Sample report

What a full trait card shows you.

This is what a real ExomeDNA report looks like — the same trait cards, the same confidence tiers, the same citation depth that ship with your actual analysis. Below is a curated sample populated with demo data so you can see the chrome before you upload anything. Each card carries a scored result, the research behind it, and a one-click handoff to the AI Health Coach. The grid below is the product.

Annotations

1. “Higher” and “Lower” are categorical labels, not slider positions. The genome doesn’t deal in three decimal places, and we don’t pretend it does.
2. The confidence stars on each card are the editor saying: here’s how much research backs this. Three stars means many studies replicated the finding. One star means early evidence, and we said so.
3. Click into any card and the second layer reveals the genes, variants, and citations that produced the score. The default state is the summary. The expanded state is the receipts.

Methodology, briefly

Behind the grid: ExomeDNA’s parser reads your raw file in memory, scores each trait against the relevant GWAS associations, computes a confidence tier from study count and replication, and writes the derived results to your account. The genotype dictionary is destroyed before the request ends.

The grid you just scrolled is what comes out the other side. The AI Health Coach reads from the same derived scores — never from your raw DNA, which doesn’t exist by the time the chat opens. That’s the architecture. The grid is the artifact.