Unknown

Dataset Information

Methods for association analysis and meta-analysis of rare variants in families.


ABSTRACT: Advances in exome sequencing and the development of exome genotyping arrays are enabling explorations of association between rare coding variants and complex traits. To ensure power for these rare variant analyses, a variety of association tests that group variants by gene or functional unit have been proposed. Here, we extend these tests to family-based studies. We develop family-based burden tests, variable frequency threshold tests and sequence kernel association tests. Through simulations, we compare the performance of different tests. We describe situations where family-based studies provide greater power than studies of unrelated individuals to detect rare variants associated with moderate to large changes in trait values. Broadly speaking, we find that when sample sizes are limited

SUBMITTER: Feng S 

PROVIDER: S-EPMC4459524 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature