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Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data
There is great scientific and popular interest in understanding the genetic history of populations in the Americas. We wish to understand when different regions of the continent were inhabited, where settlers came from, and how current inhabitants relate genetically to earlier populations. Recent st...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3873240/ https://www.ncbi.nlm.nih.gov/pubmed/24385924 http://dx.doi.org/10.1371/journal.pgen.1004023 |
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author | Gravel, Simon Zakharia, Fouad Moreno-Estrada, Andres Byrnes, Jake K. Muzzio, Marina Rodriguez-Flores, Juan L. Kenny, Eimear E. Gignoux, Christopher R. Maples, Brian K. Guiblet, Wilfried Dutil, Julie Via, Marc Sandoval, Karla Bedoya, Gabriel Oleksyk, Taras K. Ruiz-Linares, Andres Burchard, Esteban G. Martinez-Cruzado, Juan Carlos Bustamante, Carlos D. |
author_facet | Gravel, Simon Zakharia, Fouad Moreno-Estrada, Andres Byrnes, Jake K. Muzzio, Marina Rodriguez-Flores, Juan L. Kenny, Eimear E. Gignoux, Christopher R. Maples, Brian K. Guiblet, Wilfried Dutil, Julie Via, Marc Sandoval, Karla Bedoya, Gabriel Oleksyk, Taras K. Ruiz-Linares, Andres Burchard, Esteban G. Martinez-Cruzado, Juan Carlos Bustamante, Carlos D. |
author_sort | Gravel, Simon |
collection | PubMed |
description | There is great scientific and popular interest in understanding the genetic history of populations in the Americas. We wish to understand when different regions of the continent were inhabited, where settlers came from, and how current inhabitants relate genetically to earlier populations. Recent studies unraveled parts of the genetic history of the continent using genotyping arrays and uniparental markers. The 1000 Genomes Project provides a unique opportunity for improving our understanding of population genetic history by providing over a hundred sequenced low coverage genomes and exomes from Colombian (CLM), Mexican-American (MXL), and Puerto Rican (PUR) populations. Here, we explore the genomic contributions of African, European, and especially Native American ancestry to these populations. Estimated Native American ancestry is [Image: see text] in MXL, [Image: see text] in CLM, and [Image: see text] in PUR. Native American ancestry in PUR is most closely related to populations surrounding the Orinoco River basin, confirming the Southern America ancestry of the Taíno people of the Caribbean. We present new methods to estimate the allele frequencies in the Native American fraction of the populations, and model their distribution using a demographic model for three ancestral Native American populations. These ancestral populations likely split in close succession: the most likely scenario, based on a peopling of the Americas [Image: see text] thousand years ago (kya), supports that the MXL Ancestors split [Image: see text]kya, with a subsequent split of the ancestors to CLM and PUR [Image: see text]kya. The model also features effective populations of [Image: see text] in Mexico, [Image: see text] in Colombia, and [Image: see text] in Puerto Rico. Modeling Identity-by-descent (IBD) and ancestry tract length, we show that post-contact populations also differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest effective size and the earlier migration from Europe. Finally, we compare IBD and ancestry assignments to find evidence for relatedness among European founders to the three populations. |
format | Online Article Text |
id | pubmed-3873240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38732402014-01-02 Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data Gravel, Simon Zakharia, Fouad Moreno-Estrada, Andres Byrnes, Jake K. Muzzio, Marina Rodriguez-Flores, Juan L. Kenny, Eimear E. Gignoux, Christopher R. Maples, Brian K. Guiblet, Wilfried Dutil, Julie Via, Marc Sandoval, Karla Bedoya, Gabriel Oleksyk, Taras K. Ruiz-Linares, Andres Burchard, Esteban G. Martinez-Cruzado, Juan Carlos Bustamante, Carlos D. PLoS Genet Research Article There is great scientific and popular interest in understanding the genetic history of populations in the Americas. We wish to understand when different regions of the continent were inhabited, where settlers came from, and how current inhabitants relate genetically to earlier populations. Recent studies unraveled parts of the genetic history of the continent using genotyping arrays and uniparental markers. The 1000 Genomes Project provides a unique opportunity for improving our understanding of population genetic history by providing over a hundred sequenced low coverage genomes and exomes from Colombian (CLM), Mexican-American (MXL), and Puerto Rican (PUR) populations. Here, we explore the genomic contributions of African, European, and especially Native American ancestry to these populations. Estimated Native American ancestry is [Image: see text] in MXL, [Image: see text] in CLM, and [Image: see text] in PUR. Native American ancestry in PUR is most closely related to populations surrounding the Orinoco River basin, confirming the Southern America ancestry of the Taíno people of the Caribbean. We present new methods to estimate the allele frequencies in the Native American fraction of the populations, and model their distribution using a demographic model for three ancestral Native American populations. These ancestral populations likely split in close succession: the most likely scenario, based on a peopling of the Americas [Image: see text] thousand years ago (kya), supports that the MXL Ancestors split [Image: see text]kya, with a subsequent split of the ancestors to CLM and PUR [Image: see text]kya. The model also features effective populations of [Image: see text] in Mexico, [Image: see text] in Colombia, and [Image: see text] in Puerto Rico. Modeling Identity-by-descent (IBD) and ancestry tract length, we show that post-contact populations also differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest effective size and the earlier migration from Europe. Finally, we compare IBD and ancestry assignments to find evidence for relatedness among European founders to the three populations. Public Library of Science 2013-12-26 /pmc/articles/PMC3873240/ /pubmed/24385924 http://dx.doi.org/10.1371/journal.pgen.1004023 Text en © 2013 Gravel et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Gravel, Simon Zakharia, Fouad Moreno-Estrada, Andres Byrnes, Jake K. Muzzio, Marina Rodriguez-Flores, Juan L. Kenny, Eimear E. Gignoux, Christopher R. Maples, Brian K. Guiblet, Wilfried Dutil, Julie Via, Marc Sandoval, Karla Bedoya, Gabriel Oleksyk, Taras K. Ruiz-Linares, Andres Burchard, Esteban G. Martinez-Cruzado, Juan Carlos Bustamante, Carlos D. Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data |
title | Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data |
title_full | Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data |
title_fullStr | Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data |
title_full_unstemmed | Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data |
title_short | Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data |
title_sort | reconstructing native american migrations from whole-genome and whole-exome data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3873240/ https://www.ncbi.nlm.nih.gov/pubmed/24385924 http://dx.doi.org/10.1371/journal.pgen.1004023 |
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