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Studies on short tandem repeat genotyping and its expert system based on ultraviolet spectroscopy-principal discriminant variate

机译:基于紫外光谱-主要判别变量的短串联重复基因分型及其专家系统的研究

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The paper has presented a method which could be used to detect short tandem repeat (STR) rapidly, simply and low-costly based on ultraviolet spectroscopy combined with principal discriminant variate (PDV) of chemical pattern recognition. Genotypes 10-11, 11-11 and 10-12 of STR locus D16S539 which was commonly used in forensic medicine were used to establish two-classified PDV genotyping models. The conditions of polymerase chain reaction (PCR) and ultraviolet spectral detection were optimized. Based on the optimal PCR conditions, each genotype was amplified twice in parallel. For the PDV model of 10-11 and 11-11, the prediction samples were all distributed in the scope of calibration samples, the between-class distances were big enough and the prediction accuracy was up to 100percent, which indicated that the established PDV model could be used to discriminate genotypes with only one core repeat unit difference. Then the PDV model for genotypes 11-11 and 10-12 whose difference was even smaller (the total numbers of the two genotypes were both 22) was established. The model displayed the same classified characteristics as the above-mentioned one. Therefore, we assumed that the ultraviolet spectrum (UVS)-PDV method could be used to discriminate the genotypes with various degrees of differences. Subsequently, the expert system for six genotypes of the D16S539 locus was constructed based on their difference in the total number of core repeat unit. The 5 two-classified PDV models in the expert system all displayed satisfactory robustness and the discrimination ratios of the prediction samples were all 100percent. The result indicated that the expert system based on the UVS-PDV method could be used to discriminate multi-genotypes of STR locus. Based on UVS, the paper achieved the detection of STR genotypes rapidly, simply and low-costly.
机译:本文提出了一种可用于基于紫外光谱结合化学模式识别的主要判别变量(PDV)的快速,简单和低成本检测短串联重复序列(STR)的方法。法医常用的STR基因座D16S539的基因型10-11、11-11和10-12用于建立两类PDV基因分型模型。优化了聚合酶链反应(PCR)和紫外光谱检测的条件。根据最佳PCR条件,每种基因型平行扩增两次。对于10-11和11-11的PDV模型,预测样本均分布在校准样本的范围内,类间距离足够大,预测精度高达100%,这表明已建立的PDV模型可以用来区分只有一个核心重复单元差异的基因型。然后,建立了11-11和10-12基因型的PDV模型,它们的差异甚至更小(两个基因型的总数均为22)。该模型显示了与上述模型相同的分类特征。因此,我们假设可以使用紫外光谱(UVS)-PDV方法区分具有不同程度差异的基因型。随后,根据核心重复单元总数的差异,构建了六个基因型的D16S539基因座专家系统。专家系统中的5个两级PDV模型均显示出令人满意的鲁棒性,并且预测样本的辨别率均为100%。结果表明,基于UVS-PDV方法的专家系统可用于鉴别STR基因座的多基因型。基于UVS,该论文实现了快速,简单和低成本的STR基因型检测。

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