%0 Journal Article
%A Kapoor, Pooja Middha
%A Lindström, Sara
%A Behrens, Sabine
%A Wang, Xiaoliang
%A Michailidou, Kyriaki
%A Bolla, Manjeet K
%A Wang, Qin
%A Dennis, Joe
%A Dunning, Alison M
%A Pharoah, Paul D P
%A Schmidt, Marjanka K
%A Kraft, Peter
%A García-Closas, Montserrat
%A Easton, Douglas F
%A Milne, Roger L
%A Chang-Claude, Jenny
%A Ahearn, Thomas
%A Andrulis, Irene L
%A Anton-Culver, Hoda
%A Arndt, Volker
%A Aronson, Kristan J
%A Auer, Paul L
%A Augustinsson, Annelie
%A Freeman, Laura E Beane
%A Beckmann, Matthias W
%A Benitez, Javier
%A Bernstein, Leslie
%A Berrandou, Takiy
%A Bojesen, Stig E
%A Brauch, Hiltrud
%A Brenner, Hermann
%A Brock, Ian W
%A Broeks, Annegien
%A Brooks-Wilson, Angela
%A Butterbach, Katja
%A Cai, Qiuyin
%A Campa, Daniele
%A Canzian, Federico
%A Carter, Brian D
%A Castelao, Jose E
%A Chanock, Stephen J
%A Chenevix-Trench, Georgia
%A Cheng, Ting-Yuan David
%A Clarke, Christine L
%A Cordina-Duverger, Emilie
%A Couch, Fergus J
%A Cox, Angela
%A Cross, Simon S
%A Czene, Kamila
%A Dai, James Y
%A Dite, Gillian S
%A Earp, H Shelton
%A Eliassen, A Heather
%A Eriksson, Mikael
%A Evans, D Gareth
%A Fasching, Peter A
%A Figueroa, Jonine
%A Flyger, Henrik
%A Fritschi, Lin
%A Gabrielson, Marike
%A Gago-Dominguez, Manuela
%A Gapstur, Susan M
%A Gaudet, Mia M
%A Giles, Graham G
%A González-Neira, Anna
%A Grundy, Anne
%A Guénel, Pascal
%A Haeberle, Lothar
%A Haiman, Christopher A
%A Håkansson, Niclas
%A Hall, Per
%A Hamann, Ute
%A Hankinson, Susan E
%A Harkness, Elaine F
%A Harstad, Tricia
%A He, Wei
%A Heyworth, Jane
%A Hoover, Robert N
%A Hopper, John L
%A Humphreys, Keith
%A Hunter, David J
%A Marrón, Pablo Isidro
%A John, Esther M
%A Jones, Michael E
%A Jung, Audrey
%A Kaaks, Rudolf
%A Keeman, Renske
%A Kitahara, Cari M
%A Ko, Yon-Dschun
%A Koutros, Stella
%A Krüger, Ute
%A Lambrechts, Diether
%A Marchand, Loic Le
%A Lee, Eunjung
%A Lejbkowicz, Flavio
%A Linet, Martha
%A Lissowska, Jolanta
%A Llaneza, Ana
%A Lo, Wing-Yee
%A Makalic, Enes
%A Martinez, Maria Elena
%A Maurer, Tabea
%A Muñoz-Garzon, Victor M
%A Neuhausen, Susan L
%A Neven, Patrick
%A Newman, William G
%A Nielsen, Sune F
%A Nordestgaard, Børge G
%A Norman, Aaron
%A O'Brien, Katie M
%A Olshan, Andrew F
%A Olson, Janet E
%A Olsson, Håkan
%A Orr, Nick
%A Perou, Charles M
%A Pinchev, Mila
%A Prentice, Ross
%A Rennert, Gad
%A Rennert, Hedy S
%A Ruddy, Kathryn J
%A Sandler, Dale P
%A Schneider, Michael O
%A Schoemaker, Minouk J
%A Schöttker, Ben
%A Scott, Rodney J
%A Scott, Christopher
%A Sherman, Mark E
%A Shrubsole, Martha J
%A Shu, Xiao-Ou
%A Southey, Melissa C
%A Spinelli, John J
%A Stone, Jennifer
%A Swerdlow, Anthony J
%A Tamimi, Rulla M
%A Taylor, Jack A
%A Thöne, Kathrin
%A Troester, Melissa A
%A Truong, Thérèse
%A Vachon, Celine M
%A van Ongeval, Chantal
%A van Veen, Elke M
%A Wagner, Philippe
%A Weinberg, Clarice R
%A Wildiers, Hans
%A Willett, Walter
%A Winham, Stacey J
%A Wolk, Alicja
%A Yang, Xiaohong R
%A Zheng, Wei
%A Ziogas, Argyrios
%T Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium.
%J International journal of epidemiology
%V 49
%N 1
%@ 1464-3685
%C Oxford
%I Oxford Univ. Press
%M DKFZ-2019-02322
%P 216-232
%D 2020
%Z 2020 Feb 1;49(1):216-232#EA:C020#
%X Previous gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions.Analyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions.Noteworthy evidence of interaction at ≤1
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:31605532
%R 10.1093/ije/dyz193
%U https://inrepo02.dkfz.de/record/147186