A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency

Genome Biol. 2021 Apr 16;22(1):111. doi: 10.1186/s13059-021-02316-z.

Abstract

Background: Oncopanel genomic testing, which identifies important somatic variants, is increasingly common in medical practice and especially in clinical trials. Currently, there is a paucity of reliable genomic reference samples having a suitably large number of pre-identified variants for properly assessing oncopanel assay analytical quality and performance. The FDA-led Sequencing and Quality Control Phase 2 (SEQC2) consortium analyze ten diverse cancer cell lines individually and their pool, termed Sample A, to develop a reference sample with suitably large numbers of coding positions with known (variant) positives and negatives for properly evaluating oncopanel analytical performance.

Results: In reference Sample A, we identify more than 40,000 variants down to 1% allele frequency with more than 25,000 variants having less than 20% allele frequency with 1653 variants in COSMIC-related genes. This is 5-100× more than existing commercially available samples. We also identify an unprecedented number of negative positions in coding regions, allowing statistical rigor in assessing limit-of-detection, sensitivity, and precision. Over 300 loci are randomly selected and independently verified via droplet digital PCR with 100% concordance. Agilent normal reference Sample B can be admixed with Sample A to create new samples with a similar number of known variants at much lower allele frequency than what exists in Sample A natively, including known variants having allele frequency of 0.02%, a range suitable for assessing liquid biopsy panels.

Conclusion: These new reference samples and their admixtures provide superior capability for performing oncopanel quality control, analytical accuracy, and validation for small to large oncopanels and liquid biopsy assays.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles*
  • Biomarkers, Tumor*
  • Cell Line, Tumor
  • DNA Copy Number Variations
  • Gene Frequency*
  • Genetic Heterogeneity
  • Genetic Testing / methods*
  • Genetic Testing / standards
  • Genetic Variation*
  • Genomics / methods*
  • Genomics / standards
  • Humans
  • Neoplasms / diagnosis
  • Neoplasms / genetics*
  • Workflow

Substances

  • Biomarkers, Tumor