Testing for rare variant associations in the presence of missing data.

Abstract

For studies of genetically complex diseases, many association methods have been developed to analyze rare variants. When variant calls are missing, naïve implementation of rare variant association (RVA) methods may lead to inflated type I error rates as well as a reduction in power. To overcome these problems, we developed extensions for four commonly used… (More)
DOI: 10.1002/gepi.21736

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