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CCRaVAT and QuTie - enabling analysis of rare variants in large-scale case control and quantitative trait association studies
Authors:Robert Lawrence  Aaron G Day-Williams  Katherine S Elliott  Andrew P Morris  Eleftheria Zeggini
Institution:1.Wellcome Trust Centre for Human Genetics,University of Oxford,Oxford,UK;2.Wellcome Trust Sanger Institute,Hinxton,UK
Abstract:

Background  

Genome-wide association studies have been successful in finding common variants influencing common traits. However, these associations only account for a fraction of trait heritability. There has been a shift in the field towards studying low frequency and rare variants, which are now widely recognised as putative complex trait determinants. Despite this increasing focus on examining the role of low frequency and rare variants in complex disease susceptibility, there is a lack of user-friendly analytical packages implementing powerful association tests for the analysis of rare variants.
Keywords:
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