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Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites
In this paper, data on 20 X-chromosomal microsatellite polymorphisms from the HGDP-CEPH cell line panel are used to infer human population structure. Inferences from these data are compared to those obtained from autosomal microsatellites. Some of the major features of the structure seen with 377 au...
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/PMC3525066/ https://www.ncbi.nlm.nih.gov/pubmed/15601537 http://dx.doi.org/10.1186/1479-7364-1-2-87 |
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author | Ramachandran, Sohini Rosenberg, Noah A Zhivotovsky, Lev A Feldman, Marcus W |
author_facet | Ramachandran, Sohini Rosenberg, Noah A Zhivotovsky, Lev A Feldman, Marcus W |
author_sort | Ramachandran, Sohini |
collection | PubMed |
description | In this paper, data on 20 X-chromosomal microsatellite polymorphisms from the HGDP-CEPH cell line panel are used to infer human population structure. Inferences from these data are compared to those obtained from autosomal microsatellites. Some of the major features of the structure seen with 377 autosomal markers are generally visible with the X-linked markers, although the latter provide less resolution. Differences between the X-chromosomal and autosomal results can be explained without requiring major differences in demographic parameters between males and females. The dependence of the partitioning on the number of individuals sampled from each region and on the number of markers used is discussed. |
format | Online Article Text |
id | pubmed-3525066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35250662013-05-10 Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites Ramachandran, Sohini Rosenberg, Noah A Zhivotovsky, Lev A Feldman, Marcus W Hum Genomics Primary Research In this paper, data on 20 X-chromosomal microsatellite polymorphisms from the HGDP-CEPH cell line panel are used to infer human population structure. Inferences from these data are compared to those obtained from autosomal microsatellites. Some of the major features of the structure seen with 377 autosomal markers are generally visible with the X-linked markers, although the latter provide less resolution. Differences between the X-chromosomal and autosomal results can be explained without requiring major differences in demographic parameters between males and females. The dependence of the partitioning on the number of individuals sampled from each region and on the number of markers used is discussed. BioMed Central 2004-01-01 /pmc/articles/PMC3525066/ /pubmed/15601537 http://dx.doi.org/10.1186/1479-7364-1-2-87 Text en Copyright ©2004 Henry Stewart Publications |
spellingShingle | Primary Research Ramachandran, Sohini Rosenberg, Noah A Zhivotovsky, Lev A Feldman, Marcus W Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites |
title | Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites |
title_full | Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites |
title_fullStr | Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites |
title_full_unstemmed | Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites |
title_short | Robustness of the inference of human population structure: A comparison of X-chromosomal and autosomal microsatellites |
title_sort | robustness of the inference of human population structure: a comparison of x-chromosomal and autosomal microsatellites |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525066/ https://www.ncbi.nlm.nih.gov/pubmed/15601537 http://dx.doi.org/10.1186/1479-7364-1-2-87 |
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