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Dataset Information

A Mendelian randomization analysis of inflammatory skin disease risk due to mineral deficiencies.


ABSTRACT:

Background

Mineral deficiencies, such as iron (Fe), zinc (Zn), and selenium (Se), play crucial roles in inflammation and immune responses and are linked to chronic inflammatory skin diseases. This study used genome-wide association study (GWAS) data and Mendelian randomization (MR) to investigate the genetic causality among serum levels of five minerals (Fe, Cu, Zn, Se, Ca), three iron metabolism indicators (TSAT, TIBC, ferritin), and three chronic inflammatory skin diseases [psoriasis (PS), atopic dermatitis (AD), acne vulgaris (AV)].

Methods

Two-sample MR analyses using the "TwoSample MR" package in R were conducted with aggregate outcome data from the FinnGen database. The inverse-variance-weighted (IVW) method was applied to assess causal relationships between mineral le

SUBMITTER: Wu R 

PROVIDER: S-EPMC11513277 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature