<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Voloudakis G</submitter><funding>BLRD VA</funding><funding>NIDA NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>Brain and Behavior Research Foundation</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute of Mental Health</funding><funding>Icahn School of Medicine at Mount Sinai</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>52</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9441828</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(1)</volume><pubmed_abstract>Recent efforts have identified genetic loci that are associated with coronavirus disease 2019 (COVID-19) infection rates and disease outcome severity. Translating these genetic findings into druggable genes that reduce COVID-19 host susceptibility is a critical next step. Using a translational genomics approach that integrates COVID-19 genetic susceptibility variants, multi-tissue genetically regulated gene expression (GReX), and perturbagen signatures, we identified IL10RB as the top candidate gene target for COVID-19 host susceptibility. In a series of validation steps, we show that predicted GReX upregulation of IL10RB and higher IL10RB expression in COVID-19 patient blood is associated with worse COVID-19 outcomes and that in vitro IL10RB overexpression is associated with increased vir</pubmed_abstract><journal>NPJ genomic medicine</journal><pubmed_title>A translational genomics approach identifies IL10RB as the top candidate gene target for COVID-19 susceptibility.</pubmed_title><pmcid>PMC9441828</pmcid><funding_grant_id>S10 OD030463</funding_grant_id><funding_grant_id>S10 OD026880</funding_grant_id><funding_grant_id>R01 AG050986</funding_grant_id><funding_grant_id>K08 MH122911</funding_grant_id><funding_grant_id>COVID-19 Pilot Grant</funding_grant_id><funding_grant_id>T32 GM062754</funding_grant_id><funding_grant_id>R01 AG067025</funding_grant_id><funding_grant_id>I01 BX002395</funding_grant_id><funding_grant_id>R01 AG065582</funding_grant_id><funding_grant_id>I01 BX004189</funding_grant_id><funding_grant_id>K08MH122911</funding_grant_id><funding_grant_id>R01 MH109677</funding_grant_id><funding_grant_id>U01 DA048279</funding_grant_id><funding_grant_id>29350</funding_grant_id><funding_grant_id>T32 AI007180</funding_grant_id><funding_grant_id>U01 MH116442</funding_grant_id><pubmed_authors>Hoagland D</pubmed_authors><pubmed_authors>Beckmann ND</pubmed_authors><pubmed_authors>Iyengar SK</pubmed_authors><pubmed_authors>Merad M</pubmed_authors><pubmed_authors>Venkatesh S</pubmed_authors><pubmed_authors>Dobrindt K</pubmed_authors><pubmed_authors>Jiang S</pubmed_authors><pubmed_authors>Akbarian S</pubmed_authors><pubmed_authors>Luoh SW</pubmed_authors><pubmed_authors>Lee JS</pubmed_authors><pubmed_authors>Lynch JA</pubmed_authors><pubmed_authors>VA Million Veteran Program COVID-19 Science Initiative</pubmed_authors><pubmed_authors>Voloudakis G</pubmed_authors><pubmed_authors>Cho K</pubmed_authors><pubmed_authors>Corvelo A</pubmed_authors><pubmed_authors>Mount Sinai COVID-19 Biobank</pubmed_authors><pubmed_authors>Hoffman GE</pubmed_authors><pubmed_authors>Argyriou S</pubmed_authors><pubmed_authors>Roussos P</pubmed_authors><pubmed_authors>Vicari JM</pubmed_authors><pubmed_authors>Brennand KJ</pubmed_authors><pubmed_authors>Bian J</pubmed_authors><pubmed_authors>Striker R</pubmed_authors><pubmed_authors>Fullard JF</pubmed_authors><pubmed_authors>Schadt EE</pubmed_authors><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Higgins CA</pubmed_authors><pubmed_authors>tenOever BR</pubmed_authors><pubmed_authors>Charney AW</pubmed_authors><pubmed_authors>Gao L</pubmed_authors><pubmed_authors>Lee KM</pubmed_authors><pubmed_authors>Assimes TL</pubmed_authors></additional><is_claimable>false</is_claimable><name>A translational genomics approach identifies IL10RB as the top candidate gene target for COVID-19 susceptibility.</name><description>Recent efforts have identified genetic loci that are associated with coronavirus disease 2019 (COVID-19) infection rates and disease outcome severity. Translating these genetic findings into druggable genes that reduce COVID-19 host susceptibility is a critical next step. Using a translational genomics approach that integrates COVID-19 genetic susceptibility variants, multi-tissue genetically regulated gene expression (GReX), and perturbagen signatures, we identified IL10RB as the top candidate gene target for COVID-19 host susceptibility. In a series of validation steps, we show that predicted GReX upregulation of IL10RB and higher IL10RB expression in COVID-19 patient blood is associated with worse COVID-19 outcomes and that in vitro IL10RB overexpression is associated with increased vir</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2026-05-29T19:00:51.75Z</modification><creation>2025-02-19T03:29:10.899Z</creation></dates><accession>S-EPMC9441828</accession><cross_references><pubmed>36064543</pubmed><doi>10.1038/s41525-022-00324-x</doi></cross_references></HashMap>