Personalized nutritional plan 



Are you eating right? 

Ask your genes

Our Genes Say…


Each person is unique by presenting different:

+ interrelationships between fat, carbohydrate and protein metabolism

+ balance between energy intake and energy expediture

+ balance between sleep/rhythm consumption

+ predisposition to weight loss

+ energy regulation

+ individual metabolic profile

 MyNutriGenes® Genetic Test

A personalized nutritional action plan 

for a healthy weight maintenance 

The results of this genetic test cannot be used for clinical diagnostics, disease prevention or to identify a clinical condition

What is analyzed?

The DNA, extracted from a saliva sample, is analyzed in order to evaluate 54 genes (in a total of 80 genetic variants).

These genes are associated with nutrition and weight management in the following five main areas:


The MyNutriGenes® reports provide:

+ a global and integrated view of each individual genetic profile when compared with the global population

+ detailed information about genetic predisposition for risk or protection for the areas under analysis

+ a detailed action plan that can used to maintain a healthy weight.

A flexible and personalized nutritional 


What our clients say about us 

The partnership with HeartGenetics is instrumental to transform genetic data in an effective and actionable tool in the nutrition space. With this new tool, we are able to develop a more personalized and efficient nutritional approach. The HeartGenetics’ team is very motivated, pro-active and easy to work with.

Mónica Sousa, Nutricionista at NutriBalance.

A genetic test for a lifetime

Get your personalised nutritional plan today 

* In certain countries, nutritionists ARE NOT allowed to prescribe the genetic test. In this situation, healthcare providers are required to contact us prior sending the samples. Please contact us here.

** Saliva or blood samples can be used for the genetic analysis.

Download MyNutriGenes® Test Requisition Form: EN | ES | IT

Go back to products  |  Download product sheet in EN | ES | IT |  Need further information? Contact 


The science behind the genetic test

Personalized nutritional plan supported by genetics


MyNutriGenes® is a state-of-the-art and an up-to-date genetic test that analyzes 80 genetic variants, present in 54 genes, with a significant impact on the planning of a personalized nutritional plan. It follows the innovative and proprietary HeartGenetics’ methodology, that includes a genotyping phase and a data processing phase, leading to the definition of an action plan to support a personalized healthy diet and weight control.

The associations identified between the genetic variants under study and the body’s response to food intake are corroborated by reliable international scientific studies [1-5].

The scientific knowledge presented in the reports resulted from the evaluation of more than 300 scientific studies, including meta analyses of cohorts from 3.000 to 30.000 participants [6-8].

Only peer reviewed scientific publications presenting statistically significant genotype-phenotype correlations have been considered [9-12].

These scientific studies took into consideration the relationship between the genetic variants and the physical and/or metabolic attributes (i.e. weight, BMI, fat mass, metabolic profile, sensibilities to salt and caffeine, circadian rhythm, appetite, among others).

Value added personalized nutrition:

How a genetic profile complements nutritional counselling

NutriGenetics is a science that investigates the association between genes and each individual’s response to nutrient intake.

The use of information on genetic predisposition to establish a nutritional plan should be integrated with information on:

– physical characteristics (e.g. age, gender, muscle mass index, etc.) and;

– behavioural information (e.g. eating habits, physical activity, etc.)

By considering the genetic data information, weight loss results can be improved. 

“… we observed a 3-fold difference in 12-month weight loss for initially overweight women who were determined to have been appropriately matched vs. mismatched to a low carbohydrate (Low Carb) or low fat (Low Fat) diet based on their multi-locus genotype pattern.”

Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets? Gardner, Christopher D. Stanford University, Stanford, CA, United States, 2015.


“…Addition of nutrigenetically tailored diets resulted in better compliance, longer-term BMI reduction and improvements in blood glucose levels. (Nutrition Journal 2007, 6:29)” (…) “The present study demonstrates that the C allele of the -174G>C polymorphism gives protection against regain of weight lost. Moreover, the presence of the Ala allele of the PPARgamma-2 together with the C allele strengthens this protection. These findings support a role for these polymorphisms on weight regulation and suggest a synergetic effect of both variants on weight maintenance after following a diet to lose weight.

Br J Nutr. 2006 Nov;96(5):965-72.


“… after about ten months, BMI decreased 5.6% (1.93 kg/m2 ) in the nutrigenetic group versus a 2.2% gain (0.51 kg/m2 ) in the control group (p<0.023). After 90 days, among the participants with pre-diabetes, 57% of individuals in the nutrigenetic group and 25% of individuals in the control group demonstrated a significant reduction in fasting blood glucose (p<0.046). Findings suggest use of genetic profiling to optimize dietary intervention may promote weight loss and maintenance in comparison to random assignment to a diet for weight loss. Additionally, patients with prediabetes experienced improved insulin sensitivity when genetically matched to a diet for weight loss

Improved weight management using genetic information to personalize a calorie controlled diet. Arkadianos I, Valdes AM, Marinos E, Florou A, Gill RD, et al. (2007) . Nutr J 6: 29.


… Findings determined that individuals who were truly matched to their dietary intervention based on genotype experienced 5.3 percent loss in body weight (BW) over 12-months versus 2.3 percent BW in false matches (p<0.005). True matches to the programs lowest in CHO (Atkins) and fat (Ornish) experienced 6.8% total weight loss in comparison to 1.4% in false matches. Additionally, positive blood lipid changes were demonstrated in favor of those who were true genotype matches

Genetic phenotypes predict weight loss success: the right diet does matter. Dopler Nelson M Prahakar P, Kornman K, Gardner C (2010) . AHA Abstracts: 79-80  

MyNutriGenes® Genetic Panel 




Scientific knowledge used in the reports is updated in each 6 months by the highly qualified HeartGenetics’ team of PhDs in human genetics and nutrition. MyNutriGenes® reports are limited to the available scientific knowledge at the time the test was developed. 


HeartGenetics applies a rigorous quality control, which may not exclude the possibility of error that might influence the test results. Presently the genetic test present an accuracy of 99%. The reliability of the results is always guaranteed as HeartGenetics, Genetics and Biotechnology SA. Standard quality recommendations are always followed for the execution of  genetic test.


A Powerful and Accurate Genetic Reporting Tool

Actionable Genetic Reports 

The MyNutriGenes® reports are performed by using the innovative and easy to use clinical decision support system developed by HeartGenetics, HEARTDECODE®.  The HEARTDECODE® is an unique and disruptive medical device that performs comprehensive, simpler to read and more straight to the point genetic reports in the field of nutrition, cardiovascular and pharmacogenetics.

MyNutriGenes® reports are: 


Sample genotyping is performed by using a high-throughput DNA Microchip platform, the iPLEX® MassARRAY® system (Agena Bioscience, Inc). This platform allows an optimal genetic analysis by combining the benefits of accurate primer extension chemistry with MALDI-TOF mass spectrometry. The MassARRAY® system performs SNP genotyping with a high level of accuracy and reproducibility (>99% call rates with >99.7% accuracy on validated assays).

Your are unique. Your nutrition is too. 


Get your personalised nutritional plan today 

* In certain countries, nutritionists ARE NOT allowed to prescribe the genetic test. In this situation, healthcare providers are required to contact us prior sending the samples. Please contact us here.

** Saliva or blood samples can be used for the genetic analysis.

Download MyNutriGenes® Test Requisition Form: EN 

Go back to products  |  Download product sheet in EN | ES |  Need further information? Contact us

Selected References

Obesity (Silver Spring) 2006;14:1454–1461. 
British Journal of Nutrition (2006), 96, 965–972 
Metabolism. 2007 Dec;56(12):1643-8
Nat Genet. 2008 ;40(8):943-5
Nature. 2015 Feb 12;518(7538):197-206
Nature. 2015 Feb 12;518(7538):187-96
Obesity (Silver Spring). 2010 Jul;18(7):1369-77 
Atherosclerosis. 2010 Jun;210(2):461-7
BMC Med Genet. 2010 Jun 9;11:86
Nat Genet. 2010 Nov;42(11):937-48
Int J Obes (Lond). 2011 May;35(5):666-75
Journal of nutrigenetics and nutrigenomics 2011;4(1):36-48

Proc Nutr Soc. 2012 Feb;71(1):141-53
Obes Surg. 2012 May;22(5):783-90
J Community Genet. 2012 Oct;3(4):319-22
Hum Mol Genet. 2013 Jan 1;22(1):184-201
Genes Nutr. 2013 Jan;8(1):61-7
Circulation. 2013 Mar 26;127(12):1283-9.
Am J Epidemiol. 2014 Dec 1;180(11):1051-65
Nat Rev Endocrinol. 2014 Dec;10(12):723-36
Hum Mol Genet. 2015 Jun 15;24(12):3582-94

Horm Metab Res. 2005 Feb:37(2):99-105
Obesity (Silver Spring). 2009 Mar;17(3):510-7
Metabolisme. 2009; 41, 55-61
Obesity (Silver Spring). 2010 Dec; 18(12): 2255–2259
European Journal of Human Genetics. 2010, 18, 364–369
Journal of Obesity. 2010; 34, 516–523
PLoS ONE.2011;6:299
Am J Clin Nutr. 2011 Jul;94(1):262-9
Hum Immunol. 2014 Oct;75(10):1062-8
Diabetes 60:345–354, 2011
Eur J Endocrinol. 2011 Feb;164(2):205-12
Proc Nutr Soc. 2012 Feb;71(1):141-53
Prog Mol Biol Transl Sci. 2012,108:347-82
Obesity (Silver Spring). 2013 Jul;21(7)
Genes Nutr. 2013 Jan;8(1):61-7
Am J Clin Nutr. 2014 Feb;99(2):392-9
Nutr J. 2014 Feb 14;13:17
PLoS ONE. 2014;9:299
J Nutrigenet Nutrigenomics. 2014;7(4-6):232-42
Diabetes Care. 2015 Aug;38(8):1456-66
Int J Mol Sci. 2016 Mar; 17(3): 299
Nutrition. 2016; 32, 4, A1-A4, 409-504

PLoS One. 2008 Aug 13;3(8):e2941
Obesity (Silver Spring). 2010 Dec; 18(12): 2255–2259 Journal of Obesity. 2010; 34, 516–523
European Journal of Human Genetics. 2010; 18, 364–369 PLoS ONE.2011;6:299
Diabetes 60:345–354, 2011
Obes Surg. 2012 May;22(5):783-90
Appetite. 2013 Jan; 60(1): 111–116
Am J Clin Nutr. 2014 Feb;99(2):392-9
Int J Mol Sci. 2016 Mar; 17(3): 299
Nutrition. 2016. Volume 32, Issue 4, Pages A1-A4, 409-504