Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic Data.

ABSTRACT: Traditionally, exploration of genetic variance in humans, plants, and livestock species has been limited mostly to the use of additive effects estimated using pedigree data. However, with the development of dense panels of single-nucleotide polymorphisms (SNPs), the exploration of genetic variation of complex traits is moving from quantifying the resemblance between family members to the dissection of genetic variation at individual loci. With SNPs, we were able to quantify the contribution of additive, dominance, and imprinting variance to the total genetic variance by using a SNP regression method. The method was validated in simulated data and applied to three traits (number of teats, backfat, and lifetime daily gain) in three purebred pig populations. In simulated data, the estimates o

SUBMITTER: Lopes MS 

PROVIDER: S-EPMC4683636 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature