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Bounding measures of genetic similarity and diversity using majorization

The homozygosity and the frequency of the most frequent allele at a polymorphic genetic locus have a close mathematical relationship, so that each quantity places a tight constraint on the other. We use the theory of majorization to provide a simplified derivation of the bounds on homozygosity J in...

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Detalles Bibliográficos
Autores principales: Aw, Alan J., Rosenberg, Noah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133051/
https://www.ncbi.nlm.nih.gov/pubmed/29569105
http://dx.doi.org/10.1007/s00285-018-1226-x
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author Aw, Alan J.
Rosenberg, Noah A.
author_facet Aw, Alan J.
Rosenberg, Noah A.
author_sort Aw, Alan J.
collection PubMed
description The homozygosity and the frequency of the most frequent allele at a polymorphic genetic locus have a close mathematical relationship, so that each quantity places a tight constraint on the other. We use the theory of majorization to provide a simplified derivation of the bounds on homozygosity J in terms of the frequency M of the most frequent allele. The method not only enables simpler derivations of known bounds on J in terms of M, it also produces analogous bounds on entropy statistics for genetic diversity and on homozygosity-like statistics that range in their emphasis on the most frequent allele in relation to other alleles. We illustrate the constraints on the statistics using data from human populations. The approach suggests the potential of the majorization method as a tool for deriving inequalities that characterize mathematical relationships between statistics in population genetics.
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spelling pubmed-61330512018-09-18 Bounding measures of genetic similarity and diversity using majorization Aw, Alan J. Rosenberg, Noah A. J Math Biol Article The homozygosity and the frequency of the most frequent allele at a polymorphic genetic locus have a close mathematical relationship, so that each quantity places a tight constraint on the other. We use the theory of majorization to provide a simplified derivation of the bounds on homozygosity J in terms of the frequency M of the most frequent allele. The method not only enables simpler derivations of known bounds on J in terms of M, it also produces analogous bounds on entropy statistics for genetic diversity and on homozygosity-like statistics that range in their emphasis on the most frequent allele in relation to other alleles. We illustrate the constraints on the statistics using data from human populations. The approach suggests the potential of the majorization method as a tool for deriving inequalities that characterize mathematical relationships between statistics in population genetics. Springer Berlin Heidelberg 2018-03-22 2018 /pmc/articles/PMC6133051/ /pubmed/29569105 http://dx.doi.org/10.1007/s00285-018-1226-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Aw, Alan J.
Rosenberg, Noah A.
Bounding measures of genetic similarity and diversity using majorization
title Bounding measures of genetic similarity and diversity using majorization
title_full Bounding measures of genetic similarity and diversity using majorization
title_fullStr Bounding measures of genetic similarity and diversity using majorization
title_full_unstemmed Bounding measures of genetic similarity and diversity using majorization
title_short Bounding measures of genetic similarity and diversity using majorization
title_sort bounding measures of genetic similarity and diversity using majorization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133051/
https://www.ncbi.nlm.nih.gov/pubmed/29569105
http://dx.doi.org/10.1007/s00285-018-1226-x
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