Author:
Tintle Nathan L,Ahn Kwangmi,Mendell Nancy Role,Gordon Derek,Finch Stephen J
Abstract
Abstract
Genetic Analysis Workshop 14 provided re-genotyped single-nucleotide polymorphism (SNP) data. Specifically, both Center for Inherited Disease Research (CIDR) and Affymetrix genotyped the same 11,560 SNPs from the Affymetrix GeneChip Mapping 10K Array marker set on the same 184 individuals from the Collaborative Study on the Genetics of Alcoholism database. While the inconsistency rate between CIDR and Affymetrix (two different genotypes for the same subject) was low (0.2%), the non-replication rate (two different genotypes for the same subject or one identified genotype and one missing genotype) was substantial (9.5%). The missing data could be from no-call regions, which is inconsistent with recent recommendations about the use of no-call regions in association tests. In addition, no-call regions would suggest that the actual inconsistency rate is higher than reported. A high inconsistency rate has significant impact on power in related hypothesis tests. In addition, the data are consistent with assumptions made in a recently proposed likelihood ratio test of association for re-genotyped data.
Publisher
Springer Science and Business Media LLC
Subject
Genetics(clinical),Genetics
Reference9 articles.
1. Sutcliffe JP: A probability model for errors of classification: general considerations. Psychometrika. 1965, 30: 73-96. 10.1007/BF02289748.
2. Sutcliffe JP: A probability model for errors of classification: particular cases. Psychometrika. 1965, 30: 129-155. 10.1007/BF02289444.
3. Fujisawa H, Izumi S: Inference about misclassification probabilities from repeated binary responses. Biometrics. 2000, 56: 706-711. 10.1111/j.0006-341X.2000.00706.x.
4. Tintle N: Reclassification as a cost effective sample design when classification errors are present. Ph.D. Dissertation. 2004, Stony Brook University, The Graduate School at the College of Engineering and Applied Sciences, Department of Applied Mathematics and Statistics
5. Gordon D, Finch SJ, Nothnagel M, Ott J: Power and sample size calculations for case-control genetic association tests when errors are present: application to single nucleotide polymorphisms. Hum Hered. 2002, 54: 22-33. 10.1159/000066696.
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