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Two-locus identity coefficients in pedigrees

This paper proposes a solution to a long-standing problem concerning the joint distribution of allelic identity by descent between two individuals at two linked loci. Such distributions have important applications across various fields of genetics, and detailed formulas for selected relationships ap...

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Autor principal: Vigeland, Magnus Dehli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911075/
https://www.ncbi.nlm.nih.gov/pubmed/36525359
http://dx.doi.org/10.1093/g3journal/jkac326
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author Vigeland, Magnus Dehli
author_facet Vigeland, Magnus Dehli
author_sort Vigeland, Magnus Dehli
collection PubMed
description This paper proposes a solution to a long-standing problem concerning the joint distribution of allelic identity by descent between two individuals at two linked loci. Such distributions have important applications across various fields of genetics, and detailed formulas for selected relationships appear scattered throughout the literature. However, these results were obtained essentially by brute force, with no efficient method available for general pedigrees. The recursive algorithm described in this paper, and its implementation in R, allow efficient calculation of two-locus identity coefficients in any pedigree. As a result, many existing procedures and techniques may, for the first time, be applied to complex and inbred relationships. Two such applications are discussed, concerning the expected likelihood ratio in forensic kinship testing, and variances in realized relatedness.
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spelling pubmed-99110752023-02-13 Two-locus identity coefficients in pedigrees Vigeland, Magnus Dehli G3 (Bethesda) Investigation This paper proposes a solution to a long-standing problem concerning the joint distribution of allelic identity by descent between two individuals at two linked loci. Such distributions have important applications across various fields of genetics, and detailed formulas for selected relationships appear scattered throughout the literature. However, these results were obtained essentially by brute force, with no efficient method available for general pedigrees. The recursive algorithm described in this paper, and its implementation in R, allow efficient calculation of two-locus identity coefficients in any pedigree. As a result, many existing procedures and techniques may, for the first time, be applied to complex and inbred relationships. Two such applications are discussed, concerning the expected likelihood ratio in forensic kinship testing, and variances in realized relatedness. Oxford University Press 2022-12-16 /pmc/articles/PMC9911075/ /pubmed/36525359 http://dx.doi.org/10.1093/g3journal/jkac326 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigation
Vigeland, Magnus Dehli
Two-locus identity coefficients in pedigrees
title Two-locus identity coefficients in pedigrees
title_full Two-locus identity coefficients in pedigrees
title_fullStr Two-locus identity coefficients in pedigrees
title_full_unstemmed Two-locus identity coefficients in pedigrees
title_short Two-locus identity coefficients in pedigrees
title_sort two-locus identity coefficients in pedigrees
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911075/
https://www.ncbi.nlm.nih.gov/pubmed/36525359
http://dx.doi.org/10.1093/g3journal/jkac326
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