Menu
Currency
GWAS Study

Genome-wide meta-analysis identifies 11 susceptibility variants of vitiligo in the Chinese Han population.

Wang D, Chen W, Wang Y et al.

38286188 PubMed ID
GWAS Study Type
13327 Participants
143 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

WD
Wang D
CW
Chen W
WY
Wang Y
YJ
Yu J
BY
Bai Y
LS
Luo S
SC
Song C
WM
Wang M
YY
Yu Y
LZ
Li Z
HY
Han Y
ZQ
Zhen Q
SL
Sun L
Chapter II

Abstract

Summary of the research findings

Vitiligo is an autoimmune disease involving loss of melanocytes. Although several genetic studies have confirmed that genetic factors play an important role, its pathogenesis remains incompletely characterized. In this study, a genome-wide meta-analysis was conducted to search for more susceptibility variants of vitiligo. Tang et al performed a GWAS for cohort I (1117 vitiligo cases and 1701 healthy controls) previously, and we conducted a GWAS for cohort II (3323 vitiligo cases and 7186 healthy controls) in this study, with the results subjected to a genome-wide meta-analysis and linkage disequilibrium analysis. We identify, to our knowledge, 11 previously unreported susceptibility variants, of which 6 variants are located in the intronic regions, and the remaining 5 variants are located within intergenic regions between genes. In addition, the results of polygenic risk score show that the best evaluated effect for target data is among significant SNVs of the base data. The susceptibility genes of vitiligo are mainly enriched in the immune-related functions and pathways. The susceptibility variants expand the role of genetic factors associated with vitiligo. The bioinformatics analysis for risk genes provides further insight into the pathogenesis of vitiligo.

4,440 Han Chinese ancestry cases, 8,887 Han Chinese ancestry controls

Chapter III

Study Statistics

Key metrics and study information

13327
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.