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An Improved F(st) Estimator
The fixation index F (st) plays a central role in ecological and evolutionary genetic studies. The estimators of Wright ([Image: see text] ), Weir and Cockerham ([Image: see text] ), and Hudson et al. ([Image: see text] ) are widely used to measure genetic differences among different populations, bu...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552798/ https://www.ncbi.nlm.nih.gov/pubmed/26317214 http://dx.doi.org/10.1371/journal.pone.0135368 |
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author | Chen, Guanjie Yuan, Ao Shriner, Daniel Tekola-Ayele, Fasil Zhou, Jie Bentley, Amy R. Zhou, Yanxun Wang, Chuntao Newport, Melanie J. Adeyemo, Adebowale Rotimi, Charles N. |
author_facet | Chen, Guanjie Yuan, Ao Shriner, Daniel Tekola-Ayele, Fasil Zhou, Jie Bentley, Amy R. Zhou, Yanxun Wang, Chuntao Newport, Melanie J. Adeyemo, Adebowale Rotimi, Charles N. |
author_sort | Chen, Guanjie |
collection | PubMed |
description | The fixation index F (st) plays a central role in ecological and evolutionary genetic studies. The estimators of Wright ([Image: see text] ), Weir and Cockerham ([Image: see text] ), and Hudson et al. ([Image: see text] ) are widely used to measure genetic differences among different populations, but all have limitations. We propose a minimum variance estimator [Image: see text] using [Image: see text] and [Image: see text] . We tested [Image: see text] in simulations and applied it to 120 unrelated East African individuals from Ethiopia and 11 subpopulations in HapMap 3 with 464,642 SNPs. Our simulation study showed that [Image: see text] has smaller bias than [Image: see text] for small sample sizes and smaller bias than [Image: see text] for large sample sizes. Also, [Image: see text] has smaller variance than [Image: see text] for small F (st) values and smaller variance than [Image: see text] for large F (st) values. We demonstrated that approximately 30 subpopulations and 30 individuals per subpopulation are required in order to accurately estimate F (st). |
format | Online Article Text |
id | pubmed-4552798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45527982015-09-10 An Improved F(st) Estimator Chen, Guanjie Yuan, Ao Shriner, Daniel Tekola-Ayele, Fasil Zhou, Jie Bentley, Amy R. Zhou, Yanxun Wang, Chuntao Newport, Melanie J. Adeyemo, Adebowale Rotimi, Charles N. PLoS One Research Article The fixation index F (st) plays a central role in ecological and evolutionary genetic studies. The estimators of Wright ([Image: see text] ), Weir and Cockerham ([Image: see text] ), and Hudson et al. ([Image: see text] ) are widely used to measure genetic differences among different populations, but all have limitations. We propose a minimum variance estimator [Image: see text] using [Image: see text] and [Image: see text] . We tested [Image: see text] in simulations and applied it to 120 unrelated East African individuals from Ethiopia and 11 subpopulations in HapMap 3 with 464,642 SNPs. Our simulation study showed that [Image: see text] has smaller bias than [Image: see text] for small sample sizes and smaller bias than [Image: see text] for large sample sizes. Also, [Image: see text] has smaller variance than [Image: see text] for small F (st) values and smaller variance than [Image: see text] for large F (st) values. We demonstrated that approximately 30 subpopulations and 30 individuals per subpopulation are required in order to accurately estimate F (st). Public Library of Science 2015-08-28 /pmc/articles/PMC4552798/ /pubmed/26317214 http://dx.doi.org/10.1371/journal.pone.0135368 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Chen, Guanjie Yuan, Ao Shriner, Daniel Tekola-Ayele, Fasil Zhou, Jie Bentley, Amy R. Zhou, Yanxun Wang, Chuntao Newport, Melanie J. Adeyemo, Adebowale Rotimi, Charles N. An Improved F(st) Estimator |
title | An Improved F(st) Estimator |
title_full | An Improved F(st) Estimator |
title_fullStr | An Improved F(st) Estimator |
title_full_unstemmed | An Improved F(st) Estimator |
title_short | An Improved F(st) Estimator |
title_sort | improved f(st) estimator |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552798/ https://www.ncbi.nlm.nih.gov/pubmed/26317214 http://dx.doi.org/10.1371/journal.pone.0135368 |
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