Genome-Wide Association and Linkage Analysis of Quantitative Traits: Comparison pf Likelihood-Ratio Test and Conditional Score Statistic
Date Issued
2009-12-15Author(s)
Hendricks, Audrey E
Zhu, Yanyan
Dupuis, Josée
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https://hdl.handle.net/2144/3081Citation (published version)
Hendricks, Audrey E, Yanyan Zhu, Josée Dupuis. "Genome-wide association and linkage analysis of quantitative traits: comparison of likelihood-ratio test and conditional score statistic" BMC Proceedings 3(Suppl 7):S100. (2009)Abstract
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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Copyright 2009 Hendricks et al; licensee BioMed Central Ltd. 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.Collections
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