Family-based association test using both common and rare variants and accounting for directions of effects for sequencing data.

ABSTRACT: Current family-based association tests for sequencing data were mainly developed for identifying rare variants associated with a complex disease. As the disease can be influenced by the joint effects of common and rare variants, common variants with modest effects may not be identified by the methods focusing on rare variants. Moreover, variants can have risk, neutral, or protective effects. Association tests that can effectively select groups of common and rare variants that are likely to be causal and consider the directions of effects have become important. We developed the Ordered Subset - Variable Threshold - Pedigree Disequilibrium Test (OVPDT), a combination of three algorithms, for association analysis in family sequencing data. The ordered subset algorithm is used to select a subs

SUBMITTER: Chung RH 

PROVIDER: S-EPMC4171487 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature