Skip to main content
πŸ“š Science

Methodology & Scientific Basis

How we interpret your genetic data to generate the risk reports.

1. Polygenic Risk Scores (GWAS)

Most health traits do not depend on a single gene, but on hundreds of small variations (SNPs) across the genome. We use data from the GWAS Catalog (Genome-Wide Association Studies) to identify these variants and calculate an accumulated score based on the effect size (Odds Ratio or Beta) reported in scientific studies with genome-wide significance (p < 5Γ—10⁻⁸).

2. Pharmacogenomics (PharmGKB)

We analyse genetic variants known to affect drug metabolism. We base our annotations on PharmGKB, an expert-curated knowledge base that classifies clinical evidence (Levels 1A, 1B, 2A, etc.) on how your genotype may influence the efficacy or toxicity of certain drugs.

3. Clinical Variants (ClinVar)

Unlike the statistical associations of GWAS, ClinVar variants are directly linked to hereditary conditions. We look for matches with variants classified as 'Pathogenic' or 'Likely Pathogenic' for specific conditions.

πŸ›‘οΈ Local Privacy & Security

Your DNA is uploaded over HTTPS and processed on our server in Germany (EU). We do not sell, license, or share your raw genetic data with insurers, researchers, or marketers. Data is kept for as long as your account is active and deleted permanently when you request it.

Traits & Conditions Analysed

βœ”Type 2 Diabetes
βœ”Insulin Resistance
βœ”Glucose Metabolism
βœ”Lipid Profile (Cholesterol/Triglycerides)
βœ”BMI & Obesity Predisposition
βœ”Inflammation Markers
βœ”Cardiovascular Health
βœ”Alzheimer's Risk
βœ”Major Depression
βœ”Common Cancer Predisposition
βœ”Drug Response