DNA is the genetic material that carries information about how your body looks and functions.
Your Genes are specific areas on your DNA that provide your body with instructions. These instructions affect the function of your body’s tissues and organs. They also affect the way your body processes the food you eat.
Many of our genes are the same, but there are specific locations where our genes differ. These locations are called SNPs, or single nucleotide polymorphisms. SNPs are distinguished by a difference in a single nucleotide (A,C,T,G). These nucleotides are the building blocks of DNA.
At GenoPalate, we analyze 100+ SNPs that directly impact how your body processes food.
Small variants in your genes can lead to drastic differences in the way your body processes food. They influence how you metabolize nutrients and absorb certain vitamins.
Our genetic analysis provides you with your unique genotypes for important nutrition related genes. These results show you the single nucleotide differences that make up your SNPs. Research has shown positive health outcomes when people with certain genotypes consume certain nutrient levels. We use this information to determine your recommended intake of 20+ nutrients.
We complete a nutritional analysis of hundreds of foods. We then provide you with those foods that have a nutrition profile that matches best with your genetic-based nutrition recommendations.
Your Genes + Nutritional Science = Your Foods
By combining your genotype results, nutrition recommendations and the nutrient composition of foods, we are able to provide you with a comprehensive list of foods that all have the highest amount of the nutrients that benefit you most.
We only apply evidence-based research from high-impact clinical trials and population studies that directly link positive health outcomes with nutritional genomics.
Our lab is certified by Clinical Laboratory Improvement Amendments (CLIA), that regulate and ensure quality laboratory testing certified by the state and Center for Medicare and Medicaid services (CMS).
Your privacy is our priority. Your data is completely de-identified and encrypted in our database and is carefully disposed of by our lab after it has been used to generate your report.
Explore Some of Our Research ➕
1) “Several type 2 diabetes-associated variants in genes annotated to WNT signaling interact with dietary fiber in relation to incidence of type 2 diabetes”. Hindy G, Mollet IG, Rukh G, Ericson U, Orho-Melander M. Genes Nutr. 2016 Mar 21;11:6. doi: 10.1186/s12263-016-0524-4. eCollection 2016.
2) “Vitamin D metabolism-related genetic variants, dietary protein intake and improvement of insulin resistance in a 2 year weight-loss trial: POUNDS Lost”. Qi Q, Zheng Y, Huang T, Rood J, Bray GA, Sacks FM, Qi L. Diabetologia. 2015 Dec;58(12):2791-9. doi: 10.1007/s00125-015-3750-1. Epub 2015 Sep 29.
3) “The nutrigenetic influence of the interaction between dietary vitamin E and TXN and COMT gene polymorphisms on waist circumference: a case control study”. Mansego ML, De Marco G, Ivorra C, Lopez-Izquierdo R, Morcillo S, Rojo-Martínez G, González-Albert V, Martinez F, Soriguer F, Martín-Escudero JC, Redon J, Chaves FJ.
J Transl Med. 2015 Sep 2;13:286. doi: 10.1186/s12967-015-0652-4.
4) “Systematic review and meta-analysis of the association between IL18RAP rs917997 and CCR3 rs6441961 polymorphisms with celiac disease risks”. Yang G, Zhang B, Huang W, Zhang N, Dong F, Jing L, Wang M, Liu Y, Guo C, Pan H, Wei X, Jing C. Expert Rev Gastroenterol Hepatol. 2015;9(10):1327-38. doi: 10.1586/17474124.2015.1075880. Epub 2015 Aug 8. Review.
5) “Dietary Fat Intake Modifies the Effect of a Common Variant in the LIPC Gene on Changes in Serum Lipid Concentrations during a Long-Term Weight-Loss Intervention Trial”. Xu M, Ng SS, Bray GA, Ryan DH, Sacks FM, Ning G, Qi L. J Nutr. 2015 Jun;145(6):1289-94. doi: 10.3945/jn.115.212514. Epub 2015 Apr 29.
6) “Adiponectin gene variant interacts with fish oil supplementation to influence serum adiponectin in older individuals”. Alsaleh A, Crepostnaia D, Maniou Z, Lewis FJ, Hall WL, Sanders TA, O'Dell SD; MARINA study team. J Nutr. 2013 Jul;143(7):1021-7. doi: 10.3945/jn.112.172585. Epub 2013 May 8.
7) “Genetic determinant for amino acid metabolites and changes in body weight and insulin resistance in response to weight-loss diets: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial”. Xu M, Qi Q, Liang J, Bray GA, Hu FB, Sacks FM, Qi L. Circulation. 2013 Mar 26;127(12):1283-9. doi: 10.1161/CIRCULATIONAHA.112.000586. Epub 2013 Feb 27.
8) “APOA5 genotype modulates 2-y changes in lipid profile in response to weight-loss diet intervention: the Pounds Lost Trial”. Zhang X, Qi Q, Bray GA, Hu FB, Sacks FM, Qi L. Am J Clin Nutr. 2012 Oct;96(4):917-22. Epub 2012 Aug 22.
9) “Weight-loss diets modify glucose-dependent insulinotropic polypeptide receptor rs2287019 genotype effects on changes in body weight, fasting glucose, and insulin resistance: the Preventing Overweight Using Novel Dietary Strategies trial”. Qi Q, Bray GA, Hu FB, Sacks FM, Qi L. Am J Clin Nutr. 2012 Feb;95(2):506-13. doi: 10.3945/ajcn.111.025270. Epub 2012 Jan 11.
10) “Role of TCF7L2 risk variant and dietary fibre intake on incident type 2 diabetes”. Hindy G, Sonestedt E, Ericson U, Jing XJ, Diabetologia 2012 Oct;55(10):2646-2654. doi: 10.1007/s00125-012-2634-x. Epub 2012 Jul 11.
11) “Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low”. Ortega-Azorín C, Sorlí JV, Asensio EM, Coltell O Cardiovasc Diabetol 012 Nov 6;11:137. doi: 10.1186/1475-2840-11-137
12) “Total zinc intake may modify the glucose-raising effect of a zinc transporter (SLC30A8) variant: a 14-cohort meta-analysis”. Kanoni S, Nettleton JA, Hivert MF, Ye Z, van Rooij FJ, et al, Diabetes. 2011 Sep;60(9):2407-16. doi: 10.2337/db11-0176. Epub 2011 Aug 1.
Meet Our Scientists
Sherry Zhang Ph.D
Paul Auer Ph.D
Rajni Nigam MS, MBA
Kayla Droessler MS,RD,CD
Director of Nutritional Science
Matt Edwards RD, CSP, CD
Director of Nutritional Science
Still have Questions?
What is the science behind GenoPalate? +
We analyze over 100+ genetic markers that influence how your body metabolizes different nutrients. We then combine your genetic results with research on nutritional genomics to determine your recommended intake level for carbohydrates, protein, fat, vitamins and minerals. We base your recommendations on evidence-based research correlating your genetic variants with nutrition that’s shown positive health outcomes. We also provide insights on your sensitivity to lactose and gluten, and your metabolic rate of caffeine and alcohol.
How do you connect my genes and nutrition recommendations? +
GenoPalate uses evidence-based research from high-impact clinical trials and studies of nutritional and health outcomes genomics to form our recommendations. From these scientific conclusions, we recommend the foods that have the highest amount of nutrients that your genotypes have shown to benefit from.
What is a genotype? +
You have two copies of each gene, one from your mom and one from your dad. Your genotype refers to the two nucleotides (A, C, G, or T) found at the same location on each copy of a gene.
What is the process for providing my DNA information? +
We collect a saliva sample using a DNA collection swab to gather your DNA information. After purchasing, you will receive a kit with everything you need for the sample collection.
What happens to my sample at the lab? +
Our lab, which is certified by the Clinical Laboratory Information Amendment (CLIA), extracts the DNA from your saliva. Your DNA then goes onto what’s called a microarray. This array reveals your genotype for nutrition-related biomarkers, which we analyze in order to get your personal nutrition recommendations.
What nutritional insights will the report provide me? +
Your GenoPalate report will provide insights into your recommended macronutrient (carbohydrates, protein and fat) intake and micronutrient (vitamin and mineral) intake. You will also receive “Your Foods” which includes a list of over 85 foods that you may benefit from eating more of, based on your genetic results.
Can this report detect my food allergies? +
There are no genetic assays for detecting food allergies through DNA. This is due to food allergies, such as egg, peanut, shellfish, etc., not being caused by genetic variants, but instead caused by live, autoimmune factors. Although some allergies are genetic, they are genetic in the immune system rather than in the actual DNA.