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Meta-analysis of genome wide association studies for pork quality traits

Monday, August 18, 2014: 1:45 PM
Bayshore Grand Ballroom D (The Westin Bayshore)
Yeni Liliana Bernal Rubio , Michigan State University, East Lansing, MI
José Luis Gualdrón Duarte , Department of Animal Science, University of Buenos Aires, Buenos Aires, Argentina
Ronald O. Bates , Michigan State University, East Lansing, MI
Catherine W. Ernst , Michigan State University, East Lansing, MI
Dan Nonneman , USDA/ARS, Clay Center, NE
Gary A. Rohrer , USDA/ARS, Clay Center, NE
D. Andy King , USDA/ARS, Clay Center, NE
Steven D. Shackelford , USDA/ARS, Clay Center, NE
Tommy L. Wheeler , USDA/ARS, Clay Center, NE
Rodolfo J.C. Cantet , Department of Animal Science, University of Buenos Aires, Buenos Aires, Argentina
Juan P. Steibel , Michigan State University, East Lansing, MI
Recorded Presentation (flv)
Abstract Text: Genome-wide association studies (GWA) were performed for eight meat quality traits and also, a meta-analysis (MA) of GWA was implemented combining independent results from pig populations. Data from three pig datasets (USMARC, Commercial and MSUPRP) were used. MA was implemented by combining z-scores derived for each SNP in every population, and then, weighting them using the inverse of estimated variance of SNP effects. In population specific GWA, several regions were identified as significantly associated with most of the traits. MA-GWA permitted detection of significant peaks that were not reported within population-GWA. Thus, MA-GWA methodology is an attractive alternative to integrate results for economically relevant traits from multiple GWA, when several populations are available.

Keywords: Genome-wide association, Meta-analysis, Pork quality traits

See more of: Statistical and Genomic Tools for Mapping QTL and Genes (Swine, Poultry, Sheep and Mice)
See more of: Methods and Tools: Statistical and genomic tools for mapping QTL and genes
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