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

Dataset

Description

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.
Dati resi disponibili2018
Editorefigshare

Cita questo