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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

To date the locus with the most robust human genetic association to COVID-19 susceptibility 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 p...

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Autores principales: Kasela, Silva, Daniloski, Zharko, Jordan, Tristan X., tenOever, Benjamin R., Sanjana, Neville E., Lappalainen, Tuuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057256/
https://www.ncbi.nlm.nih.gov/pubmed/33880488
http://dx.doi.org/10.1101/2021.04.09.21255184
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author Kasela, Silva
Daniloski, Zharko
Jordan, Tristan X.
tenOever, Benjamin R.
Sanjana, Neville E.
Lappalainen, Tuuli
author_facet Kasela, Silva
Daniloski, Zharko
Jordan, Tristan X.
tenOever, Benjamin R.
Sanjana, Neville E.
Lappalainen, Tuuli
author_sort Kasela, Silva
collection PubMed
description To date the locus with the most robust human genetic association to COVID-19 susceptibility 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 mediate 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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spelling pubmed-80572562021-04-21 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 Jordan, Tristan X. tenOever, Benjamin R. Sanjana, Neville E. Lappalainen, Tuuli medRxiv Article To date the locus with the most robust human genetic association to COVID-19 susceptibility 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 mediate COVID-19 risk and highlight the usefulness of this integrative approach to bridge the divide between correlational and causal studies of human biology. Cold Spring Harbor Laboratory 2021-04-13 /pmc/articles/PMC8057256/ /pubmed/33880488 http://dx.doi.org/10.1101/2021.04.09.21255184 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Kasela, Silva
Daniloski, Zharko
Jordan, Tristan X.
tenOever, Benjamin R.
Sanjana, Neville E.
Lappalainen, Tuuli
Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
title Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
title_full Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
title_fullStr Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
title_full_unstemmed Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
title_short Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
title_sort integrative approach identifies slc6a20 and cxcr6 as putative causal genes for the covid-19 gwas signal in the 3p21.31 locus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057256/
https://www.ncbi.nlm.nih.gov/pubmed/33880488
http://dx.doi.org/10.1101/2021.04.09.21255184
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