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A general test of association for complex diseases with variable age of onset
Author(s) -
Li Hongzhe,
Fan Juanjuan
Publication year - 2000
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 - 10.1002/1098-2272(2000)19:1+<::aid-gepi7>3.0.co;2-j
Subject(s) - linkage disequilibrium , linkage (software) , genetic association , association (psychology) , statistics , age of onset , type i and type ii errors , variable (mathematics) , population , score test , parametric statistics , econometrics , statistical hypothesis testing , demography , medicine , allele , mathematics , genetics , disease , biology , psychology , haplotype , genotype , mathematical analysis , sociology , single nucleotide polymorphism , psychotherapist , gene
Analysis of age of onset is a key factor in linkage and association studies of some complex genetic traits. Recent methodological developments are mainly concentrated on binary or quantitative traits, in which age of onset information is ignored. We propose a linkage disequilibrium‐based Cox model and a robust score test for testing association between a marker and a disease with variable age of onset. The proposed model is semi‐parametric, with an unspecified baseline hazard function. Simulation results indicate that the proposed methods have correct error rates and good statistical power, even in the presence of population admixture. This approach offers a solution to the problem of testing for marker associations when there is a variable age of onset. Genet. Epidemiol. 19(Suppl 1):S43–S49, 2000. © 2000 Wiley‐Liss, Inc.