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Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait

This paper presents a method of performing model-free LOD-score based linkage analysis on quantitative traits. It is implemented in the QMFLINK program. The method is used to perform a genome screen on the Framingham Heart Study data. A number of markers that show some support for linkage in our stu...

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Detalles Bibliográficos
Autores principales: Knight, Jo, North, Bernard V, Sham, Pak C, Curtis, David
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866513/
https://www.ncbi.nlm.nih.gov/pubmed/14975142
http://dx.doi.org/10.1186/1471-2156-4-S1-S74
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author Knight, Jo
North, Bernard V
Sham, Pak C
Curtis, David
author_facet Knight, Jo
North, Bernard V
Sham, Pak C
Curtis, David
author_sort Knight, Jo
collection PubMed
description This paper presents a method of performing model-free LOD-score based linkage analysis on quantitative traits. It is implemented in the QMFLINK program. The method is used to perform a genome screen on the Framingham Heart Study data. A number of markers that show some support for linkage in our study coincide substantially with those implicated in other linkage studies of hypertension. Although the new method needs further testing on additional real and simulated data sets we can already say that it is straightforward to apply and may offer a useful complementary approach to previously available methods for the linkage analysis of quantitative traits.
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spelling pubmed-18665132007-05-11 Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait Knight, Jo North, Bernard V Sham, Pak C Curtis, David BMC Genet Proceedings This paper presents a method of performing model-free LOD-score based linkage analysis on quantitative traits. It is implemented in the QMFLINK program. The method is used to perform a genome screen on the Framingham Heart Study data. A number of markers that show some support for linkage in our study coincide substantially with those implicated in other linkage studies of hypertension. Although the new method needs further testing on additional real and simulated data sets we can already say that it is straightforward to apply and may offer a useful complementary approach to previously available methods for the linkage analysis of quantitative traits. BioMed Central 2003-12-31 /pmc/articles/PMC1866513/ /pubmed/14975142 http://dx.doi.org/10.1186/1471-2156-4-S1-S74 Text en Copyright © 2003 Knight 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
Knight, Jo
North, Bernard V
Sham, Pak C
Curtis, David
Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait
title Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait
title_full Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait
title_fullStr Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait
title_full_unstemmed Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait
title_short Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait
title_sort mapping loci influencing blood pressure in the framingham pedigrees using model-free lod score analysis of a quantitative trait
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866513/
https://www.ncbi.nlm.nih.gov/pubmed/14975142
http://dx.doi.org/10.1186/1471-2156-4-S1-S74
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