Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.
Journal:
JAMA
Published Date:
Nov 17, 2020
Abstract
IMPORTANCE: Less than 10% of patients with cancer have detectable pathogenic germline alterations, which may be partially due to incomplete pathogenic variant detection.
Authors
Keywords
Cross-Sectional Studies
Deep Learning
DNA Mutational Analysis
Female
Genetic Predisposition to Disease
Genetic Testing
Germ-Line Mutation
High-Throughput Nucleotide Sequencing
Humans
Male
Melanoma
Middle Aged
Neural Networks, Computer
Predictive Value of Tests
Prostatic Neoplasms
Sensitivity and Specificity