A growing body of scientific research is confirming what many of us have always known intuitively. There is no “one size fits all” when it comes to diet.
While DNA has a large role to play in personalizing nutrition, it is not the only factor. The best personalized nutrition regimens tailor diet, lifestyle, and exercise to genetic predispositions, and that is what we do at Gene Food. For example, we know that 50% of the post-meal blood sugar response is genetically determined, however, sleep and exercise also play a role. By pairing nutrition insights with sleep chronotype and exercise tips, we offer a comprehensive approach. Our job is to highlight the most important genetic markers that impact on food choices so our customers can better understand why one diet may work for them, while another likely won’t. In order to do this, we evaluate hundreds of peer reviewed studies and evaluate the research using a scoring system we call Science Grade. Genes with the most scientific validation receive the greatest weight in our algorithm, whereas genes with less research receive less weight. Our research team utilizes an inclusive research process which ensures that the health impact for underrepresented communities, the elderly, women, and people of color are all factored into the research behind our products and our content.
Our Scoring System
In Defense of DNA diets
Have you been Googling “do DNA diets work?”
If you have, you may have found an article written by Scientific American titled “Matching DNA to a Diet Does Not Work.”
DNA Diets: breaking down the scientific evidence
There is not one uniform DNA diet or one gene that determines health outcomes, and yet many of the studies billed as “DNA diet studies” look only at a single gene. At Gene Food, we use a comprehensive, and ethnically inclusive approach, to assign genetic risk scores based on multiple genes and studies. Below, we list several of the most significant studies in our database.
Important Studies on DNA Diets
When evaluating the studies below several factors were considered. Repeatability of the studies, sample population sizes, assessment of outcomes in control individuals vs. variant-carrying individuals, test statistic values for associations between genetic pathways and phenotypes, interpretation of results, and quality of genotyping in the study methods were among the primary criteria in selecting these genes.
|Interaction of PPARG Pro12Ala with dietary fat influences plasma lipids in subjects at cardiometabolic risk||Journal of Lipid Research; published by the American Society for Biochemistry and Molecular Biology||PPARG||Cholesterol||PPARG-ProAla12 carriers tend to have higher mean total cholesterol and LDL-cholesterol concentrations on higher saturated fat diets than noncarriers.|
|APOA II genotypes frequency and their interaction with saturated fatty acids consumption on lipid profile of patients with type 2 diabetes||Clinical Nutrition||APOA2||Lipid metabolism||With the APOA2 rs5058 ‘G’ allele variant indicative of poor lipid outcomes, especially in individuals at risk of developing Type 2 diabetes, those with the variant showed improved lipid outcomes comparable to individuals with the normal ‘A’ allele after being put on a diet with reduced saturated fat and carbohydrate consumption.|
|Apolipoprotein E phenotype regulates cholesterol absorption in healthy 13-month-old children–The STRIP Study||Pediatric Research||APOE||Cholesterol||Children with the apoE4 polymorphism have higher serum concentrations of diet-introduced plant sterols in early childhood than children who had the apoE 3/3 variant; a low-fat diet can reduce the risk of high serum cholesterol for individuals with the APOE4 polymorphism|
|Biomarkers of cholesterol homeostasis in a clinical laboratory database sample comprising 667,718 patients||Journal of Clinical Lipidology||APOE||Cholesterol||Among carriers with different APOE variants, those with the APOE ε4 allele were found to have higher prevalence of cholesterol hyperabsorption than individuals with other variants; this information can help physicians and nutritionists advise individuals with the higher-risk variant to switch to lipid-lowering diets.|
|Large-scale association analysis identifies new risk loci for coronary artery disease||Nature Genetics||ABCG8||Cholesterol||At study-wide significance levels, the ‘T’ allele of T322+431C in the ABCG8 gene, was found to be one of several key genetic components in coronary artery disease. As this SNP contributes to increased LDL levels, individuals with this variant may benefit from a diet consisting of lower cholesterol levels and lipid content.|
|C667T and A1298C polymorphisms of methylenetetrahydrofolate reductase gene and susceptibility to myocardial infarction: A systematic review and meta-analysis||International Journal of Cardiology||MTHFR||Myocardial Infarction Risk||MTHFR A1298C polymorphisms were shown to be associated with myocardial infarction risk in African, North American, and elderly populations, while the C667T polymorphism was associated with a 63% increased risk of MI (vs. C667C) in an African population subgrouping, indicating that individuals with these SNPs should consider switching to low-fat diets with increased omega-3 fatty acid consumption to reduce risk of MI.|
C667T Polymorphism: There were a total of 47 case-control studies regarding the C667T polymorphism. Of these 47, there was a single study involving an African population. For the African population, it was shown that the “T” allele of the C667T polymorphism was associated with a 63% increased risk of MI compared to the “C” allele. The I2 (%) for the African subgroup, a measure that describes the percentage of variation across studies that is due to heterogeneity rather than chance, was less than 44% for all 5 models tested.
|Dietary linoleic acid interacts with FADS1 genetic variability to modulate HDL-cholesterol and obesity-related traits||Clinical Nutrition||FADS1||HDL cholesterol||In patients with the FADS1 rs174547 polymorphism, with higher linoleic acid intake there were lower HDL-cholesterol levels observed. Those with this minor allele variant may benefit from lower linoleic acid as part of their diets.|
|Association of single nucleotide polymorphisms in the diamine oxidase gene with diamine oxidase serum activities||European Journal of Allergy and Clinical Immunology||AOC1||Histamine Intolerance||The ‘T’ allele in the C47T SNP of the AOC1 gene has association with histamine intolerance and reduced di-amine oxidase activity; individuals that switched to a diet with minimal consumption of histamine-rich foods noticed improvement in their symptoms that had arisen from histamine intolerance.|
|Histamine and histamine intolerance||The American Journal of Clinical Nutrition||AOC1||Histamine intolerance||DAO activity increases when there is administration of vitamin C and vitamin B6; diets rich in these vitamins can mitigate some of the symptoms that arise from histamine intolerance|
Metabolic and Weight Loss
|PREDICT-1: Human postprandial responses to food and potential for precision nutrition*||Nature Medicine||Multiple||Blood sugar||50% of the post-meal blood sugar response is attributable to genetics. Post-meal triglycerides and insulin less impacted by genetic factors.|
*PREDICT-1 Study gender/demographic makeup: Of the entire cohort of twins, 82% are female, and mean age is 59 (this could signify that age may play a factor in the study results). No information regarding the ethnic backgrounds of the participants in the PREDICT-1 study is provided.