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Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population

BACKGROUND: Describing how genetic history shapes the pattern of medically relevant variants could improve the understanding of how specific loci interact with each other and affect diseases and traits prevalence. The Qatari population is characterized by a complex history of admixture and substruct...

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Autores principales: Mezzavilla, Massimo, Cocca, Massimiliano, Maisano Delser, Pierpaolo, Badii, Ramin, Abbaszadeh, Fatemeh, Hadi, Khalid Abdul, Giorgia, Girotto, Gasparini, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490902/
https://www.ncbi.nlm.nih.gov/pubmed/36131251
http://dx.doi.org/10.1186/s12863-022-01087-1
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author Mezzavilla, Massimo
Cocca, Massimiliano
Maisano Delser, Pierpaolo
Badii, Ramin
Abbaszadeh, Fatemeh
Hadi, Khalid Abdul
Giorgia, Girotto
Gasparini, Paolo
author_facet Mezzavilla, Massimo
Cocca, Massimiliano
Maisano Delser, Pierpaolo
Badii, Ramin
Abbaszadeh, Fatemeh
Hadi, Khalid Abdul
Giorgia, Girotto
Gasparini, Paolo
author_sort Mezzavilla, Massimo
collection PubMed
description BACKGROUND: Describing how genetic history shapes the pattern of medically relevant variants could improve the understanding of how specific loci interact with each other and affect diseases and traits prevalence. The Qatari population is characterized by a complex history of admixture and substructure, and the study of its population genomic features would provide valuable insights into the genetic landscape of functional variants. Here, we analyzed the genomic variation of 186 newly-genotyped healthy individuals from the Qatari peninsula. RESULTS: We discovered an intricate genetic structure using ancestry related analyses. In particular, the presence of three different clusters, Cluster 1, Cluster 2 and Cluster 3 (with Near Eastern, South Asian and African ancestry, respectively), was detected with an additional fourth one (Cluster 4) with East Asian ancestry. These subpopulations show differences in the distribution of runs of homozygosity (ROH) and admixture events in the past, ranging from 40 to 5 generations ago. This complex genetic history led to a peculiar pattern of functional markers under positive selection, differentiated in shared signals and private signals. Interestingly we found several signatures of shared selection on SNPs in the FADS2 gene, hinting at a possible common evolutionary link to dietary intake. Among the private signals, we found enrichment for markers associated with HDL and LDL for Cluster 1(Near Eastern ancestry) and Cluster 3 (South Asian ancestry) and height and blood traits for Cluster 2 (African ancestry). The differences in genetic history among these populations also resulted in the different frequency distribution of putative loss of function variants. For example, homozygous carriers for rs2884737, a variant linked to an anticoagulant drug (warfarin) response, are mainly represented by individuals with predominant Bedouin ancestry (risk allele frequency G at 0.48). CONCLUSIONS: We provided a detailed catalogue of the different ancestral pattern in the Qatari population highlighting differences and similarities in the distribution of selected variants and putative loss of functions. Finally, these results would provide useful guidance for assessing genetic risk factors linked to consanguinity and genetic ancestry. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-022-01087-1.
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spelling pubmed-94909022022-09-22 Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population Mezzavilla, Massimo Cocca, Massimiliano Maisano Delser, Pierpaolo Badii, Ramin Abbaszadeh, Fatemeh Hadi, Khalid Abdul Giorgia, Girotto Gasparini, Paolo BMC Genom Data Research BACKGROUND: Describing how genetic history shapes the pattern of medically relevant variants could improve the understanding of how specific loci interact with each other and affect diseases and traits prevalence. The Qatari population is characterized by a complex history of admixture and substructure, and the study of its population genomic features would provide valuable insights into the genetic landscape of functional variants. Here, we analyzed the genomic variation of 186 newly-genotyped healthy individuals from the Qatari peninsula. RESULTS: We discovered an intricate genetic structure using ancestry related analyses. In particular, the presence of three different clusters, Cluster 1, Cluster 2 and Cluster 3 (with Near Eastern, South Asian and African ancestry, respectively), was detected with an additional fourth one (Cluster 4) with East Asian ancestry. These subpopulations show differences in the distribution of runs of homozygosity (ROH) and admixture events in the past, ranging from 40 to 5 generations ago. This complex genetic history led to a peculiar pattern of functional markers under positive selection, differentiated in shared signals and private signals. Interestingly we found several signatures of shared selection on SNPs in the FADS2 gene, hinting at a possible common evolutionary link to dietary intake. Among the private signals, we found enrichment for markers associated with HDL and LDL for Cluster 1(Near Eastern ancestry) and Cluster 3 (South Asian ancestry) and height and blood traits for Cluster 2 (African ancestry). The differences in genetic history among these populations also resulted in the different frequency distribution of putative loss of function variants. For example, homozygous carriers for rs2884737, a variant linked to an anticoagulant drug (warfarin) response, are mainly represented by individuals with predominant Bedouin ancestry (risk allele frequency G at 0.48). CONCLUSIONS: We provided a detailed catalogue of the different ancestral pattern in the Qatari population highlighting differences and similarities in the distribution of selected variants and putative loss of functions. Finally, these results would provide useful guidance for assessing genetic risk factors linked to consanguinity and genetic ancestry. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-022-01087-1. BioMed Central 2022-09-21 /pmc/articles/PMC9490902/ /pubmed/36131251 http://dx.doi.org/10.1186/s12863-022-01087-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mezzavilla, Massimo
Cocca, Massimiliano
Maisano Delser, Pierpaolo
Badii, Ramin
Abbaszadeh, Fatemeh
Hadi, Khalid Abdul
Giorgia, Girotto
Gasparini, Paolo
Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population
title Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population
title_full Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population
title_fullStr Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population
title_full_unstemmed Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population
title_short Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population
title_sort ancestry-related distribution of runs of homozygosity and functional variants in qatari population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490902/
https://www.ncbi.nlm.nih.gov/pubmed/36131251
http://dx.doi.org/10.1186/s12863-022-01087-1
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