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Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels
The benefits of ancestry informative SNP (AISNP) panels can best accrue and be properly evaluated only as sufficient reference population data become readily accessible. Ideally the set of reference populations should approximate the genetic diversity of human populations worldwide. The Kidd and Sel...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906462/ https://www.ncbi.nlm.nih.gov/pubmed/31827153 http://dx.doi.org/10.1038/s41598-019-55175-x |
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author | Pakstis, Andrew J. Speed, William C. Soundararajan, Usha Rajeevan, Haseena Kidd, Judith R. Li, Hui Kidd, Kenneth K. |
author_facet | Pakstis, Andrew J. Speed, William C. Soundararajan, Usha Rajeevan, Haseena Kidd, Judith R. Li, Hui Kidd, Kenneth K. |
author_sort | Pakstis, Andrew J. |
collection | PubMed |
description | The benefits of ancestry informative SNP (AISNP) panels can best accrue and be properly evaluated only as sufficient reference population data become readily accessible. Ideally the set of reference populations should approximate the genetic diversity of human populations worldwide. The Kidd and Seldin AISNP sets are two panels that have separately accumulated thus far the largest and most diverse collections of data on human reference populations from the major continental regions. A recent tally in the ALFRED allele frequency database finds 164 reference populations available for all the 55 Kidd AISNPs and 132 reference populations for all the 128 Seldin AISNPs. Although much more of the genetic diversity in human populations around the world still needs to be documented, 81 populations have genotype data available for all 170 AISNPs in the union of the Kidd and Seldin panels. In this report we examine admixture and principal component analyses on these 81 worldwide populations and some regional subsets of these reference populations to determine how well the combined panel illuminates population relationships. Analyses of this dataset that focused on Native American populations revealed very strong cluster patterns associated with many of the individual populations studied. |
format | Online Article Text |
id | pubmed-6906462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69064622019-12-13 Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels Pakstis, Andrew J. Speed, William C. Soundararajan, Usha Rajeevan, Haseena Kidd, Judith R. Li, Hui Kidd, Kenneth K. Sci Rep Article The benefits of ancestry informative SNP (AISNP) panels can best accrue and be properly evaluated only as sufficient reference population data become readily accessible. Ideally the set of reference populations should approximate the genetic diversity of human populations worldwide. The Kidd and Seldin AISNP sets are two panels that have separately accumulated thus far the largest and most diverse collections of data on human reference populations from the major continental regions. A recent tally in the ALFRED allele frequency database finds 164 reference populations available for all the 55 Kidd AISNPs and 132 reference populations for all the 128 Seldin AISNPs. Although much more of the genetic diversity in human populations around the world still needs to be documented, 81 populations have genotype data available for all 170 AISNPs in the union of the Kidd and Seldin panels. In this report we examine admixture and principal component analyses on these 81 worldwide populations and some regional subsets of these reference populations to determine how well the combined panel illuminates population relationships. Analyses of this dataset that focused on Native American populations revealed very strong cluster patterns associated with many of the individual populations studied. Nature Publishing Group UK 2019-12-11 /pmc/articles/PMC6906462/ /pubmed/31827153 http://dx.doi.org/10.1038/s41598-019-55175-x Text en © The Author(s) 2019 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 Pakstis, Andrew J. Speed, William C. Soundararajan, Usha Rajeevan, Haseena Kidd, Judith R. Li, Hui Kidd, Kenneth K. Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels |
title | Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels |
title_full | Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels |
title_fullStr | Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels |
title_full_unstemmed | Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels |
title_short | Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels |
title_sort | population relationships based on 170 ancestry snps from the combined kidd and seldin panels |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906462/ https://www.ncbi.nlm.nih.gov/pubmed/31827153 http://dx.doi.org/10.1038/s41598-019-55175-x |
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