Using gene-environment interactions to explore pathways for colorectal cancer risk

E Bouras; R Yu; AE Kim; G Markozannes; N Murphy; D Albanes; LN Anderson; EL Barry; SI Berndt; DT Bishop; H Brenner; A Burnett-Hartman; PT Campbell; R Carreras-Torres; AT Chan; I Cheng; MA Devall; V Diez-Obrero; N Dimou; DA Drew; SB Gruber; A Gsur; M Hoffmeister; L Hsu; JR Huyghe; E Kawaguchi; TO Keku; A Kundaje; S Küry; L Le Marchand; JP Lewinger; L Li; BM Lynch; V Moreno; JL Morrison; CC Newton; M Obón-Santacana; JR Palmer; N Papadimitriou; AJ Pellatt; AR Peoples; PDP Pharoah; EA Platz; C Qu; E Ruiz-Narvaez; JS Mendez; RE Schoen; MC Stern; CE Thomas; Y Tian; CY Um; K Visvanathan; P Vodicka; V Vymetalkova; E White; A Wolk; MO Woods; AH Wu; MJ Gunter; WJ Gauderman; U Peters; M Evangelou; KK Tsilidis

Journal article

Using gene-environment interactions to explore pathways for colorectal cancer risk

E Bouras, R Yu, AE Kim, G Markozannes, N Murphy, D Albanes, LN Anderson, EL Barry, SI Berndt, DT Bishop, H Brenner, A Burnett-Hartman, PT Campbell, R Carreras-Torres, AT Chan, I Cheng, MA Devall, V Diez-Obrero, N Dimou, DA Drew Show all

Ebiomedicine | Published : 2025

DOI: 10.1016/j.ebiom.2025.105964

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Abstract

Background: Colorectal cancer (CRC) is a significant public health concern, highlighting the critical need for identifying novel intervention targets for its prevention. Methods: We conducted genome-wide interaction analyses for 15 exposures with established or putative CRC risk [body mass index (BMI), height, physical activity, smoking, type 2 diabetes, use of menopausal hormone therapy, non-steroidal anti-inflammatory drugs, and intake of alcohol, calcium, fibre, folate, fruits, processed meat, red meat, and vegetables], and used interaction estimates to explore pathways and genes underlying CRC risk. The adaptive combination of Bayes Factors (ADABF), and over-representation analysis (ORA)..

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