Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort

Hongyan Li, Holly LaDuca, Tina Pesaran, Elizabeth C. Chao, Jill S. Dolinsky, Michael Parsons, Amanda B. Spurdle, Eric C. Polley, Hermela Shimelis, Steven N. Hart, Chunling Hu, Fergus J. Couch, David E. Goldgar

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Purpose: Genetic testing of individuals often results in identification of genomic variants of unknown significance (VUS). Multiple lines of evidence are used to help determine the clinical significance of these variants. Methods: We analyzed ~138,000 individuals tested by multigene panel testing (MGPT). We used logistic regression to predict carrier status based on personal and family history of cancer. This was applied to 4644 tested individuals carrying 2383 BRCA1/2 variants to calculate likelihood ratios informing pathogenicity for each. Heterogeneity tests were performed for specific classes of variants defined by in silico predictions. Results: Twenty-two variants labeled as VUS had odds of >10:1 in favor of pathogenicity. The heterogeneity analysis found that among variants in functional domains that were predicted to be benign by in silico tools, a significantly higher proportion of variants were estimated to be pathogenic than previously indicated; that missense variants outside of functional domains should be considered benign; and that variants predicted to create de novo donor sites were also largely benign. Conclusion: The evidence presented here supports the use of personal and family history from MGPT in the classification of VUS and will be integrated into ongoing efforts to provide large-scale multifactorial classification.

Original languageEnglish (US)
Pages (from-to)701-708
Number of pages8
JournalGenetics in Medicine
Volume22
Issue number4
DOIs
StatePublished - Apr 1 2020

Keywords

  • BRCA1
  • BRCA2
  • VUS
  • clinical history
  • likelihood ratio

ASJC Scopus subject areas

  • Genetics(clinical)

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