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ABSTRACT: Introduction
Given that the proteome is a major source of therapeutic targets, we conducted a proteome-wide Mendelian randomization (MR) combined with transcriptome sequencing analysis to identify candidate protein markers and therapeutic targets for vitiligo.Methods
Based on protein quantitative trait loci (pQTLs) and genetic associations with vitiligo obtained from the European Bioinformatics Institute (EBI) database (60 vitiligo cases and 402,672 controls), and the UK Biobank (95 vitiligo cases and 337,064 controls), bidirectional MR and colocalization analyses identified genetically predicted levels of nine proteins collectively linked to vitiligo risk. Based on the RNA-seq data and single-cell RNA-seq data of vitiligo, bioinformatics analysis and model prediction of ge
SUBMITTER: Yan C
PROVIDER: S-EPMC12256375 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature