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GWAS Study

A Sex-Stratified Genome-Wide Association Study of Tuberculosis Using a Multi-Ethnic Genotyping Array.

Schurz H, Kinnear CJ, Gignoux C et al.

30713548 PubMed ID
GWAS Study Type
815 Participants
63 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SH
Schurz H
KC
Kinnear CJ
GC
Gignoux C
WG
Wojcik G
VH
van Helden PD
TG
Tromp G
HB
Henn B
HE
Hoal EG
MM
Möller M
Chapter II

Abstract

Summary of the research findings

Tuberculosis (TB), caused by Mycobacterium tuberculosis, is a complex disease with a known human genetic component. Males seem to be more affected than females and in most countries the TB notification rate is twice as high in males than in females. While socio-economic status, behavior and sex hormones influence the male bias they do not fully account for it. Males have only one copy of the X chromosome, while diploid females are subject to X chromosome inactivation. In addition, the X chromosome codes for many immune-related genes, supporting the hypothesis that X-linked genes could contribute to TB susceptibility in a sex-biased manner. We report the first TB susceptibility genome-wide association study (GWAS) with a specific focus on sex-stratified autosomal analysis and the X chromosome. A total of 810 individuals (410 cases and 405 controls) from an admixed South African population were genotyped using the Illumina Multi Ethnic Genotyping Array, specifically designed as a suitable platform for diverse and admixed populations. Association testing was done on the autosome (8,27,386 variants) and X chromosome (20,939 variants) in a sex stratified and combined manner. SNP association testing was not statistically significant using a stringent cut-off for significance but revealed likely candidate genes that warrant further investigation. A genome wide interaction analysis detected 16 significant interactions. Finally, the results highlight the importance of sex-stratified analysis as strong sex-specific effects were identified on both the autosome and X chromosome.

242 South African admixed female cases, 168 South African admixed male cases, 223 South African admixed female controls, 182 South African admixed male controls

Chapter III

Study Statistics

Key metrics and study information

815
Total Participants
GWAS
Study Type
No
Replicated
Other admixed ancestry
Ancestry
South Africa
Recruitment Country
Chapter IV

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