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The landscape of host genetic factors involved in immune response to common viral infections.
Kachuri, Linda; Francis, Stephen S; Morrison, Maike L; Wendt, George A; Bossé, Yohan; Cavazos, Taylor B; Rashkin, Sara R; Ziv, Elad; Witte, John S.
  • Kachuri L; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Francis SS; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. stephen.francis@ucsf.edu.
  • Morrison ML; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA. stephen.francis@ucsf.edu.
  • Wendt GA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA. stephen.francis@ucsf.edu.
  • Bossé Y; Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA. stephen.francis@ucsf.edu.
  • Cavazos TB; Department of Biology, Stanford University, Stanford, CA, USA.
  • Rashkin SR; Summer Research Training Program, Graduate Division, University of California San Francisco, San Francisco, CA, USA.
  • Ziv E; Department of Mathematics, The University of Texas, Austin, TX, USA.
  • Witte JS; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Genome Med ; 12(1): 93, 2020 10 27.
Article in English | MEDLINE | ID: covidwho-897564
ABSTRACT

BACKGROUND:

Humans and viruses have co-evolved for millennia resulting in a complex host genetic architecture. Understanding the genetic mechanisms of immune response to viral infection provides insight into disease etiology and therapeutic opportunities.

METHODS:

We conducted a comprehensive study including genome-wide and transcriptome-wide association analyses to identify genetic loci associated with immunoglobulin G antibody response to 28 antigens for 16 viruses using serological data from 7924 European ancestry participants in the UK Biobank cohort.

RESULTS:

Signals in human leukocyte antigen (HLA) class II region dominated the landscape of viral antibody response, with 40 independent loci and 14 independent classical alleles, 7 of which exhibited pleiotropic effects across viral families. We identified specific amino acid (AA) residues that are associated with seroreactivity, the strongest associations presented in a range of AA positions within DRß1 at positions 11, 13, 71, and 74 for Epstein-Barr virus (EBV), Varicella zoster virus (VZV), human herpesvirus 7, (HHV7), and Merkel cell polyomavirus (MCV). Genome-wide association analyses discovered 7 novel genetic loci outside the HLA associated with viral antibody response (P < 5.0 × 10-8), including FUT2 (19q13.33) for human polyomavirus BK (BKV), STING1 (5q31.2) for MCV, and CXCR5 (11q23.3) and TBKBP1 (17q21.32) for HHV7. Transcriptome-wide association analyses identified 114 genes associated with response to viral infection, 12 outside of the HLA region, including ECSCR P = 5.0 × 10-15 (MCV), NTN5 P = 1.1 × 10-9 (BKV), and P2RY13 P = 1.1 × 10-8 EBV nuclear antigen. We also demonstrated pleiotropy between viral response genes and complex diseases, from autoimmune disorders to cancer to neurodegenerative and psychiatric conditions.

CONCLUSIONS:

Our study confirms the importance of the HLA region in host response to viral infection and elucidates novel genetic determinants beyond the HLA that contribute to host-virus interaction.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Diseases / Genetic Predisposition to Disease / Disease Susceptibility / Host-Pathogen Interactions Type of study: Cohort study / Etiology study / Observational study / Prognostic study Limits: Humans Language: English Journal: Genome Med Year: 2020 Document Type: Article Affiliation country: S13073-020-00790-x

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Diseases / Genetic Predisposition to Disease / Disease Susceptibility / Host-Pathogen Interactions Type of study: Cohort study / Etiology study / Observational study / Prognostic study Limits: Humans Language: English Journal: Genome Med Year: 2020 Document Type: Article Affiliation country: S13073-020-00790-x