Genome-wide association analyses of common infections in a large practice-based biobank

基于大型实践生物样本库的常见感染的全基因组关联分析

阅读:2

Abstract

INTRODUCTION: Infectious diseases are common causes of morbidity and mortality worldwide. Susceptibility to infection is highly heritable; however, little has been done to identify the genetic determinants underlying common infectious diseases. One GWAS was performed using 23andMe information about self-reported infections; we set out to confirm previous loci and identify new ones using medically diagnosed infections. METHODS: We used the electronic health record (EHR)-based biobank at Vanderbilt and diagnosis codes to identify cases of 12 infectious diseases in white patients: urinary tract infection, pneumonia, chronic sinus infections, otitis media, candidiasis, streptococcal pharyngitis, herpes zoster, herpes labialis, hepatitis B, infectious mononucleosis, tuberculosis (TB) or a positive TB test, and hepatitis C. We selected controls from patients with no diagnosis code for the candidate disease and matched by year of birth, sex, and calendar year at first and last EHR visits. We conducted GWAS using SAIGE and transcriptome-wide analysis (TWAS) using S-PrediXcan. We also conducted phenome-wide association study to understand associations between identified genetic variants and clinical phenotypes. RESULTS: We replicated three 23andMe loci (p ≤ 0.05): herpes zoster and rs7047299-A (p = 2.6 × 10(-3)) and rs2808290-C (p = 9.6 × 10(-3);); otitis media and rs114947103-C (p = 0.04). We also identified 2 novel regions (p ≤ 5 × 10(-8)): rs113235453-G for otitis media (p = 3.04 × 10(-8)), and rs10422015-T for candidiasis (p = 3.11 × 10(-8)). In TWAS, four gene-disease associations were significant: SLC30A9 for otitis media (p = 8.06 × 10(-7)); LRP3 and WDR88 for candidiasis (p = 3.91 × 10(-7) and p = 1.95 × 10(-6)); and AAMDC for hepatitis B (p = 1.51 × 10(-6)). CONCLUSION: We conducted GWAS and TWAS for 12 infectious diseases and identified novel genetic contributors to the susceptibility of infectious diseases.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。