Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification framework
Abstract
We evaluated the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) variant pathogenicity guidelines for internal consistency and compatibility with Bayesian statistical reasoning.The ACMG/AMP criteria were translated into a naive Bayesian classifier, assuming four levels of evidence and exponentially scaled odds of pathogenicity. We tested this framework with a range of prior probabilities and odds...
Paper Details
Title
Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification framework
Published Date
Sep 1, 2018
Journal
Volume
20
Issue
9
Pages
1054 - 1060
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