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ARS Home » Plains Area » Clay Center, Nebraska » U.S. Meat Animal Research Center » Genetics, Breeding, and Animal Health Research » Research » Publications at this Location » Publication #254045

Title: Meta-Analysis of High-Density SNP Associations for Beef Cattle Production Traits from Three Countries

Author
item Bennett, Gary
item GODDARD, MICHAEL - NSW DEPARTMENT OF PRIMARY INDUSTRIES
item LU, DUC - UNIVERSITY OF GUELPH
item MILLER, STEPHEN - UNIVERSITY OF GUELPH
item MOORE, STEPHEN - UNIVERSITY OF ALBERTA
item Snelling, Warren
item SUNDUIMIJID, BOLORMAA - NSW DEPARTMENT OF PRIMARY INDUSTRIES
item VANDER VOORT, GORDON - UNIVERSITY OF GUELPH

Submitted to: Proceedings of the Alberta Ingenuity Centre for Livestock Genomics Technology
Publication Type: Other
Publication Acceptance Date: 5/12/2010
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: About 50,000 SNP were evaluated for associations with growth, carcass, and meat quality traits in three populations of cattle in the United States, Canada, and Australia. Regression coefficients for each SNP were independently estimated within each country. Coefficients for similar traits were standardized and pooled accounting for their standard errors. The proportion of SNP associations from the meta-analyses with nominal P-values < 0.01, < 0.001, and < 0.0001 were compared with the proportions averaged from the three countries. For the 14 feed intake, carcass, and meat tenderness traits, average proportions were 0.0134, 0.00176, and 0.00029 compared with meta-analysis proportions of 0.0158, 0.00249, and 0.00053. The meta-analysis proportions exceeded the average proportions for every trait and in many cases exceeded the highest individual country proportion. These results demonstrate that combining sets of results can increase power to identify SNP with significant associations.