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Interpretation,
not just annotation

From variant input to actionable insight, powered by AI, grounded in evidence, and aligned with clinical guidelines.

STEP 01

Input

Genomic variant files are uploaded. Millions of variants are filtered so priority is placed on those most likely to be clinically relevant.

STEP 02

Annotation

Relevant variants are annotated with gene information, population frequencies, known clinical associations, and inheritance patterns to establish biological and clinical context.

STEP 03

Interpretation

Each variant is interpreted by integrating evidence from clinical knowledge, scientific literature, and biological datasets. Non-coding variant classification is explicitly included alongside protein-coding analysis.

STEP 04

Review

Findings are delivered in three report tiers: a 3-page clinician summary, a genetic counselor mid-tier report, and a full 60-100 page research report. Pedigree and family analysis workflows are coming soon.

Transparent interpretation
at every step

Every conclusion is traceable. Every source is cited. Every decision pathway is open for clinical review.

Data Integration

Evidence Synthesis

Designed to synthesize evidence from public variant databases, established interpretation standards, and peer reviewed literature to support clinician review.

Gold Standard Validation
Auditability

Transparency

Every interpretation includes confidence scores, attention maps, and complete citation trails, making it clear which evidence influenced each conclusion. Decision pathways are captured in real time, with immutable, timestamped evidence trails available instantly for clinical review, audit, or verification.

Standards

Clinical Alignment

Interpretations align with ACMG/AMP guidelines and established clinical frameworks, and are designed for traceability, auditability, and clinician oversight, with benchmarking against public reference datasets as validation progresses.

ACMG/AMP Guidelines

Live evidence,
fully auditable

See how variant evidence is structured, scored, and presented for clinical review in real time.

BRCA2c.5946delT
PathogenicACMG/AMP Classification
ClinVar
Pathogenic
Strong
47
ACMG/AMP
PVS1, PM2
Strong
5 criteria
gnomAD
Absent
Supporting
0 / 251k
Literature
Confirmed
Strong
23 papers

Summary

This variant demonstrates sufficient evidence for pathogenic classification based on convergence of population data, functional impact predictions, and established clinical associations documented in peer-reviewed literature.

This is a demonstration only. GeneGenius is a clinical decision support platform. Final diagnostic and treatment decisions always remain with qualified clinicians. This demo illustrates evidence synthesis methodology, not diagnostic capability.

Human-in-the-Control Review

GeneGenius generates structured evidence summaries and ACMG-aligned variant classifications. These outputs are designed to support expert review by clinical geneticists and laboratory professionals, who retain full authority over final interpretation and reporting.

Healthcare-Ready
Infrastructure

GeneGenius is designed with enterprise security architecture suitable for healthcare environments.

Role-Based Access Control

Granular permissions ensure only authorized personnel access sensitive genomic data and analysis tools.

Encrypted Storage & Transmission

All data is encrypted at rest and in transit, meeting enterprise-grade security standards.

Audit Logging

Every analysis workflow is logged with immutable, timestamped records for compliance and review.

BAA Support

Support for Business Associate Agreements with partner institutions for regulatory compliance.

Clinical Research
Collaborations

GeneGenius works with research institutions and clinical laboratories to evaluate genomic interpretation workflows using retrospective and de-identified datasets.

Variant Concordance

Evaluating consistency of variant classification across review workflows.

Workflow Acceleration

Measuring time-to-result improvements via AI-assisted interpretation.

LIS Integration

Seamless data exchange with existing laboratory information systems.