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 PMID:33619490  

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
bioRxiv : the preprint server for biology | 2021

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.

Pubmed ID: 33619490

Research resources used in this publication

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Associated grants

  • Agency: NLM NIH HHS, United States
    Id: R01 LM012806

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This is a list of tools and resources that we have found mentioned in this publication.


Bioconductor (tool)

RRID:SCR_006442

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

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RSAT peak-motifs (tool)

RRID:SCR_010886

Software tool that predicts motifs in full-size peak sets. It performs all steps from motif discovery to visualization of the predicted sites in genome browsers.

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CIS-BP (tool)

RRID:SCR_017236

Software tool as catalog of inferred sequence binding preferences. Online library of transcription factors and their DNA binding motifs.

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