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Detecting individual ancestry in the human genome

Detecting and quantifying the population substructure present in a sample of individuals are of main interest in the fields of genetic epidemiology, population genetics, and forensics among others. To date, several algorithms have been proposed for estimating the amount of genetic ancestry within an...

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Detalles Bibliográficos
Autores principales: Wollstein, Andreas, Lao, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416275/
https://www.ncbi.nlm.nih.gov/pubmed/25937887
http://dx.doi.org/10.1186/s13323-015-0019-x
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author Wollstein, Andreas
Lao, Oscar
author_facet Wollstein, Andreas
Lao, Oscar
author_sort Wollstein, Andreas
collection PubMed
description Detecting and quantifying the population substructure present in a sample of individuals are of main interest in the fields of genetic epidemiology, population genetics, and forensics among others. To date, several algorithms have been proposed for estimating the amount of genetic ancestry within an individual. In the present review, we introduce the most widely used methods in population genetics for detecting individual genetic ancestry. We further show, by means of simulations, the performance of popular algorithms for detecting individual ancestry in various controlled demographic scenarios. Finally, we provide some hints on how to interpret the results from these algorithms.
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spelling pubmed-44162752015-05-02 Detecting individual ancestry in the human genome Wollstein, Andreas Lao, Oscar Investig Genet Review Detecting and quantifying the population substructure present in a sample of individuals are of main interest in the fields of genetic epidemiology, population genetics, and forensics among others. To date, several algorithms have been proposed for estimating the amount of genetic ancestry within an individual. In the present review, we introduce the most widely used methods in population genetics for detecting individual genetic ancestry. We further show, by means of simulations, the performance of popular algorithms for detecting individual ancestry in various controlled demographic scenarios. Finally, we provide some hints on how to interpret the results from these algorithms. BioMed Central 2015-05-01 /pmc/articles/PMC4416275/ /pubmed/25937887 http://dx.doi.org/10.1186/s13323-015-0019-x Text en © Wollstein and Lao; licensee BioMed Central. 2015 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Wollstein, Andreas
Lao, Oscar
Detecting individual ancestry in the human genome
title Detecting individual ancestry in the human genome
title_full Detecting individual ancestry in the human genome
title_fullStr Detecting individual ancestry in the human genome
title_full_unstemmed Detecting individual ancestry in the human genome
title_short Detecting individual ancestry in the human genome
title_sort detecting individual ancestry in the human genome
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416275/
https://www.ncbi.nlm.nih.gov/pubmed/25937887
http://dx.doi.org/10.1186/s13323-015-0019-x
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