APOE, FOXO3, SIRT1, and mitochondrial efficiency variants. From longevity pathway genetics to cellular resilience protocols.
ACTN3 muscle fiber profile, ACE VO2 potential, PPARGC1A aerobic adaptation. Train to your genotype.
Carbohydrate tolerance, fat metabolism, folate cycle, omega-3 conversion, and lactose processing genetics.
MTHFR B-vitamin status, VDR vitamin D metabolism, SOD2 antioxidant capacity. Supplementation based on what you actually need.
CYP450 metabolizer phenotypes, transporter genetics, adverse reaction risk. The most clinically validated genomic domain.
COMT, MAOA, SLC6A4, BDNF variants — serotonin, dopamine, and stress resilience profiling.
CLOCK, PER2, CYP1A2 caffeine metabolism, and melatonin processing. Chronotype, deep sleep optimization, and recovery.
FTO, MC4R, ADRB3, TCF7L2 insulin response. Diet genotype match, satiety signaling, and metabolic rate genetics.
COL1A1/COL1A2 collagen structure, MMP1 remodeling, pigmentation and oxidative stress variants.
APOE, PCSK9, ACE, IL6 — the three primary genetic axes of cardiovascular risk, fully profiled.
CYP1A1, CYP1B1, COMT estrogen pathways, ESR1 receptor sensitivity, bone density genetics.
MTHFR folate efficiency, ovarian reserve markers, implantation factors. Genomic-informed fertility support protocols.
HLA variants, IL6, TNF, innate immune pathway genetics. Inflammatory tendency and immune optimization profiles.
The same knowledge base, matching engine, and AI layer powers every health domain. Partners who start in one vertical can expand to others without re-integration — the genomic data your user provides once covers all of it.
Tell us about your use case. We'll walk you through the relevant domain coverage and what integration looks like for your product architecture.