Association of Body Mass Index With Colorectal Cancer Risk by Genome-Wide Variants

Peter T Campbell; Yi Lin; Stephanie A Bien; Jane C Figueiredo; Tabitha A Harrison; Mark A Guinter; Sonja Berndt; Hermann Brenner; Andrew T Chan; Jenny Chang-Claude; Steven J Gallinger; Susan M Gapstur; Graham G Giles; Edward Giovannucci; Stephen B Gruber; Marc Gunter; Michael Hoffmeister; Eric J Jacobs; Mark A Jenkins; Loic Le Marchand; Li Li; John R McLaughlin; Neil Murphy; Roger L Milne; Polly A Newcomb; Christina Newton; Shuji Ogino; John D Potter; Gad Rennert; Hedy S Rennert; Jennifer Robinson; Lori C Sakoda; Martha L Slattery; Yiqing Song; Emily White; Michael O Woods; Graham Casey; Li Hsu; Ulrike Peters

Journal article

Association of Body Mass Index With Colorectal Cancer Risk by Genome-Wide Variants

Peter T Campbell, Yi Lin, Stephanie A Bien, Jane C Figueiredo, Tabitha A Harrison, Mark A Guinter, Sonja Berndt, Hermann Brenner, Andrew T Chan, Jenny Chang-Claude, Steven J Gallinger, Susan M Gapstur, Graham G Giles, Edward Giovannucci, Stephen B Gruber, Marc Gunter, Michael Hoffmeister, Eric J Jacobs, Mark A Jenkins, Loic Le Marchand Show all

Journal of the National Cancer Institute | OXFORD UNIV PRESS INC | Published : 2021

DOI: 10.1093/jnci/djaa058

Abstract

BACKGROUND: Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk. METHODS: We tested multiplicative statistical interactions between BMI (per 5 kg/m2) and approximately 2.7 million single nucleotide polymorphisms with colorectal cancer risk among 14 059 colorectal cancer case (53.2% women) and 14 416 control (53.8% women) participants. All analyses were stratified by sex a priori. Statistical methods included 2-step (ie, Cocktail method) and single-step (ie, case-control logistic regression and a joint 2-degree of freedom test) procedures. All statistical tests were two-sided. RESULTS: Each 5 kg/m2 increase in BMI was associ..

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