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Successful amplification of degraded DNA for use with high-throughput SNP genotyping platforms.

机译:成功扩增降解的DNA,以用于高通量SNP基因分型平台。

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Highly accurate and high-throughput SNP genotyping platforms are increasingly popular but the performance of suboptimal DNA samples remains unclear. The aim of our study was to determine the best platform, amplification technique, and loading concentration to maximize genotype accuracy and call rate using degraded samples. We amplified high-molecular weight genomic DNA samples recently extracted from whole blood and degraded DNA samples extracted from 50-year-old patient sera. Two whole-genome amplification (WGA) methodologies were used: an isothermal multiple displacement amplification method (MDA) and a fragmentation-PCR-based method (GenomePlex [GPLEX]; Sigma-Aldrich, St. Louis, MO). Duplicate runs were performed on genome-wide dense SNP arrays (Nsp-Mendel; Affymetrix) and custom SNP platforms based on molecular inversion probes (Targeted Genotyping [TG]; Affymetrix) and BeadArray technology (Golden Gate [GG]; Illumina). Miscalls and no-calls on Mendel arrays were correlated with each other, with confidence scores from the Bayesian calling algorithm, and with average probe intensity. Degraded DNA amplified with MDA gave low call rates and concordance across all platforms at standard loading concentrations. The call rate with MDA on GG was improved when a 5 x concentration of amplified DNA was used. The GPLEX amplification gave high call rate and concordance for degraded DNA at standard and higher loading concentrations on both TG and GG platforms. Based on these analyses, after standard filtering for SNP and sample performance, we were able to achieve a mean call rate of 99.7% and concordance 99.7% using degraded samples amplified by GPLEX on GG technology at 2 x loading concentration. These findings may be useful for investigators planning case-control association studies with patient samples of suboptimal quality.
机译:高精度和高通量的SNP基因分型平台日益普及,但次优DNA样品的性能仍不清楚。我们研究的目的是确定最佳的平台,扩增技术和负载浓度,以使用降解后的样品最大化基因型准确性和检出率。我们扩增了最近从全血中提取的高分子量基因组DNA样本和从50岁的患者血清中提取的降解的DNA样本。使用了两种全基因组扩增(WGA)方法:等温多位移扩增方法(MDA)和基于片段化PCR的方法(GenomePlex [GPLEX]; Sigma-Aldrich,圣路易斯,密苏里州)。在全基因组密集SNP阵列(Nsp-Mendel; Affymetrix)和基于分子倒置探针(Targeted Genotyping [TG]; Affymetrix)和BeadArray技术(Golden Gate [GG]; Illumina)的定制SNP平台上重复运行。 Mendel阵列上的错误呼叫和未呼叫与彼此相关,与来自贝叶斯调用算法的置信度得分以及平均探测强度相关。用MDA扩增的降解DNA在标准负载浓度下在所有平台上的调用率和一致性较低。当使用5倍浓度的扩增DNA时,使用MDA在GG上的调用率得到提高。 GPLEX扩增在TG和GG平台上以标准和较高的负载浓度提供了较高的回收率和降解DNA的一致性。基于这些分析,在对SNP和样品性能进行标准过滤之后,使用GPLEX在GG技术上以2倍的负载浓度扩增的降解样品,我们能够实现99.7%的平均检出率和99.7%的一致性。这些发现可能对研究人员计划以次优质量的患者样本进行病例对照研究的研究者有用。

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