GWAS signals revisited using human knockouts
Purpose: Genome-wide association studies (GWAS) have been instrumental to our understanding of the genetic risk determinants of complex traits. A common challenge in GWAS is the interpretation of signals, which are usually attributed to the genes closest to the polymorphic markers that display the s...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
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Springer Nature
2018
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| author | Maddirevula, Sateesh AlZahrani, Fatema Anazi, Shams Almureikhi, Mariam Ben-Omran, Tawfeg Abdel-Salam, Ghada M.H. Hashem, Mais Ibrahim, Niema Abdulwahab, Firdous M. Meriki, Neama Bashiri, Fahad A. Thong, Meow Keong Muthukumarasamy, Premala Mazlan, Rifhan Azwani Shaheen, Ranad Alkuraya, Fowzan S. |
| author_facet | Maddirevula, Sateesh AlZahrani, Fatema Anazi, Shams Almureikhi, Mariam Ben-Omran, Tawfeg Abdel-Salam, Ghada M.H. Hashem, Mais Ibrahim, Niema Abdulwahab, Firdous M. Meriki, Neama Bashiri, Fahad A. Thong, Meow Keong Muthukumarasamy, Premala Mazlan, Rifhan Azwani Shaheen, Ranad Alkuraya, Fowzan S. |
| author_sort | Maddirevula, Sateesh |
| collection | UM |
| description | Purpose: Genome-wide association studies (GWAS) have been instrumental to our understanding of the genetic risk determinants of complex traits. A common challenge in GWAS is the interpretation of signals, which are usually attributed to the genes closest to the polymorphic markers that display the strongest statistical association. Naturally occurring complete loss of function (knockout) of these genes in humans can inform GWAS interpretation by unmasking their deficiency state in a clinical context.Methods: We exploited the unique population structure of Saudi Arabia to identify novel knockout events in genes previously highlighted in GWAS using combined autozygome/exome analysis.Results: We report five families with homozygous truncating mutations in genes that had only been linked to human disease through GWAS. The phenotypes observed in the natural knockouts for these genes (TRAF3IP2, FRMD3, RSRC1, BTBD9, and PXDNL) range from consistent with, to unrelated to, the previously reported GWAS phenotype.Conclusion: We expand the role of human knockouts in the medical annotation of the human genome, and show their potential value in informing the interpretation of GWAS of complex traits. |
| first_indexed | 2024-03-06T05:53:59Z |
| format | Article |
| id | um.eprints-21375 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:53:59Z |
| publishDate | 2018 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | um.eprints-213752019-10-24T04:23:05Z http://eprints.um.edu.my/21375/ GWAS signals revisited using human knockouts Maddirevula, Sateesh AlZahrani, Fatema Anazi, Shams Almureikhi, Mariam Ben-Omran, Tawfeg Abdel-Salam, Ghada M.H. Hashem, Mais Ibrahim, Niema Abdulwahab, Firdous M. Meriki, Neama Bashiri, Fahad A. Thong, Meow Keong Muthukumarasamy, Premala Mazlan, Rifhan Azwani Shaheen, Ranad Alkuraya, Fowzan S. R Medicine Purpose: Genome-wide association studies (GWAS) have been instrumental to our understanding of the genetic risk determinants of complex traits. A common challenge in GWAS is the interpretation of signals, which are usually attributed to the genes closest to the polymorphic markers that display the strongest statistical association. Naturally occurring complete loss of function (knockout) of these genes in humans can inform GWAS interpretation by unmasking their deficiency state in a clinical context.Methods: We exploited the unique population structure of Saudi Arabia to identify novel knockout events in genes previously highlighted in GWAS using combined autozygome/exome analysis.Results: We report five families with homozygous truncating mutations in genes that had only been linked to human disease through GWAS. The phenotypes observed in the natural knockouts for these genes (TRAF3IP2, FRMD3, RSRC1, BTBD9, and PXDNL) range from consistent with, to unrelated to, the previously reported GWAS phenotype.Conclusion: We expand the role of human knockouts in the medical annotation of the human genome, and show their potential value in informing the interpretation of GWAS of complex traits. Springer Nature 2018 Article PeerReviewed Maddirevula, Sateesh and AlZahrani, Fatema and Anazi, Shams and Almureikhi, Mariam and Ben-Omran, Tawfeg and Abdel-Salam, Ghada M.H. and Hashem, Mais and Ibrahim, Niema and Abdulwahab, Firdous M. and Meriki, Neama and Bashiri, Fahad A. and Thong, Meow Keong and Muthukumarasamy, Premala and Mazlan, Rifhan Azwani and Shaheen, Ranad and Alkuraya, Fowzan S. (2018) GWAS signals revisited using human knockouts. Genetics in Medicine, 20 (1). pp. 64-68. ISSN 1098-3600, DOI https://doi.org/10.1038/gim.2017.78 <https://doi.org/10.1038/gim.2017.78>. https://doi.org/10.1038/gim.2017.78 doi:10.1038/gim.2017.78 |
| spellingShingle | R Medicine Maddirevula, Sateesh AlZahrani, Fatema Anazi, Shams Almureikhi, Mariam Ben-Omran, Tawfeg Abdel-Salam, Ghada M.H. Hashem, Mais Ibrahim, Niema Abdulwahab, Firdous M. Meriki, Neama Bashiri, Fahad A. Thong, Meow Keong Muthukumarasamy, Premala Mazlan, Rifhan Azwani Shaheen, Ranad Alkuraya, Fowzan S. GWAS signals revisited using human knockouts |
| title | GWAS signals revisited using human knockouts |
| title_full | GWAS signals revisited using human knockouts |
| title_fullStr | GWAS signals revisited using human knockouts |
| title_full_unstemmed | GWAS signals revisited using human knockouts |
| title_short | GWAS signals revisited using human knockouts |
| title_sort | gwas signals revisited using human knockouts |
| topic | R Medicine |
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