The Human Phenotype Project
For researchers
One of the world's most detailed health datasets, open to the research community.
About the cohort
A deeply-phenotyped cohort followed over time, built to let researchers ask new questions about the path from health to disease.
Each participant contributes thousands of measurements across clinical, molecular, imaging and behavioural domains, with repeat visits over the course of the study. The result is a longitudinal, multi-modal resource designed for discovery across the full health–disease continuum.
Cohort profile & methodology
How data is collected across each participant visit.
- Clinical visits
Standardised in-person assessments and physical measurements at each follow-up.
- Questionnaires
Lifestyle, diet, medical history and well-being surveys collected over time.
- Blood & biomarkers
Comprehensive blood panels, metabolomics and other molecular assays.
- Gut microbiome
Metagenomic sequencing of stool samples for microbial composition and function.
- Continuous glucose
CGM monitoring capturing real-world glycaemic response over multiple days.
- Imaging
Body composition, cardiac and other imaging modalities per protocol.
- Sleep & activity
Wearable-derived sleep, heart rate and physical activity records.
- Anthropometrics
Repeated body measurements tracked across the longitudinal follow-up.
Data dictionary & tools
Everything you need to explore the data and request access.
Browse every measured variable, with definitions, units and coverage.
Apply for access to de-identified data for approved research projects.
Programmatic access and tooling to query and analyse the dataset.
Representative example data to evaluate structure before applying.
Publications
Peer-reviewed papers from the study, 2014–2025, all co-authored by Prof. Eran Segal.
Collaboration
We welcome research collaborations that extend and enrich the dataset.
The Human Phenotype Project is conducted at the Weizmann Institute of Science. Research groups interested in joint analyses, linked sub-studies or shared methodology are invited to get in touch.
Contact & support
Questions about data access, applications or the dataset? The research team is here to help.