학술논문
A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
Document Type
article
Author
Middha, Pooja; Wang, Xiaoliang; Behrens, Sabine; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Michailidou, Kyriaki; Ahearn, Thomas U; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Aronson, Kristan J; Auer, Paul L; Augustinsson, Annelie; Baert, Thaïs; Freeman, Laura E Beane; Becher, Heiko; Beckmann, Matthias W; Benitez, Javier; Bojesen, Stig E; Brauch, Hiltrud; Brenner, Hermann; Brooks-Wilson, Angela; Campa, Daniele; Canzian, Federico; Carracedo, Angel; Castelao, Jose E; Chanock, Stephen J; Chenevix-Trench, Georgia; Cordina-Duverger, Emilie; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Dossus, Laure; Dugué, Pierre-Antoine; Eliassen, A Heather; Eriksson, Mikael; Evans, D Gareth; Fasching, Peter A; Figueroa, Jonine D; Fletcher, Olivia; Flyger, Henrik; Gabrielson, Marike; Gago-Dominguez, Manuela; Giles, Graham G; González-Neira, Anna; Grassmann, Felix; Grundy, Anne; Guénel, Pascal; Haiman, Christopher A; Håkansson, Niclas; Hall, Per; Hamann, Ute; Hankinson, Susan E; Harkness, Elaine F; Holleczek, Bernd; Hoppe, Reiner; Hopper, John L; Houlston, Richard S; Howell, Anthony; Hunter, David J; Ingvar, Christian; Isaksson, Karolin; Jernström, Helena; John, Esther M; Jones, Michael E; Kaaks, Rudolf; Keeman, Renske; Kitahara, Cari M; Ko, Yon-Dschun; Koutros, Stella; Kurian, Allison W; Lacey, James V; Lambrechts, Diether; Larson, Nicole L; Larsson, Susanna; Le Marchand, Loic; Lejbkowicz, Flavio; Li, Shuai; Linet, Martha; Lissowska, Jolanta; Martinez, Maria Elena; Maurer, Tabea; Mulligan, Anna Marie; Mulot, Claire; Murphy, Rachel A; Newman, William G; Nielsen, Sune F; Nordestgaard, Børge G; Norman, Aaron; O’Brien, Katie M; Olson, Janet E; Patel, Alpa V; Prentice, Ross; Rees-Punia, Erika; Rennert, Gad; Rhenius, Valerie; Ruddy, Kathryn J; Sandler, Dale P
Source
Breast Cancer Research. 25(1)
Subject
Language
Abstract
BackgroundGenome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.MethodsAnalyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.ResultsAssuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability