The tool parses raw genotype files from 23andMe or AncestryDNA and does the following:

Cross-references ~1,500 curated, clinically significant SNP variants across 21 categories (cardiovascular, metabolic, autoimmune, pharmacogenomic, etc.) Detects convergence across 22 biological pathways — individual SNPs are noisy, but when you have multiple variants across lipid metabolism, coagulation, and cardiovascular pathways all feeding into the same risk, that's a signal. The tool uses sigmoid synergy scoring to surface those patterns. Calls pharmacogenomic metabolizer phenotypes for 11 genes (CYP2D6, CYP2C19, CYP2C9, CYP3A4, CYP3A5, CYP1A2, DPYD, TPMT, SLCO1B1, UGT1A1, ABCB1) with CPIC-aligned star-allele calling, and maps 60+ drug interactions with specific dosing actions. Computes polygenic risk scores with z-score → percentile conversion. Generates a full narrative report (markdown or JSON), a GP-readable summary card, and actionable recommendations. Includes an interactive React dashboard with a body map, variant table, pathway cards, and risk timeline.

Privacy was the first design decision. Your genome is the most sensitive data you have — it doesn't change, it can't be rotated, and it identifies you and your family permanently. Everything runs locally. No server, no API calls during analysis, no telemetry. Your data stays on your machine.