Skip to main navigation Skip to search Skip to main content

Estimating Genomic Variance Explained per Chromosome Using Pedigree and Genomic Data in Sheep

Research output: Contribution to journalConference articlepeer-review

Abstract

We used a half sib data structure for a growth trait in sheep as a potentially powerful design for partitioning the genetic variance across the different chromosomes. Records for post weaning weight were used from 2455 merino sheep. The model of analysis accounted for population structure by fitting genetic group effects as well as the numerator relationship matrix (A) based on pedigree. We then fitted the matrix D representing the difference between the genomic relationship matrix (G) and A. The matrix G was based on 48,599 SNP markers across the entire genome, or on all SNPs of an individual chromosome. There was a relationship between chromosome length (L) and variance explained (Vgi), but we found significant differences in (Vgi/L) between chromosomes.
Original languageEnglish
Article number685
Pages (from-to)1-3
JournalProceedings of the 10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Issue numberMethods and Tools: Statistical and genomic tools for mapping ...
Publication statusPublished - 2014
EventWCGALP 2014: 10th World Congress on Genetics Applied to Livestock Production - Vancouver, Canada
Duration: 17 Aug 201422 Aug 2014

Keywords

  • Animal Breeding

Fingerprint

Dive into the research topics of 'Estimating Genomic Variance Explained per Chromosome Using Pedigree and Genomic Data in Sheep'. Together they form a unique fingerprint.

Cite this