Joshua D., Levine, David M., Nelson, Sarah C., Sinnott-Armstrong, Nasa A., Albanes, Demetrius, Alonso, M. Henar, Anderson, Kristin, Arnau-Collell, Coral, Arndt, Volker, Bamia, Christina, Banbury, Barbara L., Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Boehm, Juergen, Boeing, Heiner, Brenner, Hermann, Brezina, Stefanie, Buch, Stephan, Buchanan, Daniel D., Burnett-Hartman, Andrea, Butterbach, Katja, Caan, Bette J., Campbell, Peter T., Carlson, Christopher S., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Chirlaque, Maria-Dolores, Cho, Sang Hee, Connolly, Charles M., Cross, Amanda J., Cuk, Katarina, Curtis, Keith R., de la Chapelle, Albert, Doheny, Kimberly F., Duggan, David, Easton, Douglas F., Elias, Sjoerd G., Elliott, Faye, English, Dallas R., Feskens, Edith J. M., Figueiredo, Jane C., Fischer, Rocky, FitzGerald, Liesel M., Forman, David, Gala, Manish, Gallinger, Steven, Gauderman, W. James, Giles, Graham G., Gillanders, Elizabeth, Gong, Jian, Goodman, Phyllis J., Grady, William M., Grove, John S., Gsur, Andrea, Gunter, Marc J., Haile, Robert W., Hampe, Jochen, Hampel, Heather, Harlid, Sophia, Hayes, Richard B., Hofer, Philipp, Hoffmeister, Michael, Hopper, John L., Hsu, Wan-Ling, Huang, Wen-Yi, Hudson, Thomas J., Hunter, David J., Ibañez-Sanz, Gemma, Idos, Gregory E., Ingersoll, Roxann, Jackson, Rebecca D., Jacobs, Eric J., Jenkins, Mark A., Joshi, Amit D., Joshu, Corinne E., Keku, Temitope O., Key, Timothy J., Kim, Hyeong Rok, Kobayashi, Emiko, Kolonel, Laurence N., Kooperberg, Charles, Kühn, Tilman, Küry, Sébastien, Kweon, Sun-Seog, Larsson, Susanna C., Laurie, Cecelia A., Le Marchand, Loic, Leal, Suzanne M., Lee, Soo Chin, Lejbkowicz, Flavio, Lemire, Mathieu, Li, Christopher I., Li, Li, Lieb, Wolfgang, Lin, Yi, Lindblom, Annika, Lindor, Noralane M., Ling, Hua, Louie, Tin L., Männistö, Satu, Markowitz, Sanford D., Martín, Vicente, Masala, Giovanna, McNeil, Caroline E., Melas, Marilena, Milne, Roger L., Moreno, Lorena, Murphy, Neil, Myte, Robin, Naccarati, Alessio, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Onland-Moret, N. Charlotte, Pardini, Barbara, Parfrey, Patrick S., Pearlman, Rachel, Perduca, Vittorio, Pharoah, Paul D. P., Pinchev, Mila, Platz, Elizabeth A., Prentice, Ross L., Pugh, Elizabeth, Raskin, Leon, Rennert, Gad, Rennert, Hedy S., Riboli, Elio, Rodríguez-Barranco, Miguel, Romm, Jane, Sakoda, Lori C., Schafmayer, Clemens, Schoen, Robert E., Seminara, Daniela, Shah, Mitul, Shelford, Tameka, Shin, Min-Ho, Shulman, Katerina, Sieri, Sabina, Slattery, Martha L., Southey, Melissa C., Stadler, Zsofia K., Stegmaier, Christa, Su, Yu-Ru, Tangen, Catherine M., Thibodeau, Stephen N., Thomas, Duncan C., Thomas, Sushma S., Toland, Amanda E., Trichopoulou, Antonia, Ulrich, Cornelia M., Van Den Berg, David J., van Duijnhoven, Franzel J. B., Van Guelpen, Bethany, van Kranen, Henk, Vijai, Joseph, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Win, Aung Ko, Wolf, C. Roland, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zaidi, Syed H., Zanke, Brent W., Zhang, Qing, Zheng, Wei, Scacheri, Peter C., Potter, John D., Bassik, Michael C., Kundaje, Anshul, Casey, Graham, Moreno, Victor, Abecasis, Goncalo R., Nickerson, Deborah A., Gruber, Stephen B., Hsu, Li, and Peters, Ulrike
Published: 2019
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164. Genome-wide association study of glioma and meta-analysis

Author: Rajaraman, Preetha, Melin, Beatrice S, Wang, Zhaoming, McKean-Cowdin, Roberta, Michaud, Dominique S, Wang, Sophia S, Bondy, Melissa, Houlston, Richard, Jenkins, Robert B, Wrensch, Margaret, Yeager, Meredith, Ahlbom, Anders, Albanes, Demetrius, Andersson, Ulrika, Freeman, Laura E Beane, Buring, Julie E, Butler, Mary Ann, Braganza, Melissa, Carreon, Tania, Feychting, Maria, Fleming, Sarah J, Gapstur, Susan M, Gaziano, J Michael, Giles, Graham G, Hallmans, Goran, Henriksson, Roger, Hoffman-Bolton, Judith, Inskip, Peter D, Johansen, Christoffer, Kitahara, Cari M, Lathrop, Mark, Liu, Chenwei, Le Marchand, Loic, Linet, Martha S, Lonn, Stefan, Peters, Ulrike, Purdue, Mark P, Rothman, Nathaniel, Ruder, Avima M, Sanson, Marc, Sesso, Howard D, Severi, Gianluca, Shu, Xiao-Ou, Simon, Matthias, Stampfer, Meir, Stevens, Victoria L, Visvanathan, Kala, White, Emily, Wolk, Alicja, Zeleniuch-Jacquotte, Anne, Zheng, Wei, Decker, Paul, Enciso-Mora, Victor, Fridley, Brooke, Gao, Yu-Tang, Kosel, Matthew, Lachance, Daniel H, Lau, Ching, Rice, Terri, Swerdlow, Anthony, Wiemels, Joseph L, Wiencke, John K, Shete, Sanjay, Xiang, Yong-Bing, Xiao, Yuanyuan, Hoover, Robert N, Fraumeni, Joseph F, Chatterjee, Nilanjan, Hartge, Patricia, and Chanock, Stephen J
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Clinical Research, Brain Disorders, Prevention, Brain Cancer, Neurosciences, Cancer, Human Genome, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Aged, Brain Neoplasms, Case-Control Studies, Cohort Studies, Cyclin-Dependent Kinase Inhibitor p15, DNA Helicases, Female, Genome-Wide Association Study, Glioblastoma, Glioma, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Telomerase, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract: Gliomas account for approximately 80 % of all primary malignant brain tumors and, despite improvements in clinical care over the last 20 years, remain among the most lethal tumors, underscoring the need for gaining new insights that could translate into clinical advances. Recent genome-wide association studies (GWAS) have identified seven new susceptibility regions. We conducted a new independent GWAS of glioma using 1,856 cases and 4,955 controls (from 14 cohort studies, 3 case-control studies, and 1 population-based case-only study) and found evidence of strong replication for three of the seven previously reported associations at 20q13.33 (RTEL), 5p15.33 (TERT), and 9p21.3 (CDKN2BAS), and consistent association signals for the remaining four at 7p11.2 (EGFR both loci), 8q24.21 (CCDC26) and 11q23.3 (PHLDB1). The direction and magnitude of the signal were consistent for samples from cohort and case-control studies, but the strength of the association was more pronounced for loci rs6010620 (20q,13.33; RTEL) and rs2736100 (5p15.33, TERT) in cohort studies despite the smaller number of cases in this group, likely due to relatively more higher grade tumors being captured in the cohort studies. We further examined the 85 most promising single nucleotide polymorphism (SNP) markers identified in our study in three replication sets (5,015 cases and 11,601 controls), but no new markers reached genome-wide significance. Our findings suggest that larger studies focusing on novel approaches as well as specific tumor subtypes or subgroups will be required to identify additional common susceptibility loci for glioma risk.
Published: 2012

165. Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer.

Author: Li, Donghui, Duell, Eric J, Yu, Kai, Risch, Harvey A, Olson, Sara H, Kooperberg, Charles, Wolpin, Brian M, Jiao, Li, Dong, Xiaoqun, Wheeler, Bill, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Fuchs, Charles S, Gallinger, Steven, Gross, Myron, Hartge, Patricia, Hoover, Robert N, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, LaCroix, Andrea, Mandelson, Margaret T, Petersen, Gloria, Zheng, Wei, Agalliu, Ilir, Albanes, Demetrius, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Buring, Julie E, Canzian, Federico, Chang, Kenneth, Chanock, Stephen J, Cotterchio, Michelle, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hoffman Bolton, Judith A, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Jenab, Mazda, Khaw, Kay-Tee, Kraft, Peter, Krogh, Vittorio, Kurtz, Robert C, McWilliams, Robert R, Mendelsohn, Julie B, Patel, Alpa V, Rabe, Kari G, Riboli, Elio, Shu, Xiao-Ou, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Visvanathan, Kala, Watters, Joanne, Yu, Herbert, Zeleniuch-Jacquotte, Anne, Amundadottir, Laufey, and Stolzenberg-Solomon, Rachael Z
Subjects: Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract: Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic cancer cases and 3934 control participants pooled from 12 cohort studies and 8 case-control studies (PanScan). We compiled 23 biological pathways hypothesized to be relevant to pancreatic cancer and observed a nominal association between pancreatic cancer and five pathways (P < 0.05), i.e. pancreatic development, Helicobacter pylori lacto/neolacto, hedgehog, Th1/Th2 immune response and apoptosis (P = 2.0 × 10(-6), 1.6 × 10(-5), 0.0019, 0.019 and 0.023, respectively). After excluding previously identified genes from the original GWAS in three pathways (NR5A2, ABO and SHH), the pancreatic development pathway remained significant (P = 8.3 × 10(-5)), whereas the others did not. The most significant genes (P < 0.01) in the five pathways were NR5A2, HNF1A, HNF4G and PDX1 for pancreatic development; ABO for H.pylori lacto/neolacto; SHH for hedgehog; TGFBR2 and CCL18 for Th1/Th2 immune response and MAPK8 and BCL2L11 for apoptosis. Our results provide a link between inherited variation in genes important for pancreatic development and cancer and show that pathway-based approaches to analysis of GWAS data can yield important insights into the collective role of genetic risk variants in cancer.
Published: 2012

166. Characterization of Gene–Environment Interactions for Colorectal Cancer Susceptibility Loci

Author: Hutter, Carolyn M, Chang-Claude, Jenny, Slattery, Martha L, Pflugeisen, Bethann M, Lin, Yi, Duggan, David, Nan, Hongmei, Lemire, Mathieu, Rangrej, Jagadish, Figueiredo, Jane C, Jiao, Shuo, Harrison, Tabitha A, Liu, Yan, Chen, Lin S, Stelling, Deanna L, Warnick, Greg S, Hoffmeister, Michael, Küry, Sébastien, Fuchs, Charles S, Giovannucci, Edward, Hazra, Aditi, Kraft, Peter, Hunter, David J, Gallinger, Steven, Zanke, Brent W, Brenner, Hermann, Frank, Bernd, Ma, Jing, Ulrich, Cornelia M, White, Emily, Newcomb, Polly A, Kooperberg, Charles, LaCroix, Andrea Z, Prentice, Ross L, Jackson, Rebecca D, Schoen, Robert E, Chanock, Stephen J, Berndt, Sonja I, Hayes, Richard B, Caan, Bette J, Potter, John D, Hsu, Li, Bézieau, Stéphane, Chan, Andrew T, Hudson, Thomas J, and Peters, Ulrike
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Digestive Diseases, Nutrition, Prevention, Cancer, Colo-Rectal Cancer, Human Genome, Colorectal Neoplasms, Diet, Gene-Environment Interaction, Genetic Predisposition to Disease, Genotype, Humans, Polymorphism, Single Nucleotide, Oncology and Carcinogenesis, Oncology & Carcinogenesis, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract: Genome-wide association studies (GWAS) have identified more than a dozen loci associated with colorectal cancer (CRC) risk. Here, we examined potential effect-modification between single-nucleotide polymorphisms (SNP) at 10 of these loci and probable or established environmental risk factors for CRC in 7,016 CRC cases and 9,723 controls from nine cohort and case-control studies. We used meta-analysis of an efficient empirical-Bayes estimator to detect potential multiplicative interactions between each of the SNPs [rs16892766 at 8q23.3 (EIF3H/UTP23), rs6983267 at 8q24 (MYC), rs10795668 at 10p14 (FLJ3802842), rs3802842 at 11q23 (LOC120376), rs4444235 at 14q22.2 (BMP4), rs4779584 at 15q13 (GREM1), rs9929218 at 16q22.1 (CDH1), rs4939827 at 18q21 (SMAD7), rs10411210 at 19q13.1 (RHPN2), and rs961253 at 20p12.3 (BMP2)] and select major CRC risk factors (sex, body mass index, height, smoking status, aspirin/nonsteroidal anti-inflammatory drug use, alcohol use, and dietary intake of calcium, folate, red meat, processed meat, vegetables, fruit, and fiber). The strongest statistical evidence for a gene-environment interaction across studies was for vegetable consumption and rs16892766, located on chromosome 8q23.3, near the EIF3H and UTP23 genes (nominal P(interaction) = 1.3 × 10(-4); adjusted P = 0.02). The magnitude of the main effect of the SNP increased with increasing levels of vegetable consumption. No other interactions were statistically significant after adjusting for multiple comparisons. Overall, the association of most CRC susceptibility loci identified in initial GWAS seems to be invariant to the other risk factors considered; however, our results suggest potential modification of the rs16892766 effect by vegetable consumption.
Published: 2012

167. Genome-wide association analysis identifies three new breast cancer susceptibility loci

Author: Ghoussaini, Maya, Fletcher, Olivia, Michailidou, Kyriaki, Turnbull, Clare, Schmidt, Marjanka K, Dicks, Ed, Dennis, Joe, Wang, Qin, Humphreys, Manjeet K, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Maranian, Melanie, Ahmed, Shahana, Driver, Kristy, Johnson, Nichola, Orr, Nicholas, dos Santos Silva, Isabel, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Uitterlinden, Andre G, Rivadeneira, Fernando, Hall, Per, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Chang-Claude, Jenny, Hein, Rebecca, Nickels, Stefan, Flesch-Janys, Dieter, Tsimiklis, Helen, Makalic, Enes, Schmidt, Daniel, Bui, Minh, Hopper, John L, Apicella, Carmel, Park, Daniel J, Southey, Melissa, Hunter, David J, Chanock, Stephen J, Broeks, Annegien, Verhoef, Senno, Hogervorst, Frans BL, Fasching, Peter A, Lux, Michael P, Beckmann, Matthias W, Ekici, Arif B, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Cordina-Duverger, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Alonso, M Rosario, González-Neira, Anna, Benítez, Javier, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Dur, Christina Clarke, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Justenhoven, Christina, Brauch, Hiltrud, Brüning, Thomas, Wang-Gohrke, Shan, Eilber, Ursula, Dörk, Thilo, Schürmann, Peter, Bremer, Michael, Hillemanns, Peter, Bogdanova, Natalia V, Antonenkova, Natalia N, Rogov, Yuri I, Karstens, Johann H, Bermisheva, Marina, Prokofieva, Darya, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, and Mannermaa, Arto
Subjects: Biological Sciences, Genetics, Estrogen, Human Genome, Prevention, Cancer, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Chromosomes, Human, Pair 12, Chromosomes, Human, Pair 21, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, Principal Component Analysis, White People, Netherlands Collaborative Group on Hereditary Breast and Ovarian Cancer, Familial Breast Cancer Study, Gene Environment Interaction of Breast Cancer in Germany (GENICA) Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ∼70,000 cases and ∼68,000 controls from 41 case-control studies and 9 breast cancer GWAS. We identified three new breast cancer risk loci at 12p11 (rs10771399; P = 2.7 × 10(-35)), 12q24 (rs1292011; P = 4.3 × 10(-19)) and 21q21 (rs2823093; P = 1.1 × 10(-12)). rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) has a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, and NRIP1 (21q21) encodes an ER cofactor and has a role in the regulation of breast cancer cell growth.
Published: 2012

168. Meta-analysis of new genome-wide association studies of colorectal cancer risk

Author: Peters, Ulrike, Hutter, Carolyn M, Hsu, Li, Schumacher, Fredrick R, Conti, David V, Carlson, Christopher S, Edlund, Christopher K, Haile, Robert W, Gallinger, Steven, Zanke, Brent W, Lemire, Mathieu, Rangrej, Jagadish, Vijayaraghavan, Raakhee, Chan, Andrew T, Hazra, Aditi, Hunter, David J, Ma, Jing, Fuchs, Charles S, Giovannucci, Edward L, Kraft, Peter, Liu, Yan, Chen, Lin, Jiao, Shuo, Makar, Karen W, Taverna, Darin, Gruber, Stephen B, Rennert, Gad, Moreno, Victor, Ulrich, Cornelia M, Woods, Michael O, Green, Roger C, Parfrey, Patrick S, Prentice, Ross L, Kooperberg, Charles, Jackson, Rebecca D, LaCroix, Andrea Z, Caan, Bette J, Hayes, Richard B, Berndt, Sonja I, Chanock, Stephen J, Schoen, Robert E, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Frank, Bernd, Bézieau, Stéphane, Küry, Sébastien, Slattery, Martha L, Hopper, John L, Jenkins, Mark A, Le Marchand, Loic, Lindor, Noralane M, Newcomb, Polly A, Seminara, Daniela, Hudson, Thomas J, Duggan, David J, Potter, John D, and Casey, Graham
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Colo-Rectal Cancer, Aging, Human Genome, Cancer, Prevention, Digestive Diseases, 2.1 Biological and endogenous factors, Aetiology, Colorectal Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract: Colorectal cancer is the second leading cause of cancer death in developed countries. Genome-wide association studies (GWAS) have successfully identified novel susceptibility loci for colorectal cancer. To follow up on these findings, and try to identify novel colorectal cancer susceptibility loci, we present results for GWAS of colorectal cancer (2,906 cases, 3,416 controls) that have not previously published main associations. Specifically, we calculated odds ratios and 95% confidence intervals using log-additive models for each study. In order to improve our power to detect novel colorectal cancer susceptibility loci, we performed a meta-analysis combining the results across studies. We selected the most statistically significant single nucleotide polymorphisms (SNPs) for replication using ten independent studies (8,161 cases and 9,101 controls). We again used a meta-analysis to summarize results for the replication studies alone, and for a combined analysis of GWAS and replication studies. We measured ten SNPs previously identified in colorectal cancer susceptibility loci and found eight to be associated with colorectal cancer (p value range 0.02 to 1.8 × 10(-8)). When we excluded studies that have previously published on these SNPs, five SNPs remained significant at p
Published: 2012

169. A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone–Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation

Author: Coviello, Andrea D, Haring, Robin, Wellons, Melissa, Vaidya, Dhananjay, Lehtimäki, Terho, Keildson, Sarah, Lunetta, Kathryn L, He, Chunyan, Fornage, Myriam, Lagou, Vasiliki, Mangino, Massimo, Onland-Moret, N Charlotte, Chen, Brian, Eriksson, Joel, Garcia, Melissa, Liu, Yong Mei, Koster, Annemarie, Lohman, Kurt, Lyytikäinen, Leo-Pekka, Petersen, Ann-Kristin, Prescott, Jennifer, Stolk, Lisette, Vandenput, Liesbeth, Wood, Andrew R, Zhuang, Wei Vivian, Ruokonen, Aimo, Hartikainen, Anna-Liisa, Pouta, Anneli, Bandinelli, Stefania, Biffar, Reiner, Brabant, Georg, Cox, David G, Chen, Yuhui, Cummings, Steven, Ferrucci, Luigi, Gunter, Marc J, Hankinson, Susan E, Martikainen, Hannu, Hofman, Albert, Homuth, Georg, Illig, Thomas, Jansson, John-Olov, Johnson, Andrew D, Karasik, David, Karlsson, Magnus, Kettunen, Johannes, Kiel, Douglas P, Kraft, Peter, Liu, Jingmin, Ljunggren, Östen, Lorentzon, Mattias, Maggio, Marcello, Markus, Marcello RP, Mellström, Dan, Miljkovic, Iva, Mirel, Daniel, Nelson, Sarah, Papunen, Laure Morin, Peeters, Petra HM, Prokopenko, Inga, Raffel, Leslie, Reincke, Martin, Reiner, Alex P, Rexrode, Kathryn, Rivadeneira, Fernando, Schwartz, Stephen M, Siscovick, David, Soranzo, Nicole, Stöckl, Doris, Tworoger, Shelley, Uitterlinden, André G, van Gils, Carla H, Vasan, Ramachandran S, Wichmann, H-Erich, Zhai, Guangju, Bhasin, Shalender, Bidlingmaier, Martin, Chanock, Stephen J, De Vivo, Immaculata, Harris, Tamara B, Hunter, David J, Kähönen, Mika, Liu, Simin, Ouyang, Pamela, Spector, Tim D, van der Schouw, Yvonne T, Viikari, Jorma, Wallaschofski, Henri, McCarthy, Mark I, Frayling, Timothy M, Murray, Anna, Franks, Steve, Järvelin, Marjo-Riitta, de Jong, Frank H, Raitakari, Olli, Teumer, Alexander, Ohlsson, Claes, Murabito, Joanne M, and Perry, John RB
Subjects: Biological Sciences, Genetics, Breast Cancer, Aging, Estrogen, Cancer Genomics, Urologic Diseases, Cancer, Prostate Cancer, Human Genome, Women's Health, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Alleles, Female, Genetic Heterogeneity, Genome-Wide Association Study, Gonadal Steroid Hormones, Humans, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Sex Characteristics, Sex Hormone-Binding Globulin, Developmental Biology
Abstract: Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes (T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046 individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.8 × 10(-106)), PRMT6 (rs17496332, 1p13.3, p = 1.4 × 10(-11)), GCKR (rs780093, 2p23.3, p = 2.2 × 10(-16)), ZBTB10 (rs440837, 8q21.13, p = 3.4 × 10(-09)), JMJD1C (rs7910927, 10q21.3, p = 6.1 × 10(-35)), SLCO1B1 (rs4149056, 12p12.1, p = 1.9 × 10(-08)), NR2F2 (rs8023580, 15q26.2, p = 8.3 × 10(-12)), ZNF652 (rs2411984, 17q21.32, p = 3.5 × 10(-14)), TDGF3 (rs1573036, Xq22.3, p = 4.1 × 10(-14)), LHCGR (rs10454142, 2p16.3, p = 1.3 × 10(-07)), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7 × 10(-08)), and UGT2B15 (rs293428, 4q13.2, p = 5.5 × 10(-06)). These genes encompass multiple biologic pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer. We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was significant in men only (men p = 2.5 × 10(-08), women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sex-differentiated or conditional analyses explained ~15.6% and ~8.4% of the genetic variation of SHBG concentrations in men and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of considering these features when estimating complex trait variance.
Published: 2012

170. Using whole-exome sequencing and protein interaction networks to prioritize candidate genes for germline cutaneous melanoma susceptibility

Author: Yepes, Sally, Tucker, Margaret A., Koka, Hela, Xiao, Yanzi, Jones, Kristine, Vogt, Aurelie, Burdette, Laurie, Luo, Wen, Zhu, Bin, Hutchinson, Amy, Yeager, Meredith, Hicks, Belynda, Freedman, Neal D., Chanock, Stephen J., Goldstein, Alisa M., and Yang, Xiaohong R.
Published: 2020
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171. 7q21-rs6964587 and breast cancer risk: an extended case–control study by the Breast Cancer Association Consortium

Author: Milne, Roger L, Lorenzo-Bermejo, Justo, Burwinkel, Barbara, Malats, Núria, Arias, Jose Ignacio, Zamora, M Pilar, Benítez, Javier, Humphreys, Manjeet K, García-Closas, Montserrat, Chanock, Stephen J, Lissowska, Jolanta, Sherman, Mark E, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Anton-Culver, Hoda, Ziogas, Argyrios, Devilee, Peter, van Asperen, Christie J, Tollenaar, Rob AEM, Seynaeve, Caroline, Hall, Per, Czene, Kamila, Liu, Jianjun, Irwanto, Astrid K, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Nordestgaard, Børge G, Bojesen, Stig E, Flyger, Henrik, Margolin, Sara, Lindblom, Annika, Fasching, Peter A, Schulz-Wendtland, Ruediger, Ekici, Arif B, Beckmann, Matthias W, Wang-Gohrke, Shan, Shen, Chen-Yang, Yu, Jyh-Cherng, Hsu, Huan-Ming, Wu, Pei-Ei, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, English, Dallas R, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Beesley, Jonathan, Chen, Xiaoqing, Investigators, kConFab, Group, AOCS, Fletcher, Olivia, Gibson, Lorna, dos Santos Silva, Isabel, Peto, Julian, Frank, Bernd, Heil, Joerg, Meindl, Alfons, Chang-Claude, Jenny, Hein, Rebecca, Vrieling, Alina, Flesch-Janys, Dieter, Southey, Melissa C, Smith, Letitia, Apicella, Carmel, Hopper, John L, Dunning, Alison M, Pooley, Karen A, Pharoah, Paul DP, Hamann, Ute, Pesch, Beate, Ko, Yon-Dschun, Network, The GENICA, Easton, Douglas F, and Chenevix-Trench, Georgia
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Clinical Research, Cancer, Aetiology, 2.1 Biological and endogenous factors, A Kinase Anchor Proteins, Alleles, Asian People, Breast Neoplasms, Case-Control Studies, Chromosomes, Human, Pair 7, Cytoskeletal Proteins, Female, Genes, Recessive, Genetic Predisposition to Disease, Humans, Logistic Models, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, White People, AOCS Group, GENICA Network, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract: BackgroundUsing the Breast Cancer Association Consortium, the authors previously reported that the single nucleotide polymorphism 7q21-rs6964587 (AKAP9-M463I) is associated with breast cancer risk. The authors have now assessed this association more comprehensively using 16 independent case-control studies.MethodsThe authors genotyped 14,843 invasive case patients and 19,852 control subjects with white European ancestry and 2595 invasive case patients and 2192 control subjects with Asian ancestry. ORs were estimated by logistic regression, adjusted for study. Heterogeneity in ORs was assessed by fitting interaction terms or by subclassifying case patients and applying polytomous logistic regression.ResultsFor white European women, the minor T allele of 7q21-rs6964587 was associated with breast cancer risk under a recessive model (OR 1.07, 95% CI 1.00 to 1.13, p = 0.04). Results were inconclusive for Asian women. From a combined analysis of 24 154 case patients and 33,376 control subjects of white European ancestry from the present and previous series, the best-fitting model was recessive, with an estimated OR of 1.08 (95% CI 1.03 to 1.13, p = 0.001). The OR was greater at younger ages (p trend = 0.01).ConclusionThis may be the first common susceptibility allele for breast cancer to be identified with a recessive mode of inheritance.
Published: 2011

172. The landscape of recombination in African Americans

Author: Hinch, Anjali G, Tandon, Arti, Patterson, Nick, Song, Yunli, Rohland, Nadin, Palmer, Cameron D, Chen, Gary K, Wang, Kai, Buxbaum, Sarah G, Akylbekova, Ermeg L, Aldrich, Melinda C, Ambrosone, Christine B, Amos, Christopher, Bandera, Elisa V, Berndt, Sonja I, Bernstein, Leslie, Blot, William J, Bock, Cathryn H, Boerwinkle, Eric, Cai, Qiuyin, Caporaso, Neil, Casey, Graham, Adrienne Cupples, L, Deming, Sandra L, Ryan Diver, W, Divers, Jasmin, Fornage, Myriam, Gillanders, Elizabeth M, Glessner, Joseph, Harris, Curtis C, Hu, Jennifer J, Ingles, Sue A, Isaacs, William, John, Esther M, Linda Kao, WH, Keating, Brendan, Kittles, Rick A, Kolonel, Laurence N, Larkin, Emma, Le Marchand, Loic, McNeill, Lorna H, Millikan, Robert C, Murphy, Musani, Solomon, Neslund-Dudas, Christine, Nyante, Sarah, Papanicolaou, George J, Press, Michael F, Psaty, Bruce M, Reiner, Alex P, Rich, Stephen S, Rodriguez-Gil, Jorge L, Rotter, Jerome I, Rybicki, Benjamin A, Schwartz, Ann G, Signorello, Lisa B, Spitz, Margaret, Strom, Sara S, Thun, Michael J, Tucker, Margaret A, Wang, Zhaoming, Wiencke, John K, Witte, John S, Wrensch, Margaret, Wu, Xifeng, Yamamura, Yuko, Zanetti, Krista A, Zheng, Wei, Ziegler, Regina G, Zhu, Xiaofeng, Redline, Susan, Hirschhorn, Joel N, Henderson, Brian E, Taylor Jr, Herman A, Price, Alkes L, Hakonarson, Hakon, Chanock, Stephen J, Haiman, Christopher A, Wilson, James G, Reich, David, and Myers, Simon R
Subjects: Biological Sciences, Genetics, Human Genome, Biotechnology, Africa, Western, Black or African American, Alleles, Amino Acid Motifs, Base Sequence, Chromosome Mapping, Crossing Over, Genetic, Europe, Evolution, Molecular, Female, Gene Frequency, Genetics, Population, Genome, Human, Genomics, Haplotypes, Histone-Lysine N-Methyltransferase, Humans, Male, Molecular Sequence Data, Pedigree, Polymorphism, Single Nucleotide, Probability, White People, General Science & Technology
Abstract: Recombination, together with mutation, gives rise to genetic variation in populations. Here we leverage the recent mixture of people of African and European ancestry in the Americas to build a genetic map measuring the probability of crossing over at each position in the genome, based on about 2.1 million crossovers in 30,000 unrelated African Americans. At intervals of more than three megabases it is nearly identical to a map built in Europeans. At finer scales it differs significantly, and we identify about 2,500 recombination hotspots that are active in people of West African ancestry but nearly inactive in Europeans. The probability of a crossover at these hotspots is almost fully controlled by the alleles an individual carries at PRDM9 (P value
Published: 2011

173. Genome-wide association study of prostate cancer in men of African ancestry identifies a susceptibility locus at 17q21

Author: Haiman, Christopher A, Chen, Gary K, Blot, William J, Strom, Sara S, Berndt, Sonja I, Kittles, Rick A, Rybicki, Benjamin A, Isaacs, William B, Ingles, Sue A, Stanford, Janet L, Diver, W Ryan, Witte, John S, Hsing, Ann W, Nemesure, Barbara, Rebbeck, Timothy R, Cooney, Kathleen A, Xu, Jianfeng, Kibel, Adam S, Hu, Jennifer J, John, Esther M, Gueye, Serigne M, Watya, Stephen, Signorello, Lisa B, Hayes, Richard B, Wang, Zhaoming, Yeboah, Edward, Tettey, Yao, Cai, Qiuyin, Kolb, Suzanne, Ostrander, Elaine A, Zeigler-Johnson, Charnita, Yamamura, Yuko, Neslund-Dudas, Christine, Haslag-Minoff, Jennifer, Wu, William, Thomas, Venetta, Allen, Glenn O, Murphy, Adam, Chang, Bao-Li, Zheng, S Lilly, Leske, M Cristina, Wu, Suh-Yuh, Ray, Anna M, Hennis, Anselm JM, Thun, Michael J, Carpten, John, Casey, Graham, Carter, Erin N, Duarte, Edder R, Xia, Lucy Y, Sheng, Xin, Wan, Peggy, Pooler, Loreall C, Cheng, Iona, Monroe, Kristine R, Schumacher, Fredrick, Le Marchand, Loic, Kolonel, Laurence N, Chanock, Stephen J, Berg, David Van Den, Stram, Daniel O, and Henderson, Brian E
Subjects: Biological Sciences, Genetics, Human Genome, Aging, Urologic Diseases, Prevention, Prostate Cancer, Cancer, 2.1 Biological and endogenous factors, Aetiology, Black or African American, Chromosomes, Human, Pair 17, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: In search of common risk alleles for prostate cancer that could contribute to high rates of the disease in men of African ancestry, we conducted a genome-wide association study, with 1,047,986 SNP markers examined in 3,425 African-Americans with prostate cancer (cases) and 3,290 African-American male controls. We followed up the most significant 17 new associations from stage 1 in 1,844 cases and 3,269 controls of African ancestry. We identified a new risk variant on chromosome 17q21 (rs7210100, odds ratio per allele = 1.51, P = 3.4 × 10(-13)). The frequency of the risk allele is ∼5% in men of African descent, whereas it is rare in other populations (
Published: 2011

174. Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.

Author: Pasaniuc, Bogdan, Zaitlen, Noah, Lettre, Guillaume, Chen, Gary K, Tandon, Arti, Kao, WH Linda, Ruczinski, Ingo, Fornage, Myriam, Siscovick, David S, Zhu, Xiaofeng, Larkin, Emma, Lange, Leslie A, Cupples, L Adrienne, Yang, Qiong, Akylbekova, Ermeg L, Musani, Solomon K, Divers, Jasmin, Mychaleckyj, Joe, Li, Mingyao, Papanicolaou, George J, Millikan, Robert C, Ambrosone, Christine B, John, Esther M, Bernstein, Leslie, Zheng, Wei, Hu, Jennifer J, Ziegler, Regina G, Nyante, Sarah J, Bandera, Elisa V, Ingles, Sue A, Press, Michael F, Chanock, Stephen J, Deming, Sandra L, Rodriguez-Gil, Jorge L, Palmer, Cameron D, Buxbaum, Sarah, Ekunwe, Lynette, Hirschhorn, Joel N, Henderson, Brian E, Myers, Simon, Haiman, Christopher A, Reich, David, Patterson, Nick, Wilson, James G, and Price, Alkes L
Subjects: Humans, Breast Neoplasms, Coronary Disease, Diabetes Mellitus, Type 2, Odds Ratio, Chromosome Mapping, Genetics, Population, Gene Frequency, Genotype, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Genome, Human, Algorithms, Principal Component Analysis, Software, African Americans, Female, Male, Receptor, Fibroblast Growth Factor, Type 2, Genetic Variation, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Genetics, Population, Polymorphism, Single Nucleotide, Genome, Human, Receptor, Fibroblast Growth Factor, Developmental Biology
Abstract: While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.
Published: 2011

175. GWAS of Follicular Lymphoma Reveals Allelic Heterogeneity at 6p21.32 and Suggests Shared Genetic Susceptibility with Diffuse Large B-cell Lymphoma

Author: Smedby, Karin E, Foo, Jia Nee, Skibola, Christine F, Darabi, Hatef, Conde, Lucia, Hjalgrim, Henrik, Kumar, Vikrant, Chang, Ellen T, Rothman, Nathaniel, Cerhan, James R, Brooks-Wilson, Angela R, Rehnberg, Emil, Irwan, Ishak D, Ryder, Lars P, Brown, Peter N, Bracci, Paige M, Agana, Luz, Riby, Jacques, Cozen, Wendy, Davis, Scott, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Wang, Sophia S, Slager, Susan L, Fredericksen, Zachary S, Novak, Anne J, Kay, Neil E, Habermann, Thomas M, Armstrong, Bruce, Kricker, Anne, Milliken, Sam, Purdue, Mark P, Vajdic, Claire M, Boyle, Peter, Lan, Qing, Zahm, Shelia H, Zhang, Yawei, Zheng, Tongzhang, Leach, Stephen, Spinelli, John J, Smith, Martyn T, Chanock, Stephen J, Padyukov, Leonid, Alfredsson, Lars, Klareskog, Lars, Glimelius, Bengt, Melbye, Mads, Liu, Edison T, Adami, Hans-Olov, Humphreys, Keith, and Liu, Jianjun
Subjects: Human Genome, Hematology, Rare Diseases, Cancer, Lymphoma, Genetics, Aetiology, 2.1 Biological and endogenous factors, Chromosomes, Human, Pair 6, Denmark, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Genome-Wide Association Study, Haplotypes, Histocompatibility Antigens Class II, Humans, Lymphoma, Follicular, Lymphoma, Large B-Cell, Diffuse, Polymorphism, Single Nucleotide, Risk Factors, Sweden, Developmental Biology
Abstract: Non-Hodgkin lymphoma (NHL) represents a diverse group of hematological malignancies, of which follicular lymphoma (FL) is a prevalent subtype. A previous genome-wide association study has established a marker, rs10484561 in the human leukocyte antigen (HLA) class II region on 6p21.32 associated with increased FL risk. Here, in a three-stage genome-wide association study, starting with a genome-wide scan of 379 FL cases and 791 controls followed by validation in 1,049 cases and 5,790 controls, we identified a second independent FL-associated locus on 6p21.32, rs2647012 (OR(combined) = 0.64, P(combined) = 2 × 10(-21)) located 962 bp away from rs10484561 (r(2)
Published: 2011

176. Discovery of Novel Biomarkers by Microarray Analysis of Peripheral Blood Mononuclear Cell Gene Expression in Benzene-Exposed Workers

Author: Forrest, Matthew S., Lan, Qing, Hubbard, Alan E., Zhang, Luoping, Vermeulen, Roel, Zhao, Xin, Li, Guilan, Wu, Yen-Ying, Shen, Min, Yin, Songnian, Chanock, Stephen J., Rothman, Nathaniel, and Smith, Martyn T.
Published: 2005

177. Variant ABO Blood Group Alleles, Secretor Status, and Risk of Pancreatic Cancer: Results from the Pancreatic Cancer Cohort Consortium

Author: Wolpin, Brian M, Kraft, Peter, Xu, Mousheng, Steplowski, Emily, Olsson, Martin L, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Stolzenberg-Solomon, Rachael Z, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Austin, Melissa A, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Gaziano, J Michael, Giovannucci, Edward L, Hallmans, Göran, Hankinson, Susan E, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kooperberg, Charles, Mendelsohn, Julie B, Michaud, Dominique S, Overvad, Kim, Patel, Alpa V, Sanchéz, Maria-José, Sansbury, Leah, Shu, Xiao-Ou, Slimani, Nadia, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vineis, Paolo, Visvanathan, Kala, Virtamo, Jarmo, Wactawski-Wende, Jean, Watters, Joanne, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hartge, Patricia, and Fuchs, Charles S
Subjects: Digestive Diseases, Cancer, Clinical Research, Genetics, Rare Diseases, Pancreatic Cancer, Prevention, Human Genome, Aetiology, 2.1 Biological and endogenous factors, ABO Blood-Group System, Alleles, Cohort Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glycosyltransferases, Humans, Odds Ratio, Pancreatic Neoplasms, Phenotype, Polymorphism, Single Nucleotide, Medical and Health Sciences, Epidemiology
Abstract: BackgroundSubjects with non-O ABO blood group alleles have increased risk of pancreatic cancer. Glycosyltransferase activity is greater for the A(1) versus A(2) variant, whereas O01 and O02 variants are nonfunctioning. We hypothesized: 1) A(1) allele would confer greater risk than A(2) allele, 2) protective effect of the O allele would be equivalent for O01 and O02 variants, 3) secretor phenotype would modify the association with risk.MethodsWe determined ABO variants and secretor phenotype from single nucleotide polymorphisms in ABO and FUT2 genes in 1,533 cases and 1,582 controls from 12 prospective cohort studies. Adjusted odds ratios (OR) for pancreatic cancer were calculated using logistic regression.ResultsAn increased risk was observed in participants with A(1) but not A(2) alleles. Compared with subjects with genotype O/O, genotypes A(2)/O, A(2)/A(1), A(1)/O, and A(1)/A(1) had ORs of 0.96 (95% CI, 0.72-1.26), 1.46 (95% CI, 0.98-2.17), 1.48 (95% CI, 1.23-1.78), and 1.71 (95% CI, 1.18-2.47). Risk was similar for O01 and O02 variant O alleles. Compared with O01/O01, the ORs for each additional allele of O02, A(1), and A(2) were 1.00 (95% CI, 0.87-1.14), 1.38 (95% CI, 1.20-1.58), and 0.96 (95% CI, 0.77-1.20); P, O01 versus O02 = 0.94, A(1) versus A(2) = 0.004. Secretor phenotype was not an effect modifier (P-interaction = 0.63).ConclusionsAmong participants in a large prospective cohort consortium, ABO allele subtypes corresponding to increased glycosyltransferase activity were associated with increased pancreatic cancer risk.ImpactThese data support the hypothesis that ABO glycosyltransferase activity influences pancreatic cancer risk rather than actions of other nearby genes on chromosome 9q34.
Published: 2010

178. Family history of cancer and risk of pancreatic cancer: a pooled analysis from the Pancreatic Cancer Cohort Consortium (PanScan).

Author: Jacobs, Eric J, Chanock, Stephen J, Fuchs, Charles S, Lacroix, Andrea, McWilliams, Robert R, Steplowski, Emily, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Petersen, Gloria, Zheng, Wei, Agalliu, Ilir, Allen, Naomi E, Amundadottir, Laufey, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Clipp, Sandra, Dorronsoro, Miren, Gaziano, J Michael, Giovannucci, Edward L, Hankinson, Susan E, Hartge, Patricia, Hoover, Robert N, Hunter, David J, Jacobs, Kevin B, Jenab, Mazda, Kraft, Peter, Kooperberg, Charles, Lynch, Shannon M, Sund, Malin, Mendelsohn, Julie B, Mouw, Tracy, Newton, Christina C, Overvad, Kim, Palli, Domenico, Peeters, Petra HM, Rajkovic, Aleksandar, Shu, Xiao-Ou, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Wactawski-Wende, Jean, Wolpin, Brian M, Yu, Kai, and Zeleniuch-Jacquotte, Anne
Subjects: Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Genome-Wide Association Study, Colo-Rectal Cancer, Clinical Research, Rare Diseases, Aging, Cancer, Digestive Diseases, Prostate Cancer, Ovarian Cancer, Pancreatic Cancer, Breast Cancer, Prevention, Urologic Diseases, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract: A family history of pancreatic cancer has consistently been associated with increased risk of pancreatic cancer. However, uncertainty remains about the strength of this association. Results from previous studies suggest a family history of select cancers (i.e., ovarian, breast and colorectal) could also be associated, although not as strongly, with increased risk of pancreatic cancer. We examined the association between a family history of 5 types of cancer (pancreas, prostate, ovarian, breast and colorectal) and risk of pancreatic cancer using data from a collaborative nested case-control study conducted by the Pancreatic Cancer Cohort Consortium. Cases and controls were from cohort studies from the United States, Europe and China, and a case-control study from the Mayo Clinic. Analyses of family history of pancreatic cancer included 1,183 cases and 1,205 controls. A family history of pancreatic cancer in a parent, sibling or child was associated with increased risk of pancreatic cancer [multivariate-adjusted odds ratios (ORs) = 1.76, 95% confidence interval (CI) = 1.19-2.61]. A family history of prostate cancer was also associated with increased risk (OR = 1.45, 95% CI = 1.12-1.89). There were no statistically significant associations with a family history of ovarian cancer (OR = 0.82, 95% CI = 0.52-1.31), breast cancer (OR = 1.21, 95% CI = 0.97-1.51) or colorectal cancer (OR = 1.17, 95% CI = 0.93-1.47). Our results confirm a moderate sized association between a family history of pancreatic cancer and risk of pancreatic cancer and also provide evidence for an association with a family history of prostate cancer worth further study.
Published: 2010

179. Alcohol intake and pancreatic cancer: a pooled analysis from the pancreatic cancer cohort consortium (PanScan)

Author: Michaud, Dominique S, Vrieling, Alina, Jiao, Li, Mendelsohn, Julie B, Steplowski, Emily, Lynch, Shannon M, Wactawski-Wende, Jean, Arslan, Alan A, Bas Bueno-de-Mesquita, H, Fuchs, Charles S, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Zheng, Wei, Allen, Naomi, Ammundadottir, Laufey, Bergmann, Manuela M, Boffetta, Paolo, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Clavel-Chapelon, Françoise, Clipp, Sandra, Freiberg, Matthew S, Michael Gaziano, J, Giovannucci, Edward L, Hankinson, Susan, Hartge, Patricia, Hoover, Robert N, Allan Hubbell, F, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin, Kooperberg, Charles, Kraft, Peter, Manjer, Jonas, Navarro, Carmen, Peeters, Petra HM, Shu, Xiao-Ou, Stevens, Victoria, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Tumino, Rosario, Vineis, Paolo, Virtamo, Jarmo, Wallace, Robert, Wolpin, Brian M, Yu, Kai, Zeleniuch-Jacquotte, Anne, and Stolzenberg-Solomon, Rachael Z
Subjects: Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Alcoholism, Alcohol Use and Health, Cancer, Digestive Diseases, Pancreatic Cancer, Rare Diseases, Clinical Research, Substance Misuse, Oral and gastrointestinal, Good Health and Well Being, Aged, Alcohol Drinking, Case-Control Studies, Cohort Studies, Female, Humans, Male, Pancreatic Neoplasms, Prospective Studies, Alcohol, Pancreatic cancer, Pooled analysis, Oncology and Carcinogenesis, Public Health and Health Services, Epidemiology, Oncology and carcinogenesis
Abstract: The literature has consistently reported no association between low to moderate alcohol consumption and pancreatic cancer; however, a few studies have shown that high levels of intake may increase risk. Most single studies have limited power to detect associations even in the highest alcohol intake categories or to examine associations by alcohol type. We analyzed these associations using 1,530 pancreatic cancer cases and 1,530 controls from the Pancreatic Cancer Cohort Consortium (PanScan) nested case-control study. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated using unconditional logistic regression, adjusting for potential confounders. We observed no significant overall association between total alcohol (ethanol) intake and pancreatic cancer risk (OR = 1.38, 95% CI = 0.86-2.23, for 60 or more g/day vs. >0 to
Published: 2010

180. Evaluation of Candidate Stromal Epithelial Cross-Talk Genes Identifies Association between Risk of Serous Ovarian Cancer and TERT, a Cancer Susceptibility â��Hot-Spotâ��

Author: Johnatty, Sharon E, Beesley, Jonathan, Chen, Xiaoqing, Macgregor, Stuart, Duffy, David L, Spurdle, Amanda B, deFazio, Anna, Gava, Natalie, Webb, Penelope M, Rossing, Mary Anne, Doherty, Jennifer Anne, Goodman, Marc T, Lurie, Galina, Thompson, Pamela J, Wilkens, Lynne R, Ness, Roberta B, Moysich, Kirsten B, Chang-Claude, Jenny, Wang-Gohrke, Shan, Cramer, Daniel W, Terry, Kathryn L, Hankinson, Susan E, Tworoger, Shelley S, Garcia-Closas, Montserrat, Yang, Hannah, Lissowska, Jolanta, Chanock, Stephen J, Pharoah, Paul D, Song, Honglin, Whitemore, Alice S, Pearce, Celeste L, Stram, Daniel O, Wu, Anna H, Pike, Malcolm C, Gayther, Simon A, Ramus, Susan J, Menon, Usha, Gentry-Maharaj, Aleksandra, Anton-Culver, Hoda, Ziogas, Argyrios, Hogdall, Estrid, Kjaer, Susanne K, Hogdall, Claus, Berchuck, Andrew, Schildkraut, Joellen M, Iversen, Edwin S, Moorman, Patricia G, Phelan, Catherine M, Sellers, Thomas A, Cunningham, Julie M, Vierkant, Robert A, Rider, David N, Goode, Ellen L, Haviv, Izhak, Chenevix-Trench, Georgia, Dermitzakis, Emmanouil T, and Ovarian Cancer Association Consortium", .
Subjects: genome-wide association, single-nucleotide polymorphisms, incessant ovulation, colorectal-cancer, expression, consortium, variants, prostate, locus, myc
Abstract: We hypothesized that variants in genes expressed as a consequence of interactions between ovarian cancer cells and the host micro-environment could contribute to cancer susceptibility. We therefore used a two-stage approach to evaluate common single nucleotide polymorphisms (SNPs) in 173 genes involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC). In the discovery stage, cases with epithelial ovarian cancer (n = 675) and controls (n = 1,162) were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three SNPs-PODXL rs1013368, ITGA6 rs13027811, and MMP3 rs522616-were selected for replication using TaqMan genotyping in up to 3,059 serous invasive cases and 8,905 controls from 16 OCAC case-control studies. An additional 18 SNPs with P(per-allele)= 0.5). However genotypes at TERT rs7726159 were associated with ovarian cancer risk in the smaller, five-study replication study (P(per-allele)=0.03). Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. OR(per-allele) 1.14 (1.04-1.24) p = 0.003]. Our study adds to the growing evidence that, like the 8q24 locus, the telomerase reverse transcriptase locus at 5p15.33, is a general cancer susceptibility locus.
Published: 2010

181. Evaluation of association of HNF1B variants with diverse cancers: collaborative analysis of data from 19 genome-wide association studies.

Author: Elliott, Katherine S, Zeggini, Eleftheria, McCarthy, Mark I, Gudmundsson, Julius, Sulem, Patrick, Stacey, Simon N, Thorlacius, Steinunn, Amundadottir, Laufey, Grönberg, Henrik, Xu, Jianfeng, Gaborieau, Valerie, Eeles, Rosalind A, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Muir, Kenneth, Hwang, Shih-Jen, Spitz, Margaret R, Zanke, Brent, Carvajal-Carmona, Luis, Brown, Kevin M, Australian Melanoma Family Study Investigators, Hayward, Nicholas K, Macgregor, Stuart, Tomlinson, Ian PM, Lemire, Mathieu, Amos, Christopher I, Murabito, Joanne M, Isaacs, William B, Easton, Douglas F, Brennan, Paul, PanScan Consortium, Barkardottir, Rosa B, Gudbjartsson, Daniel F, Rafnar, Thorunn, Hunter, David J, Chanock, Stephen J, Stefansson, Kari, and Ioannidis, John PA
Subjects: Australian Melanoma Family Study Investigators, PanScan Consortium, Humans, Neoplasms, Genetic Predisposition to Disease, Cooperative Behavior, Polymorphism, Single Nucleotide, Databases, Genetic, Hepatocyte Nuclear Factor 1-beta, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Databases, Genetic, General Science & Technology
Abstract: BackgroundGenome-wide association studies have found type 2 diabetes-associated variants in the HNF1B gene to exhibit reciprocal associations with prostate cancer risk. We aimed to identify whether these variants may have an effect on cancer risk in general versus a specific effect on prostate cancer only.Methodology/principal findingsIn a collaborative analysis, we collected data from GWAS of cancer phenotypes for the frequently reported variants of HNF1B, rs4430796 and rs7501939, which are in linkage disequilibrium (r(2) = 0.76, HapMap CEU). Overall, the analysis included 16 datasets on rs4430796 with 19,640 cancer cases and 21,929 controls; and 21 datasets on rs7501939 with 26,923 cases and 49,085 controls. Malignancies other than prostate cancer included colorectal, breast, lung and pancreatic cancers, and melanoma. Meta-analysis showed large between-dataset heterogeneity that was driven by different effects in prostate cancer and other cancers. The per-T2D-risk-allele odds ratios (95% confidence intervals) for rs4430796 were 0.79 (0.76, 0.83)] per G allele for prostate cancer (p
Published: 2010

182. Anthropometric Measures, Body Mass Index, and Pancreatic Cancer: A Pooled Analysis From the Pancreatic Cancer Cohort Consortium (PanScan)

Author: Arslan, Alan A, Helzlsouer, Kathy J, Kooperberg, Charles, Shu, Xiao-Ou, Steplowski, Emily, Bueno-de-Mesquita, H Bas, Fuchs, Charles S, Gross, Myron D, Jacobs, Eric J, Lacroix, Andrea Z, Petersen, Gloria M, Stolzenberg-Solomon, Rachael Z, Zheng, Wei, Albanes, Demetrius, Amundadottir, Laufey, Bamlet, William R, Barricarte, Aurelio, Bingham, Sheila A, Boeing, Heiner, Boutron-Ruault, Marie-Christine, Buring, Julie E, Chanock, Stephen J, Clipp, Sandra, Gaziano, J Michael, Giovannucci, Edward L, Hankinson, Susan E, Hartge, Patricia, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kraft, Peter, Lynch, Shannon M, Manjer, Jonas, Manson, Joann E, McTiernan, Anne, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Palli, Domenico, Rohan, Thomas E, Slimani, Nadia, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Wolpin, Brian M, Yu, Kai, Zeleniuch-Jacquotte, Anne, and Patel, Alpa V
Subjects: Obesity, Cancer, Clinical Research, Nutrition, Prevention, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Adult, Aged, Aged, 80 and over, Body Mass Index, Case-Control Studies, Female, Humans, Logistic Models, Male, Middle Aged, Overweight, Pancreatic Neoplasms, Risk Factors, Sex Distribution, United States, Waist Circumference, Pancreatic Cancer Cohort Consortium, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services
Abstract: BackgroundObesity has been proposed as a risk factor for pancreatic cancer.MethodsPooled data were analyzed from the National Cancer Institute Pancreatic Cancer Cohort Consortium (PanScan) to study the association between prediagnostic anthropometric measures and risk of pancreatic cancer. PanScan applied a nested case-control study design and included 2170 cases and 2209 control subjects. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression for cohort-specific quartiles of body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]), weight, height, waist circumference, and waist to hip ratio as well as conventional BMI categories (underweight, or = 35.0). Models were adjusted for potential confounders.ResultsIn all of the participants, a positive association between increasing BMI and risk of pancreatic cancer was observed (adjusted OR for the highest vs lowest BMI quartile, 1.33; 95% CI, 1.12-1.58; P(trend) < .001). In men, the adjusted OR for pancreatic cancer for the highest vs lowest quartile of BMI was 1.33 (95% CI, 1.04-1.69; P(trend) < .03), and in women it was 1.34 (95% CI, 1.05-1.70; P(trend) = .01). Increased waist to hip ratio was associated with increased risk of pancreatic cancer in women (adjusted OR for the highest vs lowest quartile, 1.87; 95% CI, 1.31-2.69; P(trend) = .003) but less so in men.ConclusionsThese findings provide strong support for a positive association between BMI and pancreatic cancer risk. In addition, centralized fat distribution may increase pancreatic cancer risk, especially in women.
Published: 2010

183. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33.

Author: Petersen, Gloria M, Amundadottir, Laufey, Fuchs, Charles S, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Jacobs, Kevin B, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gallinger, Steven, Gross, Myron, Helzlsouer, Kathy, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, LaCroix, Andrea, Li, Donghui, Mandelson, Margaret T, Olson, Sara H, Risch, Harvey A, Zheng, Wei, Albanes, Demetrius, Bamlet, William R, Berg, Christine D, Boutron-Ruault, Marie-Christine, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Howard, Barbara, Hunter, David J, Hutchinson, Amy, Jenab, Mazda, Kaaks, Rudolf, Kooperberg, Charles, Krogh, Vittorio, Kurtz, Robert C, Lynch, Shannon M, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Parikh, Hemang, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Rodriguez, Laudina, Seminara, Daniela, Shu, Xiao-Ou, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wang, Zhaoming, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Fraumeni, Joseph F, Hoover, Robert N, Hartge, Patricia, and Chanock, Stephen J
Subjects: Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 13, Humans, Carcinoma, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: We conducted a genome-wide association study of pancreatic cancer in 3,851 affected individuals (cases) and 3,934 unaffected controls drawn from 12 prospective cohort studies and 8 case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P = 3.27 x 10(-11), per-allele odds ratio (OR) 1.26, 95% CI 1.18-1.35) and rs9564966 (P = 5.86 x 10(-8), per-allele OR 1.21, 95% CI 1.13-1.30), map to a nongenic region on chromosome 13q22.1. Five SNPs on 1q32.1 map to NR5A2, and the strongest signal was at rs3790844 (P = 2.45 x 10(-10), per-allele OR 0.77, 95% CI 0.71-0.84). A single SNP, rs401681 (P = 3.66 x 10(-7), per-allele OR 1.19, 95% CI 1.11-1.27), maps to the CLPTM1L-TERT locus on 5p15.33, which is associated with multiple cancers. Our study has identified common susceptibility loci for pancreatic cancer that warrant follow-up studies.
Published: 2010

184. Pancreatic cancer risk and ABO blood group alleles: results from the pancreatic cancer cohort consortium.

Author: Wolpin, Brian M, Kraft, Peter, Gross, Myron, Helzlsouer, Kathy, Bueno-de-Mesquita, H Bas, Steplowski, Emily, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Jacobs, Eric J, Lacroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Anderson, Garnet, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Clipp, Sandra, Gaziano, John Michael, Giovannucci, Edward L, Hallmans, Göran, Hankinson, Susan E, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin, Kooperberg, Charles, Lynch, Shannon M, Mendelsohn, Julie B, Michaud, Dominique S, Overvad, Kim, Patel, Alpa V, Rajkovic, Aleksandar, Sanchéz, Maria-José, Shu, Xiao-Ou, Slimani, Nadia, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vineis, Paolo, Virtamo, Jarmo, Wactawski-Wende, Jean, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hartge, Patricia, and Fuchs, Charles S
Subjects: Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Cohort Studies, Gene Frequency, Genotype, Alleles, Aged, Middle Aged, Female, Male, Clinical Research, Genetics, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Cancer, Prevention, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract: A recent genome-wide association study (PanScan) identified significant associations at the ABO gene locus with risk of pancreatic cancer, but the influence of specific ABO genotypes remains unknown. We determined ABO genotypes (OO, AO, AA, AB, BO, and BB) in 1,534 cases and 1,583 controls from 12 prospective cohorts in PanScan, grouping participants by genotype-derived serologic blood type (O, A, AB, and B). Adjusted odds ratios (ORs) for pancreatic cancer by ABO alleles were calculated using logistic regression. Compared with blood type O, the ORs for pancreatic cancer in subjects with types A, AB, and B were 1.38 [95% confidence interval (95% CI), 1.18-1.62], 1.47 (95% CI, 1.07-2.02), and 1.53 (95% CI, 1.21-1.92), respectively. The incidence rates for blood types O, A, AB, and B were 28.9, 39.9, 41.8, and 44.5 cases per 100,000 subjects per year. An increase in risk was noted with the addition of each non-O allele. Compared with OO genotype, subjects with AO and AA genotype had ORs of 1.33 (95% CI, 1.13-1.58) and 1.61 (95% CI, 1.22-2.18), whereas subjects with BO and BB genotypes had ORs of 1.45 (95% CI, 1.14-1.85) and 2.42 (1.28-4.57). The population attributable fraction for non-O blood type was 19.5%. In a joint model with smoking, current smokers with non-O blood type had an adjusted OR of 2.68 (95% CI, 2.03-3.54) compared with nonsmokers of blood type O. We concluded that ABO genotypes were significantly associated with pancreatic cancer risk.
Published: 2010

185. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer.

Author: Amundadottir, Laufey, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Fuchs, Charles S, Petersen, Gloria M, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Zheng, Wei, Albanes, Demetrius, Bamlet, William, Berg, Christine D, Berrino, Franco, Bingham, Sheila, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clavel-Chapelon, Françoise, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Fox, John W, Gallinger, Steven, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, González, Carlos A, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Holly, Elizabeth A, Hunter, David J, Hutchinson, Amy, Jackson, Rebecca, Jacobs, Kevin B, Jenab, Mazda, Kaaks, Rudolf, Klein, Alison P, Kooperberg, Charles, Kurtz, Robert C, Li, Donghui, Lynch, Shannon M, Mandelson, Margaret, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Olson, Sara H, Overvad, Kim, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Risch, Harvey A, Shu, Xiao-Ou, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Chanock, Stephen J, Hartge, Patricia, and Hoover, Robert N
Subjects: Chromosomes, Human, Pair 9, Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Case-Control Studies, Cohort Studies, Prospective Studies, Gene Frequency, Genotype, Haplotypes, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Alleles, Introns, United States, Female, Male, Genetic Variation, Genome-Wide Association Study, Prevention, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: We conducted a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide. We genotyped 558,542 SNPs in 1,896 individuals with pancreatic cancer and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study. We conducted a combined analysis of these groups plus an additional 2,457 affected individuals and 2,654 controls from eight case-control studies, adjusting for study, sex, ancestry and five principal components. We identified an association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 (combined P = 5.37 x 10(-8); multiplicative per-allele odds ratio 1.20; 95% confidence interval 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B.
Published: 2009

186. Cigarette Smoking and Pancreatic Cancer: A Pooled Analysis From the Pancreatic Cancer Cohort Consortium

Author: Lynch, Shannon M, Vrieling, Alina, Lubin, Jay H, Kraft, Peter, Mendelsohn, Julie B, Hartge, Patricia, Canzian, Federico, Steplowski, Emily, Arslan, Alan A, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Amundadottir, Laufey, Bingham, Sheila A, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Chanock, Stephen J, Clipp, Sandra, Hoover, Robert N, Jacobs, Kevin, Johnson, Karen C, Kooperberg, Charles, Luo, Juhua, Messina, Catherine, Palli, Domenico, Patel, Alpa V, Riboli, Elio, Shu, Xiao-Ou, Rodriguez Suarez, Laudina, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Tong, Elissa, Trichopoulos, Dimitrios, Virtamo, Jarmo, Ye, Weimin, Yu, Kai, Zeleniuch-Jacquette, Anne, Bueno-de-Mesquita, H Bas, and Stolzenberg-Solomon, Rachael Z
Subjects: Tobacco, Digestive Diseases, Cancer, Pancreatic Cancer, Rare Diseases, Prevention, Tobacco Smoke and Health, Prevention of disease and conditions, and promotion of well-being, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Case-Control Studies, Cohort Studies, Female, Humans, Male, Middle Aged, Pancreatic Neoplasms, Prospective Studies, Risk, Smoking, Smoking Cessation, United States, pancreas, pancreatic neoplasms, smoking, tobacco use cessation, Mathematical Sciences, Medical and Health Sciences, Epidemiology
Abstract: Smoking is an established risk factor for pancreatic cancer; however, detailed examination of the association of smoking intensity, smoking duration, and cumulative smoking dose with pancreatic cancer is limited. The authors analyzed pooled data from the international Pancreatic Cancer Cohort Consortium nested case-control study (1,481 cases, 1,539 controls). Odds ratios and 95% confidence intervals were calculated by using unconditional logistic regression. Smoking intensity effects were examined with an excess odds ratio model that was linear in pack-years and exponential in cigarettes smoked per day and its square. When compared with never smokers, current smokers had a significantly elevated risk (odds ratio (OR) = 1.77, 95% confidence interval (CI): 1.38, 2.26). Risk increased significantly with greater intensity (> or =30 cigarettes/day: OR = 1.75, 95% CI: 1.27, 2.42), duration (> or =50 years: OR = 2.13, 95% CI: 1.25, 3.62), and cumulative smoking dose (> or =40 pack-years: OR = 1.78, 95% CI: 1.35, 2.34). Risk more than 15 years after smoking cessation was similar to that for never smokers. Estimates of excess odds ratio per pack-year declined with increasing intensity, suggesting greater risk for total exposure delivered at lower intensity for longer duration than for higher intensity for shorter duration. This finding and the decline in risk after smoking cessation suggest that smoking has a late-stage effect on pancreatic carcinogenesis.
Published: 2009

187. Serum biomarkers are altered in UK Biobank participants with mosaic chromosomal alterations

Author: Hubbard, Aubrey K, primary, Brown, Derek W, additional, Zhou, Weiyin, additional, Lin, Shu-Hong, additional, Genovese, Giulio, additional, Chanock, Stephen J, additional, and Machiela, Mitchell J, additional
Published: 2023
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188. Genetically inferred birthweight, height, and puberty timing and risk of osteosarcoma

Author: Gianferante, D. Matthew, primary, Moore, Amy, additional, Spector, Logan G., additional, Wheeler, William, additional, Yang, Tianzhong, additional, Hubbard, Aubrey, additional, Gorlick, Richard, additional, Patiño-Garcia, Ana, additional, Lecanda, Fernando, additional, Flanagan, Adrienne M., additional, Amary, Fernanda, additional, Andrulis, Irene L., additional, Wunder, Jay S., additional, Thomas, David M., additional, Ballinger, Mandy L., additional, Serra, Massimo, additional, Hattinger, Claudia, additional, Demerath, Ellen, additional, Johnson, Will, additional, Birmann, Brenda M., additional, De Vivo, Immaculata, additional, Giles, Graham, additional, Teras, Lauren R., additional, Arslan, Alan, additional, Vermeulen, Roel, additional, Sample, Jeannette, additional, Freedman, Neal D., additional, Huang, Wen-Yi, additional, Chanock, Stephen J., additional, Savage, Sharon A., additional, Berndt, Sonja I., additional, and Mirabello, Lisa, additional
Published: 2023
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189. Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry

Author: Darst, Burcu F., primary, Shen, Jiayi, additional, Madduri, Ravi K., additional, Rodriguez, Alexis A., additional, Xiao, Yukai, additional, Sheng, Xin, additional, Saunders, Edward J., additional, Dadaev, Tokhir, additional, Brook, Mark N., additional, Hoffmann, Thomas J., additional, Muir, Kenneth, additional, Wan, Peggy, additional, Le Marchand, Loic, additional, Wilkens, Lynne, additional, Wang, Ying, additional, Schleutker, Johanna, additional, MacInnis, Robert J., additional, Cybulski, Cezary, additional, Neal, David E., additional, Nordestgaard, Børge G., additional, Nielsen, Sune F., additional, Batra, Jyotsna, additional, Clements, Judith A., additional, Cancer BioResource, Australian Prostate, additional, Grönberg, Henrik, additional, Pashayan, Nora, additional, Travis, Ruth C., additional, Park, Jong Y., additional, Albanes, Demetrius, additional, Weinstein, Stephanie, additional, Mucci, Lorelei A., additional, Hunter, David J., additional, Penney, Kathryn L., additional, Tangen, Catherine M., additional, Hamilton, Robert J., additional, Parent, Marie-Élise, additional, Stanford, Janet L., additional, Koutros, Stella, additional, Wolk, Alicja, additional, Sørensen, Karina D., additional, Blot, William J., additional, Yeboah, Edward D., additional, Mensah, James E., additional, Lu, Yong-Jie, additional, Schaid, Daniel J., additional, Thibodeau, Stephen N., additional, West, Catharine M., additional, Maier, Christiane, additional, Kibel, Adam S., additional, Cancel-Tassin, Géraldine, additional, Menegaux, Florence, additional, John, Esther M., additional, Grindedal, Eli Marie, additional, Khaw, Kay-Tee, additional, Ingles, Sue A., additional, Vega, Ana, additional, Rosenstein, Barry S., additional, Teixeira, Manuel R., additional, Kogevinas, Manolis, additional, Cannon-Albright, Lisa, additional, Huff, Chad, additional, Multigner, Luc, additional, Kaneva, Radka, additional, Leach, Robin J., additional, Brenner, Hermann, additional, Hsing, Ann W., additional, Kittles, Rick A., additional, Murphy, Adam B., additional, Logothetis, Christopher J., additional, Neuhausen, Susan L., additional, Isaacs, William B., additional, Nemesure, Barbara, additional, Hennis, Anselm J., additional, Carpten, John, additional, Pandha, Hardev, additional, De Ruyck, Kim, additional, Xu, Jianfeng, additional, Razack, Azad, additional, Teo, Soo-Hwang, additional, Newcomb, Lisa F., additional, Fowke, Jay H., additional, Neslund-Dudas, Christine, additional, Rybicki, Benjamin A., additional, Gamulin, Marija, additional, Usmani, Nawaid, additional, Claessens, Frank, additional, Gago-Dominguez, Manuela, additional, Castelao, Jose Esteban, additional, Townsend, Paul A., additional, Crawford, Dana C., additional, Petrovics, Gyorgy, additional, Casey, Graham, additional, Roobol, Monique J., additional, Hu, Jennifer F., additional, Berndt, Sonja I., additional, Van Den Eeden, Stephen K., additional, Easton, Douglas F., additional, Chanock, Stephen J., additional, Cook, Michael B., additional, Wiklund, Fredrik, additional, Witte, John S., additional, Eeles, Rosalind A., additional, Kote-Jarai, Zsofia, additional, Watya, Stephen, additional, Gaziano, John M., additional, Justice, Amy C., additional, Conti, David V., additional, and Haiman, Christopher A., additional
Published: 2023
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190. Evidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry

Author: Chen, Fei, primary, Madduri, Ravi K., additional, Rodriguez, Alex A., additional, Darst, Burcu F., additional, Chou, Alisha, additional, Sheng, Xin, additional, Wang, Anqi, additional, Shen, Jiayi, additional, Saunders, Edward J., additional, Rhie, Suhn K., additional, Bensen, Jeannette T., additional, Ingles, Sue A., additional, Kittles, Rick A., additional, Strom, Sara S., additional, Rybicki, Benjamin A., additional, Nemesure, Barbara, additional, Isaacs, William B., additional, Stanford, Janet L., additional, Zheng, Wei, additional, Sanderson, Maureen, additional, John, Esther M., additional, Park, Jong Y., additional, Xu, Jianfeng, additional, Wang, Ying, additional, Berndt, Sonja I., additional, Huff, Chad D., additional, Yeboah, Edward D., additional, Tettey, Yao, additional, Lachance, Joseph, additional, Tang, Wei, additional, Rentsch, Christopher T., additional, Cho, Kelly, additional, Mcmahon, Benjamin H., additional, Biritwum, Richard B., additional, Adjei, Andrew A., additional, Tay, Evelyn, additional, Truelove, Ann, additional, Niwa, Shelley, additional, Sellers, Thomas A., additional, Yamoah, Kosj, additional, Murphy, Adam B., additional, Crawford, Dana C., additional, Patel, Alpa V., additional, Bush, William S., additional, Aldrich, Melinda C., additional, Cussenot, Olivier, additional, Petrovics, Gyorgy, additional, Cullen, Jennifer, additional, Neslund-Dudas, Christine M., additional, Stern, Mariana C., additional, Kote-Jarai, Zsofia, additional, Govindasami, Koveela, additional, Cook, Michael B., additional, Chokkalingam, Anand P., additional, Hsing, Ann W., additional, Goodman, Phyllis J., additional, Hoffmann, Thomas J., additional, Drake, Bettina F., additional, Hu, Jennifer J., additional, Keaton, Jacob M., additional, Hellwege, Jacklyn N., additional, Clark, Peter E., additional, Jalloh, Mohamed, additional, Gueye, Serigne M., additional, Niang, Lamine, additional, Ogunbiyi, Olufemi, additional, Idowu, Michael O., additional, Popoola, Olufemi, additional, Adebiyi, Akindele O., additional, Aisuodionoe-Shadrach, Oseremen I., additional, Ajibola, Hafees O., additional, Jamda, Mustapha A., additional, Oluwole, Olabode P., additional, Nwegbu, Maxwell, additional, Adusei, Ben, additional, Mante, Sunny, additional, Darkwa-Abrahams, Afua, additional, Mensah, James E., additional, Diop, Halimatou, additional, Van Den Eeden, Stephen K., additional, Blanchet, Pascal, additional, Fowke, Jay H., additional, Casey, Graham, additional, Hennis, Anselm J., additional, Lubwama, Alexander, additional, Thompson, Ian M., additional, Leach, Robin, additional, Easton, Douglas F., additional, Preuss, Michael H., additional, Loos, Ruth J., additional, Gundell, Susan M., additional, Wan, Peggy, additional, Mohler, James L., additional, Fontham, Elizabeth T., additional, Smith, Gary J., additional, Taylor, Jack A., additional, Srivastava, Shiv, additional, Eeles, Rosaline A., additional, Carpten, John D., additional, Kibel, Adam S., additional, Multigner, Luc, additional, Parent, Marie-Élise, additional, Menegaux, Florence, additional, Cancel-Tassin, Geraldine, additional, Klein, Eric A., additional, Andrews, Caroline, additional, Rebbeck, Timothy R., additional, Brureau, Laurent, additional, Ambs, Stefan, additional, Edwards, Todd L., additional, Watya, Stephen, additional, Chanock, Stephen J., additional, Witte, John S., additional, Blot, William J., additional, Michael Gaziano, J., additional, Justice, Amy C., additional, Conti, David V., additional, and Haiman, Christopher A., additional
Published: 2023
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191. Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses

Author: Dimou, Niki, primary, Kim, Andre E., additional, Flanagan, Orlagh, additional, Murphy, Neil, additional, Diez-Obrero, Virginia, additional, Shcherbina, Anna, additional, Aglago, Elom K., additional, Bouras, Emmanouil, additional, Campbell, Peter T., additional, Casey, Graham, additional, Gallinger, Steven, additional, Gruber, Stephen B., additional, Jenkins, Mark A., additional, Lin, Yi, additional, Moreno, Victor, additional, Ruiz-Narvaez, Edward, additional, Stern, Mariana C., additional, Tian, Yu, additional, Tsilidis, Kostas K., additional, Arndt, Volker, additional, Barry, Elizabeth L., additional, Baurley, James W., additional, Berndt, Sonja I., additional, Bézieau, Stéphane, additional, Bien, Stephanie A., additional, Bishop, D. Timothy, additional, Brenner, Hermann, additional, Budiarto, Arif, additional, Carreras-Torres, Robert, additional, Cenggoro, Tjeng Wawan, additional, Chan, Andrew T., additional, Chang-Claude, Jenny, additional, Chanock, Stephen J., additional, Chen, Xuechen, additional, Conti, David V., additional, Dampier, Christopher H., additional, Devall, Matthew, additional, Drew, David A., additional, Figueiredo, Jane C., additional, Giles, Graham G., additional, Gsur, Andrea, additional, Harrison, Tabitha A., additional, Hidaka, Akihisa, additional, Hoffmeister, Michael, additional, Huyghe, Jeroen R., additional, Jordahl, Kristina, additional, Kawaguchi, Eric, additional, Keku, Temitope O., additional, Larsson, Susanna C., additional, Le Marchand, Loic, additional, Lewinger, Juan Pablo, additional, Li, Li, additional, Mahesworo, Bharuno, additional, Morrison, John, additional, Newcomb, Polly A., additional, Newton, Christina C., additional, Obon-Santacana, Mireia, additional, Ose, Jennifer, additional, Pai, Rish K., additional, Palmer, Julie R., additional, Papadimitriou, Nikos, additional, Pardamean, Bens, additional, Peoples, Anita R., additional, Pharoah, Paul D. P., additional, Platz, Elizabeth A., additional, Potter, John D., additional, Rennert, Gad, additional, Scacheri, Peter C., additional, Schoen, Robert E., additional, Su, Yu-Ru, additional, Tangen, Catherine M., additional, Thibodeau, Stephen N., additional, Thomas, Duncan C., additional, Ulrich, Cornelia M., additional, Um, Caroline Y., additional, van Duijnhoven, Franzel J. B., additional, Visvanathan, Kala, additional, Vodicka, Pavel, additional, Vodickova, Ludmila, additional, White, Emily, additional, Wolk, Alicja, additional, Woods, Michael O., additional, Qu, Conghui, additional, Kundaje, Anshul, additional, Hsu, Li, additional, Gauderman, W. James, additional, Gunter, Marc J., additional, and Peters, Ulrike, additional
Published: 2023
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192. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization

Author: King, Sontoria D., primary, Veliginti, Swathi, additional, Brouwers, Martijn C.G.J., additional, Ren, Zhewen, additional, Zheng, Wei, additional, Setiawan, Veronica W., additional, Wilkens, Lynne R., additional, Shu, Xiao-Ou, additional, Arslan, Alan A., additional, Beane Freeman, Laura E., additional, Bracci, Paige M., additional, Canzian, Federico, additional, Du, Mengmeng, additional, Gallinger, Steven J., additional, Giles, Graham G., additional, Goodman, Phyllis J., additional, Haiman, Christopher A., additional, Kogevinas, Manolis, additional, Kooperberg, Charles, additional, LeMarchand, Loic, additional, Neale, Rachel E., additional, Visvanathan, Kala, additional, White, Emily, additional, Albanes, Demetrius, additional, Andreotti, Gabriella, additional, Babic, Ana, additional, Berndt, Sonja I., additional, Brais, Lauren K., additional, Brennan, Paul, additional, Buring, Julie E., additional, Rabe, Kari G., additional, Bamlet, William R., additional, Chanock, Stephen J., additional, Fuchs, Charles S., additional, Gaziano, J. Michael, additional, Giovannucci, Edward L., additional, Hackert, Thilo, additional, Hassan, Manal M., additional, Katzke, Verena, additional, Kurtz, Robert C., additional, Lee, I.-Min, additional, Malats, Núria, additional, Murphy, Neil, additional, Oberg, Ann L., additional, Orlow, Irene, additional, Porta, Miquel, additional, Real, Francisco X., additional, Rothman, Nathaniel, additional, Sesso, Howard D., additional, Silverman, Debra T., additional, Thompson, Ian M., additional, Wactawski-Wende, Jean, additional, Wang, Xiaoliang, additional, Wentzensen, Nicolas, additional, Yu, Herbert, additional, Zeleniuch-Jacquotte, Anne, additional, Yu, Kai, additional, Wolpin, Brian M., additional, Duell, Eric J., additional, Li, Donghui, additional, Hung, Rayjean J., additional, Perdomo, Sandra, additional, McCullough, Marjorie L., additional, Freedman, Neal D., additional, Patel, Alpa V., additional, Peters, Ulrike, additional, Riboli, Elio, additional, Sund, Malin, additional, Tjønneland, Anne, additional, Zhong, Jun, additional, Van Den Eeden, Stephen K., additional, Kraft, Peter, additional, Risch, Harvey A., additional, Amundadottir, Laufey T., additional, Klein, Alison P., additional, Stolzenberg-Solomon, Rachael Z., additional, and Antwi, Samuel O., additional
Published: 2023
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193. Genetically adjusted PSA levels for prostate cancer screening

Author: Kachuri, Linda, primary, Hoffmann, Thomas J., additional, Jiang, Yu, additional, Berndt, Sonja I., additional, Shelley, John P., additional, Schaffer, Kerry R., additional, Machiela, Mitchell J., additional, Freedman, Neal D., additional, Huang, Wen-Yi, additional, Li, Shengchao A., additional, Easterlin, Ryder, additional, Goodman, Phyllis J., additional, Till, Cathee, additional, Thompson, Ian, additional, Lilja, Hans, additional, Van Den Eeden, Stephen K., additional, Chanock, Stephen J., additional, Haiman, Christopher A., additional, Conti, David V., additional, Klein, Robert J., additional, Mosley, Jonathan D., additional, Graff, Rebecca E., additional, and Witte, John S., additional
Published: 2023
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194. Widespread Purifying Selection at Polymorphic Sites in Human Protein-Coding Loci

Author: Hughes, Austin L., Packer, Bernice, Welch, Robert, Bergen, Andrew W., Chanock, Stephen J., and Yeager, Meredith
Published: 2003

195. Geographic variation of mutagenic exposures in kidney cancer genomes

Author: Senkin, Sergey, Moody, Sarah, Díaz-Gay, Marcos, Abedi-Ardekani, Behnoush, Cattiaux, Thomas, Ferreiro-Iglesias, Aida, Wang, Jingwei, Fitzgerald, Stephen, Kazachkova, Mariya, Vangara, Raviteja, Le, Anh Phuong, Bergstrom, Erik N., Khandekar, Azhar, Otlu, Burçak, Cheema, Saamin, Latimer, Calli, Thomas, Emily, Atkins, Joshua Ronald, Smith-Byrne, Karl, Cortez Cardoso Penha, Ricardo, Carreira, Christine, Chopard, Priscilia, Gaborieau, Valérie, Keski-Rahkonen, Pekka, Jones, David, Teague, Jon W., Ferlicot, Sophie, Asgari, Mojgan, Sangkhathat, Surasak, Attawettayanon, Worapat, Świątkowska, Beata, Jarmalaite, Sonata, Sabaliauskaite, Rasa, Shibata, Tatsuhiro, Fukagawa, Akihiko, Mates, Dana, Jinga, Viorel, Rascu, Stefan, Mijuskovic, Mirjana, Savic, Slavisa, Milosavljevic, Sasa, Bartlett, John M. S., Albert, Monique, Phouthavongsy, Larry, Ashton-Prolla, Patricia, Botton, Mariana R., Silva Neto, Brasil, Bezerra, Stephania Martins, Curado, Maria Paula, Zequi, Stênio de Cássio, Reis, Rui Manuel, Faria, Eliney Ferreira, de Menezes, Nei Soares, Ferrari, Renata Spagnoli, Banks, Rosamonde E., Vasudev, Naveen S., Zaridze, David, Mukeriya, Anush, Shangina, Oxana, Matveev, Vsevolod, Foretova, Lenka, Navratilova, Marie, Holcatova, Ivana, Hornakova, Anna, Janout, Vladimir, Purdue, Mark P., Rothman, Nathaniel, Chanock, Stephen J., Ueland, Per Magne, Johansson, Mattias, McKay, James, Scelo, Ghislaine, Chanudet, Estelle, Humphreys, Laura, de Carvalho, Ana Carolina, Perdomo, Sandra, Alexandrov, Ludmil B., Stratton, Michael R., and Brennan, Paul
Abstract: International differences in the incidence of many cancer types indicate the existence of carcinogen exposures that have not yet been identified by conventional epidemiology make a substantial contribution to cancer burden1. In clear cell renal cell carcinoma, obesity, hypertension and tobacco smoking are risk factors, but they do not explain the geographical variation in its incidence2. Underlying causes can be inferred by sequencing the genomes of cancers from populations with different incidence rates and detecting differences in patterns of somatic mutations. Here we sequenced 962 clear cell renal cell carcinomas from 11 countries with varying incidence. The somatic mutation profiles differed between countries. In Romania, Serbia and Thailand, mutational signatures characteristic of aristolochic acid compounds were present in most cases, but these were rare elsewhere. In Japan, a mutational signature of unknown cause was found in more than 70% of cases but in less than 2% elsewhere. A further mutational signature of unknown cause was ubiquitous but exhibited higher mutation loads in countries with higher incidence rates of kidney cancer. Known signatures of tobacco smoking correlated with tobacco consumption, but no signature was associated with obesity or hypertension, suggesting that non-mutagenic mechanisms of action underlie these risk factors. The results of this study indicate the existence of multiple, geographically variable, mutagenic exposures that potentially affect tens of millions of people and illustrate the opportunities for new insights into cancer causation through large-scale global cancer genomics.
Published: 2024
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196. Polygenic risk score for the prediction of breast cancer is related to lesser terminal duct lobular unit involution of the breast

Author: Bodelon, Clara, Oh, Hannah, Derkach, Andriy, Sampson, Joshua N., Sprague, Brian L., Vacek, Pamela, Weaver, Donald L., Fan, Shaoqi, Palakal, Maya, Papathomas, Daphne, Xiang, Jackie, Patel, Deesha A., Linville, Laura, Clare, Susan E., Visscher, Daniel W., Mies, Carolyn, Hewitt, Stephen M., Brinton, Louise A., Storniolo, Anna Maria V., He, Chunyan, Chanock, Stephen J., Garcia-Closas, Montserrat, Gierach, Gretchen L., and Figueroa, Jonine D.
Published: 2020
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197. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author: Seyed Khoei, Nazlisadat, Jenab, Mazda, Murphy, Neil, Banbury, Barbara L., Carreras-Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno-de-Mesquita, Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet, Catalina, Rodríguez-Barranco, Miguel, Gil, Leire, Chirlaque, Maria-Dolores, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Perez-Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Le Marchand, Loic, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Martín, Vicente, Moreno, Victor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D. P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., van Duijnhoven, Franzel J. B., Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zhang, Xuehong, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Wagner, Karl-Heinz, and Freisling, Heinz
Published: 2020
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198. Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma

Author: Choi, Jiyeon, Zhang, Tongwu, Vu, Andrew, Ablain, Julien, Makowski, Matthew M., Colli, Leandro M., Xu, Mai, Hennessey, Rebecca C., Yin, Jinhu, Rothschild, Harriet, Gräwe, Cathrin, Kovacs, Michael A., Funderburk, Karen M., Brossard, Myriam, Taylor, John, Pasaniuc, Bogdan, Chari, Raj, Chanock, Stephen J., Hoggart, Clive J., Demenais, Florence, Barrett, Jennifer H., Law, Matthew H., Iles, Mark M., Yu, Kai, Vermeulen, Michiel, Zon, Leonard I., and Brown, Kevin M.
Published: 2020
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199. Mosaic chromosome Y loss is associated with alterations in blood cell counts in UK Biobank men

Author: Lin, Shu-Hong, Loftfield, Erikka, Sampson, Josh N., Zhou, Weiyin, Yeager, Meredith, Freedman, Neal D., Chanock, Stephen J., and Machiela, Mitchell J.
Published: 2020
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200. Fusariosis Associated with Pathogenic Fusarium Species Colonization of a Hospital Water System: A New Paradigm for the Epidemiology of Opportunistic Mold Infections

Author: Summerbell, Richard C., Chanock, Stephen J., and Walsh, Thomas J.
Published: 2001

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