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Dataset Information

Investigating the causal relationships between excess adiposity and cardiometabolic health in men and women.


ABSTRACT:

Aims/hypothesis

Excess adiposity is differentially associated with increased risk of cardiometabolic disease in men and women, according to observational studies. Causal inference studies largely assume a linear relationship between BMI and cardiometabolic outcomes, which may not be the case. In this study, we investigated the shapes of the causal relationships between BMI and cardiometabolic diseases and risk factors. We further investigated sex differences within the causal framework.

Methods

To assess causal relationships between BMI and the outcomes, we used two-stage least-squares Mendelian randomisation (MR), with a polygenic risk score for BMI as the instrumental variable. To elucidate the shapes of the causal relationships, we used a non-linear MR fractional polynomi

SUBMITTER: Mutie PM 

PROVIDER: S-EPMC9807546 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature