Partitioned Linkage Disequilibrium Scores for ROADMAP Regulatory Elements

Partitioned linkage disequilibrium scores for active regulatory elements in ROADMAP epigenomics datasets, accompanying the paper by Lynall et al. 2021. The data is formatted for stratified LDSC analysis and is derived from a union of IDEAS annotations representing enhancers and active promoters. The accompanying code is available on GitHub.

Use Cases

• Perform stratified LD score regression analysis based on partitioned LD scores for regulatory elements.
• Investigate the heritability enrichment of complex traits in active regulatory regions defined by ROADMAP IDEAS annotations.
• Compare linkage disequilibrium patterns specifically within enhancer and promoter regions across different tissues.

Strengths

• Data is specifically formatted for stratified LDSC analysis, a standard tool in statistical genetics.
• Regulatory element annotations are derived from the authoritative ROADMAP Epigenomics Project IDEAS tracks.
• Accompanying code for the associated 2021 paper is publicly available, aiding reproducibility.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is explicitly noted as being for European participants, limiting generalizability to other populations.

Provenance

Source

University of Cambridge, accompanying the paper Lynall et al. 2021.

Collection Method

Derived from ROADMAP Epigenomics datasets and IDEAS annotations, processed for LD score calculation.

Geography

Data is for European participants; specific geographic coverage within that is unknown.