APOE allele status is the strongest genetic predictor of late-onset disease risk and a core longevity marker. FOXO3 variants associate with exceptional longevity in multiple independent cohorts. SIRT1 influences metabolic regulation and stress response pathways central to healthspan.
SOD2, CAT, GPX1, and XRCC1 variants govern antioxidant capacity and DNA repair efficiency — two of the most replicated hallmarks of biological aging. Variation in these genes correlates with differential aging rates and resilience under oxidative burden.
PPARGC1A (PGC-1α) is the master regulator of mitochondrial biogenesis. Variants in this gene and downstream targets influence energy production efficiency, exercise response, and the trajectory of metabolic aging — a key lever in longevity protocols.
Chronic low-grade inflammation — "inflammaging" — is a central mechanism of biological aging. IL6, TNF, and CRP pathway variants determine baseline inflammatory tone and the rate at which cellular senescence accumulates over time.
The one-carbon metabolic cycle governs DNA methylation, a core epigenetic aging clock. MTHFR and COMT variants affect methylation capacity and neurotransmitter clearance — influencing both epigenetic aging rate and supplement protocol design.
PCSK9, APOE, and ACE variants inform cardiovascular longevity risk. Identifying these early allows lifestyle and supplementation interventions to be targeted at the actual genetic risk profile rather than population-level guidelines.
A structured multi-variant profile covering the primary genomic axes of aging — APOE status, oxidative stress capacity, inflammatory tone, and methylation efficiency. Evidence-graded, with confidence scores on every finding.
9,017+ personalized actions include longevity-specific recommendations across supplementation (NAD+ precursors, antioxidants, methylation support), lifestyle (caloric restriction response, exercise modality), and monitoring priorities.
Longevity is a cross-domain use case. The GeneOps engine covers nutrition, fitness, sleep, cardiovascular, mental health, and immune domains simultaneously — providing a comprehensive healthspan picture from a single integration.
Users can explore their longevity profile in natural language — asking about specific variants, understanding mechanisms, and receiving cited answers. The AI layer is grounded in structured data, not general-purpose inference.
Walk us through your longevity product and audience. We'll show you the specific coverage and what integration looks like for your use case.