The human genome consists of approximately 30,000 genes (of which approximately 23,000 code for proteins) which are involved in very varied functions that range from metabolism to programmed cell death. By means of a specific process known as “alternative splicing” it is possible for a single gene to code for or produce a number of different types of proteins.
As a consequence, there are more than 500,000 different types of proteins in the human body. Since a single gene is not responsible for regulating a single process or producing a single protein but instead multiple processes are simultaneously regulated or influenced by the same gene, the human body constitutes a highly complex system.
In this system, genes and their products are linked to each other in such a way that a single alteration may have multiple consequences. In addition, the interaction of genes and their products with each other further contributes to the great degree of complexity of this system.
Therefore, the CoGAP MetaCheck® tests for specific metabolic genes and their interactions with each other, based on current scientific studies, in order to draw conclusions about a genetically adapted diet and genetically adapted training and determine the individual’s Meta-type (Alpha, Beta, Gamma or Delta).
The energy supply for the human body is primarily provided from the consumption of three different biological macronutrients (carbohydrates, proteins and fats). The four different Meta-types resulting of the CoGAP MetaCheck® are related to different rates of calorie consumption during metabolism of the three energy sources listed above.
In addition, the CoGAP MetaCheck® allows us to determine which form of exercise activity (speed versus endurance exercise) would be especially advantageous from the perspective of calorie consumption for the respective Meta-type.
In conclusion to the gene analysis, we undertake a reconciliation with current scientific studies, which must fulfill the following quality criteria:
- Reproducibility of study results (replicability)
- Adequate numbers of participants (number of subjects)
- Robustness (level of significance)
- Validated experimental methods (validity)
Using these criteria, after careful evaluation of all studies related to genetic factors associated with overweight, we determined the relevant metabolic genes and selected them to be included in the CoGAP Meta-Check®.
Only metabolic genes are analyzed. The metabolic genes that are investigated show different constellations that are classified into the individual Meta-types. However, they provide no indications of family relationships. Neither do they provide any information about your health risks. After the metabolic analysis is completed, your sample materials will be destroyed! In setting up each individual diet plan it is important to pay attention to the individual’s dietary objectives and to consider specific personal characteristics (e.g. gender, age, weight, state of health etc.).
Weight reduction (kg) in 12 months
Modified according to 
BMI reduction in 6 - 9 months
modified according to 
Sustaining the newly reached weight [%]
Well-being of the patients [%]
As you know, every individual processes macronutrients (carbohydrates, proteins and fats) differently. Scientific studies have shown that these differences are largely the result of an individual’s genetic make-up. Using DNA analysis, the CoGAP MetaCheck® enables you to adapt your training and dietary counseling to your genes. A retrospective study of the Stanford University published in March 2010 shows that a genetically adapted diet of this kind can result in achieving greater success in weight loss.
On average, the participants in the study who followed a genetically adapted diet successfully lost more than twice (about 2.5 times) as much weight than the comparison group with a generic dietary recommendation or diet (Figure 1).
Another retroperspective comparative study was carried out amongst others at the center of health of the German Sport University. Patients that adjusted their nutrition and sports activities according to their MetaCheck results stated that their reduction of BMI compared to the control group was by a factor of 5 more positive (Figure 2).
The sustainability of the weight loss success with MetaCheck was investigated in an empirical study that was carried out in 2016. Nearly 91% of the subjects reported that they were able to maintain their new weight (Figure 3). In addition, 87% of the subjects (Figure 4) felt more comfortable after adjusting their diet.
 Arkadianos I. et al., (2007) Improved weight management using genetic information to personalize a calorie controlled diet, Nutr J., 6(29), 1 - 8
 Nelson D. et al., (2010) Genetic Phenotypes Predict Weight Loss Success: The Right Diet Does Matter; NPAM March 2 – 4, 2010 I EPI March 3 – 5, 2010 I Hilton San Francisco Union Square I San Francisco, CA
 Kurscheid T. und Loewe L. (2013) Vergleichsstudie: Effektivität der nutrigenetischen Analyse „CoGAP MetaCheck®“ zur Gewichtsreduktion, AdipositasSpektrum, 13(2); 10 - 16.
 Oezueak O. et al., (2016) Überprüfung der Effektivität und Nachhaltigkeit einer Gewichtsreduktion auf Basis der genetischen Stoffwechselanalyse MetaCheck, medical fitness and healthcare, 16(2); 62 - 69.