%0 Journal Article
%A Xia, Zhiyu
%A Su, Yu-Ru
%A Petersen, Paneen
%A Qi, Lihong
%A Kim, Andre E
%A }, , USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
%A Figueiredo, Jane C
%A }, , USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. | Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
%A Lin, Yi
%A Nan, Hongmei
%A Sakoda, Lori C
%A Albanes, Demetrius
%A Berndt, Sonja I
%A Bézieau, Stéphane
%A Bien, Stephanie
%A Buchanan, Daniel D
%A Casey, Graham
%A Chan, Andrew T
%A Conti, David V
%A }, , USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
%A Drew, David A
%A Gallinger, Steven J
%A Gauderman, W James
%A }, , USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
%A Giles, Graham G
%A Gruber, Stephen B
%A }, , USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
%A Gunter, Marc J
%A Hoffmeister, Michael
%A Jenkins, Mark A
%A Joshi, Amit D
%A Le Marchand, Loic
%A Lewinger, Juan P
%A }, , USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
%A Li, Li
%A Lindor, Noralane M
%A Moreno, Victor
%A Murphy, Neil
%A Nassir, Rami
%A Newcomb, Polly A
%A Ogino, Shuji
%A Rennert, Gad
%A Song, Mingyang
%A Wang, Xiaoliang
%A Wolk, Alicja
%A Woods, Michael O
%A Brenner, Hermann
%A White, Emily
%A Slattery, Martha L
%A Giovannucci, Edward L
%A Chang-Claude, Jenny
%A Pharoah, Paul D P
%A Hsu, Li
%A Campbell, Peter T
%A Peters, Ulrike
%T Functional informed genome-wide interaction analysis of body mass index, diabetes and colorectal cancer risk.
%J Cancer medicine
%V 9
%N 10
%@ 2045-7634
%C Hoboken, NJ
%I Wiley
%M DKFZ-2020-00649
%P 3563-3573
%D 2020
%Z 2020 May;9(10):3563-3573
%X Body mass index (BMI) and diabetes are established risk factors for colorectal cancer (CRC), likely through perturbations in metabolic traits (e.g. insulin resistance and glucose homeostasis). Identification of interactions between variation in genes and these metabolic risk factors may identify novel biologic insights into CRC etiology.To improve statistical power and interpretation for gene-environment interaction (G × E) testing, we tested genetic variants that regulate expression of a gene together for interaction with BMI (kg/m2 ) and diabetes on CRC risk among 26 017 cases and 20 692 controls. Each variant was weighted based on PrediXcan analysis of gene expression data from colon tissue generated in the Genotype-Tissue Expression Project for all genes with heritability ≥1
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:32207560
%R 10.1002/cam4.2971
%U https://inrepo02.dkfz.de/record/154193