π¨New preprint just dropped π¨
medrxiv.org/content/10.1101/2025.06.24.25330216
The main output from my PhD is finally public and weβre SUPER excited about the findings! If youβre interested in what we learnt about IBD with a massive 700+ sample sc-eQTL dataset of the gut, read on!
08.07.2025 08:51 β π 30 π 13 π¬ 1 π 2
Every update helps complete the puzzle π§© of target discovery.
Huge thanks to our data providers, partners, and the entire Open Targets team for their tireless work π
18.06.2025 17:55 β π 3 π 0 π¬ 1 π 0
π₯ Weβve also redesigned the data downloads section β now built on the ML Commons Croissant standard.
Better documentation + improved AI-readiness = easier use for researchers and developers alike.
18.06.2025 17:55 β π 1 π 0 π¬ 1 π 0
More highlights from the release:
𧬠New gene burden studies
π Expanded pharmacogenetics annotations
π§ Interacting protein evidence from IntAct, Reactome, SIGNOR, STRING
π¬ First look at our molecular structure viewers!
18.06.2025 17:55 β π 1 π 0 π¬ 1 π 0
Over the past 3 months, weβve added GWAS from:
VA Million Veteran Program
210+ publications
Including the Nature meta-analysis of osteoarthritis (April 2024) π§
All integrated + contextualised with existing data + functional genomics.
18.06.2025 17:55 β π 1 π 0 π¬ 1 π 0
𧬠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.
18.06.2025 17:55 β π 2 π 0 π¬ 1 π 0
π The Summer βοΈ @opentargets.org Platform release is here!
If you thought the last update was bigβ¦ just wait till you see whatβs inside.
A quick thread on the highlights π
18.06.2025 17:55 β π 7 π 2 π¬ 2 π 0
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. π§΅π
www.biorxiv.org/content/10.1...
06.05.2025 17:00 β π 97 π 42 π¬ 1 π 2
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?
13.04.2025 18:36 β π 68 π 17 π¬ 3 π 2
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 π§¬π₯οΈ
28.03.2025 11:18 β π 9 π 4 π¬ 0 π 0
π 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 curveβcheck them out & start your submissions! π
π github.com/PRIDE-Archiv...
#Proteomics #Olink #SomaScan
28.03.2025 07:20 β π 19 π 7 π¬ 0 π 0
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!
17.12.2024 17:06 β π 1 π 0 π¬ 0 π 0
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
17.12.2024 17:06 β π 1 π 0 π¬ 1 π 0
This update will power our current target identification coverage, as well as the mechanistic interpretation and biological context
17.12.2024 17:06 β π 0 π 0 π¬ 1 π 0
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
17.12.2024 17:06 β π 1 π 0 π¬ 1 π 0
From next spring, the Open Targets Platform will incorporate the best of Open Targets Genetics into an integrated drug discovery platform π§΅
17.12.2024 17:06 β π 18 π 7 π¬ 2 π 0
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
16.12.2024 10:33 β π 46 π 24 π¬ 0 π 1
Out now! A look back at all the changes to the Open Targets Platform in the past two years π₯οΈπ§¬
We've focused on adding data and analyses to help build therapeutic hypotheses, from expanding our associations page...
10.12.2024 10:59 β π 10 π 3 π¬ 1 π 0
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-...
06.12.2024 17:06 β π 15 π 8 π¬ 1 π 0
crispy morning in the genome campusβ¦
28.11.2024 13:27 β π 8 π 0 π¬ 0 π 0
plain and simple π
22.11.2024 09:34 β π 5 π 0 π¬ 0 π 0
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.
20.11.2024 16:15 β π 122 π 42 π¬ 7 π 6
Somatic mutation and selection at epidemiological scale
As we age, many tissues become colonised by microscopic clones carrying somatic driver mutations ([1][1]β[10][2]. Some of these clones represent a first step towards cancer whereas others may contribu...
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...
20.11.2024 14:27 β π 88 π 38 π¬ 2 π 4
To complete the healing it would be good to start thinking who are we missing here π¦
20.11.2024 08:57 β π 2 π 0 π¬ 0 π 0
Models for predicting the effect of genetic variation have come a long way in the last few years. When it comes to diagnosis and preventative care, how can we make safe and yet efficient use of them? Here are some of our thoughts authors.elsevier.com/c/1k7J9_4GsX...
19.11.2024 06:54 β π 18 π 5 π¬ 0 π 0
PhD student in Artificial Intelligence @Scuola Normale Superiore, Pisa, Italy. Moving to EMBL-EBI, Cambridge, UK from 2025
Consultant in #bioinformatics and #cancer applications @insilico.consulting (all things #genomics, #liquidbiopsy, and #workflows) β’ πΈπͺ π©πͺ β’ π§¬π₯οΈ β’ https://brueffer.io
ORCiD: 0000-0002-3826-0989
PhD Student, MRC Biostatistics Unit
University of Cambridge
Gates Cambridge Scholar
Bioinformatics, genetics, single-cell, statistics
Australian π¦πΊ
Computational biology, cancer research. assoc prof at University of Toronto, PI at OICR. π¨π¦πͺπͺ
Population geneticist.
Project Scientist with Amy Goldberg π»π§¬ <- Scientist at Embark Veterinary π𧬠<- postdoc with Dan Schrider π»π§¬ <- PhD in Ecology and Evolutionary Biology at the University of Arizona π»π§¬
Washington University School of Medicine Professor | Diabetes Researcher | Stem Cell Biologist | Bioengineer | Inventor | STEM Educator | Former MIT & Harvard | Former Biotech VP | https://sites.wustl.edu/millmanlab/
ICREA researcher @ IRB Barcelona
Blending biology, chemistry and AI to enable systems pharmacology
Statistical geneticist. Professor of Human Genetics and Biostatistics at the University of Pittsburgh. Assiduously meticulous.
The CNIO Bioinformatics Unit (BU) is a team of bioinformaticians applying computational methodologies to perform genome analyses of cancer patients' βdata.
CNIO, Madrid.
https://bioinformatics.cnio.es/
tac cv.log | head -n 1 Data Engineering Lead @AstraZeneca
Bioinformatics | Biostatistics | Machine Learning | RStats | Transcriptomics | Metagenomics at
Natural Resources Institute Finland (Luke)
Posts about work and life in Finland
Medical Doctor & Scientist | Data and evidence in medicine | Building @PheironInc | via @ChariteBerlin, @berlinnovation, @UniFAU
Bioinformatician, data scientist, and GWAS enthusiast. Exploring the world through Manhattan plots and heatmaps.
Staff Scientist in the Tyrnka group at the Wellcome Sanger Institute. Interested in all things functional genomics and high content imaging.
Human Geneticist. Sex differences. Women's Health. Computational Genomics. Professor at University of Colorado. Data, Analysis, Travel, Dogs, Live music. she/her
Professor for Health Data Modelling @CharitΓ© and @PHURI | Making better medicines | Daddy of three | Views are my own
Daniel Rolph grew up in the UK foster care system, experiencing firsthand the challenges that come with it. Now, he's channelling those experiences into his debut novel, Shattered Paths
Buy Now: https://geni.us/OEi75Gh
Everyday computational biologist, Sunday gardener. Immunology fan @sangerinstitute.bsky.social. Here her own views from Yorkshire.
#InsulinForAll (me included!)