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Evaluation of next generation sequencing platforms for population targeted sequencing studies

机译:评估针对人群靶向测序研究的下一代测序平台

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ABSTRACT: BACKGROUND: Next generation sequencing (NGS) platforms are currently being utilized for targeted sequencing of candidate genes or genomic intervals to perform sequence-based association studies. To evaluate these platforms for this application, we analyzed human sequence generated by the Roche 454, Illumina GA, and the ABI SOLiD technologies for the same 260 kb in four individuals. RESULTS: Local sequence characteristics contribute to systematic variability in sequence coverage (>100-fold difference in per-base coverage), resulting in patterns for each NGS technology that are highly correlated between samples. A comparison of the base calls to 88 kb of overlapping ABI 3730xL Sanger sequence generated for the same samples showed that the NGS platforms all have high sensitivity, identifying >95% of variant sites. At high coverage, depth base calling errors are systematic, resulting from local sequence contexts; as the coverage is lowered additional 'random sampling' errors in base calling occur. CONCLUSIONS: Our study provides important insights into systematic biases and data variability that need to be considered when utilizing NGS platforms for population targeted sequencing studies.
机译:摘要:背景:下一代测序(NGS)平台目前正用于候选基因或基因组区间的靶向测序,以进行基于序列的关联研究。为了评估这些平台的应用,我们分析了Roche 454,Illumina GA和ABI SOLiD技术针对四个个体中相同260 kb产生的人类序列。结果:局部序列特征导致序列覆盖率的系统变异(每碱基覆盖率差异> 100倍),从而导致每种NGS技术的模式在样本之间高度相关。将碱基检出与为相同样品产生的88 kb重叠ABI 3730xL Sanger序列进行碱基比较,结果表明NGS平台均具有高灵敏度,可识别> 95%的变异位点。在高覆盖范围内,由于本地序列上下文导致的深度碱基调用错误是系统性的;随着覆盖率的降低,基本调用中还会发生其他“随机采样”错误。结论:我们的研究提供了重要的见解,涉及在使用NGS平台进行人群靶向测序研究时需要考虑的系统偏差和数据变异性。

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