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Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome

Detecting population structure and estimating individual biogeographical ancestry are very important in population genetics studies, biomedical research and forensics. Single-nucleotide polymorphism (SNP) has long been considered to be a primary ancestry-informative marker (AIM), but it is constrain...

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Autores principales: Fan, Guang Yao, Ye, Yi, Hou, Yi Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989243/
https://www.ncbi.nlm.nih.gov/pubmed/27535707
http://dx.doi.org/10.1038/srep32178
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author Fan, Guang Yao
Ye, Yi
Hou, Yi Ping
author_facet Fan, Guang Yao
Ye, Yi
Hou, Yi Ping
author_sort Fan, Guang Yao
collection PubMed
description Detecting population structure and estimating individual biogeographical ancestry are very important in population genetics studies, biomedical research and forensics. Single-nucleotide polymorphism (SNP) has long been considered to be a primary ancestry-informative marker (AIM), but it is constrained by complex and time-consuming genotyping protocols. Following up on our previous study, we propose that a multi-insertion-deletion polymorphism (Multi-InDel) with multiple haplotypes can be useful in ancestry inference and hierarchical genetic population structures. A validation study for the X chromosome Multi-InDel marker (X-Multi-InDel) as a novel AIM was conducted. Genetic polymorphisms and genetic distances among three Chinese populations and 14 worldwide populations obtained from the 1000 Genomes database were analyzed. A Bayesian clustering method (STRUCTURE) was used to discern the continental origins of Europe, East Asia, and Africa. A minimal panel of ten X-Multi-InDels was verified to be sufficient to distinguish human ancestries from three major continental regions with nearly the same efficiency of the earlier panel with 21 insertion-deletion AIMs. Along with the development of more X-Multi-InDels, an approach using this novel marker has the potential for broad applicability as a cost-effective tool toward more accurate determinations of individual biogeographical ancestry and population stratification.
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spelling pubmed-49892432016-08-30 Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome Fan, Guang Yao Ye, Yi Hou, Yi Ping Sci Rep Article Detecting population structure and estimating individual biogeographical ancestry are very important in population genetics studies, biomedical research and forensics. Single-nucleotide polymorphism (SNP) has long been considered to be a primary ancestry-informative marker (AIM), but it is constrained by complex and time-consuming genotyping protocols. Following up on our previous study, we propose that a multi-insertion-deletion polymorphism (Multi-InDel) with multiple haplotypes can be useful in ancestry inference and hierarchical genetic population structures. A validation study for the X chromosome Multi-InDel marker (X-Multi-InDel) as a novel AIM was conducted. Genetic polymorphisms and genetic distances among three Chinese populations and 14 worldwide populations obtained from the 1000 Genomes database were analyzed. A Bayesian clustering method (STRUCTURE) was used to discern the continental origins of Europe, East Asia, and Africa. A minimal panel of ten X-Multi-InDels was verified to be sufficient to distinguish human ancestries from three major continental regions with nearly the same efficiency of the earlier panel with 21 insertion-deletion AIMs. Along with the development of more X-Multi-InDels, an approach using this novel marker has the potential for broad applicability as a cost-effective tool toward more accurate determinations of individual biogeographical ancestry and population stratification. Nature Publishing Group 2016-08-18 /pmc/articles/PMC4989243/ /pubmed/27535707 http://dx.doi.org/10.1038/srep32178 Text en Copyright © 2016, 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
Fan, Guang Yao
Ye, Yi
Hou, Yi Ping
Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome
title Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome
title_full Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome
title_fullStr Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome
title_full_unstemmed Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome
title_short Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome
title_sort detecting a hierarchical genetic population structure via multi-indel markers on the x chromosome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989243/
https://www.ncbi.nlm.nih.gov/pubmed/27535707
http://dx.doi.org/10.1038/srep32178
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