Pathway analysis with next-generation sequencing data.

ABSTRACT: Although pathway analysis methods have been developed and successfully applied to association studies of common variants, the statistical methods for pathway-based association analysis of rare variants have not been well developed. Many investigators observed highly inflated false-positive rates and low power in pathway-based tests of association of rare variants. The inflated false-positive rates and low true-positive rates of the current methods are mainly due to their lack of ability to account for gametic phase disequilibrium. To overcome these serious limitations, we develop a novel statistic that is based on the smoothed functional principal component analysis (SFPCA) for pathway association tests with next-generation sequencing data. The developed statistic has the ability to captur

SUBMITTER: Zhao J 

PROVIDER: S-EPMC4666565 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature