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The Human Genotype-Phenotype Map

Population Size

0

People

Population Size statistic card

Years

2026

Years statistic card

Associated BioSamples

Other

Associated BioSamples statistic card

Geographic coverage

European Ancestry

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

The Human Genotype-Phenotype Map (GPMap) is an integrated discovery engine, using fine-mapping and colocalization to identify causal links between thousands of complex traits and molecular layers (eQTL, pQTL, sQTL, and methQTL).

A compilation of 15,000 GWASes and 2.8 million molecular summary statistic QTL measurements, which have been all colocalized and released as a set of information related to the human genome

Documentation

The Human Genotype-Phenotype Map (GPMap) is an integrated discovery engine designed to bridge the gap between GWAS discovery and functional follow-up. While standard browsers identify genes in proximity to lead SNPs, the GPMap uses rigorous fine-mapping and colocalization to identify causal links between thousands of complex traits and molecular layers (eQTL, pQTL, sQTL, and methQTL).

Core Capabilities
Causal Locus Resolution: Transition from nearest gene heuristics to empirical evidence. By scanning Colocalization Groups (CGs), you can identify the specific phenotypes and molecular mechanisms sharing a genetic architecture at a single locus. Systemic Pleiotropy & Comorbidity: Instantly visualize pleiotropic neighbors. The GPMap allows you to deconvolve whether a variant affects multiple traits independently (horizontal pleiotropy) or acts through a molecular mediator like a protein (vertical pleiotropy).

Precision MR Instruments: Streamline Mendelian Randomization by selecting instruments backed by high colocalization posterior probabilities (H4>0.8). This minimizes LD-contamination and ensures your IVs are functionally relevant.

User-Led Extensibility: Beyond our library of 4,500+ traits, you can upload your own GWAS summary statistics. The platform will automatically run fine-mapping and colocalization against our entire multi-omic database to identify supported mechanisms for your novel hits.

Dataset type

Health and disease, Omics

Provenance

Purpose of dataset collection

Other

Source of data extraction

Other

Collection source setting

Other

Biological sample availability

Other

Details

Publishing frequency

Irregular

Version

1.0.0

Modified

17/03/2026

Citation Requirements

Univsersity of Bristol

Coverage

Start date

22/02/2026

Time lag

Not applicable

Geographic coverage

European Ancestry

Minimum age range

1

Maximum age range

150

Follow-up

Other

Accessibility

Language

en

Alignment with standardised data models

OTHER

Controlled vocabulary

OTHER

Data Access Request

Dataset pipeline status

Available

Time to dataset access

Not applicable

Access request cost

Free

Access method category

Open access

Access service description

The University grants you a non-exclusive, non-transferable revocable licence to access and use the Platform for private or non-commercial research purposes only.

Data use limitation

General research use,Not for profit use

Data use requirements

Not for profit use

Data Controller

NIHR Bristol Biomedical Research Centre

Data Processor

NIHR Bristol Biomedical Research Centre

Dataset Types: Health and disease, Omics


Collection Sources: Other