Use of data mining techniques to investigate disease risk classification as a proxy for compromised biosecurity of cattle herds in Wales |
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Authors: | Ángel Ortiz-Pelaez Dirk U Pfeiffer |
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Institution: | 1. Epidemiology Division, Department of Veterinary Clinical Sciences, The Royal Veterinary College, University of London, Hawkshead Lane, North Mymms, Hatfield, Herts, AL9 7TA, UK
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Abstract: | Background Boar taint is the unpleasant odour and flavour of the meat of uncastrated male pigs that is primarily caused by high levels
of androstenone and skatole in adipose tissue. Androstenone is a steroid and its levels are mainly genetically determined.
Studies on androstenone metabolism have, however, focused on a limited number of genes. Identification of additional genes
influencing levels of androstenone may facilitate implementation of marker assisted breeding practices. In this study, microarrays
were used to identify differentially expressed genes and pathways related to androstenone metabolism in the liver from boars
with extreme levels of androstenone in adipose tissue. |
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Keywords: | |
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