Department of Animal Sciences, University of Wisconsin, Madison, WI 53706, USA.
Anim Genet. 2010 Aug;41(4):406-16. doi: 10.1111/j.1365-2052.2010.02030.x. Epub 2010 Mar 11.
A previous genome-wide search with a moderate density 10K marker set identified many marker associations with twinning rate, either through single-marker analysis or combined linkage-linkage disequilibrium (LLD; haplotype) analysis. The objective of the current study was to validate putative marker associations using an independent set of phenotypic data. Holstein bulls (n = 921) from 100 paternal half-sib families were genotyped. Twinning rate predicted transmitting abilities were calculated using calving records from 1994 to 1998 (Data I) and 1999 to 2006 (Data II), and the underlying liability scores from threshold model analysis were used as the trait in marker association analyses. The previous analysis used 201 bulls with daughter records in Data I. In the current analysis, this was increased to 434, providing a revised estimate of effect and significance. Bulls with daughter records in Data II totaled 851, and analysis of this data provided the validation of results from analysis of Data I. Single nucleotide polymorphisms (SNPs) were selected to validate previously significant single-marker associations and LLD results. Bulls were genotyped for a total of 306 markers. Nine of 13 LLD regions located on chromosomes 1, 2, 3, 6, 9, 22, 23(2) and 26 were validated, showing significant results for both Data I and II. Association analysis revealed 55 of 174 markers validated, equating to a single-marker validation rate of 31%. Stepwise backward elimination and cross-validation analyses identified 18 SNPs for use in a final reduced marker panel explaining 34% of the genetic variation, and to allow prediction of genetic merit for twinning rate.
先前的全基因组搜索使用中等密度的 10K 标记集,通过单标记分析或联合连锁-连锁不平衡(LD;单倍型)分析,确定了许多与双胞胎率相关的标记关联。本研究的目的是使用独立的表型数据来验证假定的标记关联。100 个父系半同胞家系的荷斯坦公牛(n=921)被基因分型。使用 1994 年至 1998 年(数据 I)和 1999 年至 2006 年(数据 II)的产犊记录计算双胞胎率预测的传递能力,并且使用阈模型分析的潜在责任得分作为标记关联分析中的性状。先前的分析使用了 201 头具有数据 I 中女儿记录的公牛。在当前的分析中,这增加到 434 头,提供了对效应和显著性的修订估计。在数据 II 中有女儿记录的公牛总计 851 头,对该数据的分析提供了对数据 I 分析结果的验证。选择单核苷酸多态性(SNP)来验证先前显著的单标记关联和 LLD 结果。公牛总共被基因分型了 306 个标记。位于染色体 1、2、3、6、9、22、23(2)和 26 上的 13 个 LLD 区域中的 9 个得到了验证,对于数据 I 和 II 都显示出了显著的结果。关联分析显示,174 个验证的标记中有 55 个,相当于单标记验证率为 31%。逐步向后消除和交叉验证分析确定了 18 个 SNP 用于最终的减少标记面板,该面板解释了 34%的遗传变异,并允许预测双胞胎率的遗传优势。