Genome Medicine (Dec 2018)

Prevalence of pathogenic/likely pathogenic variants in the 24 cancer genes of the ACMG Secondary Findings v2.0 list in a large cancer cohort and ethnicity-matched controls

  • Jung Kim,
  • Wen Luo,
  • Mingyi Wang,
  • Talia Wegman-Ostrosky,
  • Megan N. Frone,
  • Jennifer J. Johnston,
  • Michael L. Nickerson,
  • Melissa Rotunno,
  • Shengchao A. Li,
  • Maria I. Achatz,
  • Seth A. Brodie,
  • Michael Dean,
  • Kelvin C. de Andrade,
  • Fernanda P. Fortes,
  • Matthew Gianferante,
  • Payal Khincha,
  • Mary L. McMaster,
  • Lisa J. McReynolds,
  • Alexander Pemov,
  • Maisa Pinheiro,
  • Karina M. Santiago,
  • Blanche P. Alter,
  • Neil E. Caporaso,
  • Shahinaz M. Gadalla,
  • Lynn R. Goldin,
  • Mark H. Greene,
  • Jennifer Loud,
  • Xiaohong R. Yang,
  • Neal D. Freedman,
  • Susan M. Gapstur,
  • Mia M. Gaudet,
  • Donato Calista,
  • Paola Ghiorzo,
  • Maria Concetta Fargnoli,
  • Eduardo Nagore,
  • Ketty Peris,
  • Susana Puig,
  • Maria Teresa Landi,
  • Belynda Hicks,
  • Bin Zhu,
  • Jia Liu,
  • Joshua N. Sampson,
  • Stephen J. Chanock,
  • Lisa J. Mirabello,
  • Lindsay M. Morton,
  • Leslie G. Biesecker,
  • Margaret A. Tucker,
  • Sharon A. Savage,
  • Alisa M. Goldstein,
  • Douglas R. Stewart

DOI
https://doi.org/10.1186/s13073-018-0607-5
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 9

Abstract

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Abstract Background Prior research has established that the prevalence of pathogenic/likely pathogenic (P/LP) variants across all of the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes is approximately 0.8–5%. We investigated the prevalence of P/LP variants in the 24 ACMG SF v2.0 cancer genes in a family-based cancer research cohort (n = 1173) and in cancer-free ethnicity-matched controls (n = 982). Methods We used InterVar to classify variants and subsequently conducted a manual review to further examine variants of unknown significance (VUS). Results In the 24 genes on the ACMG SF v2.0 list associated with a cancer phenotype, we observed 8 P/LP unique variants (8 individuals; 0.8%) in controls and 11 P/LP unique variants (14 individuals; 1.2%) in cases, a non-significant difference. We reviewed 115 VUS. The median estimated per-variant review time required was 30 min; the first variant within a gene took significantly (p = 0.0009) longer to review (median = 60 min) compared with subsequent variants (median = 30 min). The concordance rate was 83.3% for the variants examined by two reviewers. Conclusion The 115 VUS required database and literature review, a time- and labor-intensive process hampered by the difficulty in interpreting conflicting P/LP determinations. By rigorously investigating the 24 ACMG SF v2.0 cancer genes, our work establishes a benchmark P/LP variant prevalence rate in a familial cancer cohort and controls.

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