From variant to insight — AI-powered clinical interpretation
Comprehensive variant analysis with ACMG/AMP guidelines, population databases, and AI-powered pathogenicity prediction for clinical decision support.
| Gene / variant | Classification | Path. score |
|---|---|---|
BRCA1 c.5266dupC · p.Gln1756fs | Pathogenic | |
MLH1 c.1852_1854del · p.Lys618del | Pathogenic | |
TP53 c.743G>A · p.Arg248Gln | Likely path. | |
CFTR c.1521_1523del · p.Phe508del | Likely path. | |
APC c.3920T>A · p.Ile1307Lys | VUS | |
MUTYH c.536A>G · p.Tyr179Cys | Benign |
Floxgen AI fuses multiple predictors into a single calibrated pathogenicity score, weighted by gene-level performance.
Decision support, not a black box
Floxgen interprets every variant against curated population databases, literature and functional evidence — then shows its reasoning. Clinicians see exactly which criteria fired, with full audit trails for sign-out.
Population context
gnomAD, 1000G and your own cohort allele frequencies, side by side.
Audit trail
Every classification is versioned, timestamped and reviewer-attributed.
Guideline-aligned
ACMG/AMP 2015 + ClinGen specifications, kept current.
Re-classification
Variants are re-evaluated as evidence evolves; reviewers are alerted.
ACMG / AMP criteria
Each variant is scored against the full criteria set; triggered codes combine into a final classification.
Pathogenicity AI
A calibrated ensemble of state-of-the-art predictors — AlphaMissense, REVEL, CADD, SpliceAI — fused into one score per variant, benchmarked per gene against ClinVar-known truth sets.
Evidence at a glance
Population frequency, conservation, splice impact and literature — surfaced together so the call is explainable in seconds.