Evidence map›Paper›PMID 33330876›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Integrative analyses identify susceptibility genes underlying COVID-19 hospitalization.

Gita A Pathak, Kritika Singh, Tyne W Miller-Fleming, Frank R Wendt, Nava Ehsan, Kangcheng Hou, Ruth Johnson, Zeyun Lu, Shyamalika Gopalan, Loic Yengo and 5 more

Open access · greenAbstract readPreprint
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, 12 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 2 countries.

Gita A PathakYale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT USA.
Kritika SinghDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Tyne W Miller-FlemingDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Frank R WendtYale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT USA.
Nava EhsanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
Kangcheng HouBioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA USA.
Ruth JohnsonDepartment of Computer Science, University of California Los Angeles, Los Angeles, CA USA.
Zeyun LuDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA USA.
Shyamalika GopalanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA USA.
Loic YengoInstitute for Molecular Bioscience, The University of Queensland.
Pejman MohammadiDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
Bogdan PasaniucDepartments of Computational Medicine, Human Genetics, Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA.
Renato PolimantiYale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT USA.
Lea K DavisDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Nicholas MancusoDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA USA.
University of California, Los Angeles · USUniversity of Southern California · USVanderbilt University Medical Center · USYale University · USScripps Research Institute · USThe University of Queensland · AU

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PHILLIPS, ELIZABETH, RODEN, DAN M · 2015 to 2019
$13.0M
Training and Mentoring CoreU54MD010722 · NIMHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRIFFITH, DEREK M · 2016 to 2020
$11.9M
The Genetic Epemiology of Multiple SclerosisR01NS032830 · NINDS · VANDERBILT UNIVERSITY · PI HAINES, JONATHAN L · 1995 to 2010
$8.9M
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
VESPA: Vanderbilt Electronic Systems for Pharmacogenomic AssessmentRC2GM092618 · NIGMS · VANDERBILT UNIVERSITY · PI DENNY, JOSHUA C., RODEN, DAN M · 2009 to 2010
$6.4M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
Discovering Biology for Neuropsychiatric Diseases Through Omics Studies on ComorbiditiesR01MH113362 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COX, NANCY J, KNAPIK, ELA W · 2017 to 2021
$3.9M
PsycheMERGE: Leveraging electronic health records and genomics for mental health researchR01MH118233 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DAVIS, LEA K, SMOLLER, JORDAN W · 2019 to 2022
$3.1M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR025141NCRR NIH HHS UL1 RR024975NHGRI NIH HHS R01 HG009120NHGRI NIH HHS T32 HG008341NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG006378NHLBI NIH HHS U19 HL065962NICHD NIH HHS R01 HD074711NIDA NIH HHS R21 DA047527NIDCD NIH HHS R21 DC018098NIGMS NIH HHS P50 GM115305NIGMS NIH HHS RC2 GM092618NIH HHS S10 OD017985NIMHD NIH HHS U54 MD010722NIMH NIH HHS F32 MH122058NIMH NIH HHS R01 MH113362NIMH NIH HHS R01 MH118233NIMH NIH HHS R56 MH120736NINDS NIH HHS R01 NS032830
6 · The paper itself

Abstract

Despite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of genes and pathways that contribute to COVID-19. Here, we integrated a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19 Host Genetics Initiative) with mRNA expression, splicing, and protein levels (n=18,502). We identified 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterized the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (BioVU; n=85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicated these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in BioVU, pan-UK Biobank, and Biobank Japan. Our study highlights putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response.

Identifiers

PMID33330876
PMCPMC7743085
OpenAlexW3111396628

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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.