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Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic

Over the past decade, genetic analysis has shifted from linkage studies, which identify broad regions containing putative trait loci, to genome-wide association studies, which detect the association of a marker with a specific phenotype. Because linkage and association analysis provide complementary...

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Detalles Bibliográficos
Autores principales: Hendricks, Audrey E, Zhu, Yanyan, Dupuis, Josée
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795871/
https://www.ncbi.nlm.nih.gov/pubmed/20017964
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author Hendricks, Audrey E
Zhu, Yanyan
Dupuis, Josée
author_facet Hendricks, Audrey E
Zhu, Yanyan
Dupuis, Josée
author_sort Hendricks, Audrey E
collection PubMed
description Over the past decade, genetic analysis has shifted from linkage studies, which identify broad regions containing putative trait loci, to genome-wide association studies, which detect the association of a marker with a specific phenotype. Because linkage and association analysis provide complementary information, developing a method to combine these analyses may increase the power to detect a true association. In this paper we compare a linkage score and association score test as well as a newly proposed combination of these two scores with traditional linkage and association methods.
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spelling pubmed-27958712009-12-18 Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic Hendricks, Audrey E Zhu, Yanyan Dupuis, Josée BMC Proc Proceedings Over the past decade, genetic analysis has shifted from linkage studies, which identify broad regions containing putative trait loci, to genome-wide association studies, which detect the association of a marker with a specific phenotype. Because linkage and association analysis provide complementary information, developing a method to combine these analyses may increase the power to detect a true association. In this paper we compare a linkage score and association score test as well as a newly proposed combination of these two scores with traditional linkage and association methods. BioMed Central 2009-12-15 /pmc/articles/PMC2795871/ /pubmed/20017964 Text en Copyright ©2009 Hendricks 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
Hendricks, Audrey E
Zhu, Yanyan
Dupuis, Josée
Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic
title Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic
title_full Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic
title_fullStr Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic
title_full_unstemmed Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic
title_short Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic
title_sort genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795871/
https://www.ncbi.nlm.nih.gov/pubmed/20017964
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