Abstract
The relationship between obesity and colorectal polyps remains inconclusive. This study aimed to examine whether body mass index (BMI) is causally associated with colon polyps. A two-sample Mendelian randomization (MR) analysis using the inverse variance weighted, weighted median and MR-Egger regression methods was performed. We used the publicly available summary statistics data sets of genome-wide association studies (GWAS) meta-analyses for BMI in individuals of European descent (n = 322,154; GIANT consortium) as the exposure and a GWAS for colon polyps included in the UK Biobank (total n = 463,010; case = 4779, control = 458,231) as the outcome. We selected 76 single nucleotide polymorphisms at genome-wide significance from GWASs on BMI as the instrumental variables. The inverse variance weighted method showed evidence to support a causal association between BMI and colon polyps (beta = 0.002, SE = 0.001, P = .012). MR-Egger regression revealed that directional pleiotropy was unlikely to be biasing the result (intercept = -9.3e-06;P = .889), but it showed no causal association between BMI and colon polyps (beta = 0.002, SE = 0.002, P = .09). However, the weighted median approach yielded evidence of a causal association between BMI and colon polyps (beta = 0.001, SE = 0.001, P = .01). Cochran Q test and the funnel plot indicated no evidence of heterogeneity and asymmetry, indicating no directional pleiotropy. The results of MR analysis support that BMI may be causally associated with an increased risk of colon polyps.