Complete Health Data Vault

The Most Comprehensive Personal Health Intelligence System Ever Built

Your health is more than scattered lab results and fitness tracker data. It's the intricate interplay of your genome, your cellular age, your microbiome ecosystems, your daily behaviors, and your environmental exposures—all converging to determine whether you'll thrive or merely survive the next decades.

Tengrium's Complete Health Data Vault is the first system to aggregate, secure, and intelligently synthesize all layers of your biological reality in one encrypted fortress that you—and only you—control. With military-grade security architecture and zero-knowledge computation, we transform fragmented health data into actionable longevity intelligence.

We don't just collect data. We create a living, dynamic model of your health that predicts disease 10-15 years before symptoms appear, identifies root causes across interconnected biological systems, and generates personalized interventions that measurably reverse biological aging.

🔬 What We Secure: 1,000s of Integrated Biomarkers Across 5 Critical Domains

With unparalleled security, we aggregate all layers of your biology in one encrypted vault you control. Unlike fragmented health apps that measure isolated metrics, Tengrium integrates the complete picture of human health across nine interconnected biological and behavioral domains:

🧬 Genetic - Full genome sequencing + polygenic risk scores for 1,000+ conditions

⏱️ Epigenetic - DNA methylation clocks tracking biological age vs chronological age

🩸 Biometric & Physiological - 400+ biomarkers from blood, saliva, urine revealing metabolic, inflammatory, hormonal, and cellular health

🦠 Microbiome - Gut, oral, and skin microbiome mapping linked to immunity, metabolism, and mental health

🔍 Full-Body Scans - MRI/CT imaging, DEXA scans, coronary calcium scoring detecting disease at subclinical stages

⌚ Behavioral - Continuous wearable data (sleep architecture, HRV, activity, glucose) revealing daily patterns

🌍 Environmental - Air/water quality sensors, allergen/pollution exposure tracking, occupational hazards

🍎 Nutritional - Dietary patterns, nutrient deficiencies, food sensitivity identification, metabolic response tracking

🧠 Mental Health Metrics - Mood, cognition, stress levels, autonomic nervous system function

Your data never exists in plaintext. Every measurement flows through zero-knowledge encryption, federated learning, and hardware-sealed security—making your vault mathematically impossible to breach.

🧬 GENETIC DATA: Your Complete Genomic Blueprint

Your DNA is the instruction manual for every cell in your body, but most people only scratch the surface with ancestry tests. Tengrium sequences and analyzes your entire genome to identify disease risks decades before symptoms appear, optimize medication selection, and uncover rare variants that standard tests miss.

COMPLETE GENOME SEQUENCING

  • 6.4 billion base pairs analyzed across all 23 chromosome pairs

  • Whole genome sequencing (WGS) at 30x coverage depth for clinical-grade accuracy

  • Whole exome sequencing (WES) focusing on protein-coding regions (1.5% of genome responsible for 85% of disease-causing mutations)

  • Mitochondrial DNA sequencing for maternal lineage and metabolic disorders

  • Y-chromosome sequencing for paternal lineage and male-specific health risks (where applicable)

POLYGENIC RISK SCORES (PRS)

  • 1,000+ conditions assessed including cardiovascular disease, 47 cancer types, neurodegenerative disorders, autoimmune diseases, metabolic syndromes

  • Cardiovascular PRS: Coronary artery disease, atrial fibrillation, hypertension, stroke, heart failure

  • Cancer PRS: Breast, prostate, colorectal, lung, pancreatic, melanoma, leukemia, lymphoma

  • Neurodegenerative PRS: Alzheimer's, Parkinson's, ALS, frontotemporal dementia, multiple sclerosis

  • Metabolic PRS: Type 2 diabetes, obesity, dyslipidemia, fatty liver disease, metabolic syndrome

  • Autoimmune PRS: Rheumatoid arthritis, lupus, Crohn's disease, ulcerative colitis, psoriasis, celiac disease

PHARMACOGENOMIC PROFILING

  • 300+ medications analyzed for efficacy and adverse reaction risk

  • CYP450 enzyme variants determining drug metabolism speed (poor, intermediate, normal, ultrarapid metabolizers)

  • Drug-drug interaction predictions based on your genetic variants

  • Optimal dosing recommendations for statins, antidepressants, blood thinners, pain medications, chemotherapy agents

  • Adverse reaction risk assessment for Stevens-Johnson syndrome, malignant hyperthermia, agranulocytosis, hepatotoxicity

RARE VARIANT IDENTIFICATION

  • Pathogenic mutation detection in known disease-causing genes (BRCA1/2, TP53, APOE, PSEN1/2, etc.)

  • Variants of uncertain significance (VUS) flagged for ongoing research monitoring

  • Carrier status screening for 200+ recessive genetic disorders

  • De novo mutation analysis comparing to parental genomes where available

  • Structural variant detection (large deletions, duplications, inversions affecting multiple genes)

ANCESTRY & TRAIT ANALYSIS

  • Genetic ancestry composition across 150+ global populations

  • Neanderthal variant percentage and associated health implications

  • Trait predictions: Eye color, hair texture, caffeine metabolism, lactose tolerance, alcohol flush reaction, cilantro taste perception

  • Athletic performance genetics: Fast-twitch vs slow-twitch muscle composition, VO2max potential, injury susceptibility

CLINICAL ACTIONABILITY

  • ACMG Secondary Findings: 73 medically actionable genes screened regardless of indication

  • Automated variant classification using ClinVar, OMIM, gnomAD databases

  • Genetic counseling integration for high-risk findings

  • Family cascade screening recommendations for heritable conditions

⏱️ EPIGENETIC DATA: Your True Biological Age

Your chronological age is just a number. Your biological age—how fast your cells are actually aging—is what determines disease risk and lifespan. Epigenetic modifications reveal whether your lifestyle is accelerating or reversing aging at the molecular level.

DNA METHYLATION CLOCKS

  • Horvath Clock (2013): Multi-tissue age predictor accurate within 3.6 years, validated across 51 tissue types

  • Hannum Clock (2013): Blood-specific methylation clock correlating with immune system aging

  • PhenoAge Clock (2018): Predicts all-cause mortality and healthspan better than chronological age

  • GrimAge Clock (2019): Best predictor of time-to-death (R² = 0.90 in validation studies), incorporates smoking pack-years and lifestyle factors

  • DunedinPACE (2022): Measures pace of aging (biological years per chronological year), detects intervention effects within 12 months

BIOLOGICAL AGE METRICS

  • Epigenetic age acceleration: How many years older/younger your cells appear vs chronological age

  • Extrinsic epigenetic age: Aging influenced by external factors (smoking, pollution, stress)

  • Intrinsic epigenetic age: Aging independent of external influences (genetic predisposition)

  • Telomere length-adjusted age: Combined methylation and telomere shortening analysis

  • Rate of aging: Biological years accumulated per chronological year (1.0 = normal, <1.0 = slower aging, >1.0 = accelerated aging)

METHYLATION PATTERN ANALYSIS

  • CpG site methylation status across 850,000 genomic positions

  • Differential methylation regions (DMRs): Areas showing abnormal methylation patterns

  • Gene-specific methylation: Promoter methylation status for tumor suppressor genes, inflammatory genes, longevity genes

  • Methylation entropy: Disorder in methylation patterns increasing with age and disease

  • Age-related CpG islands: Specific regions highly predictive of biological aging rate

LIFESTYLE IMPACT TRACKING

  • Exercise response: Methylation changes following structured training programs

  • Dietary intervention effects: Caloric restriction, intermittent fasting, methyl donor supplementation

  • Stress-induced methylation: Cortisol-responsive genes showing reversible methylation changes

  • Sleep quality correlation: Poor sleep accelerating epigenetic age by 1.5-3 years

  • Environmental toxin exposure: Heavy metals, BPA, phthalates causing aberrant methylation

INTERVENTION EFFECTIVENESS

  • Biological age reversal tracking: Quarterly measurements showing intervention impact

  • Methylation-based disease risk: Cancer-associated hypermethylation detection 5-10 years pre-diagnosis

  • Immune age: Methylation patterns in immune cells predicting immunosenescence

  • Metabolic age: Methylation signatures correlating with insulin resistance and metabolic syndrome

  • Neurocognitive age: Brain-specific methylation patterns predicting cognitive decline

GENE EXPRESSION CORRELATION

  • Transcriptome-methylome integration: Linking methylation status to actual gene activity levels

  • Aging hallmark gene expression: Cellular senescence, mitochondrial dysfunction, stem cell exhaustion markers

  • Inflammatory gene expression: NF-κB pathway activation, inflammaging biomarkers

  • DNA repair gene expression: Base excision repair, nucleotide excision repair pathway efficiency

  • Longevity pathway activation: FOXO, SIRT1, AMPK, mTOR pathway activity via methylation proxies