Smoothed functional principal component analysis for testing association of the entire allelic spectrum of genetic variation.

ABSTRACT: Fast and cheaper next-generation sequencing technologies will generate unprecedentedly massive and highly dimensional genetic variation data that allow nearly complete evaluation of genetic variation including both common and rare variants. There are two types of association tests: variant-by-variant test and group test. The variant-by-variant test is designed to test the association of common variants, while the group test is suitable to collectively test the association of multiple rare variants. We propose here a smoothed functional principal component analysis (SFPCA) statistic as a general approach for testing association of the entire allelic spectrum of genetic variation (both common and rare variants), which utilizes the merits of both variant-by-variant analysis and group tests. B

SUBMITTER: Luo L 

PROVIDER: S-EPMC3548254 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature