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Meta-Analysis
. 2016 Jul 12;115(2):266-72.
doi: 10.1038/bjc.2016.188. Epub 2016 Jun 23.

Mendelian randomisation analysis strongly implicates adiposity with risk of developing colorectal cancer

Affiliations
Meta-Analysis

Mendelian randomisation analysis strongly implicates adiposity with risk of developing colorectal cancer

David Jarvis et al. Br J Cancer. .

Abstract

Background: Observational studies have associated adiposity with an increased risk of colorectal cancer (CRC). However, such studies do not establish a causal relationship. To minimise bias from confounding we performed a Mendelian randomisation (MR) analysis to examine the relationship between adiposity and CRC.

Methods: We used SNPs associated with adult body mass index (BMI), waist-hip ratio (WHR), childhood obesity and birth weight as instrumental variables in a MR analysis of 9254 CRC cases and 18 386 controls.

Results: In the MR analysis, the odds ratios (ORs) of CRC risk per unit increase in BMI, WHR and childhood obesity were 1.23 (95% CI: 1.02-1.49, P=0.033), 1.59 (95% CI: 1.08-2.34, P=0.019) and 1.07 (95% CI: 1.03-1.13, P=0.018), respectively. There was no evidence for association between birth weight and CRC (OR=1.22, 95% CI: 0.89-1.67, P=0.22). Combining these data with a concurrent MR-based analysis for BMI and WHR with CRC risk (totalling to 18 190 cases, 27 617 controls) provided increased support, ORs for BMI and WHR were 1.26 (95% CI: 1.10-1.44, P=7.7 × 10(-4)) and 1.40 (95% CI: 1.14-1.72, P=1.2 × 10(-3)), respectively.

Conclusions: These data provide further evidence for a strong causal relationship between adiposity and the risk of developing CRC highlighting the urgent need for prevention and treatment of adiposity.

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Figures

Figure 1
Figure 1
MR results of adiposity traits on CRC risk from seven GWAS studies and the meta-analysis. (A) Adult BMI; (B) adult WHR; (C) childhood obesity (CO); and (D) birth weight (BW). Boxes denote OR point estimates, with their areas proportional to the inverse variance weight of the estimate. Horizontal lines represent 95% CIs. The diamond represents the summary Ors, computed under a fixed-effects model, with 95% CI given by the width of the diamond. The unbroken vertical line is at the null value (OR=1.0).

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