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Updated: Nov 8, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
The Science and Art of Clinical Genetic Variant Classification and Its Impact on Test Accuracy
Hunter H Giles1, Madhuri R Hegde2,3, Elaine Lyon4
1Center for Genomic Interpretation, Sandy, Utah 84092, USA; email: hgiles@genomicinterpretation.org, mgarlapow@genomicinterpretation.org, jeggington@genomicinterpretation.org.
Abstract:
Clinical genetic variant classification science is a growing subspecialty of clinical genetics and genomics. The field's continued improvement is essential for the success of precision medicine in both germline (hereditary) and somatic (oncology) contexts. This review focuses on variant classification for DNA next-generation sequencing tests. We first summarize current limitations in variant discovery and definition, and then describe the current five- and four-tier classification systems outlined in dominant standards and guideline publications for germline and somatic tests, respectively. We then discuss measures of variant classification discordance and the field's bias for positive results, as well as considerations for panel size and population screening in the context of estimates of positive predictive value thatincorporate estimated variant classification imperfections. Finally, we share opinions on the current state of variant classification from some of the authors of the most widely used standards and guideline publications and from other domain experts.
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