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ACMG/AMP 2015 Framework

What Is ACMG/AMP 2015

The ACMG/AMP 2015 framework is a joint consensus recommendation from the American College of Medical Genetics and Genomics and the Association for Molecular Pathology, published in Genetics in Medicine (Richards et al., 2015, PMID: 25741868). It is the international standard for clinical variant classification, used by laboratories worldwide and required by many accreditation bodies.

Evidence Criteria

The framework defines 28 evidence criteria organized by direction (pathogenic or benign) and strength level. Each criterion represents a specific type of evidence that supports or argues against variant pathogenicity.

Strength LevelCountBayesian PointsExamples
Stand-alone1Override to BenignBA1
Very Strong1+8PVS1
Strong (pathogenic)4+4PS1, PS2, PS3, PS4
Moderate6+2PM1, PM2, PM3, PM4, PM5, PM6
Supporting (pathogenic)6+1PP1-PP5, PP3_splice
Strong (benign)4-4BS1, BS2, BS3, BS4
Supporting (benign)6-1BP1-BP7

Helix Insight Implementation

Helix Insight automates 19 of the 28 criteria. The remaining 9 require information not available from a single VCF file -- family segregation data, functional study results, de novo confirmation, or case-level clinical context. These must be evaluated manually by the reviewing geneticist.

Classification uses the Bayesian point-based system (Tavtigian et al. 2018, 2020), which is mathematically equivalent to the original 18 ACMG combining rules while properly classifying evidence combinations not explicitly covered by the 2015 guidelines. Computational predictor evidence (PP3/BP4) uses BayesDel_noAF with ClinGen SVI calibrated thresholds (Pejaver et al. 2022), providing evidence strength modulation from Supporting through Strong.

VCEP Gene-Specific Specifications

For approximately 50-60 genes with published ClinGen Variant Curation Expert Panel (VCEP) specifications, gene-specific thresholds are available as an optional overlay. These modify frequency cutoffs (BA1, BS1, PM2) and criterion applicability (PVS1) based on the published VCEP specification. The overlay is enabled by default and can be toggled per case. When applied, an audit trail marker (e.g., "[VCEP:Hearing Loss v1.0]") appears in the criteria string.

Key Principle

The ACMG framework provides a structured, reproducible method for variant classification. Two geneticists using the same evidence should reach the same classification. Helix Insight ensures this reproducibility by applying identical rules to every variant, with full transparency on which criteria were triggered and why.

Reference: Richards S, et al. Genetics in Medicine. 2015;17(5):405-424. PMID: 25741868