Food is just the beginning.
The genetic layer of cardiometabolic care. Every patient starts with a diet type they understand, backed by lipid, Lp(a), glucose, and methylation reports you can act on.
A blueprint for every patient
Every patient is matched to one of 20 diet types, built from fat metabolism, ApoE status, carbohydrate response, histamine clearance, and lactose digestion. Patients remember it, and they follow it.
Lp(a), lipoproteins, cholesterol absorption, coronary artery disease, and an insulin resistance score, read together instead of one gene at a time.
Genotype doesn't change. Reports published after a patient tests appear in their account at no extra cost.
The medication ends.
The eating plan shouldn't.
In the STEP 1 trial extension, patients regained about two-thirds of their weight loss within a year of stopping semaglutide, and most cardiometabolic improvements drifted back toward baseline. Gene Food gives every patient a long-term eating plan built on how their genes handle fat, carbohydrates, and cholesterol, whether they stay on therapy or step down.
Wilding et al., Diabetes, Obesity and Metabolism, 2022Organized the way you think clinically
ApoE genotype and what it implies for saturated fat and dietary cholesterol response.
A genetic score flagging patients to prioritize for serum Lp(a) measurement.
Particle-level tendencies behind LDL-P and ApoB, scored polygenically.
Whether a patient may absorb dietary cholesterol efficiently, and who warrants a sterol panel.
Polygenic risk context for CAD across replicated GWAS variants.
Genetic tendency toward hypertension, including sodium sensitivity.
Genetic contribution to autonomic tone, useful when reading wearable HRV data.
Variants associated with aspirin response in primary prevention.
How strongly a patient’s lipids are likely to respond to saturated fat intake.
One of 20 diet types with macronutrient targets, built from six scored systems.
Carbohydrate clearance and glycemic response tendency.
Total fat tolerance, and the split between saturated and unsaturated sources.
A combined read on whether a low-carbohydrate approach suits this genotype.
Whether a ketogenic approach is metabolically plausible for this patient.
Genetic tendency toward elevated uric acid and its dietary triggers.
How efficiently a patient clears nitrogen, relevant to high-protein diets.
Genetic contribution to circulating testosterone, read alongside serum values.
Celiac risk haplotypes (HLA-DQ2/DQ8) and non-celiac gluten sensitivity markers.
Lactase persistence genotype, which drives whether dairy works as a staple.
Histamine clearance capacity, relevant to aged, fermented, and leftover food.
Sulfur processing, relevant to cruciferous vegetables, garlic, and eggs.
ADH and ALDH variants behind flushing and alcohol clearance rate.
CYP1A2 clearance rate, and the cardiovascular context that goes with it.
Adenosine receptor variants behind caffeine-related anxiety and disrupted sleep.
The full pathway scored together: MTHFR, MTR, MTRR, CBS, and folate transport.
Enzyme function as a percentage, not a broken-gene verdict.
Choline requirement, relevant to hepatic fat and to pregnancy.
Absorption and transport tendencies, and which form of B12 suits this patient.
B6 requirement and conversion efficiency.
Riboflavin need, which modifies the effect of MTHFR variants.
Baseline vitamin D tendency and likely response to supplementation.
Beta-carotene to retinol conversion efficiency, and who needs preformed vitamin A.
Iron loading and depletion tendencies, including hemochromatosis variants.
Magnesium status tendency and dietary sources that suit this patient.
Variants linking magnesium status to restless leg symptoms.
Zinc transport and the intake level likely needed to maintain status.
Salt sensitivity and its bearing on blood pressure management.
Genetic morningness or eveningness, useful for meal and medication timing.
Polygenic sleep quality, read alongside reported sleep and wearable data.
Polygenic insomnia risk and the lifestyle levers that matter most.
KLOTHO-VS heterozygosity and what the cognition research shows.
Genetically predicted telomere length, with its interpretive limits stated.
Variants associated with barrier function and microbiome composition.
Fiber-type and recovery variants that shape training prescription.
COMT activity and how a patient processes catecholamines under stress.
Variants affecting cannabinoid metabolism and sensitivity.
Variants relevant to NSAID clearance and gastrointestinal risk.
Genetic contribution to osteoarthritis and inflammatory joint disease.
Methylation capacity read specifically for environmental exposure load.
GST and related variants behind phase II detoxification capacity.
SOD and catalase variants behind antioxidant capacity.
Susceptibility to oxidative damage of circulating lipids.
Variants affecting response to mycotoxin and damp-building exposure.
Genetic allergy sensitivity, paired with the daily pollen forecast.
Environmental and dietary exposures relevant to colonic tissue.
Requirement for the two antioxidant vitamins under exposure load.
Daily local air quality and pollen, matched to the patient’s sensitivity scores.
Genetic context for the tests you already order
A genetic score that flags patients to prioritize for serum Lp(a), a marker still under-ordered in routine practice.
An 18-variant polygenic score for insulin resistance and type 2 diabetes risk, included in every test. Use it to decide which patients justify a continuous glucose monitor.
Genetic context on whether a patient may absorb dietary cholesterol efficiently, to help decide who warrants a sterol panel and which dietary levers matter most.
Genetic results indicate tendencies, not measurements. They complement laboratory testing.
GWAS-first. Polygenic. Graded by evidence.
Most nutrigenomics tests start with a list of popular genes. We start with genome-wide association studies, score variants together, and show you how strong the evidence is behind every result.
We prioritize variants replicated in large genome-wide association studies, not single-gene findings from small cohorts. Our Environment reports, for example, draw on studies of 6,000 to 52,000 participants per finding.
A patient carrying one MTHFR C677T allele doesn't have a broken pathway. They have a percentage of enzyme function that only means something alongside the rest of their genotype, so we score variants together.
Every variant carries a Science Grade from 1 to 10, built on three research cornerstones: health impact, mechanism of action, and clinical benefit. A 10 means a fully validated SNP with an experimentally validated mechanism and repeatable clinical-trial evidence. A 1 means an identified SNP and nothing more. Strong evidence counts for more; thin evidence counts for less.
The Science Grade scale
Hover a score.Tap a score.
Validated SNP with an experimentally supported mechanism, and evidence of benefit in human models or clinical trials.
Association with health impact established; mechanism clear but untested, or supported only in non-human models.
Identified SNP with an unclear mechanism and little or no established link to health impact.
Scores combine three research cornerstones: health impact, mechanism of action, and clinical benefit. We use the same scale to rate the studies we cite and the products we review. How the Science Grade works →
Early outcomes research: in a 2020 clinic study, patients on a genetically tailored diet maintained significantly more weight loss at 18 months than a ketogenic group (non-randomized). Read the study →
How it works
- 1Request a demo and we’ll set your practice up.
- 2Order kits at wholesale, or have patients upload 23andMe or Ancestry data.
- 3Patients swab at home and mail the kit to our CLIA-certified lab in Houston.
- 4Results in about 3.5–4 weeks from lab receipt. Review every patient in one dashboard and export PDFs.
Wholesale pricing scales with volume
Tell us about your practice and we'll put together a proposal.
Lifetime access for every patient. No subscription, no per-report charge, and reports published after a patient tests appear in their account at no cost.
Request a demo
A short call: we walk through a real patient report, answer clinical questions, and price kits for your volume.
Prefer to talk now? Call 307-289-4369.
Questions
A cheek swab the patient does at home. No blood draw, no fasting, no clinic visit. The kit ships with a prepaid return mailer addressed to our CLIA-certified lab in Houston.
We score 251 variants across 47 reports, selected because they replicate in large genome-wide association studies rather than because they are well known. The full variant list by report is in your Pro dashboard, and every result carries a Science Grade showing how strong the evidence behind it is.
About 3.5 to 4 weeks from the day the lab receives the sample. Patients are notified when results are ready, and every report appears in your Pro dashboard at the same time.
Genetic data is stored encrypted and is never sold or shared with third parties for marketing or research without explicit consent. Patients can request deletion of their data and sample at any time.
Yes. Patients can purchase at retail and link their results to your practice, or you can order kits at wholesale and distribute them yourself. Either way the results land in the same dashboard.
Kits ship within the United States, excluding New York. International patients can upload existing 23andMe or Ancestry raw data instead and receive the full report set.
Food is just the beginning.
Give every new patient a genetic blueprint.
Questions? Call 307-289-4369 or contact us