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Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus.
Kasela, Silva; Daniloski, Zharko; Bollepalli, Sailalitha; Jordan, Tristan X; tenOever, Benjamin R; Sanjana, Neville E; Lappalainen, Tuuli.
  • Kasela S; New York Genome Center, New York, NY, USA. skasela@nygenome.org.
  • Daniloski Z; Department of Systems Biology, Columbia University, New York, NY, USA. skasela@nygenome.org.
  • Bollepalli S; New York Genome Center, New York, NY, USA.
  • Jordan TX; Department of Biology, New York University, New York, NY, USA.
  • tenOever BR; New York Genome Center, New York, NY, USA.
  • Sanjana NE; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Lappalainen T; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Genome Biol ; 22(1): 242, 2021 08 23.
Article in English | MEDLINE | ID: covidwho-1370944
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ABSTRACT
To date, the locus with the most robust human genetic association to COVID-19 severity is 3p21.31. Here, we integrate genome-scale CRISPR loss-of-function screens and eQTLs in diverse cell types and tissues to pinpoint genes underlying COVID-19 risk. Our findings identify SLC6A20 and CXCR6 as putative causal genes that modulate COVID-19 risk and highlight the usefulness of this integrative approach to bridge the divide between correlational and causal studies of human biology.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Membrane Transport Proteins / Quantitative Trait Loci / Receptors, CXCR6 / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Genome Biol Journal subject: Molecular Biology / Genetics Year: 2021 Document Type: Article Affiliation country: S13059-021-02454-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Membrane Transport Proteins / Quantitative Trait Loci / Receptors, CXCR6 / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Genome Biol Journal subject: Molecular Biology / Genetics Year: 2021 Document Type: Article Affiliation country: S13059-021-02454-4