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Differential Evolution approach to detect recent admixture

The genetic structure of human populations is extraordinarily complex and of fundamental importance to studies of anthropology, evolution, and medicine. As increasingly many individuals are of mixed origin, there is an unmet need for tools that can infer multiple origins. Misclassification of such i...

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Autores principales: Kozlov, Konstantin, Chebotarev, Dmitri, Hassan, Mehedi, Triska, Martin, Triska, Petr, Flegontov, Pavel, Tatarinova, Tatiana V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480842/
https://www.ncbi.nlm.nih.gov/pubmed/26111206
http://dx.doi.org/10.1186/1471-2164-16-S8-S9
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author Kozlov, Konstantin
Chebotarev, Dmitri
Hassan, Mehedi
Triska, Martin
Triska, Petr
Flegontov, Pavel
Tatarinova, Tatiana V
author_facet Kozlov, Konstantin
Chebotarev, Dmitri
Hassan, Mehedi
Triska, Martin
Triska, Petr
Flegontov, Pavel
Tatarinova, Tatiana V
author_sort Kozlov, Konstantin
collection PubMed
description The genetic structure of human populations is extraordinarily complex and of fundamental importance to studies of anthropology, evolution, and medicine. As increasingly many individuals are of mixed origin, there is an unmet need for tools that can infer multiple origins. Misclassification of such individuals can lead to incorrect and costly misinterpretations of genomic data, primarily in disease studies and drug trials. We present an advanced tool to infer ancestry that can identify the biogeographic origins of highly mixed individuals. reAdmix can incorporate individual's knowledge of ancestors (e.g. having some ancestors from Turkey or a Scottish grandmother). reAdmix is an online tool available at http://chcb.saban-chla.usc.edu/reAdmix/.
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spelling pubmed-44808422015-07-10 Differential Evolution approach to detect recent admixture Kozlov, Konstantin Chebotarev, Dmitri Hassan, Mehedi Triska, Martin Triska, Petr Flegontov, Pavel Tatarinova, Tatiana V BMC Genomics Research The genetic structure of human populations is extraordinarily complex and of fundamental importance to studies of anthropology, evolution, and medicine. As increasingly many individuals are of mixed origin, there is an unmet need for tools that can infer multiple origins. Misclassification of such individuals can lead to incorrect and costly misinterpretations of genomic data, primarily in disease studies and drug trials. We present an advanced tool to infer ancestry that can identify the biogeographic origins of highly mixed individuals. reAdmix can incorporate individual's knowledge of ancestors (e.g. having some ancestors from Turkey or a Scottish grandmother). reAdmix is an online tool available at http://chcb.saban-chla.usc.edu/reAdmix/. BioMed Central 2015-06-18 /pmc/articles/PMC4480842/ /pubmed/26111206 http://dx.doi.org/10.1186/1471-2164-16-S8-S9 Text en Copyright © 2015 Kozlov et al.; licensee BioMed Central Ltd. 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 work is properly cited. 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 Research
Kozlov, Konstantin
Chebotarev, Dmitri
Hassan, Mehedi
Triska, Martin
Triska, Petr
Flegontov, Pavel
Tatarinova, Tatiana V
Differential Evolution approach to detect recent admixture
title Differential Evolution approach to detect recent admixture
title_full Differential Evolution approach to detect recent admixture
title_fullStr Differential Evolution approach to detect recent admixture
title_full_unstemmed Differential Evolution approach to detect recent admixture
title_short Differential Evolution approach to detect recent admixture
title_sort differential evolution approach to detect recent admixture
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480842/
https://www.ncbi.nlm.nih.gov/pubmed/26111206
http://dx.doi.org/10.1186/1471-2164-16-S8-S9
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