A two-phase procedure for non-normal quantitative trait genetic association study.

ABSTRACT:

Background

The nonparametric trend test (NPT) is well suitable for identifying the genetic variants associated with quantitative traits when the trait values do not satisfy the normal distribution assumption. If the genetic model, defined according to the mode of inheritance, is known, the NPT derived under the given genetic model is optimal. However, in practice, the genetic model is often unknown beforehand. The NPT derived from an uncorrected model might result in loss of power. When the underlying genetic model is unknown, a robust test is preferred to maintain satisfactory power.

Results

We propose a two-phase procedure to handle the uncertainty of the genetic model for non-normal quantitative trait genetic association study. First, a model selection procedure is employ

SUBMITTER: Zhang W 

PROVIDER: S-EPMC4730615 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature