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Whole Genome Analysis of Infectious Bovine Keratoconjunctivitis in Angus Cattle Using Bayesian Threshold Models
BMC Proceedings
  • Kadir Kizilkaya, Iowa State University
  • Richard Gregory Tait, Jr., Iowa State University
  • Dorian J. Garrick, Iowa State University
  • Rohan L Fernando, Iowa State University
  • James M Reecy, Iowa State University
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Infectious bovine keratoconjunctivitis (IBK), also known as pinkeye, is characterized by damage to the cornea and is an economically important, lowly heritable, categorical disease trait in beef cattle. Scores of eye damage were collected at weaning on 858 Angus cattle. SNP genotypes for each animal were obtained from BovineSNP50 Infinium-beadchips. Simultaneous associations of all SNP with IBK phenotype were determined using Bayes-C that treats SNP effects as random with equal variance for an assumed fraction (π=0.999) of SNP having no effect on IBK scores. Bayes-C threshold models were used to estimate SNP effects by classifying IBK into two, three or nine ordered categories. Magnitudes of genetic variances estimated in localized regions across the genome indicated that SNP within the most informative regions accounted for much of the genetic variance of IBK and pointed out some degree of association to IBK. There are many candidate genes in these regions which could include a gene or group of genes associated with bacterial disease in cattle.

This article is from BMC Proceedings 5 (2011): S22, doi:10.1186/1753-6561-5-S4-S22. Posted with permission.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Kadir Kizilkaya, et al
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Kadir Kizilkaya, Richard Gregory Tait, Dorian J. Garrick, Rohan L Fernando, et al.. "Whole Genome Analysis of Infectious Bovine Keratoconjunctivitis in Angus Cattle Using Bayesian Threshold Models" BMC Proceedings Vol. 5 Iss. Suppl 4 (2011) p. 1 - 3
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