# 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](/gentropy/gentropy.md) a highly-scalable python framework for post-GWAS analysis. A more detailed view on the data and methodology is available in: * [Data sources](/gentropy/data-sources.md) used to ingest variant annotation, GWAS and functional genomics information. * [Fine-mapping](/gentropy/fine-mapping.md) pipelines to identify likely causal variants in GWAS-significant signals in different sources. * [Enhancer-to-gene](/gentropy/enhancer-to-gene-encode-re2g.md) dataset to connect variants to genes using rE2G model scores. * [Colocalisation](/gentropy/colocalisation.md) performed on overlapping GWAS and molQTL credible sets. * [Locus-to-Gene](/gentropy/locus-to-gene-l2g.md) predictions to assess likely causal genes near identified credible sets. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://platform-docs.opentargets.org/gentropy.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.