Genome-Wide Diet-Gene Interaction Analyses for Risk of Colorectal Cancer

作者: Jane C Figueiredo , Li Hsu , Carolyn M Hutter , Yi Lin , Peter T Campbell

DOI: 10.1371/JOURNAL.PGEN.1004228

关键词: BiologyGene interactionCase-control studyLogistic regressionGenome-wide association studyGenotypeGeneticsRed meatOncologyInternal medicineColorectal cancerMeta-analysisGenetics(clinical)Cancer researchEcology, Evolution, Behavior and SystematicsMolecular biology

摘要: Dietary factors, including meat, fruits, vegetables and fiber, are associated with colorectal cancer; however, there is limited information as to whether these dietary factors interact genetic variants modify risk of cancer. We tested interactions between approximately 2.7 million for cancer among 9,287 cases 9,117 controls from ten studies. used logistic regression investigate multiplicative gene-diet interactions, well our recently developed Cocktail method that involves a screening step based on marginal associations correlations testing while correcting multiple using weighted hypothesis testing. Per quartile increment in the intake red processed meat were statistically significant increased risks vegetable, fruit fiber lower risks. From case-control analysis, we detected interaction rs4143094 (10p14/near GATA3) consumption (OR = 1.17; p 8.7E-09), which was consistently observed across studies (p heterogeneity 0.78). The individuals rs4143094-TG -TT genotypes 1.20 OR 1.39, respectively) null those GG genotype 1.03). Our results identify novel cancer, highlighting diet may effect disease risk, have important implications prevention.

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