A variance component based multi-marker association test using family and unrelated data.

ABSTRACT:

Background

Incorporating family data in genetic association studies has become increasingly appreciated, especially for its potential value in testing rare variants. We introduce here a variance-component based association test that can test multiple common or rare variants jointly using both family and unrelated samples.

Results

The proposed approach implemented in our R package aggregates or collapses the information across a region based on genetic similarity instead of genotype scores, which avoids the power loss when the effects are in different directions or have different association strengths. The method is also able to effectively leverage the LD information in a region and it can produce a test statistic with an adaptively estimated number of degrees of freedom. Ou

SUBMITTER: Wang X 

PROVIDER: S-EPMC3614458 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature