首页> 外文期刊>BMC Genomics >Concordance rate between copy number variants detected using either high- or medium-density single nucleotide polymorphism genotype panels and the potential of imputing copy number variants from flanking high density single nucleotide polymorphism haplotypes in cattle
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Concordance rate between copy number variants detected using either high- or medium-density single nucleotide polymorphism genotype panels and the potential of imputing copy number variants from flanking high density single nucleotide polymorphism haplotypes in cattle

机译:使用高或中密度单核苷酸多态性基因型面板检测到拷贝数变体之间的一致性速率以及从牛中侧翼的高密度单核苷酸多态性单倍型施用拷贝数变体的潜力

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BACKGROUND:The trading of individual animal genotype information often involves only the exchange of the called genotypes and not necessarily the additional information required to effectively call structural variants. The main aim here was to determine if it is possible to impute copy number variants (CNVs) using the flanking single nucleotide polymorphism (SNP) haplotype structure in cattle. While this objective was achieved using high-density genotype panels (i.e., 713,162 SNPs), a secondary objective investigated the concordance of CNVs called with this high-density genotype panel compared to CNVs called from a medium-density panel (i.e., 45,677 SNPs in the present study). This is the first study to compare CNVs called from high-density and medium-density SNP genotypes from the same animals. High (and medium-density) genotypes were available on 991 Holstein-Friesian, 1015 Charolais, and 1394 Limousin bulls. The concordance between CNVs called from the medium-density and high-density genotypes were calculated separately for each animal. A subset of CNVs which were called from the high-density genotypes was selected for imputation. Imputation was carried out separately for each breed using a set of high-density SNPs flanking the midpoint of each CNV. A CNV was deemed to be imputed correctly when the called copy number matched the imputed copy number.RESULTS:For 97.0% of CNVs called from the high-density genotypes, the corresponding genomic position on the medium-density of the animal did not contain a called CNV. The average accuracy of imputation for CNV deletions was 0.281, with a standard deviation of 0.286. The average accuracy of imputation of the CNV normal state, i.e. the absence of a CNV, was 0.982 with a standard deviation of 0.022. Two CNV duplications were imputed in the Charolais, a single CNV duplication in the Limousins, and a single CNV duplication in the Holstein-Friesians; in all cases the CNV duplications were incorrectly imputed.CONCLUSION:The vast majority of CNVs called from the high-density genotypes were not detected using the medium-density genotypes. Furthermore, CNVs cannot be accurately predicted from flanking SNP haplotypes, at least based on the imputation algorithms routinely used in cattle, and using the SNPs currently available on the high-density genotype panel.
机译:背景:个体动物基因型信息的交易通常涉及仅交换所谓的基因型,而不一定是有效呼叫结构变体所需的附加信息。这里的主要目的是确定是否可以使用牛中使用侧翼单核苷酸多态性(SNP)单倍型结构来施加拷贝数变体(CNV)。虽然使用高密度基因型面板(即713,162 SNP)实现了该目的,但与从中密度面板(即45,677 SNPS中的CNV)相比,研究了用这种高密度基因型面板调用的CNV的一致性。本研究)。这是第一种将CNV从相同动物的高密度和中密度SNP基因型中调查的研究进行比较。高(中密度)基因型可在991霍尔斯坦 - 弗里斯,1015次夏洛拉和1394家豪华轿车公牛上获得。从中密度和高密度基因型中调用的CNV之间的一致性分别用于每只动物。选择从高密度基因型调用的CNV的子集被归档。使用每组CNV的中点的一组高密度SNP分别为每种品种进行归档。当被称为拷贝数匹配算拷贝数时,将CNV被认为是正确的。结果:对于从高密度基因型中调用的97.0%的CNV,动物的中密度的相应基因组位置不含a被称为CNV。 CNV缺失的估算的平均准确性为0.281,标准偏差为0.286。 CNV正常状态的归纳的平均准确性,即没有CNV,为0.982,标准偏差为0.022。在夏洛斯,在轿车中的单一CNV复制中累积了两种CNV重复,以及荷斯坦 - 弗里斯 - 弗里斯人的单一CNV复制;在所有情况下,CNV重复性被错误地抵消。结论:使用中密度基因型未检测到从高密度基因型中调用的绝大多数CNV。此外,不能基于在牛中常规使用的额定算法,并且使用当前在高密度基因型面板上可用的SNP来精确地预测CNV。

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