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A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population
Infections and mental disorders are two of the major global disease burdens. While correlations between mental disorders and infections have been reported, the possible genetic links between them have not been assessed in large-scale studies. Moreover, the genetic basis of susceptibility to infectio...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848113/ https://www.ncbi.nlm.nih.gov/pubmed/31712607 http://dx.doi.org/10.1038/s41398-019-0622-3 |
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author | Nudel, Ron Wang, Yunpeng Appadurai, Vivek Schork, Andrew J. Buil, Alfonso Agerbo, Esben Bybjerg-Grauholm, Jonas Børglum, Anders D. Daly, Mark J. Mors, Ole Hougaard, David M. Mortensen, Preben B. Werge, Thomas Nordentoft, Merete Thompson, Wesley K. Benros, Michael E. |
author_facet | Nudel, Ron Wang, Yunpeng Appadurai, Vivek Schork, Andrew J. Buil, Alfonso Agerbo, Esben Bybjerg-Grauholm, Jonas Børglum, Anders D. Daly, Mark J. Mors, Ole Hougaard, David M. Mortensen, Preben B. Werge, Thomas Nordentoft, Merete Thompson, Wesley K. Benros, Michael E. |
author_sort | Nudel, Ron |
collection | PubMed |
description | Infections and mental disorders are two of the major global disease burdens. While correlations between mental disorders and infections have been reported, the possible genetic links between them have not been assessed in large-scale studies. Moreover, the genetic basis of susceptibility to infection is largely unknown, as large-scale genome-wide association studies of susceptibility to infection have been lacking. We utilized a large Danish population-based sample (N = 65,534) linked to nationwide population-based registers to investigate the genetic architecture of susceptibility to infection (heritability estimation, polygenic risk analysis, and a genome-wide association study (GWAS)) and examined its association with mental disorders (comorbidity analysis and genetic correlation). We found strong links between having at least one psychiatric diagnosis and the occurrence of infection (P = 2.16 × 10(−208), OR = 1.72). The SNP heritability of susceptibility to infection ranged from ~2 to ~7% in samples of differing psychiatric diagnosis statuses (suggesting the environment as a major contributor to susceptibility), and polygenic risk scores moderately but significantly explained infection status in an independent sample. We observed a genetic correlation of 0.496 (P = 2.17 × 10(−17)) between a diagnosis of infection and a psychiatric diagnosis. While our GWAS did not identify genome-wide significant associations, we found 90 suggestive (P ≤ 10(−5)) associations for susceptibility to infection. Our findings suggest a genetic component in susceptibility to infection and indicate that the occurrence of infections in individuals with mental illness may be in part genetically driven. |
format | Online Article Text |
id | pubmed-6848113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68481132019-11-14 A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population Nudel, Ron Wang, Yunpeng Appadurai, Vivek Schork, Andrew J. Buil, Alfonso Agerbo, Esben Bybjerg-Grauholm, Jonas Børglum, Anders D. Daly, Mark J. Mors, Ole Hougaard, David M. Mortensen, Preben B. Werge, Thomas Nordentoft, Merete Thompson, Wesley K. Benros, Michael E. Transl Psychiatry Article Infections and mental disorders are two of the major global disease burdens. While correlations between mental disorders and infections have been reported, the possible genetic links between them have not been assessed in large-scale studies. Moreover, the genetic basis of susceptibility to infection is largely unknown, as large-scale genome-wide association studies of susceptibility to infection have been lacking. We utilized a large Danish population-based sample (N = 65,534) linked to nationwide population-based registers to investigate the genetic architecture of susceptibility to infection (heritability estimation, polygenic risk analysis, and a genome-wide association study (GWAS)) and examined its association with mental disorders (comorbidity analysis and genetic correlation). We found strong links between having at least one psychiatric diagnosis and the occurrence of infection (P = 2.16 × 10(−208), OR = 1.72). The SNP heritability of susceptibility to infection ranged from ~2 to ~7% in samples of differing psychiatric diagnosis statuses (suggesting the environment as a major contributor to susceptibility), and polygenic risk scores moderately but significantly explained infection status in an independent sample. We observed a genetic correlation of 0.496 (P = 2.17 × 10(−17)) between a diagnosis of infection and a psychiatric diagnosis. While our GWAS did not identify genome-wide significant associations, we found 90 suggestive (P ≤ 10(−5)) associations for susceptibility to infection. Our findings suggest a genetic component in susceptibility to infection and indicate that the occurrence of infections in individuals with mental illness may be in part genetically driven. Nature Publishing Group UK 2019-11-11 /pmc/articles/PMC6848113/ /pubmed/31712607 http://dx.doi.org/10.1038/s41398-019-0622-3 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nudel, Ron Wang, Yunpeng Appadurai, Vivek Schork, Andrew J. Buil, Alfonso Agerbo, Esben Bybjerg-Grauholm, Jonas Børglum, Anders D. Daly, Mark J. Mors, Ole Hougaard, David M. Mortensen, Preben B. Werge, Thomas Nordentoft, Merete Thompson, Wesley K. Benros, Michael E. A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population |
title | A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population |
title_full | A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population |
title_fullStr | A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population |
title_full_unstemmed | A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population |
title_short | A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population |
title_sort | large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the danish population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848113/ https://www.ncbi.nlm.nih.gov/pubmed/31712607 http://dx.doi.org/10.1038/s41398-019-0622-3 |
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