David Ochoa
@d0choa.bsky.social
310 followers 350 following 22 posts
Target discovery | Computational Biology | Human Disease Genetics | ML | Cloud computing - @opentargets.org - @ebi.embl.org
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d0choa.bsky.social
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!
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/
Reposted by David Ochoa
tobioinformatics.bsky.social
🚨New preprint just dropped 🚨
medrxiv.org/content/10.1101/2025.06.24.25330216
The main output from my PhD is finally public and we’re SUPER excited about the findings! If you’re interested in what we learnt about IBD with a massive 700+ sample sc-eQTL dataset of the gut, read on!
d0choa.bsky.social
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 🙏
d0choa.bsky.social
🥐 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.
d0choa.bsky.social
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!
d0choa.bsky.social
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.
d0choa.bsky.social
🧬 One of our big promises with bringing Open Targets Genetics to the Platform was keeping post-GWAS analysis fresh and integrated.

This release brings a 36% increase in GWAS credible sets, thanks to collaboration with the @gwascatalog.bsky.social and enhanced pipelines.
d0choa.bsky.social
🚀 The Summer ☀️ @opentargets.org Platform release is here!
If you thought the last update was big… just wait till you see what’s inside.

A quick thread on the highlights 👇
Reposted by David Ochoa
tuuliel.bsky.social
Our new contribution to the quest to find causal GWAS genes! Sam Ghatan from my lab at @nygenome.org led a systematic comparison of eQTLs and CRISPRi+scRNA-seq screens. TL;DR: they provide highly complementary insights, with ortogonal pros and cons. 🧵👇
www.biorxiv.org/content/10.1...
Reposted by David Ochoa
ericfauman.bsky.social
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?
d0choa.bsky.social
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 🧬🖥️
Reposted by David Ochoa
ypriverol.bsky.social
🚀 Big news! We've just published the official guidelines for submitting affinity proteomics data to PRIDE @pride-ebi.bsky.social (supported technologies Olink & SomaScan)!
Get ahead of the curve—check them out & start your submissions! 👇
🔗 github.com/PRIDE-Archiv...
#Proteomics #Olink #SomaScan
github.com
d0choa.bsky.social
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!
d0choa.bsky.social
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
d0choa.bsky.social
This update will power our current target identification coverage, as well as the mechanistic interpretation and biological context
d0choa.bsky.social
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
d0choa.bsky.social
From next spring, the Open Targets Platform will incorporate the best of Open Targets Genetics into an integrated drug discovery platform 🧵
Reposted by David Ochoa
jeffspence.github.io
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...
www.biorxiv.org
Reposted by David Ochoa
biorxiv-genomic.bsky.social
Specificity, length, and luck: How genes are prioritized by rare and common variant association studies https://www.biorxiv.org/content/10.1101/2024.12.12.628073v1
Reposted by David Ochoa
opentargets.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...
d0choa.bsky.social
In the upcoming NAR issue, we summarise the last 2 years of updates in the @opentargets.org Platform. One step at a time... academic.oup.com/nar/advance-...