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Genome-wide association analyses of common infections in a large practice-based biobank
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512962/ https://www.ncbi.nlm.nih.gov/pubmed/36167494 http://dx.doi.org/10.1186/s12864-022-08888-9 |
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author | Jiang, Lan Kerchberger, V. Eric Shaffer, Christian Dickson, Alyson L. Ormseth, Michelle J. Daniel, Laura L. Leon, Barbara G. Carranza Cox, Nancy J. Chung, Cecilia P. Wei, Wei-Qi Stein, C. Michael Feng, QiPing |
author_facet | Jiang, Lan Kerchberger, V. Eric Shaffer, Christian Dickson, Alyson L. Ormseth, Michelle J. Daniel, Laura L. Leon, Barbara G. Carranza Cox, Nancy J. Chung, Cecilia P. Wei, Wei-Qi Stein, C. Michael Feng, QiPing |
author_sort | Jiang, Lan |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08888-9. |
format | Online Article Text |
id | pubmed-9512962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95129622022-09-27 Genome-wide association analyses of common infections in a large practice-based biobank Jiang, Lan Kerchberger, V. Eric Shaffer, Christian Dickson, Alyson L. Ormseth, Michelle J. Daniel, Laura L. Leon, Barbara G. Carranza Cox, Nancy J. Chung, Cecilia P. Wei, Wei-Qi Stein, C. Michael Feng, QiPing BMC Genomics Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08888-9. BioMed Central 2022-09-27 /pmc/articles/PMC9512962/ /pubmed/36167494 http://dx.doi.org/10.1186/s12864-022-08888-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jiang, Lan Kerchberger, V. Eric Shaffer, Christian Dickson, Alyson L. Ormseth, Michelle J. Daniel, Laura L. Leon, Barbara G. Carranza Cox, Nancy J. Chung, Cecilia P. Wei, Wei-Qi Stein, C. Michael Feng, QiPing Genome-wide association analyses of common infections in a large practice-based biobank |
title | Genome-wide association analyses of common infections in a large practice-based biobank |
title_full | Genome-wide association analyses of common infections in a large practice-based biobank |
title_fullStr | Genome-wide association analyses of common infections in a large practice-based biobank |
title_full_unstemmed | Genome-wide association analyses of common infections in a large practice-based biobank |
title_short | Genome-wide association analyses of common infections in a large practice-based biobank |
title_sort | genome-wide association analyses of common infections in a large practice-based biobank |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512962/ https://www.ncbi.nlm.nih.gov/pubmed/36167494 http://dx.doi.org/10.1186/s12864-022-08888-9 |
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