Holm multiple correction for large-scale gene-shape association mapping.

ABSTRACT:

Background

Linkage Disequilibrium (LD) is a powerful approach for the identification and characterization of morphological shape, which usually involves multiple genetic markers. However, multiple testing corrections substantially reduce the power of the associated tests. In addition, the principle component analysis (PCA), used to quantify the shape variations into several principal phenotypes, further increases the number of tests. As a result, a powerful multiple testing correction for simultaneous large-scale gene-shape association tests is an essential part of determining statistical significance. Bonferroni adjustments and permutation tests are the most popular approaches to correcting for multiple tests within LD based Quantitative Trait Loci (QTL) models. However, permutati

SUBMITTER: Fu G 

PROVIDER: S-EPMC4118635 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature