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This article is part of the supplement: Proceedings of the International Symposium on Animal Genomics for Animal Health (AGAH 2010)

Open Access Proceedings

Whole genome analysis of infectious bovine keratoconjunctivitis in Angus cattle using Bayesian threshold models

Kadir Kizilkaya12, Richard G Tait1, Dorian J Garrick13, Rohan L Fernando1 and James M Reecy1*

Author Affiliations

1 Department of Animal Science, Iowa State University, Ames, IA 50011 USA

2 Department of Animal Science, Adnan Menderes University, Aydin 09100 Turkey

3 Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand

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BMC Proceedings 2011, 5(Suppl 4):S22  doi:10.1186/1753-6561-5-S4-S22

Published: 3 June 2011

Abstract

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.