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Analysis of Case‐Only Studies Accounting for Genotyping Error
Author(s) -
Cheng K. F.
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.1469-1809.2006.00314.x
Subject(s) - genotyping , simple (philosophy) , computer science , statistics , econometrics , mathematics , biology , genetics , genotype , philosophy , epistemology , gene
Summary The case‐only design provides one approach to assess possible interactions between genetic and environmental factors. It has been shown that if these factors are conditionally independent, then a case‐only analysis is not only valid but also very efficient. However, a drawback of the case‐only approach is that its conclusions may be biased by genotyping errors. In this paper, our main aim is to propose a method for analysis of case‐only studies when these errors occur. We show that the bias can be adjusted through the use of internal validation data, which are obtained by genotyping some sampled individuals twice. Our analysis is based on a simple and yet highly efficient conditional likelihood approach. Simulation studies considered in this paper confirm that the new method has acceptable performance under genotyping errors.