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First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome
Different human races across the globe responded in a different way to the SARS-CoV-2 infection leading to different disease severity. Therefore, it is anticipated that host genetic factors have a straight association with the COVID-19. We identified a total 6, 7, and 6 genomic loci for deceased-rec...
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Published in: | Genomics (San Diego, Calif.) Calif.), 2022-07, Vol.114 (4), p.110399-110399, Article 110399 |
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creator | Pandit, Ramesh Singh, Indra Ansari, Afzal Raval, Janvi Patel, Zarna Dixit, Raghav Shah, Pranay Upadhyay, Kamlesh Chauhan, Naresh Desai, Kairavi Shah, Meenakshi Modi, Bhavesh Joshi, Madhvi Joshi, Chaitanya |
description | Different human races across the globe responded in a different way to the SARS-CoV-2 infection leading to different disease severity. Therefore, it is anticipated that host genetic factors have a straight association with the COVID-19. We identified a total 6, 7, and 6 genomic loci for deceased-recovered, asymptomatic-recovered, and deceased-asymptomatic group comparison, respectively. Unfavourable alleles of the markers nearby the genes which are associated with lung and heart diseases such as Tumor necrosis factor superfamily (TNFSF4&18), showed noteworthy association with the disease severity and outcome for the COVID-19 patients in the western Indian population. The markers found with significant association with disease prognosis or recovery are of value in determining the individual's response to SARS-CoV-2 infection and can be used for the risk prediction in COVID-19. Besides, GWAS study in other populations from India may help to strengthen the outcome of this study.
•Genome Wide Association Study for the western Indian population was performed.•Genomics loci for COVID-19 severity and outcome has been identified.•TNFSF4&18, GOT2P2, and DHX15 are significantly associated with COVID-19 severity.•RFX3 and UBXN10 found to be protective in COVID-19 patients in the study population.•The identified unfavourable alleles can be used for risk prediction for COVID-19. |
doi_str_mv | 10.1016/j.ygeno.2022.110399 |
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•Genome Wide Association Study for the western Indian population was performed.•Genomics loci for COVID-19 severity and outcome has been identified.•TNFSF4&18, GOT2P2, and DHX15 are significantly associated with COVID-19 severity.•RFX3 and UBXN10 found to be protective in COVID-19 patients in the study population.•The identified unfavourable alleles can be used for risk prediction for COVID-19.</description><identifier>ISSN: 0888-7543</identifier><identifier>EISSN: 1089-8646</identifier><identifier>DOI: 10.1016/j.ygeno.2022.110399</identifier><identifier>PMID: 35680011</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Alleles ; Asian People ; COVID-19 ; COVID-19 - diagnosis ; COVID-19 - genetics ; Genome wide association (GWAS) ; Genome-Wide Association Study ; Host genetic factor ; Humans ; India ; OX40 Ligand - genetics ; SARS-CoV-2 ; Tumor Necrosis Factors - genetics</subject><ispartof>Genomics (San Diego, Calif.), 2022-07, Vol.114 (4), p.110399-110399, Article 110399</ispartof><rights>2022 The Authors</rights><rights>Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2022 The Authors 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-c5548d0789f8ae550777af36294b251786c0f638b2c8c22f63135e522c3e16be3</citedby><cites>FETCH-LOGICAL-c459t-c5548d0789f8ae550777af36294b251786c0f638b2c8c22f63135e522c3e16be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35680011$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pandit, Ramesh</creatorcontrib><creatorcontrib>Singh, Indra</creatorcontrib><creatorcontrib>Ansari, Afzal</creatorcontrib><creatorcontrib>Raval, Janvi</creatorcontrib><creatorcontrib>Patel, Zarna</creatorcontrib><creatorcontrib>Dixit, Raghav</creatorcontrib><creatorcontrib>Shah, Pranay</creatorcontrib><creatorcontrib>Upadhyay, Kamlesh</creatorcontrib><creatorcontrib>Chauhan, Naresh</creatorcontrib><creatorcontrib>Desai, Kairavi</creatorcontrib><creatorcontrib>Shah, Meenakshi</creatorcontrib><creatorcontrib>Modi, Bhavesh</creatorcontrib><creatorcontrib>Joshi, Madhvi</creatorcontrib><creatorcontrib>Joshi, Chaitanya</creatorcontrib><title>First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome</title><title>Genomics (San Diego, Calif.)</title><addtitle>Genomics</addtitle><description>Different human races across the globe responded in a different way to the SARS-CoV-2 infection leading to different disease severity. Therefore, it is anticipated that host genetic factors have a straight association with the COVID-19. We identified a total 6, 7, and 6 genomic loci for deceased-recovered, asymptomatic-recovered, and deceased-asymptomatic group comparison, respectively. Unfavourable alleles of the markers nearby the genes which are associated with lung and heart diseases such as Tumor necrosis factor superfamily (TNFSF4&18), showed noteworthy association with the disease severity and outcome for the COVID-19 patients in the western Indian population. The markers found with significant association with disease prognosis or recovery are of value in determining the individual's response to SARS-CoV-2 infection and can be used for the risk prediction in COVID-19. Besides, GWAS study in other populations from India may help to strengthen the outcome of this study.
•Genome Wide Association Study for the western Indian population was performed.•Genomics loci for COVID-19 severity and outcome has been identified.•TNFSF4&18, GOT2P2, and DHX15 are significantly associated with COVID-19 severity.•RFX3 and UBXN10 found to be protective in COVID-19 patients in the study population.•The identified unfavourable alleles can be used for risk prediction for COVID-19.</description><subject>Alleles</subject><subject>Asian People</subject><subject>COVID-19</subject><subject>COVID-19 - diagnosis</subject><subject>COVID-19 - genetics</subject><subject>Genome wide association (GWAS)</subject><subject>Genome-Wide Association Study</subject><subject>Host genetic factor</subject><subject>Humans</subject><subject>India</subject><subject>OX40 Ligand - genetics</subject><subject>SARS-CoV-2</subject><subject>Tumor Necrosis Factors - genetics</subject><issn>0888-7543</issn><issn>1089-8646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc1uEzEUhS0EoqHwBEjISzaT-mfssRcgoZRCpErdAFvL8dxpHU3sYHtS5RF4axymVGXDypZ9zneu7kHoLSVLSqi82C6PtxDikhHGlpQSrvUztKBE6UbJVj5HC6KUajrR8jP0KuctIURzxV6iMy6kIoTSBfp15VMuOME-poJjwCfkDvC97wHbnKPztvj6nsvUH7EP-B5ygRTwOvTeBryP-2mcJQkOYMeM72IlVg4U7_BgXYkp4yEmvLr5sb5sqMa5KpMvR2xDj-NUXI18jV4M1Q1vHs5z9P3q87fV1-b65st69em6ca3QpXFCtKonndKDsiAE6brODlwy3W6YoJ2SjgySqw1zyjFWr5QLEIw5DlRugJ-jjzN3P2120DsIJdnR7JPf2XQ00Xrz70_wd-Y2HoymUrdUV8D7B0CKP6e6DbPz2cE42gBxyobJTkjCuo5WKZ-lLsWcEwyPMZSYU4lma_6UaE4lmrnE6nr3dMJHz9_WquDDLIC6p4OHZLLzEBz0PoErpo_-vwG_AVoKsXI</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Pandit, Ramesh</creator><creator>Singh, Indra</creator><creator>Ansari, Afzal</creator><creator>Raval, Janvi</creator><creator>Patel, Zarna</creator><creator>Dixit, Raghav</creator><creator>Shah, Pranay</creator><creator>Upadhyay, Kamlesh</creator><creator>Chauhan, Naresh</creator><creator>Desai, Kairavi</creator><creator>Shah, Meenakshi</creator><creator>Modi, Bhavesh</creator><creator>Joshi, Madhvi</creator><creator>Joshi, Chaitanya</creator><general>Elsevier Inc</general><general>The Authors. 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•Genome Wide Association Study for the western Indian population was performed.•Genomics loci for COVID-19 severity and outcome has been identified.•TNFSF4&18, GOT2P2, and DHX15 are significantly associated with COVID-19 severity.•RFX3 and UBXN10 found to be protective in COVID-19 patients in the study population.•The identified unfavourable alleles can be used for risk prediction for COVID-19.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>35680011</pmid><doi>10.1016/j.ygeno.2022.110399</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alleles Asian People COVID-19 COVID-19 - diagnosis COVID-19 - genetics Genome wide association (GWAS) Genome-Wide Association Study Host genetic factor Humans India OX40 Ligand - genetics SARS-CoV-2 Tumor Necrosis Factors - genetics |
title | First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome |
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