David Ochoa

@d0choa.bsky.social

Target discovery | Computational Biology | Human Disease Genetics | ML | Cloud computing - @opentargets.org - @ebi.embl.org

🧬 New preprint: "The Human Pleiotropic Map of GWAS Associations and Therapeutic Implications" Why do some genetically supported drug targets succeed in the clinic while others fail? Across 100,526 GWAS, the same evidence flags constrained gene functions rarely safe to modulate.

The Human Pleiotropic Map of GWAS Associations and Therapeutic Implications

🚀 Announcing the Official @opentargets.org MCP! We've partnered with @anthropic.com to give AI seamless access to high-quality genetic and target-discovery data. Open for the entire community to accelerate therapeutic development. Read more at blog.opentargets.org/official-ope...

Introducing the official Open Targets Platform Model Context Protocol

We have released the first iteration of a dedicated MCP server to bring our systematic target discovery capabilities to Large Language Model (LLM)-based workflows.

blog.opentargets.org

Open Targets@opentargets.org · 7mo ago

Introducing the official Open Targets Platform Model Context Protocol 🧬🖥️ In partnership with @anthropic.com, we’ve created an MCP server making Open Targets Platform data accessible to AI-powered tools and agents Try it out and watch out for future releases: mcp.platform.opentargets.org/mcp

If you care about regulatory variants don’t miss the E2G extension of the @opentargets.org Platform. There are synergies that only a fully open science allows and this is a good one!

Jesse Engreitz@jengreitz.bsky.social · 11mo ago

Excited for a major milestone in our efforts to map enhancers and interpret variants in the human genome: The E2G Portal! e2g.stanford.edu This collates our predictions of enhancer-gene regulatory interactions across >1,600 cell types and tissues. Uses cases 👇 1/

The most famous heuristic in mapping gwas snps to genes is "it's usually the closest gene". But only slightly less well-known is this: consider the colocalized phenotypes. That is, a genetic variant seldom disrupts exactly one phenotype. What else does tugging on that thread do?

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Big thanks to the community for the great feedback we are receiving on the spring @opentargets.org Platform release. There are many positive and new ideas for improving our scientific interpretation and products. Feedback is a critical aspect of an open project's lifecycle. Please keep it coming 🧬🖥️

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What do GWAS and rare variant burden tests discover, and why? Do these studies find the most IMPORTANT genes? If not, how DO they rank genes? Here we present a surprising result: these studies actually test for SPECIFICITY! A 🧵on what this means... (🧪🧬) www.biorxiv.org/content/10.1...

Specificity, length, and luck: How genes are prioritized by rare and common variant association studies

Standard genome-wide association studies (GWAS) and rare variant burden tests are essential tools for identifying trait-relevant genes. Although these methods are conceptually similar, we show by anal...

biorxiv.org

Out now! A look back at all the changes to the Open Targets Platform in the past two years 🖥️🧬 We've focused on adding data and analyses to help build therapeutic hypotheses, from expanding our associations page...

Resharing here a recent X post. In this preprint, we introduce an improved version of NanoSeq, a duplex sequencing protocol with <5 errors per billion bp in single DNA molecules, and use it to study the somatic mutation landscape of oral epithelium in >1000 people. 1/ www.medrxiv.org/content/10.1...

Somatic mutation and selection at epidemiological scale

As we age, many tissues become colonised by microscopic clones carrying somatic driver mutations ([1][1]–[10][2]. Some of these clones represent a first step towards cancer whereas others may contribu...

medrxiv.org