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Linkage disequilibrium and historical effective population size in the Thoroughbred horse

机译:纯种马的连锁不平衡和历史有效种群数量

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P>Many genomic methodologies rely on the presence and extent of linkage disequilibrium (LD) between markers and genetic variants underlying traits of interest, but the extent of LD in the horse has yet to be comprehensively characterized. In this study, we evaluate the extent and decay of LD in a sample of 817 Thoroughbreds. Horses were genotyped for over 50 000 single nucleotide polymorphism (SNP) markers across the genome, with 34 848 autosomal SNPs used in the final analysis. Linkage disequilibrium, as measured by the squared correlation coefficient (r2), was found to be relatively high between closely linked markers (> 0.6 at 5 kb) and to extend over long distances, with average r2 maintained above non-syntenic levels for single nucleotide polymorphisms (SNPs) up to 20 Mb apart. Using formulae which relate expected LD to effective population size (N-e), and assuming a constant actual population size, N-e was estimated to be 100 in our population. Values of historical N-e, calculated assuming linear population growth, suggested a decrease in N-e since the distant past, reaching a minimum twenty generations ago, followed by a subsequent increase until the present time. The qualitative trends observed in N-e can be rationalized by current knowledge of the history of the Thoroughbred breed, and inbreeding statistics obtained from published pedigree analyses are in agreement with observed values of N-e. Given the high LD observed and the small estimated N-e, genomic methodologies such as genomic selection could feasibly be applied to this population using the existing SNP marker set.
机译:P>许多基因组方法学都依赖标记和潜在感兴趣特征的遗传变异之间连锁不平衡(LD)的存在和程度,但是马中LD的程度尚未得到全面表征。在这项研究中,我们评估了817种纯种样品中LD的程度和衰变。对马进行基因型分型,确定其在整个基因组中的超过50000个单核苷酸多态性(SNP)标记,最终分析中使用了34848个常染色体SNP。通过平方相关系数(r2)测得的连锁不平衡在紧密连锁的标记之间(在5 kb时> 0.6)相对较高,并且延伸很长一段距离,单核苷酸的平均r2保持在非同义水平以上相距20 Mb的多态性(SNP)。使用将预期LD与有效人口规模(N-e)关联的公式,并假设恒定的实际人口规模,我们的人口中N-e估计为100。假设线性人口增长而计算的历史N-e值表明,自遥远的过去以来N-e有所下降,至少在20代前达到了N-e,随后一直上升到现在。 N-e中观察到的定性趋势可以通过当前对纯血品种历史的了解来合理化,并且从已发表的谱系分析中获得的近交统计数据与N-e的观察值相符。鉴于观察到的LD高,估计的N-e小,可以使用现有SNP标记集将基因组方法(如基因组选择)可行地应用于该人群。

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