DNA Metabolism Tests: Scientific Basis, Markers & Studies

What DNA metabolism tests are about scientifically

Nutrigenetics is the field of genetics that studies how individual genetic variants influence the body’s response to nutrients. It is based on so-called SNPs (single-nucleotide polymorphisms)—positions in the genome where people differ in a single DNA building block. For some of these variants, studies have shown statistical associations with traits such as body weight, caffeine or lactose tolerance, or folate metabolism.

These relationships are probabilistic, not deterministic. A genetic variant shifts a probability; it does not determine an outcome. Body weight, dietary response, and metabolism arise from the interaction of many genes with diet, exercise, sleep, and the environment. Therefore, a single marker always explains only a small proportion of the differences observed.

mybody®’s DNA metabolism analyses evaluate genetic variants across several areas: nutrition and body weight, nutrient requirements, eating habits, metabolic properties (e.g., alcohol, caffeine, and lactose metabolism), detoxification/oxidative stress, physical activity, lifestyle, and metabolic factors such as blood lipids and blood sugar. The areas included in each test vary by product.

This page discloses which markers mybody®’s DNA metabolism tests are based on, which studies support them, how the sample is processed, and where the method’s limitations lie. The goal is transparency: the complete list of analyzed genes and the scientific background with bibliography are publicly available; every genetic variant mentioned below is supported by a verifiable source.

Overview of the genetic variants analyzed

Selection of representative markers; depending on the product, the DNA tests analyze significantly more genetic variants (complete gene list). All interpretations are statistical associations from studies and are not individual diagnoses.

The markers in detail

FTO – the weight-related genetic variant

The FTO gene (fat mass and obesity-associated) is the best-studied common genetic variant associated with body weight. The initial description by Frayling and colleagues showed that, on average statistically, carriers of the risk variant have a higher body mass index (the ratio of weight to height) [1]. The effect in individuals is small and can be influenced by diet and physical activity.

APOA2 – when genes and diet interact

APOA2 is a good example of a gene–diet interaction: the gene alone is not the determining factor; its interaction with diet is. In several independent populations, high saturated-fat intake was more strongly associated with higher body weight in people with certain APOA2 genotypes [2]. This illustrates the central idea of nutrigenetics—that the response to a food can be genetically influenced.

TCF7L2 – sugar metabolism and insulin

TCF7L2 is one of the most consistently replicated common variants associated with the risk of type 2 diabetes [3]. The gene is involved in insulin secretion. The marker provides an indication of predisposition, not disease status—an elevated statistical risk is not a diagnosis and does not replace blood glucose testing.

CYP1A2 – how quickly caffeine is broken down

CYP1A2 encodes the liver enzyme that breaks down most caffeine. Depending on their genotype, people are considered “fast” or “slow” metabolizers. A large study described an association between slow caffeine breakdown and the risk of heart attack at higher levels of coffee consumption [4]. This is a statistical association, not a dietary recommendation.

MCM6/LCT – genetic lactose tolerance

The ability to digest the milk sugar lactose as an adult is controlled by a variant near the lactase gene (LCT) in the MCM6 region (lactase persistence). Enattah and colleagues identified the underlying variant [5]. A genetic test shows the genetic predisposition; whether someone experiences symptoms also depends on their actual tolerance.

MTHFR – folate metabolism

The MTHFR enzyme is involved in the metabolism of folate (vitamin B9) and homocysteine. The C677T variant is associated with reduced enzyme activity [6]. The marker is interpreted in the context of B-vitamin intake; an actual deficiency can only be determined through a blood test, not genetics alone.

ACTN3 – muscle structure and sports

ACTN3 encodes a structural protein in fast-twitch muscle fibers and is often called the “sprinter gene.” Certain genotypes occur at different frequencies in power and sprint profiles than in endurance profiles [7]. The marker indicates a predisposition; training status and technique remain crucial to actual performance.

Data protection, methodology & quality

Data protection & data processing: Protecting your data is our top priority—especially when it comes to genetic data. Under the General Data Protection Regulation (GDPR), genetic data is considered a special category of personal data requiring enhanced protection (Article 9 GDPR). At mybody®, your data is processed for a specific purpose—exclusively to perform and evaluate your test—and based on your explicit consent. It will not be processed for other purposes without your consent.

Information security is organized according to ISO/IEC 27001, the internationally recognized standard for information security management systems. Your genetic data is transmitted and stored in encrypted form. You have the rights of data subjects under the GDPR – in particular, the rights to access, rectification, and erasure of your data. Details regarding storage duration, processing, and your rights are governed by the privacy policy.

The sample is conveniently collected at home as a saliva sample. DNA is extracted from the saliva and analyzed at the predefined gene positions (SNPs) through genotyping. The result is an assignment of the respective genotype, which is then compared with the current study findings and translated into an easy-to-understand report.

1. 1

   Collect saliva sample

   At home with the test kit, including instructions.

2. 2

   Return shipment

   Free of charge to the analysis laboratory.

3. 3

   DNA analysis

   DNA extraction and genotyping of the defined SNPs in the laboratory.

4. 4

   Analysis

   Comparison with the study findings and preparation of the analysis report.

5. 5

   Result

   Delivery of the analysis; 15–25 business days after receipt of the sample.

Transparency & traceability: The complete list of analyzed genes and the scientific background with bibliography are publicly available as documents. This makes it possible to trace the underlying evidence for each analyzed marker.

Laboratory & accreditation: The genetic analysis is carried out by the specialist medical laboratory MVZ GANZIMMUN GmbH (Mainz), which is accredited according to DIN EN ISO 15189:2024 (DAkkS registration number D-ML-13151-01-00) [11]. The laboratory participates in external proficiency testing schemes (including INSTAND e.V., Referenzinstitut für Bioanalytik/RfB, UK NEQAS, and ERNDIM). The term accredited (assessment of professional and technical competence according to DIN EN ISO 15189 by the German Accreditation Body, DAkkS) must be distinguished from certified (proof of a management system, such as ISO 9001 or ISO/IEC 27001) [10].

Frequently asked questions

Sources

1. Frayling TM et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 2007;316:889–894. PubMed
2. Corella D et al. APOA2, dietary fat, and body mass index: replication of a gene-diet interaction in 3 independent populations. Arch Intern Med 2009;169(20):1897–1906. PubMed
3. Grant SFA et al. Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes. Nature Genetics 2006;38:320–323. PubMed
4. Cornelis MC et al. Coffee, CYP1A2 genotype, and risk of myocardial infarction. JAMA 2006;295:1135–1141. PubMed
5. Enattah NS et al. Identification of a variant associated with adult-type hypolactasia (lactase persistence, MCM6/LCT). Nature Genetics 2002;30:233–237. PubMed
6. Frosst P et al. A candidate genetic risk factor for vascular disease: a common mutation in methylenetetrahydrofolate reductase (MTHFR C677T). Nature Genetics 1995;10:111–113. Nature Genetics
7. Yang N et al. ACTN3 genotype is associated with human elite athletic performance. Am J Hum Genet 2003;73(3):627–631. PubMed
8. Celis-Morales C et al. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial. Int J Epidemiol 2017;46:578–588. Int J Epidemiol
9. MYBODY Lab GmbH. Analyzed Genes – complete list of evaluated gene variants (PDF). Open document
10. MYBODY Lab GmbH. Scientific Background – bibliography of the underlying studies (PDF). Open document
11. DAkkS – Medical Laboratories / DIN EN ISO 15189 (Accreditation Explanation). dakks.de
12. MVZ GANZIMMUN GmbH. Quality management – accreditation according to DIN EN ISO 15189:2024 (DAkkS D-ML-13151-01-00). ganzimmun.de

References [1]–[7] are representative primary sources for the markers explained above; the complete, thematically organized bibliography containing over 100 studies is available in the document “Scientific Background” [9].