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Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights

There has been limited study of Native American whole genome diversity to date, which impairs effective implementation of personalized medicine and a detailed description of its demographic history. Here we report high coverage whole genome sequencing of 76 unrelated individuals, from 27 indigenous...

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Autores principales: Aguilar-Ordoñez, Israel, Pérez-Villatoro, Fernando, García-Ortiz, Humberto, Barajas-Olmos, Francisco, Ballesteros-Villascán, Judith, González-Buenfil, Ram, Fresno, Cristobal, Garcíarrubio, Alejandro, Fernández-López, Juan Carlos, Tovar, Hugo, Hernández-Lemus, Enrique, Orozco, Lorena, Soberón, Xavier, Morett, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031408/
https://www.ncbi.nlm.nih.gov/pubmed/33831079
http://dx.doi.org/10.1371/journal.pone.0249773
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author Aguilar-Ordoñez, Israel
Pérez-Villatoro, Fernando
García-Ortiz, Humberto
Barajas-Olmos, Francisco
Ballesteros-Villascán, Judith
González-Buenfil, Ram
Fresno, Cristobal
Garcíarrubio, Alejandro
Fernández-López, Juan Carlos
Tovar, Hugo
Hernández-Lemus, Enrique
Orozco, Lorena
Soberón, Xavier
Morett, Enrique
author_facet Aguilar-Ordoñez, Israel
Pérez-Villatoro, Fernando
García-Ortiz, Humberto
Barajas-Olmos, Francisco
Ballesteros-Villascán, Judith
González-Buenfil, Ram
Fresno, Cristobal
Garcíarrubio, Alejandro
Fernández-López, Juan Carlos
Tovar, Hugo
Hernández-Lemus, Enrique
Orozco, Lorena
Soberón, Xavier
Morett, Enrique
author_sort Aguilar-Ordoñez, Israel
collection PubMed
description There has been limited study of Native American whole genome diversity to date, which impairs effective implementation of personalized medicine and a detailed description of its demographic history. Here we report high coverage whole genome sequencing of 76 unrelated individuals, from 27 indigenous groups across Mexico, with more than 97% average Native American ancestry. On average, each individual has 3.26 million Single Nucleotide Variants and short indels, that together comprise a catalog of 9,737,152 variants, 44,118 of which are novel. We report 497 common Single Nucleotide Variants (with allele frequency > 5%) mapped to drug responses and 316,577 in enhancer or promoter elements; interestingly we found some of these enhancer variants in PPARG, a nuclear receptor involved in highly prevalent health problems in Mexican population, such as obesity, diabetes, and insulin resistance. By detecting signals of positive selection we report 24 enriched key pathways under selection, most of them related to immune mechanisms. No missense variants in ACE2, the receptor responsible for the entry of the SARS CoV-2 virus, were found in any individual. Population genomics and phylogenetic analyses demonstrated stratification in a Northern-Central-Southern axis, with major substructure in the Central region. The Seri, a northern group with the most genetic divergence in our study, showed a distinctive genomic context with the most novel variants, and the most population specific genotypes. Genome-wide analysis showed that the average haplotype blocks are longer in Native Mexicans than in other world populations. With this dataset we describe previously undetected population level variation in Native Mexicans, helping to reduce the gap in genomic data representation of such groups.
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spelling pubmed-80314082021-04-14 Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights Aguilar-Ordoñez, Israel Pérez-Villatoro, Fernando García-Ortiz, Humberto Barajas-Olmos, Francisco Ballesteros-Villascán, Judith González-Buenfil, Ram Fresno, Cristobal Garcíarrubio, Alejandro Fernández-López, Juan Carlos Tovar, Hugo Hernández-Lemus, Enrique Orozco, Lorena Soberón, Xavier Morett, Enrique PLoS One Research Article There has been limited study of Native American whole genome diversity to date, which impairs effective implementation of personalized medicine and a detailed description of its demographic history. Here we report high coverage whole genome sequencing of 76 unrelated individuals, from 27 indigenous groups across Mexico, with more than 97% average Native American ancestry. On average, each individual has 3.26 million Single Nucleotide Variants and short indels, that together comprise a catalog of 9,737,152 variants, 44,118 of which are novel. We report 497 common Single Nucleotide Variants (with allele frequency > 5%) mapped to drug responses and 316,577 in enhancer or promoter elements; interestingly we found some of these enhancer variants in PPARG, a nuclear receptor involved in highly prevalent health problems in Mexican population, such as obesity, diabetes, and insulin resistance. By detecting signals of positive selection we report 24 enriched key pathways under selection, most of them related to immune mechanisms. No missense variants in ACE2, the receptor responsible for the entry of the SARS CoV-2 virus, were found in any individual. Population genomics and phylogenetic analyses demonstrated stratification in a Northern-Central-Southern axis, with major substructure in the Central region. The Seri, a northern group with the most genetic divergence in our study, showed a distinctive genomic context with the most novel variants, and the most population specific genotypes. Genome-wide analysis showed that the average haplotype blocks are longer in Native Mexicans than in other world populations. With this dataset we describe previously undetected population level variation in Native Mexicans, helping to reduce the gap in genomic data representation of such groups. Public Library of Science 2021-04-08 /pmc/articles/PMC8031408/ /pubmed/33831079 http://dx.doi.org/10.1371/journal.pone.0249773 Text en © 2021 Aguilar-Ordoñez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Aguilar-Ordoñez, Israel
Pérez-Villatoro, Fernando
García-Ortiz, Humberto
Barajas-Olmos, Francisco
Ballesteros-Villascán, Judith
González-Buenfil, Ram
Fresno, Cristobal
Garcíarrubio, Alejandro
Fernández-López, Juan Carlos
Tovar, Hugo
Hernández-Lemus, Enrique
Orozco, Lorena
Soberón, Xavier
Morett, Enrique
Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights
title Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights
title_full Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights
title_fullStr Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights
title_full_unstemmed Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights
title_short Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights
title_sort whole genome variation in 27 mexican indigenous populations, demographic and biomedical insights
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031408/
https://www.ncbi.nlm.nih.gov/pubmed/33831079
http://dx.doi.org/10.1371/journal.pone.0249773
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