Suppr超能文献

一项使用多民族基因分型阵列的结核病性别分层全基因组关联研究。

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

作者信息

Schurz Haiko, Kinnear Craig J, Gignoux Chris, Wojcik Genevieve, van Helden Paul D, Tromp Gerard, Henn Brenna, Hoal Eileen G, Möller Marlo

机构信息

DST-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

South African Tuberculosis Bioinformatics Initiative, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

出版信息

Front Genet. 2019 Jan 18;9:678. doi: 10.3389/fgene.2018.00678. eCollection 2018.

Abstract

Tuberculosis (TB), caused by , 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.

摘要

由[未提及具体病因]引起的结核病(TB)是一种具有已知人类遗传成分的复杂疾病。男性似乎比女性受影响更大,在大多数国家,结核病报告率男性是女性的两倍。虽然社会经济地位、行为和性激素会影响这种男性偏向,但并不能完全解释这一现象。男性只有一条X染色体拷贝,而二倍体女性会经历X染色体失活。此外,X染色体编码许多与免疫相关的基因,支持了X连锁基因可能以性别偏向的方式导致结核病易感性的假说。我们报告了第一项结核病易感性全基因组关联研究(GWAS),特别关注性别分层的常染色体分析和X染色体。使用Illumina多民族基因分型阵列对来自南非混合人群的总共810名个体(410例病例和405例对照)进行基因分型,该阵列专门设计为适用于多样化和混合人群的平台。以性别分层和合并的方式对常染色体(827386个变异)和X染色体(20939个变异)进行关联测试。使用严格的显著性截止值进行SNP关联测试在统计学上不显著,但揭示了可能值得进一步研究的候选基因。全基因组相互作用分析检测到16个显著的相互作用。最后,结果强调了性别分层分析的重要性,因为在常染色体和X染色体上都发现了强烈的性别特异性效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3953/6346682/6e04743008dd/fgene-09-00678-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验