Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany.
BMC Genomics. 2012 Sep 20;13:500. doi: 10.1186/1471-2164-13-500.
Many hypothesis-driven genetic studies require the ability to comprehensively and efficiently target specific regions of the genome to detect sequence variations. Often, sample availability is limited requiring the use of whole genome amplification (WGA). We evaluated a high-throughput microdroplet-based PCR approach in combination with next generation sequencing (NGS) to target 384 discrete exons from 373 genes involved in cancer. In our evaluation, we compared the performance of six non-amplified gDNA samples from two HapMap family trios. Three of these samples were also preamplified by WGA and evaluated. We tested sample pooling or multiplexing strategies at different stages of the tested targeted NGS (T-NGS) workflow.
The results demonstrated comparable sequence performance between non-amplified and preamplified samples and between different indexing strategies [sequence specificity of 66.0% ± 3.4%, uniformity (coverage at 0.2× of the mean) of 85.6% ± 0.6%]. The average genotype concordance maintained across all the samples was 99.5% ± 0.4%, regardless of sample type or pooling strategy. We did not detect any errors in the Mendelian patterns of inheritance of genotypes between the parents and offspring within each trio. We also demonstrated the ability to detect minor allele frequencies within the pooled samples that conform to predicted models.
Our described PCR-based sample multiplex approach and the ability to use WGA material for NGS may enable researchers to perform deep resequencing studies and explore variants at very low frequencies and cost.
许多基于假设的遗传研究需要能够全面、高效地针对基因组的特定区域,以检测序列变异。通常,样本可用性有限,需要使用全基因组扩增(WGA)。我们评估了一种基于高通量微滴式 PCR 的方法与下一代测序(NGS)相结合,以针对涉及癌症的 373 个基因中的 384 个离散外显子。在我们的评估中,我们比较了来自两个 HapMap 家族三人组的六个未经扩增的 gDNA 样本的性能。其中三个样本还通过 WGA 进行了预扩增并进行了评估。我们在测试的靶向 NGS(T-NGS)工作流程的不同阶段测试了样本混合或多重化策略。
结果表明,未经扩增和预扩增样本之间以及不同索引策略之间的序列性能相当[特异性为 66.0%±3.4%,均匀性(0.2×平均值的覆盖率)为 85.6%±0.6%]。无论样本类型或混合策略如何,所有样本的平均基因型一致性均保持在 99.5%±0.4%。我们没有在每个三人组的父母和子女之间的基因型遗传模式中检测到任何错误。我们还证明了在混合样本中检测到符合预测模型的次要等位基因频率的能力。
我们描述的基于 PCR 的样本多重化方法以及使用 WGA 材料进行 NGS 的能力可能使研究人员能够进行深度重测序研究,并以非常低的成本和频率探索变体。