Genome-wide association analyses for growth and feed efficiency traits in beef cattle

Lu, D., Miller, S., Sargolzaei, M., Kelly, M., Voort, G. Vander, Caldwell, T., Wang, Z., Plastow, G. and Moore, S. (2013) Genome-wide association analyses for growth and feed efficiency traits in beef cattle. Journal of Animal Science, 91 8: 3612-3633. doi:10.2527/jas2012-5716


Author Lu, D.
Miller, S.
Sargolzaei, M.
Kelly, M.
Voort, G. Vander
Caldwell, T.
Wang, Z.
Plastow, G.
Moore, S.
Title Genome-wide association analyses for growth and feed efficiency traits in beef cattle
Journal name Journal of Animal Science   Check publisher's open access policy
ISSN 0021-8812
1525-3163
Publication date 2013-08-01
Sub-type Article (original research)
DOI 10.2527/jas2012-5716
Open Access Status Not yet assessed
Volume 91
Issue 8
Start page 3612
End page 3633
Total pages 22
Place of publication Savoy, IL, United States
Publisher American Society of Animal Science
Language eng
Formatted abstract
A genome-wide association study using the Illumina 50K BeadChip included 38,745 SNP on 29 BTA analyzed on 751 animals, including 33 purebreds and 718 crossbred cattle. Genotypes and 6 production traits: birth weight (BWT), weaning weight (WWT), ADG, DMI, midtest metabolic BW (MMWT), and residual feed intake (RFI), were used to estimate effects of individual SNP on the traits. At the genome-wide level false discovery rate (FDR < 10%), 41 and 5 SNP were found significantly associated with BWT and WWT, respectively. Thirty-three of them were located on BTA6. At a less stringent significance level (P < 0.001), 277 and 27 SNP were in association with single traits and multiple traits, respectively. Seventy-three SNP on BTA6 and were mostly associated with BW-related traits, and heavily located around 30 to 50Mb. Markers that significantly affected multiple traits appeared to impact them in same direction. In terms of the size of SNP effect, the significant SNP (P < 0.001) explained between 0.26 and 8.06% of the phenotypic variation in the traits. Pairs of traits with low genetic correlation, such as ADG vs. RFI or DMI vs. BWT, appeared to be controlled by 2 groups of SNP; 1 of them affected the traits in same direction, the other worked in opposite direction. This study provides useful information to further assist the identification of chromosome regions and subsequently genes affecting growth and feed efficiency traits in beef cattle.
Keyword Association
Beef cattle
Feed efficiency
Growth
Single nucleotide polymorphism
Japanese black cattle
Dairy-cattle
Bovine chromosome-6
Affecting carcass
Bos-taurus
Loci
QTL
Identification
Population
Components
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2014 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
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