Detecting causal relationship between metabolic traits and osteoporosis using multivariable Mendelian randomization.

ABSTRACT: By adopting the extension approaches of Mendelian randomization, we successfully detected and prioritized the potential causal risk factors for BMD traits, which might provide us novel insights for treatment and intervention into bone-related complex traits and diseases.

Introduction

Osteoporosis (OP) is a common metabolic skeletal disease characterized by reduced bone mineral density (BMD). The identified SNPs for BMD can only explain approximately 10% of the variability, and very few causal factors have been identified so far.

Methods

The Mendelian randomization (MR) approach enables us to assess the potential causal effect of a risk factor on the outcome by using genetic IVs. By using extension methods of MR-multivariable MR (mvMR) and MR based on Bayesian model averaging

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC7987914 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature