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

Title
Estimating Genomic Variance Explained per Chromosome Using Pedigree and Genomic Data in Sheep
Publication Date
2014
Author(s)
Esquivelzeta-Rabell, C
Moghaddar, N
( author )
OrcID: https://orcid.org/0000-0002-3600-7752
Email: nmoghad4@une.edu.au
UNE Id une-id:nmoghad4
Clark, S
( author )
OrcID: https://orcid.org/0000-0001-8605-1738
Email: sclark37@une.edu.au
UNE Id une-id:sclark37
van der Werf, J H J
( author )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
American Society of Animal Science
Place of publication
Champaign, United States of America
UNE publication id
une:18939
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.
Link
Citation
Proceedings of the 10th World Congress on Genetics Applied to Livestock Production (WCGALP) (Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters)), p. 1-3
Start page
1
End page
3

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