1. Characterization of Additive Gene-environment Interactions For Colorectal Cancer Risk.
- Author
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Thomas CE, Lin Y, Kim M, Kawaguchi ES, Qu C, Um CY, Lynch BM, Van Guelpen B, Tsilidis K, Carreras-Torres R, van Duijnhoven FJB, Sakoda LC, Campbell PT, Tian Y, Chang-Claude J, Bézieau S, Budiarto A, Palmer JR, Newcomb PA, Casey G, Le Marchandz L, Giannakis M, Li CI, Gsur A, Newton C, Obón-Santacana M, Moreno V, Vodicka P, Brenner H, Hoffmeister M, Pellatt AJ, Schoen RE, Dimou N, Murphy N, Gunter MJ, Castellví-Bel S, Figueiredo JC, Chan AT, Song M, Li L, Bishop DT, Gruber SB, Baurley JW, Bien SA, Conti DV, Huyghe JR, Kundaje A, Su YR, Wang J, Keku TO, Woods MO, Berndt SI, Chanock SJ, Tangen CM, Wolk A, Burnett-Hartman A, Wu AH, White E, Devall MA, Díez-Obrero V, Drew DA, Giovannucci E, Hidaka A, Kim AE, Lewinger JP, Morrison J, Ose J, Papadimitriou N, Pardamean B, Peoples AR, Ruiz-Narvaez EA, Shcherbina A, Stern MC, Chen X, Thomas DC, Platz EA, Gauderman WJ, Peters U, and Hsu L
- Subjects
- Humans, Male, Female, Case-Control Studies, Middle Aged, Aged, Risk Factors, Logistic Models, Alcohol Drinking, Smoking adverse effects, Body Mass Index, Polymorphism, Single Nucleotide, Diet, Adult, Colorectal Neoplasms genetics, Colorectal Neoplasms epidemiology, Gene-Environment Interaction, Genetic Predisposition to Disease
- Abstract
Background: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure., Methods: Using resources from CRC consortia, including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score, including 141 variants associated with CRC risk., Results: There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking (RERI = 0.24, 95% confidence interval [CI] = 0.13, 0.36), ever smoking (0.11 [0.05, 0.16]), high body mass index (female 0.09 [0.05, 0.13], male 0.10 [0.05, 0.14]), or high red meat intake (highest versus lowest quartile 0.18 [0.09, 0.27]) was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/nonsteroidal anti-inflammatory drugs use (-0.16 [-0.20, -0.11]) or higher intake of fruit, fiber, or calcium (highest quartile versus lowest quartile -0.12 [-0.18, -0.050]; -0.16 [-0.23, -0.09]; -0.11 [-0.18, -0.05], respectively) than those with average genetic susceptibility., Conclusions: Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention., Competing Interests: S.G.: Brogent International LLC, co-founder, not related to submitted work. J.B.: co-founder and employee of BioRealm LLC. BioRealm LLC offers data analysis services, unrelated to this study. M.G.: Research funding from Servier and Janssen, unrelated to this study. Other authors report no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
- Published
- 2025
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