Statistical analysis
colorectal, colorectal polyp, adenoma, adenomatous, serrated hyperplastic) polyp number, diabetes
COLORECTAL POLYP, INTERACTIONS, ADENOMA, REGRESSION, DIABETES
Linkage disequilibrium between SNPs in individual genes was analyzed using the LDmatrix tool (NIH) to derive Only seAFOod trial participants, for whom there were trial colonoscopy outcome data, were included in this SNP analysis. Baseline characteristics [age, sex, body mass index (BMI), diabetes, tobacco smoking status, alcohol intake] of the seAFOod trial participants included in the SNP analysis were analyzed using the Interactions of SNP genotypes with trial interventions were analyzed “at the margins” (i.e. active aspirin vs. placebo aspirin, and active EPA vs. placebo EPA, regardless of the other intervention in the 2×2 factorial trial), consistent with the primary seAFOod trial analysis (that assumed no treatment interaction; refs. We analyzed total colorectal (combined adenomatous and serrated hyperplastic) polyp number per participant (previously termed adenoma per participant in the original seAFOod trial analysis; refs. All SNPs were then used to stratify a negative binomial regression model of colorectal polyp number (justified by a positive skewed distribution of individual colorectal polyp number values in the seAFOod trial; ref. Each analysis was repeated using a Poisson regression model, with the same adjustments, to mirror the seAFOod trial analysis (Statistical significance was specified as All statistical analyses were conducted using Stata version 17.0.