Evidence map›Paper›PMID 34799557›Full record

ArticleNature communications2021

COVID-19 genetic risk variants are associated with expression of multiple genes in diverse immune cell types.

Benjamin J Schmiedel, Job Rocha, Cristian Gonzalez-Colin, Sourya Bhattacharyya, Ariel Madrigal, Christian H Ottensmeier, Ferhat Ay, Vivek Chandra, Pandurangan Vijayanand

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  20. Genetic signatures ofFrontiers in immunology · 2024
    Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 3 countries.

Benjamin J Schmiedel *La Jolla Institute for Immunology, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-9103-9378
Job Rocha *La Jolla Institute for Immunology, La Jolla, CA, USA.
Cristian Gonzalez-Colin *La Jolla Institute for Immunology, La Jolla, CA, USA.
Sourya Bhattacharyya *La Jolla Institute for Immunology, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-5767-8168
Ariel MadrigalLa Jolla Institute for Immunology, La Jolla, CA, USA.
Christian H OttensmeierLa Jolla Institute for Immunology, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-3619-1657
Ferhat AyLa Jolla Institute for Immunology, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-0708-6914
Vivek ChandraLa Jolla Institute for Immunology, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-4047-015X
Pandurangan VijayanandLa Jolla Institute for Immunology, La Jolla, CA, USA. vijay@lji.org.ORCID http://orcid.org/0000-0001-7067-9723
La Jolla Institute for Immunology · US

Funding

Research Resources: Epigenomic and Transcriptomic Profiles of Human Immune CellsR24AI108564 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI MITCHELL KRONENBERG, Bjoern Peters · 2014 to 2026
$12.1M
Studying the function of human genetic variation in the light of 3D genome organizationR35GM128938 · NIGMS · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Ferhat Ay · 2018 to 2026
$4.6M
NovaSeq5000 High Throughput SequencerS10OD025052 · OD · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI SEUMOIS, GREGORY · 2018 to 2018
$832k
Illumina HiSeq 2500 Sequencing SystemS10OD016262 · OD · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI RAO, ANJANA · 2013 to 2013
$600k
FACSAria II Cell SorterS10RR027366 · NCRR · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI CROFT, MICHAEL · 2011 to 2011
$514k
NCRR NIH HHS S10 RR027366NIAID NIH HHS R24 AI108564NIGMS NIH HHS R35 GM128938NIH HHS S10 OD016262NIH HHS S10 OD025052
6 · The paper itself

Abstract

Common genetic polymorphisms associated with COVID-19 illness can be utilized for discovering molecular pathways and cell types driving disease pathogenesis. Given the importance of immune cells in the pathogenesis of COVID-19 illness, here we assessed the effects of COVID-19-risk variants on gene expression in a wide range of immune cell types. Transcriptome-wide association study and colocalization analysis revealed putative causal genes and the specific immune cell types where gene expression is most influenced by COVID-19-risk variants. Notable examples include OAS1 in non-classical monocytes, DTX1 in B cells, IL10RB in NK cells, CXCR6 in follicular helper T cells, CCR9 in regulatory T cells and ARL17A in T

Indexed as

COVID-19Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansReceptors, CCRRisk FactorsT-Lymphocytes, Helper-InducerCC chemokine receptor 9Receptors, CCR

Identifiers

PMID34799557
PMCPMC8604964
OpenAlexW3214300165

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.