Science You Can Trust, Insights You Can Use
Our DNA analysis is built on validated research, transparent methods, and strict data protection standards. Transforming complex genetics into practical, everyday guidance.
Our Scientific Approach
We translate raw genetic data into lifestyle-related insights grounded in current research. Our method is built on three pillars:
Evidence-Based Genetics
We use well-established single nucleotide polymorphisms (SNPs) and gene–trait associations supported by peer-reviewed studies.
Multi-Marker Models
We never rely on one SNP alone. Our algorithms combine multiple markers to reflect how traits are influenced by many genes, not a single variant. This provides more balanced and meaningful insights.
Continuous Scientific Review
Our scientific models evolve with research. We regularly update our trait algorithms based on the latest peer-reviewed studies, ensuring that our insights remain accurate, relevant, and aligned with current genetic understanding.
How Genes Influence Traits
These examples illustrate the types of gene-trait relationships that shape our findings.
Vitamin D Metabolism — GC Gene (rs2282679)
Several studies show that the minor allele (often G or C, depending on the population) of rs2282679 is associated with lower serum 25(OH)D concentrations and a higher risk of vitamin D deficiency. This association is robust across all ethnicities, including European, African American, Chinese, Brazilian, and Mexican populations. The SNP also influences DBP levels, thereby further modulating the bioavailability of vitamin D.
Why it matters:
Some variants are associated with lower Vitamin D levels, meaning individuals may benefit from more sun exposure or dietary intake.
Supported by research from:
Slater, N. et al. (2017). Genetic Variation in CYP2R1 and GC Genes Associated With Vitamin D Deficiency Status. Journal of Pharmacy Practice, 30, 31 – 36. https://doi.org/10.1177/0897190015585876.
Rivera-Paredez et. al (2018). Association between Vitamin D Deficiency and Single Nucleotide Polymorphisms in the Vitamin D Receptor and GC Genes and Analysis of Their Distribution in Mexican Postmenopausal Women. Nutrients, 10. https://doi.org/10.3390/nu10091175.
Signorello, L. et al. (2011). Common Variation in Vitamin D Pathway Genes Predicts Circulating 25-Hydroxyvitamin D Levels among African Americans. PLoS ONE, 6. https://doi.org/10.1371/journal.pone.0028623.
Stroia, C. et al. (2025). The Association of VDR, CYP2R1, and GC Gene Polymorphisms, Dietary Intake, and BMI in Regulating Vitamin D Status. Diseases, 13. https://doi.org/10.3390/diseases13070219.
Endurance Performance — PPARGC1A Gene (rs8192678)
Multiple meta-analyses and systematic reviews consistently report that the Gly (G) allele and Gly/Gly genotype are more prevalent in elite endurance athletes compared to controls, especially in Caucasian populations, and are associated with higher aerobic capacity and better endurance performance.
Why it matters:
Certain variants are linked to improved endurance capacity and training response.
Supported by research from:
Maciejewska, A. et al. (2012). The PPARGC1Agene Gly482Ser in Polish and Russian athletes. Journal of Sports Sciences, 30, 101 – 113. https://doi.org/10.1080/02640414.2011.623709.
Tharabenjasin, P. et al. (2019). Association of PPARGC1A Gly428Ser (rs8192678) polymorphism with potential for athletic ability and sports performance: A meta-analysis. PLoS ONE, 14. https://doi.org/10.1371/journal.pone.0200967.
Skin Aging & Collagen Breakdown — MMP1 Gene (rs1799750)
The rs1799750 polymorphism (1G/2G) in the promoter region of the MMP1 gene, which encodes matrix metalloproteinase-1, has been studied for its impact on collagen degradation and its association with various connective tissue and collagen-related disorders. MMP1 plays a key role in remodeling the extracellular matrix by breaking down interstitial collagens, making this variant relevant to diseases involving collagen structure and turnover.
Why it matters:
Some genotypes are associated with faster collagen breakdown, contributing to earlier signs of wrinkles.
Supported by research from:
Kern, J. et al. (2009). Forty‐two novel COL7A1 mutations and the role of a frequent single nucleotide polymorphism in the MMP1 promoter in modulation of disease severity in a large European dystrophic epidermolysis bullosa cohort. British Journal of Dermatology, 161. https://doi.org/10.1111/j.1365-2133.2009.09333.x.
Our Standards: Ethics, Privacy & Quality
We believe science is only meaningful when paired with responsibility.
GDPR-Compliant by Design: All genetic data is processed in line with the strictest European privacy regulations.
Secure German Laboratory: Sample processing is performed in Germany by accredited laboratory partners.
You Stay in Control: You can request deletion of your data at any time. Your DNA is never sold, shared, or used for research without your explicit consent.
Frequently Asked Questions
What is a genetic variant (SNP)?
A genetic variant, also called a SNP, is a small difference in your DNA sequence that makes you unique. Most variants are harmless and simply influence things like how your body processes nutrients, responds to training, or how your skin ages.
What do you mean by “risk” and “risk score” in the context of a trait?
“Risk” or “risk score” or having a “risk variant” refer to a genetic predisposition that indicates a tendency but is not a guarantee. Your DNA can influence how likely you are to develop a certain trait, but lifestyle, environment, and habits continue to play an important role. For example, a higher “risk” for lower vitamin D levels simply means that you may be more likely to have lower levels due to your genetics. It does not predict a lower level and is not a substitute for medical testing.
Do genetics determine everything?
No. Your genetics influence how your body responds, but lifestyle, nutrition, environment, age, and habits play an equally important role.
Do you analyze health risks or medical conditions?
No. We focus strictly on non-medical lifestyle traits such as nutrition, skin aging, performance, and personality tendencies. We do not provide disease risk, diagnosis, or medical advice.
How accurate are the results?
Our reports are based on validated genetic markers and scientific studies. Each trait is backed by published research, and we continuously review new findings to ensure our reports remain accurate and up to date.
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