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. 2016 Apr 19:6:24650.
doi: 10.1038/srep24650.

Orthogonal NGS for High Throughput Clinical Diagnostics

Affiliations

Orthogonal NGS for High Throughput Clinical Diagnostics

Niru Chennagiri et al. Sci Rep. .

Abstract

Next generation sequencing is a transformative technology for discovering and diagnosing genetic disorders. However, high-throughput sequencing remains error-prone, necessitating variant confirmation in order to meet the exacting demands of clinical diagnostic sequencing. To address this, we devised an orthogonal, dual platform approach employing complementary target capture and sequencing chemistries to improve speed and accuracy of variant calls at a genomic scale. We combined DNA selection by bait-based hybridization followed by Illumina NextSeq reversible terminator sequencing with DNA selection by amplification followed by Ion Proton semiconductor sequencing. This approach yields genomic scale orthogonal confirmation of ~95% of exome variants. Overall variant sensitivity improves as each method covers thousands of coding exons missed by the other. We conclude that orthogonal NGS offers improvements in variant calling sensitivity when two platforms are used, better specificity for variants identified on both platforms, and greatly reduces the time and expense of Sanger follow-up, thus enabling physicians to act on genomic results more quickly.

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Conflict of interest statement

All authors are current or former employees of Claritas Genomics. Claritas Genomics was founded as a joint venture that included Life Technologies/ThermoFisher as a partner. Life Technologies/ThermoFisher maintains a financial interest in Claritas Genomics but they played no role in the design, execution, analysis, or writing of this paper.

Figures

Figure 1
Figure 1. Comparison of per-exon coverage achieved on NextSeq and Proton platforms.
Mean coverage for each exome was normalized to 100×. Coverage for each exon was plotted on a log scale with exons having no reads changed to 1× for plotting. Dashed lines show 20× coverage for each platform.

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