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This article is part of the supplement: Genetic Analysis Workshop 14: Microsatellite and single-nucleotide polymorphism

Open Access Proceedings

Linkage mapping of a complex trait in the New York population of the GAW14 simulated dataset: a multivariate phenotype approach

Saurabh Ghosh*, Samsiddhi Bhattacharjee, Gourab Basu, Sandip Pal and Partha P Majumder

Author Affiliations

Human Genetics Unit, Indian Statistical Institiute, 203 B.T. Road, Kolkata 700 108, India

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BMC Genetics 2005, 6(Suppl 1):S19  doi:10.1186/1471-2156-6-S1-S19

Published: 30 December 2005

Abstract

Multivariate phenotypes underlie complex traits. Thus, instead of using the end-point trait, it may be statistically more powerful to use a multivariate phenotype correlated to the end-point trait for detecting linkage. In this study, we develop a reverse regression method to analyze linkage of Kofendrerd Personality Disorder affection status in the New York population of the Genetic Analysis Workshop 14 (GAW14) simulated dataset. When we used the multivariate phenotype, we obtained significant evidence of linkage near four of the six putative loci in at least 25% of the replicates. On the other hand, the linkage analysis based on Kofendrerd Personality Disorder status as a phenotype produced significant findings only near two of the loci and in a smaller proportion of replicates.