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Inferring relationships between pairs of individuals from locus heterozygosities
BACKGROUND: The traditional exact method for inferring relationships between individuals from genetic data is not easily applicable in all situations that may be encountered in several fields of applied genetics. This study describes an approach that gives affordable results and is easily applicable...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2002
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138805/ https://www.ncbi.nlm.nih.gov/pubmed/12441003 http://dx.doi.org/10.1186/1471-2156-3-23 |
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author | Presciuttini, Silvano Toni, Chiara Tempestini, Elena Verdiani, Simonetta Casarino, Lucia Spinetti, Isabella Stefano, Francesco De Domenici, Ranieri Bailey-Wilson, Joan E |
author_facet | Presciuttini, Silvano Toni, Chiara Tempestini, Elena Verdiani, Simonetta Casarino, Lucia Spinetti, Isabella Stefano, Francesco De Domenici, Ranieri Bailey-Wilson, Joan E |
author_sort | Presciuttini, Silvano |
collection | PubMed |
description | BACKGROUND: The traditional exact method for inferring relationships between individuals from genetic data is not easily applicable in all situations that may be encountered in several fields of applied genetics. This study describes an approach that gives affordable results and is easily applicable; it is based on the probabilities that two individuals share 0, 1 or both alleles at a locus identical by state. RESULTS: We show that these probabilities (z(i)) depend on locus heterozygosity (H), and are scarcely affected by variation of the distribution of allele frequencies. This allows us to obtain empirical curves relating z(i)'s to H for a series of common relationships, so that the likelihood ratio of a pair of relationships between any two individuals, given their genotypes at a locus, is a function of a single parameter, H. Application to large samples of mother-child and full-sib pairs shows that the statistical power of this method to infer the correct relationship is not much lower than the exact method. Analysis of a large database of STR data proves that locus heterozygosity does not vary significantly among Caucasian populations, apart from special cases, so that the likelihood ratio of the more common relationships between pairs of individuals may be obtained by looking at tabulated z(i )values. CONCLUSIONS: A simple method is provided, which may be used by any scientist with the help of a calculator or a spreadsheet to compute the likelihood ratios of common alternative relationships between pairs of individuals. |
format | Text |
id | pubmed-138805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1388052002-12-19 Inferring relationships between pairs of individuals from locus heterozygosities Presciuttini, Silvano Toni, Chiara Tempestini, Elena Verdiani, Simonetta Casarino, Lucia Spinetti, Isabella Stefano, Francesco De Domenici, Ranieri Bailey-Wilson, Joan E BMC Genet Research Article BACKGROUND: The traditional exact method for inferring relationships between individuals from genetic data is not easily applicable in all situations that may be encountered in several fields of applied genetics. This study describes an approach that gives affordable results and is easily applicable; it is based on the probabilities that two individuals share 0, 1 or both alleles at a locus identical by state. RESULTS: We show that these probabilities (z(i)) depend on locus heterozygosity (H), and are scarcely affected by variation of the distribution of allele frequencies. This allows us to obtain empirical curves relating z(i)'s to H for a series of common relationships, so that the likelihood ratio of a pair of relationships between any two individuals, given their genotypes at a locus, is a function of a single parameter, H. Application to large samples of mother-child and full-sib pairs shows that the statistical power of this method to infer the correct relationship is not much lower than the exact method. Analysis of a large database of STR data proves that locus heterozygosity does not vary significantly among Caucasian populations, apart from special cases, so that the likelihood ratio of the more common relationships between pairs of individuals may be obtained by looking at tabulated z(i )values. CONCLUSIONS: A simple method is provided, which may be used by any scientist with the help of a calculator or a spreadsheet to compute the likelihood ratios of common alternative relationships between pairs of individuals. BioMed Central 2002-11-20 /pmc/articles/PMC138805/ /pubmed/12441003 http://dx.doi.org/10.1186/1471-2156-3-23 Text en Copyright © 2002 Presciuttini et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Article Presciuttini, Silvano Toni, Chiara Tempestini, Elena Verdiani, Simonetta Casarino, Lucia Spinetti, Isabella Stefano, Francesco De Domenici, Ranieri Bailey-Wilson, Joan E Inferring relationships between pairs of individuals from locus heterozygosities |
title | Inferring relationships between pairs of individuals from locus heterozygosities |
title_full | Inferring relationships between pairs of individuals from locus heterozygosities |
title_fullStr | Inferring relationships between pairs of individuals from locus heterozygosities |
title_full_unstemmed | Inferring relationships between pairs of individuals from locus heterozygosities |
title_short | Inferring relationships between pairs of individuals from locus heterozygosities |
title_sort | inferring relationships between pairs of individuals from locus heterozygosities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138805/ https://www.ncbi.nlm.nih.gov/pubmed/12441003 http://dx.doi.org/10.1186/1471-2156-3-23 |
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