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Clustering of 770,000 genomes reveals post-colonial population structure of North America

Despite strides in characterizing human history from genetic polymorphism data, progress in identifying genetic signatures of recent demography has been limited. Here we identify very recent fine-scale population structure in North America from a network of over 500 million genetic (identity-by-desc...

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Autores principales: Han, Eunjung, Carbonetto, Peter, Curtis, Ross E., Wang, Yong, Granka, Julie M., Byrnes, Jake, Noto, Keith, Kermany, Amir R., Myres, Natalie M., Barber, Mathew J., Rand, Kristin A., Song, Shiya, Roman, Theodore, Battat, Erin, Elyashiv, Eyal, Guturu, Harendra, Hong, Eurie L., Chahine, Kenneth G., Ball, Catherine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309710/
https://www.ncbi.nlm.nih.gov/pubmed/28169989
http://dx.doi.org/10.1038/ncomms14238
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author Han, Eunjung
Carbonetto, Peter
Curtis, Ross E.
Wang, Yong
Granka, Julie M.
Byrnes, Jake
Noto, Keith
Kermany, Amir R.
Myres, Natalie M.
Barber, Mathew J.
Rand, Kristin A.
Song, Shiya
Roman, Theodore
Battat, Erin
Elyashiv, Eyal
Guturu, Harendra
Hong, Eurie L.
Chahine, Kenneth G.
Ball, Catherine A.
author_facet Han, Eunjung
Carbonetto, Peter
Curtis, Ross E.
Wang, Yong
Granka, Julie M.
Byrnes, Jake
Noto, Keith
Kermany, Amir R.
Myres, Natalie M.
Barber, Mathew J.
Rand, Kristin A.
Song, Shiya
Roman, Theodore
Battat, Erin
Elyashiv, Eyal
Guturu, Harendra
Hong, Eurie L.
Chahine, Kenneth G.
Ball, Catherine A.
author_sort Han, Eunjung
collection PubMed
description Despite strides in characterizing human history from genetic polymorphism data, progress in identifying genetic signatures of recent demography has been limited. Here we identify very recent fine-scale population structure in North America from a network of over 500 million genetic (identity-by-descent, IBD) connections among 770,000 genotyped individuals of US origin. We detect densely connected clusters within the network and annotate these clusters using a database of over 20 million genealogical records. Recent population patterns captured by IBD clustering include immigrants such as Scandinavians and French Canadians; groups with continental admixture such as Puerto Ricans; settlers such as the Amish and Appalachians who experienced geographic or cultural isolation; and broad historical trends, including reduced north-south gene flow. Our results yield a detailed historical portrait of North America after European settlement and support substantial genetic heterogeneity in the United States beyond that uncovered by previous studies.
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spelling pubmed-53097102017-02-27 Clustering of 770,000 genomes reveals post-colonial population structure of North America Han, Eunjung Carbonetto, Peter Curtis, Ross E. Wang, Yong Granka, Julie M. Byrnes, Jake Noto, Keith Kermany, Amir R. Myres, Natalie M. Barber, Mathew J. Rand, Kristin A. Song, Shiya Roman, Theodore Battat, Erin Elyashiv, Eyal Guturu, Harendra Hong, Eurie L. Chahine, Kenneth G. Ball, Catherine A. Nat Commun Article Despite strides in characterizing human history from genetic polymorphism data, progress in identifying genetic signatures of recent demography has been limited. Here we identify very recent fine-scale population structure in North America from a network of over 500 million genetic (identity-by-descent, IBD) connections among 770,000 genotyped individuals of US origin. We detect densely connected clusters within the network and annotate these clusters using a database of over 20 million genealogical records. Recent population patterns captured by IBD clustering include immigrants such as Scandinavians and French Canadians; groups with continental admixture such as Puerto Ricans; settlers such as the Amish and Appalachians who experienced geographic or cultural isolation; and broad historical trends, including reduced north-south gene flow. Our results yield a detailed historical portrait of North America after European settlement and support substantial genetic heterogeneity in the United States beyond that uncovered by previous studies. Nature Publishing Group 2017-02-07 /pmc/articles/PMC5309710/ /pubmed/28169989 http://dx.doi.org/10.1038/ncomms14238 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Han, Eunjung
Carbonetto, Peter
Curtis, Ross E.
Wang, Yong
Granka, Julie M.
Byrnes, Jake
Noto, Keith
Kermany, Amir R.
Myres, Natalie M.
Barber, Mathew J.
Rand, Kristin A.
Song, Shiya
Roman, Theodore
Battat, Erin
Elyashiv, Eyal
Guturu, Harendra
Hong, Eurie L.
Chahine, Kenneth G.
Ball, Catherine A.
Clustering of 770,000 genomes reveals post-colonial population structure of North America
title Clustering of 770,000 genomes reveals post-colonial population structure of North America
title_full Clustering of 770,000 genomes reveals post-colonial population structure of North America
title_fullStr Clustering of 770,000 genomes reveals post-colonial population structure of North America
title_full_unstemmed Clustering of 770,000 genomes reveals post-colonial population structure of North America
title_short Clustering of 770,000 genomes reveals post-colonial population structure of North America
title_sort clustering of 770,000 genomes reveals post-colonial population structure of north america
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309710/
https://www.ncbi.nlm.nih.gov/pubmed/28169989
http://dx.doi.org/10.1038/ncomms14238
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