David Ochoa

David Ochoa

@d0choa.bsky.social

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

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🧬 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.

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Other highlights: 🧬 ENCODE-rE2G scores now in L2G → 5% gain in selectivity 📊 710 new GWAS Catalog studies → 5,000+ new credible sets (incl. Rand et al., Nat Genet 2025) ⚡ ClickHouse migration complete → ~2x query speed ☁️ Platform data now on AWS Open Data Program

This is the first in a series of updates aimed at maximising what we can learn from clinical reports about the intended and unintended consequences of target modulation. More to come.

The needle in the haystack problem: spotting novel drug targets among redundant evidence. Our solution? A time-series novelty metric for Open Targets Platform associations. Thanks to Coté Falaguera & @opentargets.org partners for making this happen.

Open Targets@opentargets.org

Out now in Nature Communications! 🧬🖥️ An Open Targets team developed a metric for the novelty of a target in the context of a disease, according to current available knowledge. This allows drug discovery scientists to easily identify potentially novel targets www.nature.com/articles/s41...

🚀 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...

blog.opentargets.orgIntroducing the official Open Targets Platform Model Context ProtocolWe have released the first iteration of a dedicated MCP server to bring our systematic target discovery capabilities to Large Language Model (LLM)-based workflows.
Open Targets@opentargets.org

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

David Ochoa reposted

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

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/

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Every update helps complete the puzzle 🧩 of target discovery. Huge thanks to our data providers, partners, and the entire Open Targets team for their tireless work 🙏

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More highlights from the release: 🧬 New gene burden studies 💊 Expanded pharmacogenetics annotations 🧠 Interacting protein evidence from IntAct, Reactome, SIGNOR, STRING 🔬 First look at our molecular structure viewers!

🥐 We’ve also redesigned the data downloads section — now built on the ML Commons Croissant standard. Better documentation + improved AI-readiness = easier use for researchers and developers alike.

Over the past 3 months, we’ve added GWAS from: VA Million Veteran Program 210+ publications Including the Nature meta-analysis of osteoarthritis (April 2024) 🧠 All integrated + contextualised with existing data + functional genomics.

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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?

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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The merged product will bring the best of both worlds in a single web application, covering all journeys from identifying the likely causal signals to the prioritising factors relevant to target progression

We might not get everything right from the first shot. Still, we hope that by providing an open framework and the community's help, we could consolidate our collective understanding of disease-causing genetics. Stay tuned!

The update will include a refreshed post-GWAS analysis covering state-of-the-art data and methodologies, resulting on 2.5M GWAS and molQTL credible sets, colocalisation analysis and L2G predictions

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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...

biorxiv.orgSpecificity, length, and luck: How genes are prioritized by rare and common variant association studiesStandard 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...

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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...

plain and simple 👌

Open Targets@opentargets.org

"Integration, integration, integration"! Dame Janet Thornton describes how she came up with the idea for the Open Targets Platform The full Open Targets founders panel is available to watch on YouTube: youtu.be/an2fer-dxXU #OpenTargetsAt10

David Ochoa reposted

My group's work dissecting the contribution of common variants to rare neurodevelopmental conditions is now out at nature.com/articles/s41..., led by co-first authors Qinqin Huang (not yet on blue sky) and @emiliewigdor.bsky.social . See below for Emilie's tweetorial.

nature.comExamining the role of common variants in rare neurodevelopmental conditions - NaturePatients with neurodevelopmental conditions without a monogenic diagnosis have a higher polygenic burden than those with a monogenic diagnosis. Non-transmitted common all...
Emilie Wigdor@emiliewigdor.bsky.social

📣 Big news! Our tag-team effort on common variants in rare neurodevelopmental conditions is now out in Nature 📣 Co-first authoring with the brilliant Qinqin Huang🌟—proof that teamwork does make the dream work. 💪 www.nature.com/articles/s41...

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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...

medrxiv.orgSomatic mutation and selection at epidemiological scaleAs 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...

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