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Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population

African populations are underrepresented in medical genomics studies. For the Somali population, there is virtually no information on genomic markers with significance to precision medicine. Here, we analyzed nearly 900,000 genomic markers in samples collected from 95 unrelated individuals in the No...

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Autores principales: Ali, Abshir A., Aalto, Mikko, Jonasson, Jon, Osman, Abdimajid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101338/
https://www.ncbi.nlm.nih.gov/pubmed/32221414
http://dx.doi.org/10.1038/s41598-020-62645-0
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author Ali, Abshir A.
Aalto, Mikko
Jonasson, Jon
Osman, Abdimajid
author_facet Ali, Abshir A.
Aalto, Mikko
Jonasson, Jon
Osman, Abdimajid
author_sort Ali, Abshir A.
collection PubMed
description African populations are underrepresented in medical genomics studies. For the Somali population, there is virtually no information on genomic markers with significance to precision medicine. Here, we analyzed nearly 900,000 genomic markers in samples collected from 95 unrelated individuals in the North Eastern Somalia. ADMIXTURE program for estimation of individual ancestries revealed a homogenous Somali population. Principal component analysis with PLINK software showed approximately 60% East African and 40% West Eurasian genes in the Somali population, with a close relation to the Cushitic and Semitic speaking Ethiopian populations. We report the unique features of human leukocyte antigens (HLA) in the Somali population, which seem to differentiate from all other neighboring regions compared. Current study identified high prevalence of the diabetes type 1 (T1D) predisposing HLA DR-DQ haplotypes in Somalia. This finding may explain the increased T1D risk observed among Somali children. In addition, ethnic Somalis were found to host the highest frequencies observed thus far for several pharmacogenetic variants, including UGT1A4*2. In conclusion, we report that the Somali population displays genetic traits of significance to health and disease. The Somali dataset is publicly available and will add more information to the few genomic datasets available for African populations.
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spelling pubmed-71013382020-03-31 Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population Ali, Abshir A. Aalto, Mikko Jonasson, Jon Osman, Abdimajid Sci Rep Article African populations are underrepresented in medical genomics studies. For the Somali population, there is virtually no information on genomic markers with significance to precision medicine. Here, we analyzed nearly 900,000 genomic markers in samples collected from 95 unrelated individuals in the North Eastern Somalia. ADMIXTURE program for estimation of individual ancestries revealed a homogenous Somali population. Principal component analysis with PLINK software showed approximately 60% East African and 40% West Eurasian genes in the Somali population, with a close relation to the Cushitic and Semitic speaking Ethiopian populations. We report the unique features of human leukocyte antigens (HLA) in the Somali population, which seem to differentiate from all other neighboring regions compared. Current study identified high prevalence of the diabetes type 1 (T1D) predisposing HLA DR-DQ haplotypes in Somalia. This finding may explain the increased T1D risk observed among Somali children. In addition, ethnic Somalis were found to host the highest frequencies observed thus far for several pharmacogenetic variants, including UGT1A4*2. In conclusion, we report that the Somali population displays genetic traits of significance to health and disease. The Somali dataset is publicly available and will add more information to the few genomic datasets available for African populations. Nature Publishing Group UK 2020-03-27 /pmc/articles/PMC7101338/ /pubmed/32221414 http://dx.doi.org/10.1038/s41598-020-62645-0 Text en © The Author(s) 2020 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
Ali, Abshir A.
Aalto, Mikko
Jonasson, Jon
Osman, Abdimajid
Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population
title Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population
title_full Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population
title_fullStr Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population
title_full_unstemmed Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population
title_short Genome-wide analyses disclose the distinctive HLA architecture and the pharmacogenetic landscape of the Somali population
title_sort genome-wide analyses disclose the distinctive hla architecture and the pharmacogenetic landscape of the somali population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101338/
https://www.ncbi.nlm.nih.gov/pubmed/32221414
http://dx.doi.org/10.1038/s41598-020-62645-0
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