Show Notes
Whiffin N et al., Genetics in Medicine - A statistical framework uses large reference allele-frequency data (ExAC) together with disease prevalence, heterogeneity, penetrance, and sampling variance to set rigorous frequency filters that improve Mendelian variant interpretation. Key terms: allele frequency, clinical genomics, ExAC, inherited cardiovascular conditions, variant interpretation.
Study Highlights:
The authors develop a two-step statistical framework to compute a disease-specific maximum credible population allele frequency and a maximum tolerated allele count accounting for prevalence, genetic and allelic heterogeneity, inheritance mode, penetrance, and sampling variance. Applying this to hypertrophic cardiomyopathy and other inherited cardiac conditions using ExAC, stringent thresholds (well below 0.1%) remove roughly two-thirds of candidate protein-altering variants per exome. Validation against curated ClinVar and case series shows true pathogenic variants are retained while many likely benign or unsupported variants are reclassified. The group provides precomputed filtering allele frequencies for ExAC and an online calculator and code to apply the approach.
Conclusion:
A disease-aware, statistically principled allele-frequency filtering framework and precomputed ExAC thresholds materially reduce candidate variant lists and improve clinical genome interpretation without discarding true pathogenic variants.
QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.
Factual QC score: 10/10.
Metadata QC score: 10/10.
Supported core claims: 6.
Claims flagged for review: 0.
Metadata checks passed: 4.
Metadata issues found: 0.
QC result: Pass.
Music:
Enjoy the music based on this article at the end of the episode.
Article title:
Using high-resolution variant frequencies to empower clinical genome interpretation
First author:
Whiffin N
Journal:
Genetics in Medicine
DOI:
10.1038/gim.2017.26
Reference:
Whiffin N, Minikel E, Walsh R, et al. Using high-resolution variant frequencies to empower clinical genome interpretation. Genet Med advance online publication 18 May 2017. doi:10.1038/gim.2017.26
License:
Creative Commons Attribution 4.0 International License
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