Biological intelligenceNine curated layers
Primary sourcesPubMed · Nature · NIH
DomainEpigenetics · Aging · Science
Atlas status· · · ✦ · · ·
Est. MMXXV

Biological
Intelligence

EpiGeneticLock

A Living Atlas of
Epigenetic Intelligence

Biological Age, Healthspan & Science
I

The Clock

Biological Age & Epigenetic Clocks

Biological age biomarkers, methylation clocks — Horvath, GrimAge, PhenoAge — DNA methylation rates, and age acceleration indices. The technical foundation beneath every longevity claim, indexed and connected to primary literature.

Foundation
II

Longevity

Healthspan & Lifespan Science

Cellular senescence, rejuvenation pathways, natural interventions, and the emerging evidence base for extending healthy human lifespan.

Science
III

Methylation

Gene Regulation

DNA methylation pathways, histone modification, chromatin remodeling, CpG sites, and epigenome-wide association studies from core scientific literature.

Core Science
IV

Nutrition

Epigenetic Diet

Dietary influence on gene expression — folate, methyl donors, polyphenols, intermittent fasting, gut microbiome dynamics, and longevity-associated foods.

Lifestyle
Biological Time · CpG Methylation
V

Circadian

Chronobiology & Sleep

Circadian rhythm, sleep epigenetics, melatonin cycles, light exposure biology, and the molecular timing systems that govern cellular repair.

Timing
VI

Performance

Exercise & Adaptation

Exercise epigenetics, mitochondrial health, hormesis, recovery biomarkers, VO2 max longevity correlations, and adaptive stress responses.

Adaptation
VII

Research

Primary Sources

Latest papers, institutions, and databases — PubMed, bioRxiv, Semantic Scholar, Nature Aging, OpenAlex — curated and categorised by topic.

Intelligence
VIII

Signals

Biotech, Funding & Patents

Real-time intelligence: biotech launches, funding rounds, FDA movements, patent filings, and startup activity across the longevity and epigenetics industry. Sources: FierceBiotech, Endpoints, BioSpace, Crunchbase.

Live
IX

Lexicon

Foundational Terms

A registry of foundational epigenetic terminology — methylation marks, clock models, pathway names, biomarker definitions, and the vocabulary of biological age science.

Reference
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Layer I · Foundation
CLOCK

Biological age estimation through epigenetic biomarkers and DNA methylation patterns — the science of how old your cells actually are.

Epigenetic Clock GenerationsGENERATION I · 2013Horvath Clock — 353 CpG sitesMulti-tissue · ±3.6 yr accuracyGENERATION II · 2018–2019PhenoAge & GrimAgeMortality-trained · clinical markersGENERATION III · 2020DunedinPACESpeed of aging · longitudinal cohort1st gen2nd gen3rd gen
Foundation · Layer I

What is the Epigenetic Clock?

Every cell in your body carries not just DNA, but a layer of chemical marks — methyl groups attached to specific points along the genome — that control which genes are active and which are silenced. These marks shift in consistent, measurable patterns as we age. In 2013, biostatistician Steve Horvath discovered that by reading 353 of these methylation sites, it was possible to estimate a person's biological age with remarkable precision. This was the first epigenetic clock.

Biological Age vs. Chronological Age

Biological age and chronological age often diverge. A 50-year-old with healthy habits, low stress, and good sleep may have a biological age of 42. The same calendar age under chronic stress or poor nutrition may read 58. This gap — called age acceleration — is now one of the most studied biomarkers in longevity science, measurable from a simple blood or saliva sample.

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Three Generations of Clocks

Since Horvath's original clock, researchers have developed second- and third-generation models — GrimAge, PhenoAge, DunedinPACE — each trained on different health outcomes and offering different windows into biological aging. Together they form the foundation of a new science of measurable longevity.

Why it Matters

Epigenetic clocks are now used in clinical research to measure the effectiveness of interventions — fasting protocols, exercise programmes, pharmaceutical candidates, and lifestyle changes — by detecting whether they slow, halt, or even reverse biological aging. They represent the first objective, quantifiable measure of how our choices affect the pace of aging at the cellular level.

Upload in CarrdDNA methylation microscopy
or clock model visualisation
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