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A meta-analysis for bovine tuberculosis resistance in dairy cattle

Thursday, August 21, 2014: 11:00 AM
Bayshore Grand Ballroom A (The Westin Bayshore)
Smaragda Tsairidou , The Roslin Institute and R(D)SVS, University of Edinburgh, Midlothian, United Kingdom
John Woolliams , The Roslin Institute and R(D)SVS, University of Edinburgh, Midlothian, United Kingdom
Adrian Allen , Agri-Food and Biosciences Institute, Belfast, United Kingdom
Robin Skuce , Agri-Food and Biosciences Institute, Belfast, United Kingdom
Stewart H. McBride , Agri-Food and Biosciences Institute, Belfast, United Kingdom
Ricardo Pong-Wong , The Roslin Institute and R(D)SVS, University of Edinburgh, Midlothian, United Kingdom
Oswald Matika , The Roslin Institute and R(D)SVS, University of Edinburgh, Midlothian, United Kingdom
Emma Finlay , Department of Genetics, Trinity College Dublin, Dublin, Ireland
Donagh P Berry , Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland
Dan Bradley , Department of Genetics, Trinity College Dublin, Dublin, Ireland
Stanley McDowell , Agri-Food and Biosciences Institute, Belfast, United Kingdom
Elizabeth Glass , The Roslin Institute and R(D)SVS, University of Edinburgh, Midlothian, United Kingdom
Stephen C. Bishop , The Roslin Institute and R(D)SVS, University of Edinburgh, Midlothian, United Kingdom
Recorded Presentation (flv)
Abstract Text: Bovine tuberculosis (bTB) has been among the most persistent diseases in cattle.  Genetic selection of resistant individuals may be a complementary approach for disease control. The aim of this study was to conduct a meta-analysis on two dairy cattle populations with bTB phenotypes and SNP chip genotypes, identifying genomic regions underlying bTB resistance and testing genomic predictions by means of cross-validation. We identified a region on chromosome 6 likely to be associated with bTB resistance and confirmed that this chromosome as a whole contributes a major proportion of the observed variation in dataset. Genomic prediction for bTB was shown to be feasible even when different populations are combined, with the chromosome heritability results suggesting that the accuracy arises from the SNPs capturing linkage disequilibrium between markers and QTL as well as additive relationships between animals. Further studies on larger populations will be needed to confirm findings.

Keywords: Genomic Prediction

Resistance

See more of: Whole Genome Scans for Disease Resistance
See more of: Genetics of Trait Complexes: Disease resistance
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