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Human ancestry correlates with language and reveals that race is not an objective genomic classifier

Genetic and archaeological studies have established a sub-Saharan African origin for anatomically modern humans with subsequent migrations out of Africa. Using the largest multi-locus data set known to date, we investigated genetic differentiation of early modern humans, human admixture and migratio...

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Autores principales: Baker, Jennifer L., Rotimi, Charles N., Shriner, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431528/
https://www.ncbi.nlm.nih.gov/pubmed/28484253
http://dx.doi.org/10.1038/s41598-017-01837-7
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author Baker, Jennifer L.
Rotimi, Charles N.
Shriner, Daniel
author_facet Baker, Jennifer L.
Rotimi, Charles N.
Shriner, Daniel
author_sort Baker, Jennifer L.
collection PubMed
description Genetic and archaeological studies have established a sub-Saharan African origin for anatomically modern humans with subsequent migrations out of Africa. Using the largest multi-locus data set known to date, we investigated genetic differentiation of early modern humans, human admixture and migration events, and relationships among ancestries and language groups. We compiled publicly available genome-wide genotype data on 5,966 individuals from 282 global samples, representing 30 primary language families. The best evidence supports 21 ancestries that delineate genetic structure of present-day human populations. Independent of self-identified ethno-linguistic labels, the vast majority (97.3%) of individuals have mixed ancestry, with evidence of multiple ancestries in 96.8% of samples and on all continents. The data indicate that continents, ethno-linguistic groups, races, ethnicities, and individuals all show substantial ancestral heterogeneity. We estimated correlation coefficients ranging from 0.522 to 0.962 between ancestries and language families or branches. Ancestry data support the grouping of Kwadi-Khoe, Kx’a, and Tuu languages, support the exclusion of Omotic languages from the Afroasiatic language family, and do not support the proposed Dené-Yeniseian language family as a genetically valid grouping. Ancestry data yield insight into a deeper past than linguistic data can, while linguistic data provide clarity to ancestry data.
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spelling pubmed-54315282017-05-16 Human ancestry correlates with language and reveals that race is not an objective genomic classifier Baker, Jennifer L. Rotimi, Charles N. Shriner, Daniel Sci Rep Article Genetic and archaeological studies have established a sub-Saharan African origin for anatomically modern humans with subsequent migrations out of Africa. Using the largest multi-locus data set known to date, we investigated genetic differentiation of early modern humans, human admixture and migration events, and relationships among ancestries and language groups. We compiled publicly available genome-wide genotype data on 5,966 individuals from 282 global samples, representing 30 primary language families. The best evidence supports 21 ancestries that delineate genetic structure of present-day human populations. Independent of self-identified ethno-linguistic labels, the vast majority (97.3%) of individuals have mixed ancestry, with evidence of multiple ancestries in 96.8% of samples and on all continents. The data indicate that continents, ethno-linguistic groups, races, ethnicities, and individuals all show substantial ancestral heterogeneity. We estimated correlation coefficients ranging from 0.522 to 0.962 between ancestries and language families or branches. Ancestry data support the grouping of Kwadi-Khoe, Kx’a, and Tuu languages, support the exclusion of Omotic languages from the Afroasiatic language family, and do not support the proposed Dené-Yeniseian language family as a genetically valid grouping. Ancestry data yield insight into a deeper past than linguistic data can, while linguistic data provide clarity to ancestry data. Nature Publishing Group UK 2017-05-08 /pmc/articles/PMC5431528/ /pubmed/28484253 http://dx.doi.org/10.1038/s41598-017-01837-7 Text en © The Author(s) 2017 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
Baker, Jennifer L.
Rotimi, Charles N.
Shriner, Daniel
Human ancestry correlates with language and reveals that race is not an objective genomic classifier
title Human ancestry correlates with language and reveals that race is not an objective genomic classifier
title_full Human ancestry correlates with language and reveals that race is not an objective genomic classifier
title_fullStr Human ancestry correlates with language and reveals that race is not an objective genomic classifier
title_full_unstemmed Human ancestry correlates with language and reveals that race is not an objective genomic classifier
title_short Human ancestry correlates with language and reveals that race is not an objective genomic classifier
title_sort human ancestry correlates with language and reveals that race is not an objective genomic classifier
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431528/
https://www.ncbi.nlm.nih.gov/pubmed/28484253
http://dx.doi.org/10.1038/s41598-017-01837-7
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