articleBiostatisticsJun 14, 2012BRONZE OA

Optimal tests for rare variant effects in sequencing association studies

Harvard University · University of North Carolina at Chapel Hill

PubMed
Indexed incrossrefpubmed

Abstract

With development of massively parallel sequencing technologies, there is a substantial need for developing powerful rare variant association tests. Common approaches include burden and non-burden tests. Burden tests assume all rare variants in the target region have effects on the phenotype in the same direction and of similar magnitude. The recently proposed sequence kernel association test (SKAT) (Wu, M. C., and others, 2011. Rare-variant association testing for sequencing data with the SKAT. The American Journal of Human Genetics 89, 82-93], an extension of the C-alpha test (Neale, B. M., and others, 2011. Testing for an unusual distribution of rare variants. PLoS Genetics 7, 161-165], provides a robust…

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Authors

3

Topics & keywords

Keywords
  • Association test
  • Sample size determination
  • Type I and type II errors
  • Statistical power
  • Multiple comparisons problem
  • Computational biology
  • Computer science
  • Genetic association
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