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Combining Multiple Phenotypic Traits Optimally for Detecting Linkage with Sib‐Pair Observations
Author(s) -
Xu Xin,
Palmer Lyle J.,
Horvath Steve,
Wei L.J.
Publication year - 2001
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.2001.21.s1.s479
Subject(s) - linkage (software) , biology , quantitative trait locus , trait , genetic linkage , genetics , hum , generalization , phenotype , phenotypic trait , computational biology , evolutionary biology , computer science , mathematics , gene , art , mathematical analysis , performance art , art history , programming language
A number of investigators have proposed regression methods for testing linkage between a phenotypic trait and a genetic marker with sib‐pair observations. Xu et al. [Am J Hum Genet 67:1025–8, 2000] studied a unified method for testing linkage, which tends to be more powerful than existing procedures. Often there are multiple traits, which are linked to a common set of genetic markers. In this paper, we present a simple generalization of the unified test to combine information from multiple traits optimally. We use the simulated Genetic Analysis Workshop 12 data to illustrate this methodology and show the advantage of using the combined tests over the single‐trait tests. For the four quantitative traits (Q1,...,Q4) studied, our linkage results suggest that major loci affecting Q1 and Q2 localize at or near markers D02G172, D19G032, and D09G122, while loci affecting Q3 and Q4 localize at or near markers D09G122 and D17G051. © 2001 Wiley‐Liss, Inc.