The Human Phenotype Project
THE WORLD'S DEEPEST PHENOTYPE MULTI-OMIC STUDY
OUR MISSION IS TO IMPROVE HUMAN HEALTH
By collecting & sharing the world’s deepest phenotype multi-omic datasets
100,000 Participants, Globally, Over 25 Years
The Human Phenotype Project is a landmark initiative, powered by Pheno.AI, that set out to deeply profile hundreds of thousands of participants from around the world, in an effort to unlock the information researchers need to improve human health.
We are profiling participants from multiple countries at the unprecedented depth & consistency required to discover the next breakthroughs across healthcare, life sciences & pharma industries.
DIVERSITY
Now scaling to >100 000 participants from around the globe
LONGITUDINAL
Collecting data from participants annually for a period of 25 years
DEPTH
Deep phenotype multi-omic characterization for every participant profiled
RESEARCH READY
Data cleaned & documented ready for your research
For Researchers
The Human Phenotype Project data is available to universities and other research institutions who wish to conduct human health research
Build Your Cohort
Build your cohort faster and cheaper than ever before. Cohort-in-a-Box is an end-to-end standardized solution that enables researchers to join the Human Phenotype Project by profiling their own multi-omic longitudinal cohort
Publications
Phenome-wide associations of human aging uncover sex-specific dynamics
Identification of gut microbiome features associated with host metabolic health in a large population-based cohort
From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis
Continuous glucose monitoring and intrapersonal variability in fasting glucose
Unveiling Associations Between Retinal Microvascular Architecture and Phenotypes Across Thousands of Healthy Subjects
Genome-wide association studies and polygenic risk score phenome-wide association studies across complex phenotypes in the human phenotype project
A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research
Systemic antibody responses against human microbiota flagellins are overrepresented in chronic fatigue syndrome patients
An atlas of robust microbiome associations with phenotypic traits based on large-scale cohorts from two continents
Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease
Clinical efficacy of fecal microbial transplantationtreatment in adults with moderate‐to‐severe atopicdermatitis
Personalized Postprandial Glucose Response–Targeting Diet Versus Mediterranean Diet for Glycemic Control in Prediabetes
Population-wide diversity and stability of serum antibody epitope repertoires against human microbiota
10 K: a large‐scale prospective longitudinal study in Israel
Potential role of indolelactate and butyrate in multiple sclerosis revealed by integrated microbiome-metabolome analysis
A reference map of potential determinants for the human serum metabolome
Rich data sets could end costly drug discovery
Axes of a revolution: challenges and promises of big data in healthcare
Sub-genomic variation in the gut microbiome associates with host metabolic health
Environment dominates over host genetics in shaping human gut microbiota
Persistent microbiome alterations modulate the rate of post-dieting weight regain
Personalized Nutrition by Prediction of Glycemic Responses
Growth dynamics of gut microbiota in health and disease inferred from single metagenomic samples
Artificial sweeteners induce glucose intolerance by altering the gut microbiota
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Contact us
Thank you for contacting Pheno.AI.
For more information, please, email us at info@humanphenotypeproject.org