TY - JOUR
T1 - Using gene-environment interactions to explore pathways for colorectal cancer risk
AU - Bouras, Emmanouil
AU - Yu, Ren
AU - Kim, Andre E.
AU - Markozannes, Georgios
AU - Murphy, Neil
AU - Albanes, Demetrius
AU - Anderson, Laura N.
AU - Barry, Elizabeth L.
AU - Berndt, Sonja I.
AU - Bishop, D. Timothy
AU - Brenner, Hermann
AU - Burnett-Hartman, Andrea
AU - Campbell, Peter T.
AU - Carreras-Torres, Robert
AU - Chan, Andrew T.
AU - Cheng, Iona
AU - Devall, Matthew A.
AU - Diez-Obrero, Virginia
AU - Dimou, Niki
AU - Drew, David A.
AU - Gruber, Stephen B.
AU - Gsur, Andrea
AU - Hoffmeister, Michael
AU - Hsu, Li
AU - Huyghe, Jeroen R.
AU - Kawaguchi, Eric
AU - Keku, Temitope O.
AU - Kundaje, Anshul
AU - Küry, Sébastien
AU - Le Marchand, Loïc
AU - Lewinger, Juan Pablo
AU - Li, Li
AU - Lynch, Brigid M.
AU - Moreno, Victor
AU - Morrison, John L.
AU - Newton, Christina C.
AU - Obón-Santacana, Mireia
AU - Palmer, Julie R.
AU - Papadimitriou, Nikos
AU - Pellatt, Andrew J.
AU - Peoples, Anita R.
AU - Pharoah, Paul D.P.
AU - Platz, Elizabeth A.
AU - Qu, Conghui
AU - Ruiz-Narvaez, Edward
AU - Mendez, Joel Sanchez
AU - Schoen, Robert E.
AU - Stern, Mariana C.
AU - Thomas, Claire E.
AU - Tian, Yu
AU - Um, Caroline Y.
AU - Visvanathan, Kala
AU - Vodicka, Pavel
AU - Vymetalkova, Veronika
AU - White, Emily
AU - Wolk, Alicja
AU - Woods, Michael O.
AU - Wu, Anna H.
AU - Gunter, Marc J.
AU - Gauderman, W. James
AU - Peters, Ulrike
AU - Evangelou, Marina
AU - Tsilidis, Konstantinos K.
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/11
Y1 - 2025/11
N2 - 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) were used for pathway analyses, and findings were further investigated using publicly available resources [hallmarks of cancer, Open Targets Platform (OTP)]. Findings: A total of 1973 pathways using ADABF, and 840 pathways using ORA, out of the 2950 analysed, were enriched (P < 0.05) for at least one exposure, as well as 1227 genes within the enriched pathways. Data were available for 811/1227 coding genes in the OTP, 241 of which were supported by strong relative abundance of prior evidence (overall OTP score > 0.05). Fifty percent of the genes (617/1227) mapped to at least one hallmark of cancer, most of which (388/617) pertained to the Sustaining Proliferative Signalling hallmark. Our findings reflect previously established pathways for CRC risk and highlight the emerging importance of several less studied genes. Common pathways were found for several combinations of exposures, potentially suggesting common underlying mechanisms. Interpretation: The results of the present analysis provide a basis for further functional research. If confirmed, they may help elucidate the etiological associations between risk factors and CRC risk and ultimately inform personalized prevention strategies. Funding: This study was funded by Cancer Research UK (CRUK; grant number: PPRCPJT∖100005) and World Cancer Research Fund International (WCRF; IIG_FULL_2020_022). Funding for grant IIG_FULL_2020_022 was obtained froma Wereld Kanker Onderzoek Fondsy (WKOF) as part of the World Cancer Research Fund International grant programme. Full funding details for the individual consortia are provided in the acknowledgements.
AB - 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) were used for pathway analyses, and findings were further investigated using publicly available resources [hallmarks of cancer, Open Targets Platform (OTP)]. Findings: A total of 1973 pathways using ADABF, and 840 pathways using ORA, out of the 2950 analysed, were enriched (P < 0.05) for at least one exposure, as well as 1227 genes within the enriched pathways. Data were available for 811/1227 coding genes in the OTP, 241 of which were supported by strong relative abundance of prior evidence (overall OTP score > 0.05). Fifty percent of the genes (617/1227) mapped to at least one hallmark of cancer, most of which (388/617) pertained to the Sustaining Proliferative Signalling hallmark. Our findings reflect previously established pathways for CRC risk and highlight the emerging importance of several less studied genes. Common pathways were found for several combinations of exposures, potentially suggesting common underlying mechanisms. Interpretation: The results of the present analysis provide a basis for further functional research. If confirmed, they may help elucidate the etiological associations between risk factors and CRC risk and ultimately inform personalized prevention strategies. Funding: This study was funded by Cancer Research UK (CRUK; grant number: PPRCPJT∖100005) and World Cancer Research Fund International (WCRF; IIG_FULL_2020_022). Funding for grant IIG_FULL_2020_022 was obtained froma Wereld Kanker Onderzoek Fondsy (WKOF) as part of the World Cancer Research Fund International grant programme. Full funding details for the individual consortia are provided in the acknowledgements.
KW - Colorectal cancer
KW - Gene-environment interactions
KW - Mechanisms
KW - Molecular pathways
KW - Pathway analysis
UR - https://www.scopus.com/pages/publications/105018372786
UR - https://www.scopus.com/pages/publications/105018372786#tab=citedBy
U2 - 10.1016/j.ebiom.2025.105964
DO - 10.1016/j.ebiom.2025.105964
M3 - Article
C2 - 41076992
AN - SCOPUS:105018372786
SN - 2352-3964
VL - 121
JO - EBioMedicine
JF - EBioMedicine
M1 - 105964
ER -