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    Genome-wide associations for milk production and somatic cell score in Holstein-Friesian cattle in Ireland

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    Author
    Meredith, Brian K
    Kearney, Francis
    Finlay, Emma K.
    Bradley, Daniel G
    Fahey, Alan G.
    Berry, Donagh cc
    Lynn, David J
    Keyword
    genome-wide association studies
    milk production traits
    Holstein-Friesian
    Single SNP regression
    Bayesian method
    Novel Single Nucleotide Polymorphisms
    Date
    2012-03-26
    
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    URI
    http://hdl.handle.net/11019/236
    Citation
    Meredith, B.K., Kearney, F.J., Bradley, D.G., Fahey, A.G., Berry, D.P. and Lynn, D. Genome-wide associations for milk production and somatic cell score in Holstein-Friesian cattle in Ireland. BMC Genetics, 2012,13(1):21
    Abstract
    Background: Contemporary dairy breeding goals have broadened to include, along with milk production traits, a number of non-production-related traits in an effort to improve the overall functionality of the dairy cow. Increased indirect selection for resistance to mastitis, one of the most important production-related diseases in the dairy sector, via selection for reduced somatic cell count has been part of these broadened goals. A number of genome-wide association studies have identified genetic variants associated with milk production traits and mastitis resistance, however the majority of these studies have been based on animals which were predominantly kept in confinement and fed a concentrate-based diet (i.e. high-input production systems). This genome-wide association study aims to detect associations using genotypic and phenotypic data from Irish Holstein-Friesian cattle fed predominantly grazed grass in a pasture-based production system (low-input). Results: Significant associations were detected for milk yield, fat yield, protein yield, fat percentage, protein percentage and somatic cell score using separate single-locus, frequentist and multi-locus, Bayesian approaches. These associations were detected using two separate populations of Holstein-Friesian sires and cows. In total, 1,529 and 37 associations were detected in the sires using a single SNP regression and a Bayesian method, respectively. There were 103 associations in common between the sires and cows across all the traits. As well as detecting associations within known QTL regions, a number of novel associations were detected; the most notable of these was a region of chromosome 13 associated with milk yield in the population of Holstein-Friesian sires. Conclusions: A total of 276 of novel SNPs were detected in the sires using a single SNP regression approach. Although obvious candidate genes may not be initially forthcoming, this study provides a preliminary framework upon which to identify the causal mechanisms underlying the various milk production traits and somatic cell score. Consequently this will deepen our understanding of how these traits are expressed.
    Funder
    Teagasc Walsh Fellowship Programme; Science Foundaton Ireland
    Grant Number
    09/IN.1/B2642
    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.1186/1471-2156-13-21
    Scopus Count
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    Teagasc publications in Biomed Central
    Animal & Bioscience

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