A fast multilocus test with adaptive SNP selection for large-scale genetic-association studies.

ABSTRACT: As increasing evidence suggests that multiple correlated genetic variants could jointly influence the outcome, a multilocus test that aggregates association evidence across multiple genetic markers in a considered gene or a genomic region may be more powerful than a single-marker test for detecting susceptibility loci. We propose a multilocus test, AdaJoint, which adopts a variable selection procedure to identify a subset of genetic markers that jointly show the strongest association signal, and defines the test statistic based on the selected genetic markers. The P-value from the AdaJoint test is evaluated by a computationally efficient algorithm that effectively adjusts for multiple-comparison, and is hundreds of times faster than the standard permutation method. Simulation studies demon

SUBMITTER: Zhang H 

PROVIDER: S-EPMC3992564 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature