MetaBrain Brain Expression
Access
Controlled access. Request data access for MetaBrain on the AD Knowledge Portal; you need a Synapse account. See How to get the data.
| Where | ID | Access | What you get |
|---|---|---|---|
| Synapse | syn69670592 | Controlled | Files described below |
Other Synapse IDs on this page syn69670597 syn69670600 syn69670611 syn69670630 syn69865816
pip install synapseclient
synapse login
synapse get -r syn69670592Summary
MetaBrain is a large-scale meta-analysis of brain expression data across multiple brain regions and cohorts. The resource aggregates RNA-seq data from multiple independent studies to enable robust eQTL discovery across brain regions relevant to neurological and psychiatric disorders.
Dataset Information
- Cohorts: Multiple cohorts (see MetaBrain.nl)
- Brain regions: Cerebellum, Cortex, Basal ganglia, Spinal cord, Hippocampus
- Data type: Bulk RNA-seq
- Samples: ~2,000+ samples per region (region-specific)
Omics Data
Gene expression matrices
Expression matrices (TMM-normalized counts) available from MetaBrain.nl.
QTL Analysis
QTL analysis for this dataset is documented in ../../qtl/eQTL/MetaBrain_brain_expression_qtl.md.
Flagship paper analyses:
- Fine-mapping (SuSiE-RSS): syn69670592
- TWAS weight models: syn69670600
- Quantile TWAS (qTWAS) models: syn69670611
- Multi-context colocalization (ColocBoost): syn69670597
- AD GWAS–xQTL colocalization results: syn69865816
- AD GWAS–xQTL colocalization models: syn69670630