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Individual increase in inbreeding allows estimating effective sizes from pedigrees

We present here a simple approach to obtain reliable estimates of the effective population size in real world populations via the computation of the increase in inbreeding for each individual (delta F(i)) in a given population. The values of delta F(i )are computed as t-root of 1 - (1 - F(i)) where...

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Autores principales: Gutiérrez, Juan Pablo, Cervantes, Isabel, Molina, Antonio, Valera, Mercedes, Goyache, Félix
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674907/
https://www.ncbi.nlm.nih.gov/pubmed/18558071
http://dx.doi.org/10.1186/1297-9686-40-4-359
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author Gutiérrez, Juan Pablo
Cervantes, Isabel
Molina, Antonio
Valera, Mercedes
Goyache, Félix
author_facet Gutiérrez, Juan Pablo
Cervantes, Isabel
Molina, Antonio
Valera, Mercedes
Goyache, Félix
author_sort Gutiérrez, Juan Pablo
collection PubMed
description We present here a simple approach to obtain reliable estimates of the effective population size in real world populations via the computation of the increase in inbreeding for each individual (delta F(i)) in a given population. The values of delta F(i )are computed as t-root of 1 - (1 - F(i)) where F(i )is the inbreeding coefficient and t is the equivalent complete generations for each individual. The values of delta F computed for a pre-defined reference subset can be averaged and used to estimate effective size. A standard error of this estimate of N(e )can be further computed from the standard deviation of the individual increase in inbreeding. The methodology is demonstrated by applying it to several simulated examples and to a real pedigree in which other methodologies fail when considering reference subpopulations. The main characteristics of the approach and its possible use are discussed both for predictive purposes and for analyzing genealogies.
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spelling pubmed-26749072009-04-30 Individual increase in inbreeding allows estimating effective sizes from pedigrees Gutiérrez, Juan Pablo Cervantes, Isabel Molina, Antonio Valera, Mercedes Goyache, Félix Genet Sel Evol Methodology We present here a simple approach to obtain reliable estimates of the effective population size in real world populations via the computation of the increase in inbreeding for each individual (delta F(i)) in a given population. The values of delta F(i )are computed as t-root of 1 - (1 - F(i)) where F(i )is the inbreeding coefficient and t is the equivalent complete generations for each individual. The values of delta F computed for a pre-defined reference subset can be averaged and used to estimate effective size. A standard error of this estimate of N(e )can be further computed from the standard deviation of the individual increase in inbreeding. The methodology is demonstrated by applying it to several simulated examples and to a real pedigree in which other methodologies fail when considering reference subpopulations. The main characteristics of the approach and its possible use are discussed both for predictive purposes and for analyzing genealogies. BioMed Central 2008-07-15 /pmc/articles/PMC2674907/ /pubmed/18558071 http://dx.doi.org/10.1186/1297-9686-40-4-359 Text en Copyright © 2008 INRA, EDP Sciences
spellingShingle Methodology
Gutiérrez, Juan Pablo
Cervantes, Isabel
Molina, Antonio
Valera, Mercedes
Goyache, Félix
Individual increase in inbreeding allows estimating effective sizes from pedigrees
title Individual increase in inbreeding allows estimating effective sizes from pedigrees
title_full Individual increase in inbreeding allows estimating effective sizes from pedigrees
title_fullStr Individual increase in inbreeding allows estimating effective sizes from pedigrees
title_full_unstemmed Individual increase in inbreeding allows estimating effective sizes from pedigrees
title_short Individual increase in inbreeding allows estimating effective sizes from pedigrees
title_sort individual increase in inbreeding allows estimating effective sizes from pedigrees
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674907/
https://www.ncbi.nlm.nih.gov/pubmed/18558071
http://dx.doi.org/10.1186/1297-9686-40-4-359
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