Premium
Genotypic relative risks under ordered restriction
Author(s) -
Chiano M.N.,
Clayton D.G.
Publication year - 1998
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/(sici)1098-2272(1998)15:2<135::aid-gepi3>3.0.co;2-5
Subject(s) - locus (genetics) , statistic , test statistic , statistics , statistical hypothesis testing , genotype , genetics , chi square test , mathematics , allele , efficiency , biology , statistical power , candidate gene , genetic association , gene , single nucleotide polymorphism , estimator
In mapping diseases of complex aetiology, conventional linkage approaches narrow the location of the disease susceptibility locus to quite a large region so that candidate gene association studies are then necessary to further isolate these genes. However, even in the simplest scenario where the candidate locus is bi‐allelic, two statistical tests with various correcting factors have been proposed: a chi‐square 1 df test (counting chromosomes) which may be slightly conservative and a 2 df chi‐square test (counting genotypes) which may lack power because of the extra degree of freedom. This paper introduces a better and more powerful alternative which turns out to be a compromise between the two existing statistical tests. The asymptotic distribution of this test statistic is determined and the efficacy of the 3 tests are compared under different genetic models by simulation. Genet. Epidemiol. 15:135–146,1998. © 1998 Wiley‐Liss, Inc.