# GWAS & functional genomics

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](https://platform-docs.opentargets.org/gentropy/gentropy) a highly-scalable python framework for post-GWAS analysis.

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

* [Data sources](https://platform-docs.opentargets.org/gentropy/data-sources) used to ingest variant annotation, GWAS and functional genomics information. 
* [Fine-mapping](https://platform-docs.opentargets.org/gentropy/fine-mapping) pipelines to identify likely causal variants in GWAS-significant signals in different sources.
* [Enhancer-to-gene](https://platform-docs.opentargets.org/gentropy/enhancer-to-gene-encode-re2g) dataset to connect variants to genes using rE2G model scores.
* [Colocalisation](https://platform-docs.opentargets.org/gentropy/colocalisation) performed on overlapping GWAS and molQTL credible sets.
* [Locus-to-Gene](https://platform-docs.opentargets.org/gentropy/locus-to-gene-l2g) predictions to assess likely causal genes near identified credible sets.