Partitioning Phenotypic Variance Due to Parent-of-Origin Effects Using Genomic Relatedness Matrices.

ABSTRACT: We propose a new method, G-REMLadp, to estimate the phenotypic variance explained by parent-of-origin effects (POEs) across the genome. Our method uses restricted maximum likelihood analysis of genome-wide genetic relatedness matrices based on individuals' phased genotypes. Genome-wide SNP data from parent child duos or trios is required to obtain relatedness matrices indexing the parental origin of offspring alleles, as well as offspring phenotype data to partition the trait variation into variance components. To calibrate the power of G-REMLadp to detect non-null POEs when they are present, we provide an analytic approximation derived from Haseman-Elston regression. We also used simulated data to quantify the power and Type I Error rates of G-REMLadp, as well as the sensitivity of its va

SUBMITTER: Laurin C 

PROVIDER: S-EPMC5752821 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature