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Insular Celtic population structure and genomic footprints of migration
Previous studies of the genetic landscape of Ireland have suggested homogeneity, with population substructure undetectable using single-marker methods. Here we have harnessed the haplotype-based method fineSTRUCTURE in an Irish genome-wide SNP dataset, identifying 23 discrete genetic clusters which...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784891/ https://www.ncbi.nlm.nih.gov/pubmed/29370172 http://dx.doi.org/10.1371/journal.pgen.1007152 |
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author | Byrne, Ross P. Martiniano, Rui Cassidy, Lara M. Carrigan, Matthew Hellenthal, Garrett Hardiman, Orla Bradley, Daniel G. McLaughlin, Russell L. |
author_facet | Byrne, Ross P. Martiniano, Rui Cassidy, Lara M. Carrigan, Matthew Hellenthal, Garrett Hardiman, Orla Bradley, Daniel G. McLaughlin, Russell L. |
author_sort | Byrne, Ross P. |
collection | PubMed |
description | Previous studies of the genetic landscape of Ireland have suggested homogeneity, with population substructure undetectable using single-marker methods. Here we have harnessed the haplotype-based method fineSTRUCTURE in an Irish genome-wide SNP dataset, identifying 23 discrete genetic clusters which segregate with geographical provenance. Cluster diversity is pronounced in the west of Ireland but reduced in the east where older structure has been eroded by historical migrations. Accordingly, when populations from the neighbouring island of Britain are included, a west-east cline of Celtic-British ancestry is revealed along with a particularly striking correlation between haplotypes and geography across both islands. A strong relationship is revealed between subsets of Northern Irish and Scottish populations, where discordant genetic and geographic affinities reflect major migrations in recent centuries. Additionally, Irish genetic proximity of all Scottish samples likely reflects older strata of communication across the narrowest inter-island crossing. Using GLOBETROTTER we detected Irish admixture signals from Britain and Europe and estimated dates for events consistent with the historical migrations of the Norse-Vikings, the Anglo-Normans and the British Plantations. The influence of the former is greater than previously estimated from Y chromosome haplotypes. In all, we paint a new picture of the genetic landscape of Ireland, revealing structure which should be considered in the design of studies examining rare genetic variation and its association with traits. |
format | Online Article Text |
id | pubmed-5784891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57848912018-02-09 Insular Celtic population structure and genomic footprints of migration Byrne, Ross P. Martiniano, Rui Cassidy, Lara M. Carrigan, Matthew Hellenthal, Garrett Hardiman, Orla Bradley, Daniel G. McLaughlin, Russell L. PLoS Genet Research Article Previous studies of the genetic landscape of Ireland have suggested homogeneity, with population substructure undetectable using single-marker methods. Here we have harnessed the haplotype-based method fineSTRUCTURE in an Irish genome-wide SNP dataset, identifying 23 discrete genetic clusters which segregate with geographical provenance. Cluster diversity is pronounced in the west of Ireland but reduced in the east where older structure has been eroded by historical migrations. Accordingly, when populations from the neighbouring island of Britain are included, a west-east cline of Celtic-British ancestry is revealed along with a particularly striking correlation between haplotypes and geography across both islands. A strong relationship is revealed between subsets of Northern Irish and Scottish populations, where discordant genetic and geographic affinities reflect major migrations in recent centuries. Additionally, Irish genetic proximity of all Scottish samples likely reflects older strata of communication across the narrowest inter-island crossing. Using GLOBETROTTER we detected Irish admixture signals from Britain and Europe and estimated dates for events consistent with the historical migrations of the Norse-Vikings, the Anglo-Normans and the British Plantations. The influence of the former is greater than previously estimated from Y chromosome haplotypes. In all, we paint a new picture of the genetic landscape of Ireland, revealing structure which should be considered in the design of studies examining rare genetic variation and its association with traits. Public Library of Science 2018-01-25 /pmc/articles/PMC5784891/ /pubmed/29370172 http://dx.doi.org/10.1371/journal.pgen.1007152 Text en © 2018 Byrne 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 (http://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 Byrne, Ross P. Martiniano, Rui Cassidy, Lara M. Carrigan, Matthew Hellenthal, Garrett Hardiman, Orla Bradley, Daniel G. McLaughlin, Russell L. Insular Celtic population structure and genomic footprints of migration |
title | Insular Celtic population structure and genomic footprints of migration |
title_full | Insular Celtic population structure and genomic footprints of migration |
title_fullStr | Insular Celtic population structure and genomic footprints of migration |
title_full_unstemmed | Insular Celtic population structure and genomic footprints of migration |
title_short | Insular Celtic population structure and genomic footprints of migration |
title_sort | insular celtic population structure and genomic footprints of migration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784891/ https://www.ncbi.nlm.nih.gov/pubmed/29370172 http://dx.doi.org/10.1371/journal.pgen.1007152 |
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