The domains where genomic data most directly informs clinical decision-making — from pharmacogenomics to longevity protocols and patient engagement.
CYP450 metabolizer status, drug transporter variants, and adverse reaction risk profiles — surfaced before prescribing decisions. Coverage of the most clinically impactful drug-gene interactions with full citation traceability.
Across fitness, nutrition, supplements, sleep, and cardiovascular health — the GeneOps engine surfaces personalized protocols for each patient. Evidence-graded and continuously updated as research advances.
MTHFR status, vitamin D metabolism, omega-3 conversion efficiency, and carbohydrate tolerance — the variants that shape nutritional needs and allow clinicians to move beyond generic dietary guidelines.
APOE, PCSK9, ACE, and inflammatory variant profiles — providing a genomic layer to cardiovascular risk stratification that complements traditional biomarker panels.
COMT, MAOA, SLC6A4, and BDNF variants — informing supplementation, lifestyle, and prescribing decisions for patients with mood, anxiety, and cognitive concerns.
The white-label patient portal gives patients a conversational, evolving genomic health resource — driving retention, compliance, and the quality of clinical conversations.
Every finding in the GeneOps knowledge base meets the criteria a clinician would apply: peer-reviewed source, defined study design, quantified effect, and explicit confidence grade.
The research substrate spans 6,520+ peer-reviewed publications. Every variant-phenotype association is sourced, graded, and linked to its primary citation. Nothing enters the knowledge base without a qualifying study.
Each finding carries an explicit confidence grade based on replication, effect size, and study quality. Clinicians and patients see not just what the research says, but how strongly the evidence supports it.
All 1477+ SNPs are verified against the dbSNP reference database, annotated in HGVS notation, and consistently cross-referenced to ensure identity across datasets and file formats.
The knowledge base is not a static release. As new research is published, existing entries are reviewed, updated, or re-graded. Contradictory evidence is handled explicitly — not ignored. Read the methodology →
We'll walk through the clinical applications most relevant to your practice, the integration options, and what deployment looks like for your patient population.