Genomic Prediction of Complex Phenotypes Using Genic Similarity Based Relatedness Matrix.

ABSTRACT: In the last years, a series of methods for genomic prediction (GP) have been established, and the advantages of GP over pedigree best linear unbiased prediction (BLUP) have been reported. However, the majority of previously proposed GP models are purely based on mathematical considerations while seldom take the abundant biological knowledge into account. Prediction ability of those models largely depends on the consistency between the statistical assumptions and the underlying genetic architectures of traits of interest. In this study, gene annotation information was incorporated into GP models by constructing haplotypes with SNPs mapped to genic regions. Haplotype allele similarity between pairs of individuals was measured through different approaches at single gene level and then convert

SUBMITTER: Gao N 

PROVIDER: S-EPMC6127733 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature