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A genome-wide association study in a large community-based cohort identifies multiple loci associated with susceptibility to bacterial and viral infections
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Infection medicine.
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.ORCID iD: 0000-0001-5894-0351
Stanford Univ, Dept Med, Div Cardiovasc Med, Sch Med, Stanford, CA 94305 USA.;Stanford Univ, Stanford Cardiovasc Inst, Stanford, CA 94305 USA.;Stanford Univ, Stanford Diabet Res Ctr, Stanford, CA 94305 USA..
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Stanford Univ, Dept Med, Div Cardiovasc Med, Sch Med, Stanford, CA 94305 USA.;Stanford Univ, Stanford Cardiovasc Inst, Stanford, CA 94305 USA.;Stanford Univ, Stanford Diabet Res Ctr, Stanford, CA 94305 USA..ORCID iD: 0000-0003-2256-6972
2022 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 12, article id 2582Article in journal (Refereed) Published
Abstract [en]

There is limited data on host-specific genetic determinants of susceptibility to bacterial and viral infections. Genome-wide association studies using large population cohorts can be a first step towards identifying patients prone to infectious diseases and targets for new therapies. Genetic variants associated with clinically relevant entities of bacterial and viral infections (e.g., abdominal infections, respiratory infections, and sepsis) in 337,484 participants of the UK Biobank cohort were explored by genome-wide association analyses. Cases (n = 81,179) were identified based on ICD-10 diagnosis codes of hospital inpatient and death registries. Functional annotation was performed using gene expression (eQTL) data. Fifty-seven unique genome-wide significant loci were found, many of which are novel in the context of infectious diseases. Some of the detected genetic variants were previously reported associated with infectious, inflammatory, autoimmune, and malignant diseases or key components of the immune system (e.g., white blood cells, cytokines). Fine mapping of the HLA region revealed significant associations with HLA-DQA1, HLA-DRB1, and HLA-DRB4 locus alleles. PPP1R14A showed strong colocalization with abdominal infections and gene expression in sigmoid and transverse colon, suggesting causality. Shared significant loci across infections and non-infectious phenotypes in the UK Biobank cohort were found, suggesting associations for example between SNPs identified for abdominal infections and CRP, rheumatoid arthritis, and diabetes mellitus. We report multiple loci associated with bacterial and viral infections. A better understanding of the genetic determinants of bacterial and viral infections can be useful to identify patients at risk and in the development of new drugs.

Place, publisher, year, edition, pages
Springer Nature Springer Nature, 2022. Vol. 12, article id 2582
National Category
Infectious Medicine
Identifiers
URN: urn:nbn:se:uu:diva-470538DOI: 10.1038/s41598-022-05838-zISI: 000757107700002PubMedID: 35173190OAI: oai:DiVA.org:uu-470538DiVA, id: diva2:1648035
Funder
Swedish Research Council, 2019-05911Swedish Research Council, 2020-02320Knut and Alice Wallenberg Foundation, 2013.0126Available from: 2022-03-29 Created: 2022-03-29 Last updated: 2024-01-15Bibliographically approved

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Tängdén, ThomasGustafsson, StefanIngelsson, Erik

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