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Inference of historical migration rates via haplotype sharing
Summary: Pairs of individuals from a study cohort will often share long-range haplotypes identical-by-descent. Such haplotypes are transmitted from common ancestors that lived tens to hundreds of generations in the past, and they can now be efficiently detected in high-resolution genomic datasets, p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694674/ https://www.ncbi.nlm.nih.gov/pubmed/23812983 http://dx.doi.org/10.1093/bioinformatics/btt239 |
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author | Palamara, Pier Francesco Pe’er, Itsik |
author_facet | Palamara, Pier Francesco Pe’er, Itsik |
author_sort | Palamara, Pier Francesco |
collection | PubMed |
description | Summary: Pairs of individuals from a study cohort will often share long-range haplotypes identical-by-descent. Such haplotypes are transmitted from common ancestors that lived tens to hundreds of generations in the past, and they can now be efficiently detected in high-resolution genomic datasets, providing a novel source of information in several domains of genetic analysis. Recently, haplotype sharing distributions were studied in the context of demographic inference, and they were used to reconstruct recent demographic events in several populations. We here extend the framework to handle demographic models that contain multiple demes interacting through migration. We extensively test our formulation in several demographic scenarios, compare our approach with methods based on ancestry deconvolution and use this method to analyze Masai samples from the HapMap 3 dataset. Availability: DoRIS, a Java implementation of the proposed method, and its source code are freely available at http://www.cs.columbia.edu/∼pier/doris. Contact: itsik@cs.columbia.edu |
format | Online Article Text |
id | pubmed-3694674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36946742013-06-27 Inference of historical migration rates via haplotype sharing Palamara, Pier Francesco Pe’er, Itsik Bioinformatics Ismb/Eccb 2013 Proceedings Papers Committee July 21 to July 23, 2013, Berlin, Germany Summary: Pairs of individuals from a study cohort will often share long-range haplotypes identical-by-descent. Such haplotypes are transmitted from common ancestors that lived tens to hundreds of generations in the past, and they can now be efficiently detected in high-resolution genomic datasets, providing a novel source of information in several domains of genetic analysis. Recently, haplotype sharing distributions were studied in the context of demographic inference, and they were used to reconstruct recent demographic events in several populations. We here extend the framework to handle demographic models that contain multiple demes interacting through migration. We extensively test our formulation in several demographic scenarios, compare our approach with methods based on ancestry deconvolution and use this method to analyze Masai samples from the HapMap 3 dataset. Availability: DoRIS, a Java implementation of the proposed method, and its source code are freely available at http://www.cs.columbia.edu/∼pier/doris. Contact: itsik@cs.columbia.edu Oxford University Press 2013-07-01 2013-06-19 /pmc/articles/PMC3694674/ /pubmed/23812983 http://dx.doi.org/10.1093/bioinformatics/btt239 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Ismb/Eccb 2013 Proceedings Papers Committee July 21 to July 23, 2013, Berlin, Germany Palamara, Pier Francesco Pe’er, Itsik Inference of historical migration rates via haplotype sharing |
title | Inference of historical migration rates via haplotype sharing |
title_full | Inference of historical migration rates via haplotype sharing |
title_fullStr | Inference of historical migration rates via haplotype sharing |
title_full_unstemmed | Inference of historical migration rates via haplotype sharing |
title_short | Inference of historical migration rates via haplotype sharing |
title_sort | inference of historical migration rates via haplotype sharing |
topic | Ismb/Eccb 2013 Proceedings Papers Committee July 21 to July 23, 2013, Berlin, Germany |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694674/ https://www.ncbi.nlm.nih.gov/pubmed/23812983 http://dx.doi.org/10.1093/bioinformatics/btt239 |
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