Integrating Nonadditive Genomic Relationship Matrices into the Study of Genetic Architecture of Complex Traits.

ABSTRACT: The study of genetic architecture of complex traits has been dramatically influenced by implementing genome-wide analytical approaches during recent years. Of particular interest are genomic prediction strategies which make use of genomic information for predicting phenotypic responses instead of detecting trait-associated loci. In this work, we present the results of a simulation study to improve our understanding of the statistical properties of estimation of genetic variance components of complex traits, and of additive, dominance, and genetic effects through best linear unbiased prediction methodology. Simulated dense marker information was used to construct genomic additive and dominance matrices, and multiple alternative pedigree- and marker-based models were compared to determine if

SUBMITTER: Nazarian A 

PROVIDER: S-EPMC4892418 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature