Causal effects of genetically determined metabolites on androgenetic alopecia: A two-sample Mendelian randomization analysis.

ABSTRACT:

Background

Androgenic alopecia (AGA) is the most common non-scarring alopecia disorder. Given its increasing incidence and onset during adolescence, AGA significantly impacts both the physical and psychological well-being of affected individuals. Emerging evidence suggests a pivotal role of metabolites in AGA. This study aims to elucidate the causal relationship between metabolites and AGA using Mendelian randomization (MR) analysis.

Methods

We conducted a two-sample Mendelian randomization (TSMR) analysis based on a genome-wide association study (GWAS) to assess the causality of 452 metabolites on AGA. The main approach employed for inferring causal effects was inverse variance weighted (IVW), which was complemented by MR-Egger regression, weighted median, as well as MR ple

SUBMITTER: Du Y 

PROVIDER: S-EPMC11095465 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature