Functional Regression Models for Epistasis Analysis of Multiple Quantitative Traits.

ABSTRACT: To date, most genetic analyses of phenotypes have focused on analyzing single traits or analyzing each phenotype independently. However, joint epistasis analysis of multiple complementary traits will increase statistical power and improve our understanding of the complicated genetic structure of the complex diseases. Despite their importance in uncovering the genetic structure of complex traits, the statistical methods for identifying epistasis in multiple phenotypes remains fundamentally unexplored. To fill this gap, we formulate a test for interaction between two genes in multiple quantitative trait analysis as a multiple functional regression (MFRG) in which the genotype functions (genetic variant profiles) are defined as a function of the genomic position of the genetic variants. We us

SUBMITTER: Zhang F 

PROVIDER: S-EPMC4841563 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature