Dating the age of admixture via wavelet transform analysis of genome-wide data

We describe a PCA-based genome scan approach to analyze genome-wide admixture structure, and introduce wavelet transform analysis as a method for estimating the time of admixture. We test the wavelet transform method with simulations and apply it to genome-wide SNP data from eight admixed human popu...

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Autores principales: Pugach, Irina, Matveyev, Rostislav, Wollstein, Andreas, Kayser, Manfred, Stoneking, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3188801/
https://www.ncbi.nlm.nih.gov/pubmed/21352535
http://dx.doi.org/10.1186/gb-2011-12-2-r19
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author Pugach, Irina
Matveyev, Rostislav
Wollstein, Andreas
Kayser, Manfred
Stoneking, Mark
author_facet Pugach, Irina
Matveyev, Rostislav
Wollstein, Andreas
Kayser, Manfred
Stoneking, Mark
author_sort Pugach, Irina
collection PubMed
description We describe a PCA-based genome scan approach to analyze genome-wide admixture structure, and introduce wavelet transform analysis as a method for estimating the time of admixture. We test the wavelet transform method with simulations and apply it to genome-wide SNP data from eight admixed human populations. The wavelet transform method offers better resolution than existing methods for dating admixture, and can be applied to either SNP or sequence data from humans or other species.
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spelling pubmed-31888012011-10-07 Dating the age of admixture via wavelet transform analysis of genome-wide data Pugach, Irina Matveyev, Rostislav Wollstein, Andreas Kayser, Manfred Stoneking, Mark Genome Biol Method We describe a PCA-based genome scan approach to analyze genome-wide admixture structure, and introduce wavelet transform analysis as a method for estimating the time of admixture. We test the wavelet transform method with simulations and apply it to genome-wide SNP data from eight admixed human populations. The wavelet transform method offers better resolution than existing methods for dating admixture, and can be applied to either SNP or sequence data from humans or other species. BioMed Central 2011 2011-02-25 /pmc/articles/PMC3188801/ /pubmed/21352535 http://dx.doi.org/10.1186/gb-2011-12-2-r19 Text en Copyright ©2011 Pugach et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Pugach, Irina
Matveyev, Rostislav
Wollstein, Andreas
Kayser, Manfred
Stoneking, Mark
Dating the age of admixture via wavelet transform analysis of genome-wide data
title Dating the age of admixture via wavelet transform analysis of genome-wide data
title_full Dating the age of admixture via wavelet transform analysis of genome-wide data
title_fullStr Dating the age of admixture via wavelet transform analysis of genome-wide data
title_full_unstemmed Dating the age of admixture via wavelet transform analysis of genome-wide data
title_short Dating the age of admixture via wavelet transform analysis of genome-wide data
title_sort dating the age of admixture via wavelet transform analysis of genome-wide data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3188801/
https://www.ncbi.nlm.nih.gov/pubmed/21352535
http://dx.doi.org/10.1186/gb-2011-12-2-r19
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