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Dataset Information

Explore the genetic exposure to alopecia areata.


ABSTRACT:

Background

Alopecia areata is an autoimmune hair loss disorder with an incompletely understood etiology. Although trace elements, serum metabolites, and inflammatory factors are implicated in the disease, the potential causal relationships between these factors and alopecia areata require further investigation.

Methods

This study employed Mendelian randomization (MR), utilizing data from genome-wide association studies, to explore the causal relationships between 15 trace elements, 1400 serum metabolites, and 91 inflammatory factors and alopecia areata. The analysis was conducted using the inverse variance weighted (IVW) method complemented by various sensitivity analyses, including Cochran's Q test, MR-Egger regression intercept test, MR-PRESSO global test, and leave-one-ou

SUBMITTER: Peng S 

PROVIDER: S-EPMC11291861 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature