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Analysis of Case‐Only Studies Accounting for Genotyping Error

Analysis of Case‐Only Studies Accounting for Genotyping Error 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Human Genetics Wiley

Analysis of Case‐Only Studies Accounting for Genotyping Error

Annals of Human Genetics , Volume 71 (2) – Jan 1, 2007

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References (26)

Publisher
Wiley
Copyright
Copyright © 2007 Wiley Subscription Services
ISSN
0003-4800
eISSN
1469-1809
DOI
10.1111/j.1469-1809.2006.00314.x
pmid
16984488
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Annals of Human GeneticsWiley

Published: Jan 1, 2007

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