Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples

Erica K. Barnell, Peter Ronning, Katie M. Campbell, Kilannin Krysiak, Benjamin J. Ainscough, Lana M. Sheta, Shahil P. Pema, Alina D. Schmidt, Megan Richters, Kelsy C. Cotto, Arpad M. Danos, Cody Ramirez, Zachary L. Skidmore, Nicholas C. Spies, Jasreet Hundal, Malik S. Sediqzad, Jason Kunisaki, Felicia Gomez, Lee Trani, Matthew MatlockAlex H. Wagner, S. Joshua Swamidass, Malachi Griffith, Obi L. Griffith

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Purpose: Following automated variant calling, manual review of aligned read sequences is required to identify a high-quality list of somatic variants. Despite widespread use in analyzing sequence data, methods to standardize manual review have not been described, resulting in high inter- and intralab variability. Methods: This manual review standard operating procedure (SOP) consists of methods to annotate variants with four different calls and 19 tags. The calls indicate a reviewer’s confidence in each variant and the tags indicate commonly observed sequencing patterns and artifacts that inform the manual review call. Four individuals were asked to classify variants prior to, and after, reading the SOP and accuracy was assessed by comparing reviewer calls with orthogonal validation sequencing. Results: After reading the SOP, average accuracy in somatic variant identification increased by 16.7% (p value = 0.0298) and average interreviewer agreement increased by 12.7% (p value < 0.001). Manual review conducted after reading the SOP did not significantly increase reviewer time. Conclusion: This SOP supports and enhances manual somatic variant detection by improving reviewer accuracy while reducing the interreviewer variability for variant calling and annotation.

Original languageEnglish
Pages (from-to)972-981
Number of pages10
JournalGenetics in Medicine
Volume21
Issue number4
DOIs
StatePublished - Apr 1 2019

Keywords

  • manual review
  • somatic variant refinement

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