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Calculating expected DNA remnants from ancient founding events in human population genetics
BACKGROUND: Recent advancements in sequencing and computational technologies have led to rapid generation and analysis of high quality genetic data. Such genetic data have achieved wide acceptance in studies of historic human population origins and admixture. However, in studies relating to small, r...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2588638/ https://www.ncbi.nlm.nih.gov/pubmed/18928554 http://dx.doi.org/10.1186/1471-2156-9-66 |
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author | Stacey, Andrew Sheffield, Nathan C Crandall, Keith A |
author_facet | Stacey, Andrew Sheffield, Nathan C Crandall, Keith A |
author_sort | Stacey, Andrew |
collection | PubMed |
description | BACKGROUND: Recent advancements in sequencing and computational technologies have led to rapid generation and analysis of high quality genetic data. Such genetic data have achieved wide acceptance in studies of historic human population origins and admixture. However, in studies relating to small, recent admixture events, genetic factors such as historic population sizes, genetic drift, and mutation can have pronounced effects on data reliability and utility. To address these issues we conducted genetic simulations targeting influential genetic parameters in admixed populations. RESULTS: We performed a series of simulations, adjusting variable values to assess the affect of these genetic parameters on current human population studies and what these studies infer about past population structure. Final mean allele frequencies varied from 0.0005 to over 0.50, depending on the parameters. CONCLUSION: The results of the simulations illustrate that, while genetic data may be sensitive and powerful in large genetic studies, caution must be used when applying genetic information to small, recent admixture events. For some parameter sets, genetic data will not be adequate to detect historic admixture. In such cases, studies should consider anthropologic, archeological, and linguistic data where possible. |
format | Text |
id | pubmed-2588638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25886382008-11-28 Calculating expected DNA remnants from ancient founding events in human population genetics Stacey, Andrew Sheffield, Nathan C Crandall, Keith A BMC Genet Research Article BACKGROUND: Recent advancements in sequencing and computational technologies have led to rapid generation and analysis of high quality genetic data. Such genetic data have achieved wide acceptance in studies of historic human population origins and admixture. However, in studies relating to small, recent admixture events, genetic factors such as historic population sizes, genetic drift, and mutation can have pronounced effects on data reliability and utility. To address these issues we conducted genetic simulations targeting influential genetic parameters in admixed populations. RESULTS: We performed a series of simulations, adjusting variable values to assess the affect of these genetic parameters on current human population studies and what these studies infer about past population structure. Final mean allele frequencies varied from 0.0005 to over 0.50, depending on the parameters. CONCLUSION: The results of the simulations illustrate that, while genetic data may be sensitive and powerful in large genetic studies, caution must be used when applying genetic information to small, recent admixture events. For some parameter sets, genetic data will not be adequate to detect historic admixture. In such cases, studies should consider anthropologic, archeological, and linguistic data where possible. BioMed Central 2008-10-17 /pmc/articles/PMC2588638/ /pubmed/18928554 http://dx.doi.org/10.1186/1471-2156-9-66 Text en Copyright © 2008 Stacey 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 | Research Article Stacey, Andrew Sheffield, Nathan C Crandall, Keith A Calculating expected DNA remnants from ancient founding events in human population genetics |
title | Calculating expected DNA remnants from ancient founding events in human population genetics |
title_full | Calculating expected DNA remnants from ancient founding events in human population genetics |
title_fullStr | Calculating expected DNA remnants from ancient founding events in human population genetics |
title_full_unstemmed | Calculating expected DNA remnants from ancient founding events in human population genetics |
title_short | Calculating expected DNA remnants from ancient founding events in human population genetics |
title_sort | calculating expected dna remnants from ancient founding events in human population genetics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2588638/ https://www.ncbi.nlm.nih.gov/pubmed/18928554 http://dx.doi.org/10.1186/1471-2156-9-66 |
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