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Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits
Clinical laboratory tests play a pivotal role in medical decision making, but little is known about their genetic variability between populations. We report a genome-wide association study with 45 clinically relevant traits from the population of Qatar using a whole genome sequencing approach in a d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902658/ https://www.ncbi.nlm.nih.gov/pubmed/33623009 http://dx.doi.org/10.1038/s41467-021-21381-3 |
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author | Thareja, Gaurav Al-Sarraj, Yasser Belkadi, Aziz Almotawa, Maryam Suhre, Karsten Albagha, Omar M. E. |
author_facet | Thareja, Gaurav Al-Sarraj, Yasser Belkadi, Aziz Almotawa, Maryam Suhre, Karsten Albagha, Omar M. E. |
author_sort | Thareja, Gaurav |
collection | PubMed |
description | Clinical laboratory tests play a pivotal role in medical decision making, but little is known about their genetic variability between populations. We report a genome-wide association study with 45 clinically relevant traits from the population of Qatar using a whole genome sequencing approach in a discovery set of 6218 individuals and replication in 7768 subjects. Trait heritability is more similar between Qatari and European populations (r = 0.81) than with Africans (r = 0.44). We identify 281 distinct variant-trait-associations at genome wide significance that replicate known associations. Allele frequencies for replicated loci show higher correlations with European (r = 0.94) than with African (r = 0.85) or Japanese (r = 0.80) populations. We find differences in linkage disequilibrium patterns and in effect sizes of the replicated loci compared to previous reports. We also report 17 novel and Qatari-predominate signals providing insights into the biological pathways regulating these traits. We observe that European-derived polygenic scores (PGS) have reduced predictive performance in the Qatari population which could have implications for the translation of PGS between populations and their future application in precision medicine. |
format | Online Article Text |
id | pubmed-7902658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79026582021-03-11 Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits Thareja, Gaurav Al-Sarraj, Yasser Belkadi, Aziz Almotawa, Maryam Suhre, Karsten Albagha, Omar M. E. Nat Commun Article Clinical laboratory tests play a pivotal role in medical decision making, but little is known about their genetic variability between populations. We report a genome-wide association study with 45 clinically relevant traits from the population of Qatar using a whole genome sequencing approach in a discovery set of 6218 individuals and replication in 7768 subjects. Trait heritability is more similar between Qatari and European populations (r = 0.81) than with Africans (r = 0.44). We identify 281 distinct variant-trait-associations at genome wide significance that replicate known associations. Allele frequencies for replicated loci show higher correlations with European (r = 0.94) than with African (r = 0.85) or Japanese (r = 0.80) populations. We find differences in linkage disequilibrium patterns and in effect sizes of the replicated loci compared to previous reports. We also report 17 novel and Qatari-predominate signals providing insights into the biological pathways regulating these traits. We observe that European-derived polygenic scores (PGS) have reduced predictive performance in the Qatari population which could have implications for the translation of PGS between populations and their future application in precision medicine. Nature Publishing Group UK 2021-02-23 /pmc/articles/PMC7902658/ /pubmed/33623009 http://dx.doi.org/10.1038/s41467-021-21381-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Thareja, Gaurav Al-Sarraj, Yasser Belkadi, Aziz Almotawa, Maryam Suhre, Karsten Albagha, Omar M. E. Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits |
title | Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits |
title_full | Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits |
title_fullStr | Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits |
title_full_unstemmed | Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits |
title_short | Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits |
title_sort | whole genome sequencing in the middle eastern qatari population identifies genetic associations with 45 clinically relevant traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902658/ https://www.ncbi.nlm.nih.gov/pubmed/33623009 http://dx.doi.org/10.1038/s41467-021-21381-3 |
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