Evidence map›Paper›PMID 34155559›Full record

ArticleHuman genetics2021

Association of CXCR6 with COVID-19 severity: delineating the host genetic factors in transcriptomic regulation.

Yulin Dai, Junke Wang, Hyun-Hwan Jeong, Wenhao Chen, Peilin Jia, Zhongming Zhao

Open access · bronzeAbstract read
In one paragraph

Article in Human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
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  4. GRPa-PRS: A risk stratification method to identify genetically-regulated pathways in polygenic diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Article
  6. Article
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  8. rs71327024 Associated with COVID-19 Hospitalization ReducesInternational journal of molecular sciences · 2023
    Article
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  10. Review
  11. Article
  12. Article
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  14. Review
  15. Persistent CD8Frontiers in immunology · 2023
    Observational
  16. Genetic Associations with Coronavirus Susceptibility and Disease Severity.Advances in experimental medicine and biology · 2023
    Review
  17. Review
  18. Review
  19. The human genetic epidemiology of COVID-19.Nature reviews. Genetics · 2022
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Yulin Dai *Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX, 77030, USA.
Junke Wang *MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, 77030, USA.
Hyun-Hwan JeongCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX, 77030, USA.
Wenhao ChenImmunobiology and Transplant Science Center, Department of Surgery, Houston Methodist Research Institute and Institute for Academic Medicine, Houston Methodist Hospital, Houston, TX, 77030, USA.
Peilin JiaCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX, 77030, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX, 77030, USA. Zhongming.Zhao@uth.tmc.edu.ORCID http://orcid.org/0000-0002-3477-0914
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USHouston Methodist · US

Funding

Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Deep learning for decoding genetic regulation and cellular maps in craniofacial developmentR01DE030122 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI, ZHAO, ZHONGMING · 2021 to 2023
$1.7M
Cancer Prevention and Research Institute of Texas RP180734NIDCR NIH HHS R01 DE030122NLM NIH HHS R01 LM012806U.S. National Library of Medicine R01LM012806
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) is an infectious disease that mainly affects the host respiratory system with ~ 80% asymptomatic or mild cases and ~ 5% severe cases. Recent genome-wide association studies (GWAS) have identified several genetic loci associated with the severe COVID-19 symptoms. Delineating the genetic variants and genes is important for better understanding its biological mechanisms. We implemented integrative approaches, including transcriptome-wide association studies (TWAS), colocalization analysis, and functional element prediction analysis, to interpret the genetic risks using two independent GWAS datasets in lung and immune cells. To understand the context-specific molecular alteration, we further performed deep learning-based single-cell transcriptomic analyses on a bronchoalveolar lavage fluid (BALF) dataset from moderate and severe COVID-19 patients. We discovered and replicated the genetically regulated expression of CXCR6 and CCR9 genes. These two genes have a protective effect on lung, and a risk effect on whole blood, respectively. The colocalization analysis of GWAS and cis-expression quantitative trait loci highlighted the regulatory effect on CXCR6 expression in lung and immune cells. In the lung-resident memory CD8

Indexed as

COVID-19Receptors, CXCR6CD8-Positive T-LymphocytesFemaleGenome-Wide Association StudyHumansImmunologic MemoryLungMaleQuantitative Trait LociReceptors, CCRRisk FactorsSARS-CoV-2Severity of Illness IndexTranscriptomeCC chemokine receptor 9CXCR6 protein, humanReceptors, CCRReceptors, CXCR6

Identifiers

PMID34155559
PMCPMC8216591
OpenAlexW3176127947

What OpenQuestion holds

Textmetadata
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.