Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations.

ABSTRACT:

Motivation

In searching for genetic variants for complex diseases with deep sequencing data, genomic marker sets of high-dimensional genotypic data and sparse functional variants are quite common. Existing sequence association tests are incapable of identifying such marker sets or individual causal loci, although they appeared powerful to identify small marker sets with dense functional variants. In sequence association studies of admixed individuals, cryptic relatedness and population structure are known to confound the association analyses.

Method

We here propose a unified marker wise test (uFineMap) to accurately localize causal loci and a unified high-dimensional set based test (uHDSet) to identify high-dimensional sparse associations in deep sequencing genomic data of m

SUBMITTER: Cao S 

PROVIDER: S-EPMC5006306 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature