Prevalence tool

Prevalence tool estimates mutation prevalence in 31 cancer predisposition genes by analyzing an approximately 150,000 multi-gene panel test cohort from Ambry Genetics collected between March 2012 and December 2016 to enable stratified assessment of hereditary cancer-associated variants.


Key Features:

  • Comprehensive data integration: Aggregates deidentified clinical and genotype data from approximately 150,000 multi-gene panel tests conducted at Ambry Genetics between March 2012 and December 2016.
  • Stratified prevalence analysis: Performs stratified analysis of mutation prevalence across 31 cancer predisposition genes conditioned on ethnicity, age of onset, and personal and family history.
  • Ethnicity-specific insights: Provides ethnicity-stratified prevalence estimates with cohort representation including Non-Hispanic White (74%), Black (10,875), Ashkenazi Jewish (10,464), Hispanic (10,028), and Asian (7,090) individuals.
  • Cancer type focus: Includes cancer-type annotations with breast (50%), ovarian (6.6%), and colorectal (4.7%) cases represented, reflecting common referral patterns and alignment with prevailing genetic testing guidelines.

Scientific Applications:

  • Hereditary cancer risk assessment: Provides mutation prevalence estimates conditioned on patient-specific demographic and clinical features for use in hereditary cancer risk estimation.
  • Test selection and prioritization: Informs selection of gene panels and prioritization of testing strategies based on stratified mutation prevalence across genes and patient subgroups.
  • Genetic counseling refinement: Enables refinement of counseling and interpretation by quantifying how clinical and demographic factors influence mutation prevalence in a high-risk referral population.

Methodology:

Compiles, normalizes, and visualizes results from a large cohort of multi-gene panel tests; summarizes mutation detection rates across genes and panels; and enables stratified analyses quantifying the influence of clinical and demographic factors on mutation prevalence.

Topics

Details

Added:
1/14/2020
Last Updated:
12/6/2020

Operations

Publications

Hart SN, Polley EC, Yussuf A, Yadav S, Goldgar DE, Hu C, LaDuca H, Smith LP, Fujimoto J, Li S, Couch FJ, Dolinsky JS. Mutation prevalence tables for hereditary cancer derived from multi-gene panel testing. Unknown Journal. 2019. doi:10.1101/19011981.