DNA-Tests

Die Wissenschaft dahinter

Trust Icon

Deine Gene legen die Informationen fest, die Dein Körper braucht, um Makronährstoffe abzubauen und Energie zu speichern.

Auch der Stoffwechsel von Mikronährstoffen wird über unsere DNA reguliert. Jedoch ist das Erbgut jedes Menschen anders und somit hat jeder unterschiedliche Ansprüche an Ernährung und Sport.

Manche Menschen neigen z.B. dazu, mehr Energie in Form von Körperfett zu speichern als andere.

Daher kann die Entschlüsselung Deines genetischen Codes die Antwort auf die Frage sein:

Wie optimiere ich mein Gewicht und was hilft mir dabei, langfristig abzunehmen?

Auch Nährstoffmängel oder Sensitivitäten können genetisch veranlagt sein. Somit kann Dir Deine DNA dabei helfen, Deine Ernährung so individuell wie möglich zu gestalten.

DNA-Test

DNA SLIM TEST
DNA SLIM TEST
Erfahre in der genetischen Stoffwechsel-Analyse, wie Du Kohlenhydrate, Fette oder Proteine verwertest und entdecke, welche Abnehm-Strategien Dir den Gewichtsverlust erleichtern. Erhalte Deinen DNA-basierten Ernährungsplan und Empfehlungen für eine gesunde Lebensweise.
ab 189,00 €
Test entdecken

Im Laufe der Zeit hat sich der Mensch weiterentwickelt, um sich verschiedenen Nahrungsquellen anzupassen. Durch das Testen verschiedener Variationen Deines genetischen Codes, sind wir in der Lage Dein einzigartiges Stoffwechselprofil zu ermitteln. Deine genetischen Variationen haben nicht nur große Auswirkung auf die Verarbeitung von Makro- und Mikronährstoffen, sondern auch auf die Adaption zu körperlichen Aktivitäten sowie anderen Faktoren, die Deine Ernährung beeinflussen.

Unsere Mission ist es, Menschen zu unterstützen ihre Gesundheit in die eigenen Hände zu nehmen, sie zu motivieren und ihnen personalisierte sowie umsetzbare Empfehlungen zu geben.

Die genetischen Variationen, die wir testen und die zugehörigen Empfehlungen basieren auf:

Anerkannten Untersuchungsmethoden

Ausreichender Effektstärke

Replizierbarkeit der Ergebnisse

Quellen & Referenzen

Gen-Ernährung-Interaktion
Die metabolische Reaktion auf die Nährstoffaufnahme wird durch Gen-Polymorphismen (SNPs) verändert.

Quelle

A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake. Genes Nutr. 2015 Jan;10(1):445.
Analyses of single nucleotide polymorphisms in selected nutrient-sensitive genes in weight-regain prevention: the DIOGENES study. Am J Clin Nutr. 2012 May;95(5):1254-60.
Improved weight management using genetic information to personalize a calorie controlled diet. Nutr J. 2007; 6: 29.
Phenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumption. PLoS One. 2014 Jul 30;9(7):e103448.
Novel Genetic Loci Associated with the Plasma Triglyceride Response to an Omega-3 Fatty Acid Supplementation. J Nutrigenet Nutrigenomics. 2016;9(1):1-11.
Gene-diet interactions with polymorphisms of the MGLL gene on plasma low-density lipoprotein cholesterol and size following an omega-3 polyunsaturated fatty acid supplementation: a clinical trial. Lipids Health Dis. 2014 May 24;13:86.
Interaction between Common Genetic Variants and Total Fat Intake on Low-Density Lipoprotein Peak Particle Diameter: A Genome-Wide Association Study. J Nutrigenet Nutrigenomics. 2015;8(1):44-53.
Association between polymorphisms in phospholipase A2 genes and the plasma triglyceride response to an n-3 PUFA supplementation: a clinical trial. Lipids Health Dis. 2015 Feb 21;14:12.
CYP1A2 genotype modifies the association between coffee intake and the risk of hypertension. J Hypertens. 2009 Aug;27(8):1594-601.
APOA2, Dietary Fat and Body Mass Index: Replication of a Gene-Diet Interaction in Three Independent Populations. Arch Intern Med. 2009 Nov 9; 169(20): 1897–1906.
Association between the APOA2 promoter polymorphism and body-weight in Mediterranean and Asian populations. Replication of a gene-saturated fat interaction. Int J Obes (Lond). 2011 May; 35(5): 666–675.
Molecular basis of salt sensitivity in human hypertension. Evaluation of renin-angiotensin-aldosterone system gene polymorphisms. Hypertension. 2001 Nov;38(5):1204-9.
Renin-angiotensin system genetic polymorphisms and salt sensitivity in essential hypertension. Hypertension. 2000 Jan;35(1 Pt 2):512-7.
Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med. 2012 Oct 11;367(15):1387-96.
Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies. BMJ. 2014 Mar 19;348:g1610.
Saturated fat intake modulates the association between an obesity genetic risk score and body mass index in two US populations. J Acad Nutr Diet. 2014 Dec;114(12):1954-66.
Influence of SNPs in nutrient-sensitive candidate genes and gene-diet interactions on blood lipids: the DiOGenes study. Br J Nutr. 2013 Sep 14;110(5):790-6.
Insulin receptor substrate 1 gene variation modifies insulin resistance response to weight-loss diets in a 2-year randomized trial: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. Circulation. 2011 Aug 2;124(5):563-71.
Analysierte Gene (DNA SLIM TEST)
Assoziationen zwischen den getesteten SNPs in DNA SLIM TEST und der Ergebnisanalyse (DNA SLIM TEST PDF Report).

Quelle

Gineviciene V., Jakaitiene A., Aksenov M. O. (2016) Association analysis of ACE, ACTN3 and PPARGC1A gene polymorphisms in two cohorts of European strength and power athletes. Biol Sport. 33(3):199–206.
Weyerstraß J., et al. (2018) Nine genetic polymorphisms associated with power athlete status—A meta-analysis. J Sci Med Sport
Roth S. M., et al. (2012) Advances in Exercise, Fitness, and Performance Genomics in 2011. Med Sci Sports Exerc.; 44(5): 809–817.
Windelinckx A., et al. (2011) Comprehensive fine mapping of chr12q12-14 and follow-up replication identify activin receptor 1B (ACVR1B) as a muscle strength gene. European Journal of Human Genetics; 19, 208–215;
Masuo K., et al. (2005) Rebound Weight Gain as Associated With High Plasma Norepinephrine Levels That Are Mediated Through Polymorphisms in the β2-Adrenoceptor, American Journal of Hypertension, Volume 18, Issue 11, 1508– 1516;
Durmic T. (2017) Genes and elite athletic status. Moving forward. ASPETAR Sports Medicine Journal, 6: 84-87.
Sarpeshkar V., Bentley D. J. (2010) Adrenergic-ß2 receptor polymorphism and athletic performance. Journal of Human Genetics. 55, 479–485;
Larsen L. H., et al. (2012) Analyses of single nucleotide polymorphisms in selected nutrientsensitive genes in weight- regain prevention: the DIOGENES study. Am J Clin Nutr ;95:1254–60;
Fedotovskayaa O. N., Popov D. V., Vinogradovab O. L., Akhmetova I. I. (2012) Association of Muscle-Specific Creatine Kinase (CKMM) Gene Polymorphism with Physical Performance of Athletes. Human Physiology, Vol. 38, No. 1, pp. 89–93.
Phillips C. M., et al. (2012) High Dietary Saturated Fat Intake Accentuates Obesity Risk Associated with the Fat Mass and Obesity–Associated Gene in Adults. J. Nutr. 142: 824–831;
Harbron J., et al. (2014) Fat Mass and Obesity-Associated (FTO) Gene Polymorphisms Are Associated with Physical Activity, Food Intake, Eating Behaviors, Psychological Health, and Modeled Change in Body Mass Index in Overweight/Obese Caucasian Adults. Nutrients, 6, 3130-3152;
Davis W., et al. (2014) The fat mass and obesity-associated FTO rs9939609 polymorphism is associated with elevated homocysteine levels in patients with multiple sclerosis screened for vascular risk factors. Metab Brain Dis, 29: 409.
Speakman J. R. (2006) Thrifty genes for obesity and the metabolic syndrome — time to call off the search? Diabetes and Vascular Disease Research. 3(1), 7–11;
Spitzweg C., et al. (1997) Physiologische und pathophysiologische Bedeutung von Leptin beim Menschen. Deutsches Ärzteblatt 94, Heft 44, 31.
Smith A. J. P., et al. (2010) Application of statistical and functional methodologies for the investigation of genetic determinants of coronary heart disease biomarkers: lipoprotein lipase genotype and plasma triglycerides as an exemplar. Human Molecular Genetics, Vol. 19, No. 20 3936–3947;
Hamid Y. H., Urhammer S. A., Glümer C., et al. (2005) The common T60N polymorphism of the lymphotoxin-α gene is associated with type 2 diabetes and other phenotypes of the metabolic syndrome. Diabetologia, 48: 445;
Li CI., Li T. C., Liao L. N., et al. (2016) Joint effect of gene- physical activity and the interactions among CRP, TNF-α, and LTA polymorphisms on serum CRP, TNF-α levels, and handgrip strength in community-dwelling elders in Taiwan - TCHS-E. AGE, 38: 46;
Uyeda K. et al. (2002) Carbohydrate responsive element- binding protein (ChREBP): a key regulator of glucose metabolism and fat storage. Biochemical Pharmacology; 63: 2075-2080.
Leońska-Duniec A., Cieszczyk P., Jastrzębski Z., Jażdżewska A., Lulińska-Kuklik E., Moska W., et al. (2018) The polymorphisms of the PPARD gene modify post-training body mass and biochemical parameter changes in women. PLoS ONE 13(8): e0202557.
Hung C.-C. C., et al. (2004) Studies of the Peptide YY and Neuropeptide Y2 Receptor Genes in Relation to Human Obesity and Obesity-Related Traits. Diabetes, 53 (9) 2461-2466;
Bea, J. W., et al. (2010) Lifestyle modifies the relationship between body composition and adrenergic receptor genetic polymorphisms, ADRB2, ADRB3 and ADRA2B: A secondary analysis of a randomized controlled trial of physical activity among postmenopausal women. Behavior Genetics, 40(5), 649- 59;
Kurylowicz A. (2015) Stimulation of Thermogenesis via Beta- Adrenergic and Thyroid Hormone Receptors Agonists in Obesity Treatment – Possible Reasons for Therapy Resistance. J Pharmacogenomics Pharmacoproteomics 6: 145;
Jesus Í. C., et al. (2018) Trp64Arg polymorphism of the ADRB3 gene associated with maximal fat oxidation and LDL-C levels in non-obese adolescents. J Pediatr (Rio J). 94:425-31;
Corella D., et al. (2007) The −256T>C Polymorphism in the Apolipoprotein A-II Gene Promoter Is Associated with Body Mass Index and Food Intake in the Genetics of Lipid Lowering Drugs and Diet Network Study. Clinical Chemistry, 53 (6) 1144-52;
Smith, C. E., et al. (2015) Apolipoprotein A-II polymorphism: relationships to behavioural and hormonal mediators of obesity. International journal of obesity; vol. 36,1 (2012): 130-6;
Corella D., et al. (2007) APOA5 gene variation modulates the effects of dietary fat intake on body mass index and obesity risk in the Framingham Heart Study. J Mol Med; 85:119–28;
Sánchez-Moreno C., et al. (2011) APOA5 Gene Variation Interacts with Dietary Fat Intake to Modulate Obesity and Circulating Triglycerides in a Mediterranean Population. The Journal of Nutrition; Volume 141, Issue 3, Pages 380–85;
Albala C., et al. (2004) Intestinal FABP2 A54T Polymorphism: Association with Insulin Resistance and Obesity in Women. Obesity Research, 12: 340-45;
Lefevre M., et al. (2005) Comparison of the acute response to meals enriched with cis- or trans-fatty acids on glucose and lipids in overweight individuals with differing FABP2 genotypes. Metabolism - Clinical and Experimental, Volume 54, Issue 12, 1652-58;
Park S. L., et al. (2013) Association of the FTO Obesity Risk Variant rs8050136 With Percentage of Energy Intake From Fat in Multiple Racial/Ethnic Populations: The PAGE Study, American Journal of Epidemiology, Volume 178, Issue 5, Pages 780–790;
Drabsch T., et al. (2018) Associations between Single Nucleotide Polymorphisms and Total Energy, Carbohydrate, and Fat Intakes: A Systematic Review. Advances in Nutrition, Volume 9, Issue 4, Pages 425–53;
Garenc C., et al. (2001) Evidence of LPL gene-exercise interaction for body fat and LPL activity: the HERITAGE Family Study. Journal of applied physiology (Bethesda, Md. : 1985). 91. 1334-40;
Blazek M. A., et al. (2013) Exercise-mediated changes in high- density lipoprotein: Impact on form and function. American Heart Journal; Volume 166, Issue 3, Pages 392-400;
Shatwan I. M., et al. (2016) Impact of lipoprotein lipase gene polymorphism, S447X, on postprandial triacylglycerol and glucose response to sequential meal ingestion. International Journal of Molecular Sciences, 17(3), [397];
Hinney A., Vogel C.I.G. & Hebebrand J. (2010) From monogenic to polygenic obesity: recent advances. Eur Child Adolesc Psychiatry. 19: 297;
Rankinen T., et al. (2010) FTO Genotype Is Associated With Exercise Training–induced Changes in Body Composition. Obesity, 18: 322-26;
Analysierte Gene (DNA PREVENTION TEST)
Assoziationen zwischen den getesteten SNPs in myDNA NutriWell und der Ergebnisanalyse (DNA PREVENTION TEST PDF Report).

Quelle

Ferrucci L et al. Common variation in the beta-carotene 15,15'-monooxygenase 1 gene affects circulating levels of carotenoids: a genome-wide association study. Am J Hum Genet. 2009 Feb;84(2):123-33. Epub 2009Jan 29.
Mondul AM et al. Genome-wide association study of circulating retinol levels. Hum Mol Genet. 2011 Dec 1;20(23):4724-31. Epub 2011 Aug 30.
Debs R et al. Biotin-responsive basal ganglia disease in ethnic Europeans with novel SLC19A3 mutations. Arch Neurol. 2010 Jan;67(1):126-30.
Mosegaard S et al. An intronic variation in SLC52A1 causes exon skipping and transient riboflavin-responsive multiple acyl-CoA dehydrogenation deficiency. Mol Genet Metab. 2017 Dec;122(4):182-188. Epub 2017 Nov 2.
Shi H et al. NAD Deficiency, Congenital Malformations, and Niacin Supplementation. N Engl J Med. 2017 Aug 10;377(6):544-552.
Daugherty M et al. Complete reconstitution of the human coenzyme A biosynthetic pathway via comparative genomics. J Biol Chem. 2002 Jun 14;277(24):21431-9. Epub 2002 Mar 28.
Leonardi R et al. Modulation of pantothenate kinase 3 activity by small molecules that interact with the substrate/allosteric regulatory domain. Chem Biol. 2010 Aug 27;17(8):892-902.
Hazra A et al. Genome-wide significant predictors of metabolites in the one-carbon metabolism pathway. Hum Mol Genet. 2009 Dec 1;18(23):4677-87.
Keene KL et al. Genetic Associations with Plasma B12, B6, and Folate Levels in an Ischemic Stroke Population from the Vitamin Intervention for Stroke Prevention (VISP) Trial. Front Public Health. 2014 Aug 6;2:112.
Hsu RH et al. Genotypic and phenotypic correlations of biotinidase deficiency in the Chinese population. Orphanet J Rare Dis. 2019 Jan 7;14(1):6.
Keene KL et al. Genetic Associations with Plasma B12, B6, and Folate Levels in an Ischemic Stroke Population from the Vitamin Intervention for Stroke Prevention (VISP) Trial. Front Public Health. 2014 Aug 6;2:112.
Lin X et al. Genome-wide association study identifies novel loci associated with serum level of vitamin B12 in Chinese men. Hum Mol Genet. 2012 Jun 1;21(11):2610-7.
Tanaka T et al. Genome-wide association study of vitamin B6, vitamin B12, folate, and homocysteine blood concentrations. Am J Hum Genet. 2009 Apr;84(4):477-82.
Senthilkumari S et al. Polymorphisms in sodium-dependent vitamin C transporter genes and plasma, aqueous humor and lens nucleus ascorbate concentrations in an ascorbate depleted setting. Exp Eye Res. 2014 Jul;124:24-30.
Timpson NJ et al. Genetic variation at the SLC23A1 locus is associated with circulating concentrations of L-ascorbic acid (vitamin C): evidence from 5 independent studies with 15,000 participants. Am J Clin Nutr. 2010 Aug;92(2):375-82.
Ahn J et al. Genome-wide association study of circulating vitamin D levels. Hum Mol Genet. 2010 Jul 1;19(13):2739-45. Epub 2010 Apr 23.
Moy KA et al. Genome-wide association study of circulating vitamin D-binding protein. Am J Clin Nutr. 2014 Jun;99(6):1424-31. Epub 2014Apr 16.
Major JM et al. Genome-wide association study identifies common variants associated with circulating vitamin E levels. Hum Mol Genet. 2011 Oct 1;20(19):3876-83. Epub 2011 Jul 5.
Major JM et al. Genome-wide association study identifies three common variants associated with serologic response to vitamin E supplementation in men. J Nutr. 2012 May;142(5):866-71. Epub 2012 Mar 21.
Dashti HS et al. Meta-analysis of genome-wide association studies for circulating phylloquinone concentrations. Am J Clin Nutr. 2014 Dec;100(6):1462-9. Epub 2014Oct 8.
O'Seaghdha CM et al. Common variants in the calcium-sensing receptor gene are associated with total serum calcium levels. Hum Mol Genet. 2010 Nov 1;19(21):4296- 303. Epub 2010 Aug12.
O'Seaghdha CM et al. Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations. PLoS Genet. 2013;9(9):e1003796. Epub 2013 Sep 19.
Benyamin B et al. Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis. Nat Commun. 2014 Oct 29;5:4926.
Pichler I et al. Identification of a common variant in the TFR2 gene implicated in the physiological regulation of serum iron levels. Hum Mol Genet. 2011 Mar 15;20(6):1232- 40. Epub 2010 Dec 28.
Meyer TE et al. Genome-wide association studies of serum magnesium, potassium, and sodium concentrations identify six Loci influencing serum magnesium levels. PLoS Genet. 2010 Aug 5;6(8). pii: e1001045.
Tin A et al. Genetic loci for serum magnesium among African-Americans and gene environment interaction at MUC1 and TRPM6 in European-Americans: the Atherosclerosis Risk in Communities (ARIC) study. BMC Genet. 2015 May 29;16:56.
Cornelis MC et al. Genome-wide association study of selenium concentrations. Hum Mol Genet. 2015 Mar 1;24(5):1469-77. Epub 2014 Oct24.
Kayaalti Z et al. The potential effect of metallothionein 2A -5A/G single nucleotide polymorphism on blood cadmium, lead, zinc and copper levels. Toxicol Appl Pharmacol. 2011 Oct 1;256(1):1-7. Epub 2011 Jul 13.
Ng E et al. Genome-wide association study of toxic metals and trace elements reveals novel associations. Hum Mol Genet. 2015 Aug 15;24(16):4739-45. Epub 2015 May29.
Fischer A et al. Association between genetic variants in the Coenzyme Q10 metabolism and Coenzyme Q10 status in humans. BMC Res Notes. 2011 Jul 21;4:245.
Chambers JC et al. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma. Nat Genet. 2011 Oct 16;43(11):1131-8.
Kim YJ et al. Large-scale genome-wide association studies in East Asians identify new genetic loci influencing metabolic traits. Nat Genet. 2011 Sep 11;43(10):990-5.
Wu JH et al. Genome-wide association study identifies novel loci associated with concentrations of four plasma phospholipid fatty acids in the de novo lipogenesis pathway: results from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. Circ Cardiovasc Genet. 2013 Apr;6(2):171-83.
Dorajoo R et al. A genome-wide association study of n-3 and n-6 plasma fatty acids in a Singaporean Chinese population. Genes Nutr. 2015 Nov;10(6):53. Epub 2015 Nov 19.
Guan W et al. Genome-wide association study of plasma N6 polyunsaturated fatty acids within the cohorts for heart and aging research in genomic epidemiology consortium. Circ Cardiovasc Genet. 2014 Jun;7(3):321-331. Epub 2014 May 13.
Molti Puigmarti C et al. FADS1 FADS2 gene variants modify the association between fish intake and the docosahexaenoic acid proportions in human milk. Am J Clin Nutr. 2010 May;91(5):1368-76.

Newsletter abonnieren
und 10% Rabatt erhalten

Eine Abbestellung ist jederzeit über den Abmelde-Link im Newsletter möglich.

Nutrition. Personalised.

0
Warenkorb