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Detection of susceptibility loci by genome-wide linkage analysis

The objective of this study is to evaluate the efficacy of a model-free linkage statistics for finding evidence of linkage using two different maps and to illustrate how the comparison of results from several populations might provide insight into the underlying genetic etiology of the disease of in...

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Autores principales: Babron, Marie-Claude, Bourgain, Catherine, Leutenegger, Anne-Louise, Clerget-Darpoux, Françoise
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866769/
https://www.ncbi.nlm.nih.gov/pubmed/16451626
http://dx.doi.org/10.1186/1471-2156-6-S1-S18
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author Babron, Marie-Claude
Bourgain, Catherine
Leutenegger, Anne-Louise
Clerget-Darpoux, Françoise
author_facet Babron, Marie-Claude
Bourgain, Catherine
Leutenegger, Anne-Louise
Clerget-Darpoux, Françoise
author_sort Babron, Marie-Claude
collection PubMed
description The objective of this study is to evaluate the efficacy of a model-free linkage statistics for finding evidence of linkage using two different maps and to illustrate how the comparison of results from several populations might provide insight into the underlying genetic etiology of the disease of interest. The results obtained in terms of detection of the risk loci and threshold for declaring linkage and power are very similar for a dense SNP map and a sparser microsatellite map. The populations differed in terms of family ascertainment and diagnosis criteria, leading to different power to detect the individual underlying disease loci. Our results for the individual replicates are consistent with the disease model used in the simulation.
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spelling pubmed-18667692007-05-11 Detection of susceptibility loci by genome-wide linkage analysis Babron, Marie-Claude Bourgain, Catherine Leutenegger, Anne-Louise Clerget-Darpoux, Françoise BMC Genet Proceedings The objective of this study is to evaluate the efficacy of a model-free linkage statistics for finding evidence of linkage using two different maps and to illustrate how the comparison of results from several populations might provide insight into the underlying genetic etiology of the disease of interest. The results obtained in terms of detection of the risk loci and threshold for declaring linkage and power are very similar for a dense SNP map and a sparser microsatellite map. The populations differed in terms of family ascertainment and diagnosis criteria, leading to different power to detect the individual underlying disease loci. Our results for the individual replicates are consistent with the disease model used in the simulation. BioMed Central 2005-12-30 /pmc/articles/PMC1866769/ /pubmed/16451626 http://dx.doi.org/10.1186/1471-2156-6-S1-S18 Text en Copyright © 2005 Babron et al; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Babron, Marie-Claude
Bourgain, Catherine
Leutenegger, Anne-Louise
Clerget-Darpoux, Françoise
Detection of susceptibility loci by genome-wide linkage analysis
title Detection of susceptibility loci by genome-wide linkage analysis
title_full Detection of susceptibility loci by genome-wide linkage analysis
title_fullStr Detection of susceptibility loci by genome-wide linkage analysis
title_full_unstemmed Detection of susceptibility loci by genome-wide linkage analysis
title_short Detection of susceptibility loci by genome-wide linkage analysis
title_sort detection of susceptibility loci by genome-wide linkage analysis
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866769/
https://www.ncbi.nlm.nih.gov/pubmed/16451626
http://dx.doi.org/10.1186/1471-2156-6-S1-S18
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