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Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample
Polymorphisms in microsatellites on the human Y chromosome have been used to estimate important demographic parameters of human history. We compare two coalescent-based statistical methods that give estimates for a number of demographic parameters using the seven Y chromosome polymorphisms in the HG...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525096/ https://www.ncbi.nlm.nih.gov/pubmed/15588495 http://dx.doi.org/10.1186/1479-7364-1-5-345 |
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author | Macpherson, J Michael Ramachandran, Sohini Diamond, Lisa Feldman, Marcus W |
author_facet | Macpherson, J Michael Ramachandran, Sohini Diamond, Lisa Feldman, Marcus W |
author_sort | Macpherson, J Michael |
collection | PubMed |
description | Polymorphisms in microsatellites on the human Y chromosome have been used to estimate important demographic parameters of human history. We compare two coalescent-based statistical methods that give estimates for a number of demographic parameters using the seven Y chromosome polymorphisms in the HGDP-CEPH Cell Line Panel, a collection of samples from 52 worldwide populations. The estimates for the time to the most recent common ancestor vary according to the method used and the assumptions about the prior distributions of model parameters, but are generally consistent with other global Y chromosome studies. We explore the sensitivity of these results to assumptions about the prior distributions and the evolutionary models themselves. |
format | Online Article Text |
id | pubmed-3525096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35250962012-12-19 Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample Macpherson, J Michael Ramachandran, Sohini Diamond, Lisa Feldman, Marcus W Hum Genomics Primary Research Polymorphisms in microsatellites on the human Y chromosome have been used to estimate important demographic parameters of human history. We compare two coalescent-based statistical methods that give estimates for a number of demographic parameters using the seven Y chromosome polymorphisms in the HGDP-CEPH Cell Line Panel, a collection of samples from 52 worldwide populations. The estimates for the time to the most recent common ancestor vary according to the method used and the assumptions about the prior distributions of model parameters, but are generally consistent with other global Y chromosome studies. We explore the sensitivity of these results to assumptions about the prior distributions and the evolutionary models themselves. BioMed Central 2004-08-01 /pmc/articles/PMC3525096/ /pubmed/15588495 http://dx.doi.org/10.1186/1479-7364-1-5-345 Text en Copyright ©2004 Henry Stewart Publications |
spellingShingle | Primary Research Macpherson, J Michael Ramachandran, Sohini Diamond, Lisa Feldman, Marcus W Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample |
title | Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample |
title_full | Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample |
title_fullStr | Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample |
title_full_unstemmed | Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample |
title_short | Demographic estimates from Y chromosome microsatellite polymorphisms: Analysis of a worldwide sample |
title_sort | demographic estimates from y chromosome microsatellite polymorphisms: analysis of a worldwide sample |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525096/ https://www.ncbi.nlm.nih.gov/pubmed/15588495 http://dx.doi.org/10.1186/1479-7364-1-5-345 |
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