Discussing the report with your doctor
The report is a biological orientation map for your doctor's appointment — not a diagnosis. Here's how to get the most out of it.
↓ Download the doctor info sheet (PDF)How to discuss the report — in 3 steps
- 1Take the printable doctor's letter and your percentile profile to the appointment.
- 2Say clearly: this is a genetic orientation report (associative, not causal), not a substitute for diagnosis — I'd like to understand which mechanisms are notable for me.
- 3Ask concretely: which blood values or work-ups fit this? Which PEM-safe step makes sense for me (no graded exercise)?
If your doctor doesn't know the report: the doctor's letter explains methodology and limits on one page — to hand over.
That's understandable — genetic orientation is new. You can simply say: "This is not a self-test or a diagnosis. It places biological mechanisms, is medically guided and ordered under GenDG. Can we look together at what fits my symptoms?" The doctor's letter summarises methodology and limits on one page — that takes the pressure off the conversation.
For doctors
Brief overview for clinicians:
- ·What it is: a genetic orientation report across six mechanisms (percentiles), physician-ordered under GenDG.
- ·Methodology: CeGaT low-pass WGS (Germany) + imputation + combinatorial PrecisionLife analysis (appliance in DE, pseudonymous).
- ·What it is not: not a diagnostic test, not a treatment recommendation; the underlying analysis is a research signal (preprint, not yet peer-reviewed).
- ·Interpretation: associated is not causal; genetic disposition (stable) is not the current state (changeable).
- ·PEM note: no blanket graded exercise therapy (GET); pacing and exertion management come first.
- ·Data protection: processing in Germany (GDPR Art. 9), pseudonymous; PrecisionLife as a company receives no patient data.
Sample result to view: the Report-in-a-Nutshell in the knowledge hub.
From saliva to report — who does what
Genetic testing under GenDG; PrecisionLife as a company receives no patient data.