Meta-analysis amplifies your statistical power, helping to detect robust genetic associations with rare variants and to reveal population-specific genetic effects.
| deCODE | UK Biobank | FinnGen | Our Future Health |
| All of US | Million Veterans Program | Biobank Japan | China Kadoorie |
| AGD | Precise Singapore | Discover Me South Africa | Galatea |
| Ovation | Helix | IBD Plexus | Truveta |
The catch? Each dataset is captive within a “walled garden”, hosted in its own SaaS cloud environment that may or may not have the functionality and performance you need. Scientists struggle with these persistent challenges:
- Getting access to multiple, disconnected platforms
- Navigating multiple vendors’ analytical environments, which may involve uploading analytical or annotation packages the scientist is accustomed to using
- Harmonizing phenotype definitions and dealing with allele flipping
- Exporting derived results for downstream analysis (including meta-analysis) while maintaining data provenance
Paradigm4’s solution combines export services with a unified biomedical analytics platform optimized specifically for large summary stats datasets and cross-dataset analysis.
- Our Customers Solutions team—with experience working in these walled gardens—can set up and execute data queries, variant annotation pipelines, and summary stats data analyses.
- Our REVEAL platform serves as a central hub for accessing data and synthesizing knowledge across diverse datasets
- The Meta-analysis application comes with:
- Preloaded with summary statistics data from organizations like the Broad Institute, deCODE, and FinnGen
- Data connectors and pre-processing pipelines for pulling data from walled gardens into REVEAL
- Ready-to-run Jupyter notebooks featuring meta-analysis tools like METAL and remeta, plus essential tools like PRS, MR, PWCoCo, Cojo
- P4’s DataTrail tracks provenance and the workflows used to generate derived results
Plus, REVEAL is highly optimized for sub-second, constant-time interactive performance even as the number of association datasets grow.
Can P4 help you REVEAL more powerful evidence for your research questions?
