# Epigenetic clocks & biological-age diagnostics Reading DNA-methylation patterns across hundreds of thousands of CpG sites to compute a person's biological age and pace of aging, rather than the calendar age on a birth certificate, turning a $229-799 saliva or blood test into the primary read-out for the longevity industry. Source: https://en.bioecon.ru/technology/epigenetic-clocks-biological-age-diagnostics/ Updated: 2026-08-18 ## Overview and value chain Markers: [EC: In Vitro Diagnostic Regulation (IVDR) Class C | OECD: Genomics & bioinformatics | Regulator: FDA (US), EMA (EU), NMPA (China)] Epigenetic clocks are machine-learning models that compute a person's biological age from the methylation state of specific cytosine-guanine (CpG) dinucleotides scattered across the genome, exploiting the fact that DNA methylation drifts in a predictable, measurable pattern as cells age. A single Illumina Infinium MethylationEPIC BeadChip reads methylation intensity at more than 850,000 CpG sites simultaneously, and commercial reports now stack six or more clock algorithms — DunedinPACE, GrimAge 2.0, PhenoAge, OMICmAge and SymphonyAge among them — on top of the same array run. Consumer-facing tests range $229-799 per kit, turned around from a saliva swab or blood draw in two to four weeks. The sector spans four algorithm generations: first-generation clocks (Horvath, Hannum) trained to predict chronological age; second-generation clocks (PhenoAge, GrimAge) trained on clinical mortality and morbidity biomarkers instead; DunedinPACE, which measures the current pace of aging (e.g., 0.8 or 1.2 biological years per calendar year) rather than accumulated age; and emerging deep-learning clocks that fuse methylation with transcriptomic and proteomic layers. The key directions of epigenetic-clock diagnostics are: 1. **Multi-clock consumer panels:** stacking several validated algorithms (DunedinPACE, GrimAge 2.0, PhenoAge, organ-specific ages) on one methylation-array run to give a single report several complementary age read-outs. 2. **Pace-of-aging measurement:** DunedinPACE-class algorithms trained on decades-long cohort studies to quantify the current rate of biological aging rather than an accumulated age number. 3. **Alternative non-methylation biomarkers:** glycan-based clocks that measure immunoglobulin G (IgG) glycosylation as a proxy for systemic inflammation and aging, avoiding the array/bisulfite pipeline entirely. 4. **Geroprotector and intervention trials:** using repeat epigenetic-age measurements as a primary or secondary endpoint to quantify whether a drug, therapeutic plasma exchange, or lifestyle change measurably slows or reverses biological aging. ### Sectoral value chain ``` [Sample collection (blood/saliva)] ──> [DNA extraction] ──> [Bisulfite/enzymatic conversion] │ │ │ (Stabilizing buffer) (Enzymatic protein digestion) (EM-seq or bisulfite chemistry) │ [Clinical report (bio-age)] <── [AI clock modeling (GrimAge/DunedinPACE)] <─── [Methylation array scan] ``` ### Value chain levels | Level | Description | Key inputs/outputs | |:---|:---|:---| | **Sample collection** | Collecting peripheral blood in EDTA tubes or saliva in a DNA-preservative collection tube. | **In:** Patient blood/saliva, stabilizing collection kit.
**Out:** Stabilized biological sample. | | **DNA extraction** | Cell lysis, enzymatic protein digestion, and purification of high-molecular-weight genomic DNA on magnetic beads. | **In:** Blood/saliva sample, extraction reagents.
**Out:** Purified genomic DNA. | | **Epigenetic conversion** | Treating DNA with sodium bisulfite or enzymatic methylation (EM-seq) to convert unmethylated cytosines to uracil while leaving methylated cytosines unchanged. | **In:** Purified genomic DNA, conversion reagents.
**Out:** Converted single-stranded DNA. | | **Array hybridization** | Hybridizing converted DNA onto a methylation microarray (Illumina EPIC BeadChip) or running targeted sequencing of CpG sites. | **In:** Converted DNA, array/NGS reagents.
**Out:** Raw fluorescent scan images or FASTQ files. | | **Bioinformatic normalization** | Reading array signal intensities and computing a beta-value for every CpG site across the genome. | **In:** Raw IDAT scan files.
**Out:** Normalized array of per-CpG beta-values. | | **AI age assessment** | Running the normalized beta-value vector through GrimAge/DunedinPACE-class models to compute biological age, pace of aging, and disease-risk scores. | **In:** Normalized beta-value array, trained clock models.
**Out:** Clinical biological-age report. | Cross-cutting technologies of the sector: - **Illumina Infinium MethylationEPIC BeadChip:** the field's reference array, reading methylation at over 850,000 CpG sites per sample via two-color fluorescent bead-based detection. - **Enzymatic methylation sequencing (EM-seq):** an alternative to bisulfite conversion, which degrades up to 90% of input DNA; EM-seq uses sequential TET2 and APOBEC3A enzyme treatment to detect methylated cytosines while preserving DNA fragment length and structure. - **Elastic-net regression clocks:** the DunedinPACE algorithm class, trained on the decades-long Dunedin Study cohort of about 1,000 participants followed from birth to age 45 across dozens of biomarkers, to quantify an individual's current pace of aging. --- ## US The United States leads global commercialization of biological-age testing and the integration of epigenetic clocks into clinical trials of geroprotective compounds. ### Steve Horvath's original clocks, TruDiagnostic's DunedinPACE license, Tally Health's cheek-swab platform, Elysium's PhenoAge-based Index - **Origin of epigenetic clocks:** UCLA human genetics professor Steve Horvath published the first multi-tissue epigenetic clock in 2013, showing biological age could be computed from methylation at 353 CpG sites; he now leads clock R&D at Altos Labs, alongside Yale-trained researcher Morgan Levine, who developed the second-generation PhenoAge algorithm before also joining Altos Labs. - **TruDiagnostic's multi-clock platform:** founded in 2020 and based in Lexington, KY, TruDiagnostic runs its TruAge COMPLETE and TruAge PACE reports off a single 900,000+ CpG methylation array, stacking DunedinPACE, GrimAge 2.0, PhenoAge, OMICmAge, SymphonyAge and 11 organ-specific age estimates in one $399-799 panel, positioning it as the largest commercial epigenetic-testing lab in the country. - **Tally Health's cheek-swab CheekAge:** founded in 2023 in New York and co-founded by longevity researcher David Sinclair, Tally Health runs a $229 cheek-swab test built on its proprietary CheekAge clock, publishing its methodology as a peer-reviewed scientific paper and pairing the age read-out with an AI-driven nutrition and supplement app. - **Elysium Health's Index:** founded in 2014 in New York, Elysium Health sells the $299 Index DNA-methylation test built on Morgan Levine and Steve Horvath's 2018 DNAm PhenoAge algorithm, and separately markets a Senolytic Complex supplement, positioning the company across both the diagnostic and geroprotective-supplement sides of the longevity market. - **Buck Institute's clock research:** the Marin County, CA-based Buck Institute for Research on Aging published a new blood-based epigenetic clock in June 2025 focused on "intrinsic capacity" rather than raw age, and is running its BIG Study biobank to collect blood at scale for aging research; a May 2025 Aging Cell trial from the Institute found that therapeutic plasma exchange combined with IVIG reduced multi-omics biological age by 2.6 years on average. --- ## CN China is building population-scale epigenetic reference data and integrating biological-age testing into premium health-checkup packages, while its diagnostics sector adapts methylation-based cancer and aging assays to a domestic population whose methylation patterns differ from Western-trained clocks. ### Population-specific clock calibration, oncology-diagnostics methylation platforms, premium health-checkup integration - **Population-specific clock calibration:** Chinese Academy of Sciences (CAS) institutes are building population-scale methylation reference datasets, since CpG methylation patterns carry ethnic and dietary variation that Western-trained clocks (built mostly on European and American cohorts) do not capture accurately. - **Methylation-based diagnostics platforms:** domestic NGS diagnostics companies are extending DNA-methylation assays developed for early cancer detection toward biological-age and organ-aging scoring, reusing the same bisulfite/array infrastructure built for oncology screening. - **Premium health-checkup integration:** private clinics in Beijing, Shanghai and Shenzhen are folding methylation-based biological-age scoring into annual premium health-checkup packages, the main commercial channel for the test in China today. --- ## EU The European Union anchors its biological-age diagnostics sector in long-running population cohorts, an alternative glycan-based biomarker pioneered in the UK and Croatia, and strict IVDR/GDPR oversight of genetic test data. ### Long-running aging cohorts, GlycanAge's IgG-glycosylation clock, IVDR Class C classification - **Long-running population cohorts:** European institutes coordinate decades-long longitudinal aging studies (such as Edinburgh's Lothian Birth Cohorts), providing the deep genomic and epigenetic follow-up data used to train and validate new clock algorithms. - **GlycanAge's glycan clock:** London-headquartered GlycanAge, spun out of Croatian glycoscience research, markets a biological-age test based on immunoglobulin G (IgG) glycosylation rather than DNA methylation; a May 2026 study run jointly with Circulate Health analyzed roughly 20,000 individuals across 42 studies, establishing IgG glycans as an independent predictor of all-cause mortality and showing therapeutic plasma exchange can measurably reduce the glycan-based age score. - **IVDR Class C classification and GDPR:** clinical deployment of biological-age tests in the EU falls under the In Vitro Diagnostic Regulation as a Class C genetic screening test, with storage and bioinformatic processing of the underlying genomic data separately bound by GDPR. --- ## Leading companies and research institutes | Company / Institute | Country | Key products / platforms | Tech features | Status 2026 | |:---|:---|:---|:---|:---| | **TruDiagnostic** | 🇺🇸 USA | *TruAge COMPLETE*, *TruAge PACE* | 900,000+ CpG array, DunedinPACE/GrimAge 2.0/PhenoAge/OMICmAge/SymphonyAge stack, 11 organ ages | commercial | | **Tally Health** | 🇺🇸 USA | *TallyAge* cheek-swab test, *CheekAge* clock | Proprietary peer-reviewed clock, AI nutrition/supplement app | commercial | | **Elysium Health** | 🇺🇸 USA | *Index* DNA test, Senolytic Complex | Built on Levine/Horvath DNAm PhenoAge algorithm | commercial | | **Buck Institute for Research on Aging** | 🇺🇸 USA | Blood-based "intrinsic capacity" clock, BIG Study biobank | Multi-omics aging biomarker research, geroprotector trials | research | | **GlycanAge** | 🇬🇧 UK | *GlycanAge* IgG-glycosylation test | HPLC glycan quantification, ~20,000-subject validation study (2026) | commercial | --- ## Tech stack and innovations The biological-age diagnostics stack pairs high-throughput molecular biology automation with cloud AI modeling: 1. **Automated library prep on liquid-handling robots:** - High-throughput DNA extraction and bisulfite/enzymatic conversion of up to 96 samples in parallel, with robotic liquid handlers dispensing reagents at 0.1 µL precision to eliminate cross-contamination between DNA samples. 2. **Laser array scanning:** - Illumina iScan-class scanners read EPIC BeadChips with dual high-intensity lasers, resolving methylated (one fluorescent channel) versus unmethylated (the other channel) cytosine signals across 850,000+ CpG sites per chip in minutes. 3. **Cloud AI age-prediction models:** - Regularized regression (ridge/lasso/elastic net) and deep neural networks trained on millions of CpG profiles compute age acceleration and pace-of-aging indices from the normalized beta-value array, generating a graphical predictive-risk report. --- ## Value chains and production pipelines ### Industrial pipeline for a clinical epigenetic-age test (ISO 15189) ``` ┌───────────────────────────┐ ┌───────────────────────────┐ │ 1. Saliva/blood collection │ ───> │ 2. Automated genomic DNA │ │ in preservative tube │ │ extraction │ └───────────────────────────┘ └───────────────────────────┘ │ ▼ ┌───────────────────────────┐ ┌───────────────────────────┐ │ 4. Array hybridization │ <─── │ 3. Bisulfite/enzymatic │ │ (Illumina EPIC BeadChip)│ │ conversion │ └───────────────────────────┘ └───────────────────────────┘ │ ▼ ┌───────────────────────────┐ ┌───────────────────────────┐ │ 5. Laser scan & beta-value │ ───> │ 6. AI clock scoring & │ │ calculation │ │ report generation │ └───────────────────────────┘ └───────────────────────────┘ ``` #### Stage 1: Sample collection and stabilization A patient collects roughly 2 mL of saliva into a kit tube (e.g., a DNA Genotek Oragene-DNA collector); closing the cap punctures an internal membrane that releases a preservative buffer, lysing bacteria and inhibiting DNase enzymes so that genomic DNA in buccal cells stays stable at room temperature for up to five years during mail-in transport. #### Stage 2: Automated genomic DNA extraction The sample is logged by barcode and a 1 mL aliquot is dispensed by a robotic station into a 96-well plate. Proteinase K digestion at 50°C for one hour breaks down salivary proteins, and DNA is purified on silica-coated magnetic microbeads held by a magnet through alcohol wash steps, eluting at least 2 µg of DNA at an A260/A280 purity ratio of roughly 1.8. #### Stage 3: Bisulfite or enzymatic methylation conversion 500 ng of genomic DNA undergoes bisulfite conversion (e.g., with a Zymo Research EZ DNA Methylation kit) or enzymatic methylation sequencing: a stepwise thermocycler profile denatures DNA at 95°C and sulfonates it at 50°C for up to three hours, converting unmethylated cytosines to uracil while leaving methylated cytosines (5-mC) intact; the converted single-stranded DNA is then purified and neutralized. #### Stage 4: Array hybridization The converted DNA undergoes whole-genome amplification for roughly 20 hours at 37°C, is enzymatically fragmented, precipitated, and resuspended in hybridization buffer, then loaded onto an Illumina Infinium MethylationEPIC BeadChip v2.0 and incubated in a hybridization chamber for about 20 hours at 48°C, allowing DNA fragments to hybridize to probe-bearing beads. #### Stage 5: Single-base extension and laser scanning The chip undergoes single-base extension with fluorescently labeled dideoxynucleotides, is stained, dried, and loaded into an Illumina iScan-class laser scanner, which reads fluorescence intensity across two channels (methylated versus unmethylated signal) and outputs high-density IDAT data files. #### Stage 6: AI scoring and report generation IDAT files are processed through a bioinformatics pipeline (commonly the R `minfi` package) for background normalization and noise filtering, computing a beta-value for each of 850,000+ CpG sites. The resulting beta-value vector is passed into GrimAge/DunedinPACE-class models, which compute biological age, the DunedinPACE pace-of-aging index, and disease-risk scores, generating an illustrated PDF report with longevity and geroprotector recommendations delivered to the patient's portal.