Supplementation based on
what you actually need

Most supplement recommendations ignore the genetic variables that determine whether a supplement is necessary, beneficial, or redundant. GeneOps closes that gap — surfacing need, bioavailability, and optimal form based on the specific variants that matter for each micronutrient pathway.

Discuss This Use Case ← All Use Cases

The genetics behind
supplement need and response

B vitamins and methylation

MTHFR — folate and B12 metabolism

MTHFR C677T and A1298C reduce enzyme activity by up to 70% in homozygotes, impairing conversion of folic acid to 5-methyltetrahydrofolate. This directly affects B12 utilization, homocysteine clearance, and DNA methylation capacity — the most impactful and testable supplement genetics finding.

Vitamin D

VDR and GC — absorption and transport

VDR (receptor) and GC (binding protein) variants determine how efficiently vitamin D is activated, transported, and utilized. Low-function genotypes require significantly higher supplemental doses to reach optimal serum levels — a straightforward, clinically actionable finding.

Antioxidants

SOD2 and CAT — endogenous antioxidant capacity

SOD2 (superoxide dismutase) and CAT (catalase) variants reduce cellular antioxidant enzyme activity — increasing oxidative stress load and the benefit derived from dietary and supplemental antioxidants. The genetic case for or against high-dose antioxidant supplementation.

Omega-3 conversion

FADS1/FADS2 — conversion efficiency

Low-activity FADS variants impair the conversion of plant-based ALA to the long-chain EPA and DHA used by the brain and cardiovascular system. This makes marine-source or algae-based omega-3 supplementation physiologically necessary, not optional, for affected genotypes.

Magnesium

TRPM6/TRPM7 — magnesium transport

Variants in TRPM6 and TRPM7 affect magnesium reabsorption in the kidney and intestinal uptake — determining baseline magnesium status independent of dietary intake. The genetic baseline for a mineral that influences sleep, blood pressure, and muscle function.

Iron metabolism

HFE and TMPRSS6 — iron handling

HFE variants (C282Y, H63D) affect hepcidin regulation and iron absorption — covering both the clinically significant hemochromatosis risk and the supplementation-relevant iron absorption efficiency that affects athletic performance and energy levels.

Supplement intelligence
structured for your product

Need score per supplement category

Structured need assessment for each major supplement category — B vitamins, vitamin D, omega-3s, antioxidants, magnesium, iron, and more. Based on the specific genetic variants that determine whether supplementation is likely to produce measurable benefit.

Form and bioavailability guidance

Where genetics affects which supplement form is absorbed or utilized — methylfolate vs folic acid, cholecalciferol vs ergocalciferol, marine vs plant omega-3 — the GeneOps engine surfaces form-specific recommendations rather than generic dosing guidance.

Priority stack guidance

Ranked supplement priorities by genetic need — so users and clinicians know which supplements are addressing a genuine genetic insufficiency and which are likely redundant. A framework for cutting through supplement noise with biological precision.

Integration with nutrition and health domains

Supplement recommendations connect seamlessly with the nutrition, fitness, sleep, and mental health domains — ensuring that supplement protocols are coherent across the user's full genetic profile rather than domain-isolated recommendations.

Genomic precision
for your supplement brand

Whether you're a supplement company, a personalized nutrition platform, or a wellness product that wants to move beyond generic recommendations — let's talk about what genomic intelligence looks like in your context.

Get in Touch Nutrition Use Case →