Kizilkaya Kadir, Tait Richard G, Garrick Dorian J, Fernando Rohan L, Reecy James M
Department of Animal Science, Iowa State University, Ames, IA 50011 USA.
BMC Proc. 2011 Jun 3;5 Suppl 4(Suppl 4):S22. doi: 10.1186/1753-6561-5-S4-S22.
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.
传染性牛角膜结膜炎(IBK),也称为红眼病,其特征是角膜受损,是肉牛中一种具有经济重要性、低遗传性的分类疾病性状。在858头安格斯牛断奶时收集了眼部损伤评分。每只动物的单核苷酸多态性(SNP)基因型来自牛SNP50 Infinium芯片。使用贝叶斯C方法确定所有SNP与IBK表型的同时关联,该方法将SNP效应视为随机效应,对于假定对IBK评分无影响的一部分SNP(π=0.999)具有相等的方差。贝叶斯C阈值模型用于通过将IBK分为两个、三个或九个有序类别来估计SNP效应。在全基因组局部区域估计的遗传方差大小表明,信息最丰富区域内的SNP占IBK遗传方差的大部分,并指出与IBK存在一定程度的关联。这些区域有许多候选基因,其中可能包括与牛细菌性疾病相关的一个基因或一组基因。