Evidence map›Paper›PMID 32511533›Full record

ArticlemedRxiv : the preprint server for health sciences2020

The landscape of host genetic factors involved in immune response to common viral infections.

Linda Kachuri, Stephen S Francis, Maike Morrison, George A Wendt, Yohan Bossé, Taylor B Cavazos, Sara R Rashkin, Elad Ziv, John S Witte

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 43 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Linda KachuriDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Stephen S FrancisDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Maike MorrisonSummer Research Training Program, Graduate Division, University of California San Francisco, San Francisco, USA.
George A WendtDepartment of Neurological Surgery, University of California San Francisco, San Francisco, USA.
Yohan BosséInstitut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Université Laval, Quebec City, Canada.
Taylor B CavazosProgram in Biological and Medical Informatics, University of California San Francisco, San Francisco, USA.
Sara R RashkinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Elad ZivHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, USA.
John S WitteDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
University of California, San Francisco · USInstitut universitaire de cardiologie et de pneumologie de Québec · CASt. Jude Children's Research Hospital · US

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
Genome-wide Pleiotropy Scan across Multiple CancersR01CA201358 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAFF, REBECCA ELIZABETH, SAKODA, LORI · 2016 to 2019
$2.5M
Genetics of mammographic density and breast cancer risk in LatinasK24CA169004 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZIV, ELAD · 2012 to 2021
$1.8M
NCI NIH HHS K24 CA169004NCI NIH HHS R01 CA201358NCI NIH HHS R25 CA112355NIGMS NIH HHS T32 GM067547
6 · The paper itself

Abstract

introductionHumans 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.

methodsWe 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.

resultsSignals 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 DRβ1 at positions 11, 13, 71, and 74 for Epstein-Barr Virus (EBV), Varicella Zoster Virus (VZV), Human Herpes virus 7, (HHV7) and Merkel cell polyomavirus (MCV). Genome-wide association analyses discovered 7 novel genetic loci outside the HLA associated with viral antibody response (

conclusionsOur 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.

Indexed as

antibodyantigengenome-wide association study (GWAS)human leukocyte antigen (HLA)immune responseimmunoglobulin GInfectionpolyomavirusserologytranscriptome-wide association study (TWAS)virus

Identifiers

PMID32511533
PMCPMC7273301
OpenAlexW3023147200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.