Genetic Health Profile (Muhdo)
Comprehensive DNA-based analysis revealing genetic predispositions across fitness, nutrition, recovery, sleep, and health domains.
Table of contents
Basic data
The Comprehensive Genetic Health Profile (Muhdo) is an advanced DNA test that analyzes hundreds of single nucleotide polymorphisms (SNPs) to uncover individual genetic predispositions influencing physical performance, nutrition, vitamin metabolism, recovery capacity, mental resilience, and long-term health risks.
This test helps users understand how their genes may affect traits such as muscle power and endurance, carbohydrate and fat metabolism, inflammatory response, sleep quality, stress resilience, and susceptibility to injury. Unlike clinical diagnostics, it does not measure current biomarker levels but provides insights into inherent tendencies — guiding more effective personalization of training, supplementation, and lifestyle strategies.
The Muhdo platform integrates genetic science with lifestyle coaching, offering a user-friendly report that translates complex genomic data into clear, actionable recommendations for health optimization.
Category: Genetics
Level: Advanced
Usefulness: Medium
Level
Advanced
Usefulness
Medium
Genetic insight for personalization
Identifies how your body may respond to nutrition, training, and stress — enabling better-tailored health strategies.
Predictive rather than diagnostic
Highlights predispositions rather than active conditions, making it useful for prevention and lifestyle design.
Broad coverage
Covers fitness, recovery, micronutrient metabolism, sleep, stress, aging, injury risk, and cognitive performance.
How it works
Sample collection
A saliva sample is collected at home using a sterile kit and sent to the Muhdo laboratory for DNA extraction.
SNP genotyping
Genetic variants are identified through microarray analysis, covering markers associated with metabolism, recovery, inflammation, and neuromuscular function.
Report generation
Results are aggregated into personalized reports that group SNPs into lifestyle-relevant categories like nutrition, exercise, vitamins, stress, and longevity.
Measures
Fitness and physical traits
Power and endurance potential, VO₂max predisposition, recovery speed, muscle fiber composition, and injury risk.
Nutrition and metabolism
Genetic tendencies affecting carbohydrate, fat, and protein metabolism, as well as weight gain and fat distribution.
Vitamins and micronutrients
Predispositions for deficiencies in vitamin D, B12, folate, magnesium, selenium, and other essential nutrients.
Gut health
Predispositions for gluten intolerance, irritable bowel syndrome (IBS), gum disease risk, and the impact of stress or caffeine on digestive health.
Cardiovascular health
Genetic risk for hypertension, arrhythmia, lipid imbalance (LDL/HDL), and cardiovascular disease; sodium sensitivity.
Immunity and inflammation
Immune response potential, inflammation tendency, and response to vitamins and minerals (vitamin D, B-group, selenium, C). Includes markers like PTPN22 associated with immune regulation.
Vision and eye health
Risk of cataract or glaucoma, beta-carotene conversion efficiency, and predispositions to age-related vision decline.
Skin health and aging
Predispositions related to skin aging, collagen turnover, pigmentation, photoaging, and skin sensitivity to gluten or sunlight.
Muscular system
Myostatin-related muscle mass potential, testosterone baseline levels, inflammation-related soreness response, and CoQ10 deficiency risk.
Stress and mental health
Genes linked to stress resilience, focus, memory, and cognitive performance, including COMT variants (“warrior” vs “sensitive” type).
Reliability
Analytical accuracy
DNA sequencing and SNP genotyping are highly reliable; errors are rare when laboratory quality controls are met.
Interpretation variability
The predictive value of individual SNPs varies; most health outcomes depend on multiple genes and lifestyle factors.
Limitations
Context-dependent value
Results should always be interpreted alongside lifestyle data and clinical tests — genetics alone explain only part of health outcomes.
No current biomarker data
The test reveals tendencies but not current vitamin levels, inflammation, or hormonal balance.
Overinterpretation risk
Single genetic variants rarely determine outcomes; complex interactions and epigenetic factors also play major roles.
Frequency
Suggested cadence
One-time test; genetic data remain stable throughout life. Optional re-analysis if new panels or scientific updates are introduced.
Cost
Typical costs
Approximately €150–300, depending on region and whether epigenetic modules or coaching add-ons are included.
Availability
Where available
Offered worldwide through Muhdo’s online platform and affiliated longevity and wellness clinics.
Preparation
How to prepare
Avoid eating, drinking, or brushing teeth for at least 30 minutes before providing the saliva sample to prevent DNA contamination.
Interpretation
Green (favorable)
Indicates genetically advantageous or balanced predispositions — e.g., strong recovery capacity or normal metabolism.
Yellow (neutral/moderate)
Suggests average genetic tendency — modifiable through lifestyle choices such as training, nutrition, or recovery.
Red (unfavorable)
Highlights potential vulnerabilities — e.g., higher risk of injury or lower vitamin absorption — warranting targeted interventions.
Alternatives
3x4 Genetics Blueprint
Focuses on functional genomics for personalized nutrition and exercise guidance.
DNAFit Fitness & Diet Pro
Provides a similar interpretation of fitness and nutrition genetics with a focus on actionable recommendations.
FAQ
Does the Muhdo test diagnose diseases?
No. It identifies genetic tendencies that may influence health outcomes but does not diagnose or confirm disease.
Can lifestyle changes override my genetic predispositions?
In most cases, yes. Genes set potential limits, but lifestyle, training, and nutrition largely determine real outcomes.
Is it worth retesting over time?
The DNA sequence doesn’t change, but retesting may be useful if Muhdo updates its algorithm or adds new evidence-based traits.