🆕GWAS & functional genomics

Open Targets post-GWAS analysis pipelines

The Platform is built upon a significant effort to analyse genome-wide associations studies and interpret them in the context of functional genomics studies. This effort to inform target identification and prioritisation datasets leverages gentropy a highly-scalable python framework for post-GWAS analysis.

A more detailed view on the data and methodology is available in:

• Data sources used to ingest variant annotation, GWAS and functional genomics information.

• Fine-mapping pipelines to identify likely causal variants in GWAS-significant signals in different sources.

• Interval dataset to connect variants to genes using epigenetics datasets.

• Colocalisation performed on overlapping GWAS and molQTL credible sets.

• Locus-to-Gene predictions to assess likely causal genes near identified credible sets.