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Comparison of Likelihood Approaches for Combined Segregation and Linkage Analysis of a Complex Disease and a Candidate Gene Marker Under Different Ascertainment Schemes
Author(s) -
Martinez Maria,
Goldstein Alisa M.,
O'Connell Jeffrey R.
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.s760
Subject(s) - covariate , linkage disequilibrium , linkage (software) , biology , genetics , selection (genetic algorithm) , quantitative trait locus , trait , genetic linkage , replicate , computational biology , statistics , gene , computer science , mathematics , haplotype , artificial intelligence , genotype , programming language
We compared two joint likelihood approaches, with complete (L1) or without (L2) linkage disequilibrium, under different ascertainment schemes, for the genetic analysis of the disease trait and marker gene 1 in replicate 42. Joint likelihoods were computed without a correction for the selection scheme. For the different sampling schemes we have explored, our results suggest that L1 is a more powerful approach than L2 to detect major gene and covariatc effects as well as to identify accurately gene×covariate interaction effects in a common and complex disease such as the Genetic Analysis Workshop 12 MG6 simulated trait. © 2001 Wiley‐Liss, Inc.