Longevity

Decoding Your TruAge: The Science of Biological Aging and How to Slow It

Discover what the gold standard in Biological Age testing reveal about your health, longevity, and risk for age-related diseases.

Scientifically Reviewed by
Dr. Olena Husak, PhD

What is TruAge?

TruAge is an advanced biological age test developed by TruDiagnostic that measures how fast your body is aging at the cellular level. Unlike a traditional age test (which simply tells you how many years since you were born), TruAge analyzes DNA methylation patterns – chemical tags on your DNA that change with age and lifestyle – to determine your "biological age." By examining hundreds of thousands of genomic sites (called CpG sites) in a small blood sample, TruAge can gauge your true aging rate and health status. In fact, TruDiagnostic has built one of the largest private DNA methylation databases to date, enabling them to link lifestyle factors (diet, exercise, stress, etc.) with aging changes.

TruAge is often considered a gold standard in epigenetic aging tests because of its scientific rigor and comprehensive scope. The test was developed in collaboration with researchers at leading institutions (Harvard, Yale, Duke, among others) and incorporates second- and third-generation aging algorithms that have been peer-reviewed for accuracy. While earlier "biological age" tests (like telomere length or first-generation epigenetic clocks) provided only a rough estimate, TruAge leverages cutting-edge epigenetic biomarkers to deliver precise, clinically meaningful results. For example, all of TruAge's reported age metrics have shown very high test–retest reliability (intraclass correlation >0.98), meaning you would get virtually the same result if you repeated the test on the same sample. This level of precision and validation sets TruAge apart as a leading tool for anyone serious about quantifying their aging process. In short, the TruAge test uses DNA methylation data from your blood to reveal your biological age, your pace of aging, and even the age of various organ systems – offering a 360° view of how you're aging and how you might improve it.

The Science Behind Biological Age vs. Chronological Age

Chronological age is simply the number of years you've been alive. In contrast, biological age refers to how old your cells and tissues appear based on biomarkers of aging. Two people born in the same year may not be "aging" at the same rate: one 40-year-old might have the biology of a typical 30-year-old, while another's body might resemble that of a 50-year-old. Biological age is essentially an estimate of your body's functional and molecular state, as opposed to your calendar age.

Scientists have found that biological age, especially when measured by comprehensive epigenetic markers, is often a better predictor of health outcomes than chronological age. Aging is the biggest risk factor for most chronic diseases, yet people age heterogeneously – meaning lifestyle, genetics, and environment cause some to age faster and others more slowly. For instance, if someone's biological age is higher than their chronological age, we say they have accelerated aging, which studies link to greater risk of age-related diseases and earlier mortality. On the other hand, a lower biological age (decelerated aging) suggests a person may enjoy a longer healthspan (more years of healthy life). In a meta-analysis of over 41,000 participants, each 5-year increase in DNA methylation age (a common measure of biological age) was associated with an 8% to 15% increase in mortality risk.

Why is biological age so informative? The concept captures the cumulative impact of all those microscopic changes happening in your body – DNA damage, inflammation, cellular wear-and-tear, epigenetic modifications, and more. Chronological age alone can't account for differences in lifestyle or resilience. Biological age does. For example, someone who eats well, exercises, and manages stress might have a biological age years younger than their sedentary, high-stress peer. That's why longevity researchers focus on biological age as a key metric for predicting longevity, disease risk, and healthspan (years of healthy life) rather than the number of birthdays celebrated. Epigenetic "clocks" like TruAge are at the forefront of this research – they quantify biological aging by reading the DNA methylation marks that record our body's history of exposures and behaviors. These clocks correlate strongly with physiological measures and can even forecast who's likely to live longer or stay disease-free. In summary, chronological age is what we count, but biological age is what counts for your health. Understanding this difference is empowering: it means aging is, to a significant extent, malleable. By improving your lifestyle, you may be able to slow (or even reverse) aspects of your biological aging, a premise that TruAge allows you to test and track.

Overview of the three TruAge algorithms

TruAge doesn't just give you a single number for your biological age – it provides multiple insights through three major algorithms, each illuminating a different facet of aging. These algorithms are:

1. DunedinPACE

This metric measures the rate at which you are aging, often described as your "speed of aging" or "aging velocity." DunedinPACE was developed by scientists at Duke University (in collaboration with Columbia University) using data from the famous Dunedin longitudinal study in New Zealand. In that study, researchers tracked a cohort of people over decades, measuring how their bodies changed across 19 biomarkers of organ function (things like blood pressure, lung capacity, cholesterol, etc.). They then used machine learning (elastic-net regression) to distill those decades of aging into a single blood test readout. The result was DunedinPACE (PACE stands for "Pace of Aging Calculated from the Epigenome"), an algorithm that reads DNA methylation patterns to tell you how many biological years you are aging per calendar year. By design, the average DunedinPACE in the population is set to 1.0 (meaning one biological year of change per one chronological year). If your DunedinPACE score is, say, 0.90, it means you're aging 10% slower than the average person – essentially only 0.9 years biologically for each year of real time, which is a favorable result. If your score is 1.10, you're aging 10% faster than average (1.1 biological years per calendar year). DunedinPACE is unique because it's longitudinally validated – it's based on actual aging trajectories in the same individuals over time, rather than a cross-section at one age. This makes it a very sensitive measure of recent changes in your aging rate. In short, DunedinPACE acts like a speedometer for your aging process, telling you whether you're hitting the brakes or the accelerator on biological aging.

2. SYMPHONY Age

The SYMPHONY Age algorithm (an acronym for System Methylation Proxy of Heterogeneous Organ Years) measures aging at the level of specific organ systems. Developed by scientists at Yale University, SYMPHONY Age provides 11 distinct biological age scores – each one representing the age of a particular organ system in your body. These include: Brain Age, Heart Age, Lung Age, Liver Age, Kidney Age, Immune System Age, Hormone (endocrine) Age, Metabolic Age, Inflammation Age, Musculoskeletal Age, and Blood Age. The idea is revolutionary: our organs don't all age at the same pace, so this algorithm lets you see which systems are "older" or "younger" relative to your chronological age. For example, you might discover that your Heart Age is 5 years older than your actual age (perhaps due to cardiovascular risk factors), but your Brain Age is 3 years younger than your actual age (perhaps thanks to lifelong learning and good neuroprotective habits). SYMPHONY Age paints a nuanced picture of aging by examining how different parts of the body age independently yet also synchronously (hence the name SYMPHONY, as in an orchestra of systems). This systems-based approach is incredibly useful for pinpointing areas of concern – it can highlight, for instance, that a person's inflammatory system is aging faster than the rest of their body, suggesting a need to focus on anti-inflammatory lifestyle changes. TruDiagnostic's SYMPHONY Age is the first epigenetic test of its kind to offer organ-specific aging analysis using validated, system-trained clocks. It's included as part of the TruAge Complete test. By breaking biological age down into 11 organ ages, SYMPHONY provides actionable insight into which parts of you are aging well and which might need attention.

3. OMICm Age

The OMICm Age algorithm is TruAge's flagship measure of overall biological age, derived from a large-scale machine learning analysis of multi-omic data. Developed in collaboration with researchers at Harvard Medical School, OMICm Age represents a "multi-omic" epigenetic clock – meaning it was trained not just to match chronological age, but to capture signals from various layers of biology (proteins, metabolites, clinical lab values) that are linked to aging. In the development of OMICm Age, scientists used a cohort of tens of thousands of individuals (notably, ~30,000 participants from the Massachusetts General Brigham biobank) and integrated data from proteomics (blood protein levels), metabolomics (metabolite profiles), and clinical biomarkers like cholesterol, hemoglobin, and liver enzymes. They first created a composite index of aging called "EMR Age" (basically a morbidity/mortality risk score from electronic medical records), then trained a DNA methylation algorithm to predict that index. The result is OMICm Age – the first epigenetic clock to incorporate multiple omics via what are called Epigenetic Biomarker Proxies. In practical terms, OMICm Age tells you how old your body is on a cellular and molecular level compared to your calendar age. It's reported as a single age in years. If your OMICm Age comes back as 50 but you are only 45 years old, that suggests your biology resembles an average 50-year-old (i.e. your biological age is 5 years older than your chronological age). Conversely, a OMICm Age younger than your actual age is a favorable sign. This algorithm is considered one of the most advanced epigenetic aging measures available; early studies show that it outperforms earlier clocks in predicting age-related disease and mortality risk. By leveraging the richness of multi-omic data, OMICm Age can provide insight not just that you are older or younger biologically, but also hint why – for instance, it correlates with key aging pathways like inflammation, metabolic health, and organ function. It's a powerful summary metric of your overall biological age that you can track over time.

To summarize, the TruAge test yields three core results: (1) a Pace of Aging score (DunedinPACE) – think of it as how fast the clock is ticking for you right now; (2) a System-wide Aging Profile (SYMPHONY Age) – 11 scores that show how each "organ clock" is ticking; and (3) a Biological Age estimate (OMICm Age) – a single age that reflects your cumulative aging status across multiple biological layers. Together, these algorithms give you a multi-dimensional view of your aging, from the microscopic molecular rate to the macroscopic organ health level.

How is TruAge Measured?

Sample Collection

The process starts with a simple finger-prick blood sample that you can collect at home. The test kit includes everything you need: detailed instructions, a finger-prick lancet, blood spot collection cards, and a prepaid return envelope.

If you prefer, Liv also supports a Tasso device that can painlessly draw a tiny blood sample from your arm automatically – you just stick it on and it does the work. The process is quick and virtually painless (just a tiny pinch).

Laboratory Analysis

Once your sample arrives at TruDiagnostic's CLIA-certified lab, they analyze the DNA methylation patterns at hundreds of thousands of genomic sites (called CpG sites) across your genome.

The lab uses a next-generation array covering ~950,000 sites, far more than older tests that looked at only a few hundred CpGs. This comprehensive analysis provides the raw data needed for all three TruAge algorithms.

How these algorithms are calculated

All three TruAge algorithms are based on DNA methylation data obtained from your blood sample. DNA methylation is an epigenetic mechanism – essentially, tiny chemical marks (methyl groups) that attach to DNA at specific sites (CpGs) and regulate gene activity. As we age, and as we experience life (diet, smoking, stress, pollution, etc.), our pattern of DNA methylation changes in predictable ways. Epigenetic clocks leverage these patterns by using statistical models to map specific methylation changes to aging measures.

When you take a TruAge test, a few drops of your blood (from a finger prick) are analyzed in the lab using a microarray that reads the methylation level at hundreds of thousands of CpG sites across your genome. TruAge uses a next-generation array covering ~950,000 sites, far more than older tests that looked at only a few hundred CpGs. The raw data is a massive matrix of methylation percentages. Here's where machine learning and biostatistics come in: the TruAge algorithms apply pre-trained mathematical models to this data to calculate your scores.

Each algorithm was developed through rigorous research and validation:

DunedinPACE Calculation

DunedinPACE was built by measuring true physiological aging in a group of individuals over 20 years and then training a model to predict that using a single-time-point methylation readout. The developers used an elastic net regression (a type of machine learning that finds the best-fitting combination of methylation markers) and carefully filtered for CpG sites that are reliably measured (to ensure the test is repeatable). They then tested DunedinPACE in multiple independent cohorts around the world to ensure it predicts outcomes consistently. This algorithm ended up using a specific set of methylation sites that, together, act as a "signature" of fast or slow aging. Its accuracy is evidenced by very high test–retest reliability (ICC ~0.96 in data, meaning virtually no test variation if the same sample is run twice). In essence, the calculation involves summing the weighted methylation values of those CpGs (each weighted by how strongly it relates to aging speed) to produce a single DunedinPACE value.

SYMPHONY Age Calculation

SYMPHONY Age was developed by Yale researchers by training separate DNA methylation clocks for each organ system. This means they had to identify methylation patterns that correlate with aging in the brain, heart, lungs, liver, etc., likely using datasets where those organ-specific aging processes were characterized (for example, using clinical biomarkers or imaging as proxies for organ aging). Each organ clock uses a subset of CpGs that best predict the aging of that system. According to TruDiagnostic, SYMPHONY Age incorporates 133 distinct molecular, cellular, and functional biomarkers in its modeling of organ ages – a huge amount of data – and ultimately examines about 125,000 methylation sites to compute the 11 ages. Previous organ-specific clocks, for comparison, used at most 59 biomarkers and ~78k sites, underscoring how comprehensive SYMPHONY is. The final step in SYMPHONY's computation also yields an integrated whole-body age, which is calculated by combining the 11 system ages into one overall age metric. Importantly, each of these clocks was validated: researchers checked that, for example, the Heart Age methylation clock actually correlates with cardiovascular health metrics and outcomes, the Brain Age clock correlates with cognitive/memory metrics, and so on. By the time SYMPHONY Age launched, it had gone through internal validation and was released as a preprint (with peer review expected, as of 2024). From a user perspective, the calculation is complex but automated – in seconds, the software will crunch your methylation data through 11 different models to spit out 11 numbers representing each system's biological age.

OMICm Age Calculation

OMICm Age is computed through a sophisticated model that merges epigenetic data with multi-omic influences. In the training phase, researchers first built an "aging score" called EMR Age by looking at electronic medical records of ~30k people to see who had age-related diseases or died, thereby quantifying biological aging in a clinical sense. They also measured thousands of proteins and metabolites in a subset of these people. Using these, they identified key protein and metabolite changes that track with aging. However, measuring all those omics for every new person would be impractical – so they instead found epigenetic proxies for them (essentially, CpG sites whose methylation correlates with those protein/metabolite levels). The OMICm Age algorithm then uses a machine learning model (again an elastic net or similar) that takes your methylation data and predicts the EMR Age. In effect, the model "imagines" what your proteomic and metabolic age markers would be, based on your methylation, and then outputs a combined biological age. This approach dramatically expands the information used compared to earlier clocks that only tried to match chronological age. By integrating multi-omic data, OMICm Age can capture aspects of aging like inflammation (via proteins like CRP or IL-6), metabolic health (via metabolites like glucose or cholesterol-related molecules), kidney function, immune status, and more – all inferred through patterns in your DNA methylation. The model was validated in a held-out sample of over 12,000 people (the TruDiagnostic biobank) and showed superior correlation with outcomes like chronic disease incidence and mortality, compared to classic clocks. So, when your blood's methylation is run through the OMICm algorithm, the output is a single biological age number that reflects an ensemble of aging markers. Statistically, this number has been tuned to best predict risk of death and disease.

What do the results mean?

Getting your TruAge report can be exciting – you'll see multiple numbers and might wonder what counts as "good" or "bad" and how to interpret each. Let's break down the key results and how to understand them:

DunedinPACE (Pace of Aging)

This score is expressed as a rate (no units, just a number around 1). 1.0 is the reference, which means you are aging biologically one year per chronological year – essentially an average pace for your age. A "good" DunedinPACE result is below 1.0, indicating you're aging more slowly than the norm. For example, 0.80 would mean you're aging at 80% the rate of a typical person (you gain only ~0.8 years biologically in one calendar year, which over a decade could translate to looking and functioning like someone 2 years younger than your peers). On the other hand, a result above 1.0 means accelerated aging – e.g. 1.20 would be 20% faster aging (you're accumulating 1.2 years of biological wear per year of time). Most people will find their score falls in a range roughly between about 0.6 and 1.4.

The closer to 1 you are, the more "average" your aging speed. Small differences are meaningful: The developers of DunedinPACE report that even a score of 1.01 (just slightly above normal) is associated with significantly higher risk of chronic disease and mortality over time. Specifically, their data suggests a DunedinPACE of 1.01 corresponds to about a 54% higher risk of chronic disease and a 56% higher risk of death compared to a score below 1. So, the goal is clear – keep your pace of aging below 1.0. If your result is, say, 0.95, that's quite good; it means your current lifestyle might be helping you age more slowly than average. If it's 1.10, that's a sign you might want to take action (e.g. improve diet, exercise, sleep, stress) to try to dial that back. DunedinPACE is very sensitive to short-term changes, so it's an ideal metric to track over time if you implement an intervention. In fact, it's often recommended to re-check it after ~3 months of lifestyle changes to see if the needle moves.

Bottom line: DunedinPACE tells you "how fast am I aging right now?" – values below 1 are slower (good), above 1 are faster (concerning).

OMICm Age (Biological Age in years)

This is reported as an age in years, directly comparable to your chronological age. If your OMICm Age is lower than your actual age, it means your body shows characteristics of someone younger – an indicator of positive aging or resilience. If it's higher than your actual age, it indicates accelerated aging or higher burden of aging-related changes. For interpretation, many people look at the "Biological Age Gap" – the difference between biological age and chronological age. For example, if you are 50 years old and your OMICm Age is 55, your age gap is +5 years (meaning you might have the risk profile of a 55-year-old). Conversely, if you're 50 and OMICm Age comes out 45, you have a −5 year gap (younger biologically).

A "good" result is a negative or zero gap – being biologically on par or younger than your calendar age. In population studies, having a biological age older than one's chronological age has been linked to higher rates of morbidity and mortality. On the flip side, being biologically younger can indicate a lower risk of chronic diseases. One report suggests that if everyone could reduce their biological age by 7 years, the incidence of age-related disease would be cut in half – illustrating how powerful biological age is as a determinant of health.

Bottom line: OMICm Age is your overall "biological age" – compare it to your real age. Younger is better. A difference of a few years is common; a difference of 5–10+ years is significant and worth paying attention to.

SYMPHONY Age (Systemic Aging Profile)

This part of the report can appear complex at first, but it is incredibly insightful. You will see 11 separate age values, each labeled for an organ or system: Brain Age, Heart Age, Immune Age, and so on. Each of those should be compared to your actual age as well. A "good" result for a given system is when that system's age is at or below your chronological age. It means that system is aging normally or slower than expected. If a specific organ age is higher than your actual age, it indicates that particular system might be aging faster (potentially an area of concern).

For example, you might be 45 years old with a Brain Age of Forty (great!), a Heart Age of fifty (slightly high), and a Liver Age of sixty (quite high). In that case, the liver stands out as an older system – perhaps due to factors like diet, alcohol, or metabolic issues affecting the liver. The difference between systemic aging and whole-body biological age is important: OMICm Age (whole-body age) gives a single summary, but it might average out highs and lows. SYMPHONY lets you deconvolve that and see the variance. You might have an overall healthy biological age, but still have one system that needs attention – and vice versa.

Bottom line: SYMPHONY Age dissects your biological age into 11 parts. Use it to identify which organ systems are weaker links (older than they should be) and which are strong suits (younger than expected). This personalized profile helps target interventions more precisely.

Which metric should I pay attention to the most?

The answer depends on your goals. If you're doing a lot of short-term interventions (like trying a new diet or supplement for 3 months), DunedinPACE is extremely useful because it's sensitive to change on that timescale. If you want a broad overview of your longevity and health risks, OMICm Age (biological age) is a good overall indicator – many see it as akin to "biological years of life." If you have specific health concerns or want to personalize your regimen, SYMPHONY Age is invaluable – it can direct you to focus on heart health vs. brain health vs. metabolic health, depending on which is most aged.

In practice, all three together provide the richest insight. For example, you might find your biological age is only slightly high, but your pace is fast – meaning you might not have accumulated a huge deficit yet, but currently you're on an accelerating path (a call to action to slow down that pace before it significantly raises your biological age). Or you might have a slow pace now but a high biological age – perhaps indicating past neglect that you've recently corrected; in that case, keeping that pace slow will gradually bring your biological age down below chronological age. The interplay of these metrics tells a story about your past, present, and future aging.

The connection to longevity and chronic disease

One of the most powerful aspects of measuring biological age is that it links to real-world health outcomes. The TruAge algorithms were each designed with longevity and disease prediction in mind, and emerging research shows that these measures correlate with risks of chronic diseases, disability, and mortality:

DunedinPACE and health outcomes

Because DunedinPACE captures your current aging velocity, it has been shown to predict who is on track for age-related decline. In the eLife 2022 study that introduced DunedinPACE, individuals with faster pace of aging had higher rates of physical degeneration, cognitive decline, and chronic disease onset as they got older. Even in relatively young adults, a higher DunedinPACE was associated with signs of accelerated aging (for example, those who had experienced childhood adversity tended to have a faster aging pace by midlife).

Subsequent studies have linked DunedinPACE to specific outcomes: one report found that a higher DunedinPACE is associated with an increased risk of developing cognitive impairment and even dementia in later life. Another analysis showed DunedinPACE predicts incidence of heart disease, stroke, and diabetes.

Most tellingly, DunedinPACE has been shown to predict mortality risk – people whose pace is slower tend to live longer, whereas those with a consistently fast pace are more likely to have a shorter lifespan. It even added predictive power on top of other clocks like GrimAge, meaning it captures something critical about aging that other measures miss.

Biological age (OMICm Age) and health outcomes

Biological age measures have a strong evidence base linking them to longevity and chronic disease risk. For example, earlier epigenetic clocks like Horvath's and Hannum's showed that if your epigenetic age was older than your chronological age (often termed "epigenetic age acceleration"), you had higher all-cause mortality risk. GrimAge, a second-generation clock, was even better – one study found GrimAge was a strong predictor of time-to-death, outperforming previous clocks and even traditional risk factors.

OMICm Age is essentially a next-generation version of these, optimized to predict mortality and morbidity by integrating multi-omic data. In the study behind OMICm Age, the researchers reported that it outperformed all prior methylation clocks in associations with chronic disease outcomes and mortality. What this means practically is that if your OMICm Age is high relative to your peers, you likely have higher risk for things like cardiovascular disease, type II diabetes, lung conditions, etc., and a higher risk of all-cause mortality at any given chronological age.

Conversely, those with younger biological ages tend to be those who live longer and stay disease-free longer. For instance, centenarians (people who live to 100) often have epigenetic ages that are 20 years younger than their chronological ages, which underscores the link between slower biological aging and extreme longevity.

SYMPHONY Age and health outcomes

The organ-specific ages provide even more granular connections to disease. Each organ age, if accelerated, is likely associated with conditions of that organ system. For example:

  • If your Immune System Age is high, it might correlate with immunosenescence (aging of the immune cells), which could mean higher susceptibility to infections, slower wound healing, or higher cancer risk (since the immune system also surveils for tumors)
  • An Inflammation Age that's elevated indicates chronic inflammatory activity – this could underpin diseases like arthritis, atherosclerosis (since heart disease has an inflammatory component), or neurodegenerative diseases
  • A high Metabolic Age might align with insulin resistance or fatty liver or high visceral fat, pointing to risk for diabetes, obesity-related complications, and so on
  • Heart Age higher than chronological age could reflect atherosclerosis progression, high blood pressure, or arterial stiffness – risk factors for heart attack and stroke
  • Lung Age high might correlate with smoking history or air pollution exposure, and predict risk of COPD or reduced respiratory function
  • Kidney Age high could hint at chronic kidney disease risk

The Yale team that developed SYMPHONY verified that these methylation-derived ages associate with known clinical markers: e.g., those with older liver ages likely had higher liver enzymes or more metabolic syndrome; those with older brain ages may have performed poorer on memory tests.

Summary of Health Impacts

Each TruAge metric (pace, organ ages, overall age) has been linked to critical outcomes: lifespan, healthspan, and specific disease risks. Faster aging and higher ages mean higher risk of frailty, disease, and earlier death. Slower aging and lower ages mean lower risk and likely longer life.

This isn't just abstract – for example, one study noted that improving one's epigenetic age by even a few years was associated with lower incidence of metabolic and cardiovascular conditions. Another found that those with the slowest aging pace had significantly lower prevalence of cognitive decline.

Quick note on mortality risk: Large studies have quantified that for every X years your epigenetic age is above your chronological age, your risk of death increases by Y%. For instance, one meta-analysis found ~8–15% higher mortality risk per +5 years epigenetic age. Meanwhile, DunedinPACE studies suggest that a 0.1 increase in pace (e.g. 1.1 vs 1.0) is linked to a notable jump in risk of death and disease. These are significant numbers – comparable to risk factors like hypertension or smoking in magnitude – which is why people are excited about the possibility of treating biological age through interventions.

Taking Action to Improve Your Results

Measuring your biological age and pace is only the first step. The real power comes from taking action to improve those metrics – thereby improving your healthspan. This is where Liv Longevity Labs comes in. Liv is a Berlin-based health tech startup (and the provider of your TruAge test) that not only delivers these advanced lab results to you, but also guides you on how to use them. The goal is to translate numbers on a report into a personalized action plan for better living and slower aging.

The Power of Continuous Tracking

Liv's strength is in combining lab precision with wearable accessibility. The TruAge test is the high-precision, occasional check-in (say every 6–12 months) that gives you deep insights into your biology. The wearables and app tracking provide continuous feedback in between those tests.

By overlaying the two, Liv creates a feedback loop: Test – Intervene – Track – Re-test, which is the ideal cycle for behavior change and physiological improvement. It's similar to how athletes train (with frequent metrics) but applied to longevity.

References

  1. 1.
    Belsky, D. W., Caspi, A., Cohen, H. J., et al. (2022). DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife, 11, e73420.
  2. 2.
    Belsky, D. W., Moffitt, T. E., Cohen, A. A., et al. (2019). Quantification of biological aging in young adults. Nature Communications, 10, 1-12.
  3. 3.
    Dunedin Multidisciplinary Health and Development Study. (1972-present). A comprehensive study of human development and aging. University of Otago.
  4. 4.
    Estruch, R., Ros, E., Salas-Salvadó, J., et al. (2018). Primary prevention of cardiovascular disease with a Mediterranean diet. New England Journal of Medicine, 378(25), e34.
  5. 5.
    Fontana, L., Partridge, L., & Longo, V. D. (2018). The effects of caloric restriction and intermittent fasting on aging. Nature Reviews Molecular Cell Biology, 19(10), 668-684.
  6. 6.
    Franceschi, C., Garagnani, P., Parini, P., et al. (2018). The continuum of aging and age-related diseases: Common mechanisms but different rates. Nature Reviews Immunology, 18(10), 637-650.
  7. 7.
    Goronzy, J. J., & Weyand, C. M. (2019). Mechanisms underlying T cell ageing. Nature Reviews Immunology, 19(9), 573-583.
  8. 8.
    Hannum, G., Guinney, J., Zhao, L., et al. (2013). Genome-wide methylation profiles reveal quantitative views of human aging rates. Molecular Psychiatry, 18(2), 138-139.
  9. 9.
    Horvath, S. (2013). DNA methylation age of human tissues and cell types. Genome Biology, 14(10), R115.
  10. 10.
    Levine, M. E., Lu, A. T., Quach, A., et al. (2018). An epigenetic biomarker of aging for lifespan and healthspan. Aging, 10(4), 573-591.
  11. 11.
    Lu, A. T., Quach, A., Wilson, J. G., et al. (2019). DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging, 11(2), 303-327.
  12. 12.
    TruDiagnostic. (2024). SYMPHONYAge: System Methylation Proxy of Heterogeneous Organ Years. Technical Documentation and Validation Report.
  13. 13.
    World Health Organization. (2020). WHO guidelines on physical activity and sedentary behaviour. Geneva: World Health Organization.

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