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cc by-nc (c) Dimou, Niki et al, 2023
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/201706

Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses

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BackgroundDiabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis.MethodsWe used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test).ResultsBased on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA: 1.62, 95% CI: 1.34-1.96; ORAG: 1.41, 95% CI: 1.30-1.54; ORGG: 1.22, 95% CI: 1.13-1.31; p-value(3-d.f.): 5.46 x 10(-11)) and 13q14.13 (rs9526201, LRCH1 - ORGG: 2.11, 95% CI: 1.56-2.83; ORGA: 1.52, 95% CI: 1.38-1.68; ORAA: 1.13, 95% CI: 1.06-1.21; p-value(2-d.f.): 7.84 x 10(-09)).DiscussionThese results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.

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DIMOU, Niki, KIM, Andre e., FLANAGAN, Orlagh, MURPHY, Neil, DÍEZ OBRERO, Virginia, CARRERAS TORRES, Robert, MORENO AGUADO, Víctor, OBÓN SANTACANA, Mireia, KUNDAJE, Anshul, HSU, Li, GAUDERMAN, W. james, GUNTER, Marc j., PETERS, Ulrike. Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses. _British Journal of Cancer_. 2023. Vol. 129, núm. 3, pàgs. 511-520. [consulta: 14 de gener de 2026]. ISSN: 1532-1827. [Disponible a: https://hdl.handle.net/2445/201706]

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