Premium
The Effects of SNP Genotyping Errors on the Power of The Cochran‐Armitage Linear Trend Test for Case/Control Association Studies
Author(s) -
Ahn Kwangmi,
Haynes Chad,
Kim Wonkuk,
Fleur Rose St.,
Gordon Derek,
Finch Stephen J.
Publication year - 2007
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1111/j.1469-1809.2006.00318.x
Subject(s) - genotyping , statistics , type i and type ii errors , allele frequency , sample size determination , snp , single nucleotide polymorphism , genetics , genetic model , genetic association , heterozygote advantage , mathematics , allele , biology , genotype , gene
Summary The questions addressed in this paper are: What single nucleotide polymorphism (SNP) genotyping errors are most costly, in terms of minimum sample size necessary (MSSN) to maintain constant asymptotic power and significance level, when performing case‐control studies of genetic association applying the Cochran‐Armitage trend test? And which trend test or χ 2 test is more powerful under standard genetic models with genotyping errors? Our strategy is to expand the non‐centrality parameter of the asymptotic distribution of the trend test to approximate the MSSN using a Taylor series linear in the genotyping error rates. We apply our strategy to example scenarios that assume recessive, dominant, additive, or over‐dominant disease models. The most costly errors are recording the more common homozygote as the less common homozygote, and the more common homozygote as the heterozygote, with MSSN that become indefinitely large as the minor SNP allele frequency approaches zero. Misclassifying the heterozygote as the less common homozygote is costly when using the recessive trend test on data from a recessive model. The χ 2 test has power close to, but less than, the optimal trend test and is never dominated over all genetic models studied by any specific trend test.