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               <mods:identifier type="citation">Genome Biol. 2021; 22(1):109</mods:identifier>
               <mods:identifier type="issn">1474-760X</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12105/13424</mods:identifier>
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               <mods:identifier type="doi">10.1186/s13059-021-02315-0</mods:identifier>
               <mods:identifier type="journal">Genome biology</mods:identifier>
               <mods:abstract>Targeted sequencing using oncopanels requires comprehensive assessments of accuracy and detection sensitivity to ensure analytical validity. By employing reference materials characterized by the U.S. Food and Drug Administration-led SEquence Quality Control project phase2 (SEQC2) effort, we perform a cross-platform multi-lab evaluation of eight Pan-Cancer panels to assess best practices for oncopanel sequencing.&#xd;
All panels demonstrate high sensitivity across targeted high-confidence coding regions and variant types for the variants previously verified to have variant allele frequency (VAF) in the 5-20% range. Sensitivity is reduced by utilizing VAF thresholds due to inherent variability in VAF measurements. Enforcing a VAF threshold for reporting has a positive impact on reducing false positive calls. Importantly, the false positive rate is found to be significantly higher outside the high-confidence coding regions, resulting in lower reproducibility. Thus, region restriction and VAF thresholds lead to low relative technical variability in estimating promising biomarkers and tumor mutational burden.&#xd;
This comprehensive study provides actionable guidelines for oncopanel sequencing and clear evidence that supports a simplified approach to assess the analytical performance of oncopanels. It will facilitate the rapid implementation, validation, and quality control of oncopanels in clinical use.</mods:abstract>
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