A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes

Pryce, J. E., Bolormaa, S., Chamberlain, A. J., Bowman, P. J., Savin, K., Goddard, M. E. and Hayes, B. J. (2010) A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes. Journal of Dairy Science, 93 7: 3331-3345. doi:10.3168/jds.2009-2893


Author Pryce, J. E.
Bolormaa, S.
Chamberlain, A. J.
Bowman, P. J.
Savin, K.
Goddard, M. E.
Hayes, B. J.
Title A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes
Journal name Journal of Dairy Science   Check publisher's open access policy
ISSN 0022-0302
1525-3198
Publication date 2010-07
Sub-type Article (original research)
DOI 10.3168/jds.2009-2893
Open Access Status Not yet assessed
Volume 93
Issue 7
Start page 3331
End page 3345
Total pages 15
Place of publication New York, NY, United States
Publisher Elsevier
Language eng
Abstract Genome-wide association studies (GWAS) were used to discover genomic regions explaining variation in dairy production and fertility traits. Associations were detected with either single nucleotide polymorphism (SNP) markers or haplotypes of SNP alleles. An across-breed validation strategy was used to narrow the genomic interval containing causative mutations. There were 39,048 SNP tested in a discovery population of 780 Holstein sires and validated in 386 Holsteins and 364 Jersey sires. Previously identified mutations affecting milk production traits were confirmed. In addition, several novel regions were identified, including a putative quantitative trait loci for fertility on chromosome 18 that was detected only using haplotypes greater than 3 SNP long. It was found that the precision of quantitative trait loci mapping increased with haplotype length as did the number of validated haplotypes discovered, especially across breed. Promising candidate genes have been identified in several of the validated regions.
Keyword Genetic marker
Genome-wide association study
Haplotype
Single nucleotide polymorphism
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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