Identifying causal genes in alopecia areata using integrative analysis of differential expression and Mendelian randomization
Huixia Zhao,
Xiaoyuan He,
Yuting Zhang
et al.
Abstract:Background
Compared with sporadic patients with Alopecia areata (AA), the familial cases have a poorer prognosis. At present, the genetic basis of AA still needs further study to improve treatment and prognosis. The aim of this study is to identify the causal genes related to AA.
Methods
We first used bioinformatics analysis to screen the differentially expressed genes (DEGs) related to AA, and then analyzed large-scale eQTL data and AA GWAS summary data using Mendelian randomization (MR). The enrichment ana… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.