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A gene-model-free method for linkage analysis of a disease-related-trait based on analysis of proband/sibling pairs
Authors:Sung Heejong  Finch Stephen J  Ye Kenny Q  Mendell Nancy R
Affiliation:Applied Mathematics and Statistics Department, Stony Brook University, Stony Brook, New York 11794, USA. hjsung@ams.sunysb.edu
Abstract:In this paper we investigate the power of finding linkage to a disease locus through analysis of the disease-related traits. We propose two family-based gene-model-free linkage statistics. Both involve considering the distribution of the number of alleles identical by descent with the proband and comparing siblings with the disease-related trait to those without the disease-related-trait. The objective is to find linkages to disease-related traits that are pleiotropic for both the disease and the disease-related-traits. The power of these statistics is investigated for Kofendrerd Personality Disorder-related traits a (Joining/founding cults) and trait b (Fear/discomfort with strangers) of the simulated data. The answers were known prior to the execution of the reported analyses. We find that both tests have very high power when applied to the samples created by combining the data of the three cities for which we have nuclear family data.
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