Aging Biomarkers Dashboard

Choose your path

What each tab lets you do

Featured collections

Six windows into aging biology.

Jump in

Fast entry points

Tap any marker to jump into the detailed explorer.

Deep dive

Explore a biomarker

One marker at a time, with quieter controls and clearer age-pattern views.

Choose a marker

Curated blood biomarkers

Search by public name or filter down to one of the featured collections.

Search Collection

Global controls

Read the same marker in different ways

Cohort

Trim

View

Spread uses

Sex colors

Female is shown in red. Male is shown in blue. In Both mode, the two trajectories are drawn separately.

How to read this chart

Technical details

Condition comparisons

Disease Explorer

The main explorer stays healthy-only. This tab intentionally brings selected disease cohorts back in so you can compare cross-sectional biomarker profiles against that healthy baseline.

Choose a condition

Healthy baseline, or disease vs disease

Each disease cohort comes from the processed NHANES participant flags. Leave the second selector on healthy baseline for the classic view, or pick a second condition to compare two disease groups directly.

Second group

Choose a test

Start with familiar separators

Search all biomarkers

Comparison controls

Use the same cohort and trim logic

Cohort

Trim

How to read this comparison

Condition details

Overview rankings

What changes most?

Use pooled or female-plus-male rankings together with raw or trimmed summaries to see which markers move the most.

Counterintuitive patterns

What’s surprising?

These are the patterns people tend to remember and share: familiar markers that move the opposite way, hide their shifts in the tails, or split sharply by sex.

Relative trajectories

Compare biomarkers on the same scale

Every line is normalized to its own 20-24 baseline so you can compare unlike units without flattening the story.

Personal calculator

Try the open blood-age model.

The published PhenoAge equation, running locally in your browser.

What this model is

PhenoAge is an open blood-based model from Morgan Levine and colleagues. It combines age plus nine routine biomarkers and reports the age in a U.S. reference population with a similar mortality-associated blood profile.

Enter your labs

Use the values from one blood draw

Birth date Used to compute chronological age at the time of the blood draw. Blood draw date PhenoAge should use age on the lab date, not today.

Sex at birth Recorded for context only. This published PhenoAge equation does not use sex.

Albumin

Published unit inside the model: g/L. Creatinine

Published unit inside the model: umol/L. Glucose

Published unit inside the model: mmol/L. CRP or hs-CRP

The published model uses log(CRP) in mg/dL, so this value must be greater than 0. Lymphocyte percent Use the reported percentage, not an absolute count. Mean cell volume Enter fL. RDW Enter the percent value from your CBC. Alkaline phosphatase Enter U/L. White blood cell count

These two WBC unit choices are numerically equivalent.

This page does not store your lab values in the URL or upload them from the browser. Use one set of labs from the same draw whenever possible.

PhenoAge

Waiting for a complete blood panel.

Your estimate

Enter your values to calculate PhenoAge.

PhenoAge -- years

Calendar age -- at blood draw

Difference -- PhenoAge minus age

PhenoAge is a mortality-oriented blood summary, not a hidden organ-by-organ clock. Think of it as a biological age test that asks: based on your blood markers, what age has a mortality risk most similar to yours?

Caveats

Calibrated on U.S. adults in NHANES, so it is a population-reference model rather than a direct internal aging measurement.
Inflammation, infection, medications, dehydration, and lab methods can move the estimate.
It should not be used as a diagnosis, screening decision, or substitute for medical advice.
CRP still needs a positive numeric value because the equation uses log(CRP).

Sources and credit

Levine ME et al. (2018), AGING.

The paper and supplement describe the open phenotypic age blood model, its NHANES III calibration set, and the published coefficients used here. Paper | Supplement

Liu Z et al. (2018), PLOS Medicine.

This later paper evaluated the measure against mortality and disease burden in later NHANES cohorts. DOI

Tell us what is missing

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Subject Message

Methods in plain language

What this explorer is and is not.

NHANES is a repeated cross-sectional U.S. survey run by the CDC's National Center for Health Statistics. It uses public laboratory, demographics, and health-questionnaire files from the 1999-2000 through 2017-March 2020 pre-pandemic releases.

Age bins run from 20-24 through 80-84. Ages 85 and older are excluded from the age-bin trend summaries.

The healthy cohort excludes pregnancy, diagnosed diabetes, diagnosed cardiovascular disease, cancer history, kidney failure indicators, and liver disease history.

The charts are cross-sectional. They compare different people at different ages, not the same people followed over time.

Sex divergence shows whether female and male median curves move apart after each is normalized to its own 20-24 baseline.

Which NHANES data are included?

The site uses public NHANES laboratory, demographics, and questionnaire files from the 1999-2000, 2001-2002, 2003-2004, 2005-2006, 2007-2008, 2009-2010, 2011-2012, 2013-2014, 2015-2016, and 2017-March 2020 pre-pandemic releases.

Full list of biomarkers in this explorer

Technical notes

Default public metric set

Median change, IQR change, SEM change, SD change, upper-tail change, lower-tail change, quantile-skewness change, and sex divergence score.

Compare view

Every selected line is expressed as percent change from the marker's own 20-24 baseline.

Use responsibly

This is a population-level pattern explorer. It is not a clinical reference interval calculator and it does not estimate personal risk.