Philippe Jawinski
@pjawinski.bsky.social
Neuroscientist | Postdoc @ Humboldt-Universität zu Berlin. Interested in biological psychology, sleep 😴, neuroimaging 🧠, and molecular genetics 🧬.
https://hu-berlin.de/jawinski
https://hu-berlin.de/jawinski
Pinned
Genome-wide analysis of brain age identifies 59 associated loci and unveils relationships with mental and physical health - Nature Aging
This genomic study of magnetic resonance imaging-based brain age in 56,348 people identifies 59 genetic loci, links brain aging to mental and physical health, and suggests high blood pressure and type 2 diabetes as causal factors of brain aging.
nature.com
🧠 Why do some brains age faster than others?
🧬 Our new Nature Aging study of over 56,000 participants explores the genetics of the “brain age gap” — the difference between your brain’s biological and chronological age.
nature.com/articles/s43587-025-00962-7
Thread below 👇
🧬 Our new Nature Aging study of over 56,000 participants explores the genetics of the “brain age gap” — the difference between your brain’s biological and chronological age.
nature.com/articles/s43587-025-00962-7
Thread below 👇
Exciting times: Ich durfte bei RBB Radioeins ein paar Minuten über unsere Studie zum biologischen Alter des Gehirns in über 56.000 Teilnehmer:innen der UK Biobank sprechen.
👉 Interview: www.radioeins.de/programm/sen...
👉 Studie: www.nature.com/articles/s43...
👉 Interview: www.radioeins.de/programm/sen...
👉 Studie: www.nature.com/articles/s43...
So altert das Gehirn
In einer Studie der HU Berlin wurden genetische Ursachen und beeinflussbare Risiken für die Alterung des Gehirns untersucht. Grundlage der Analyse sind die Daten der Britischen UK Biobank. Für die Stu...
www.radioeins.de
October 30, 2025 at 11:28 AM
Exciting times: Ich durfte bei RBB Radioeins ein paar Minuten über unsere Studie zum biologischen Alter des Gehirns in über 56.000 Teilnehmer:innen der UK Biobank sprechen.
👉 Interview: www.radioeins.de/programm/sen...
👉 Studie: www.nature.com/articles/s43...
👉 Interview: www.radioeins.de/programm/sen...
👉 Studie: www.nature.com/articles/s43...
Largest multi-ancestry genomic study of Alzheimer’s disease led by @euffelmann.bsky.social and @daniposthu.bsky.social et al. — big leap forward for polygenic risk prediction and potential drug target discovery.
Preprint: www.medrxiv.org/content/10.1...
Preprint: www.medrxiv.org/content/10.1...
Summary: We analyzed ~180K cases & 2.6M controls, identified 127 loci (48 new), improved heritability estimates (19% in Europeans) & PGS prediction (mean 13%), found potential drug targets, and enrichment in microglia and three neuronal cell types.
More details below ⬇️
More details below ⬇️
October 14, 2025 at 1:06 PM
Largest multi-ancestry genomic study of Alzheimer’s disease led by @euffelmann.bsky.social and @daniposthu.bsky.social et al. — big leap forward for polygenic risk prediction and potential drug target discovery.
Preprint: www.medrxiv.org/content/10.1...
Preprint: www.medrxiv.org/content/10.1...
Our study on the genetics of brain age with >56,000 participants is out in Nature Aging — and here comes a more digestible Research Briefing with behind-the-paper insights and editor/expert reflections.
🧠 Direct link: www.nature.com/articles/s43...
🔓 Open link: rdcu.be/eJ95n
🧠 Direct link: www.nature.com/articles/s43...
🔓 Open link: rdcu.be/eJ95n
New genetic insights show how modifiable risk factors influence brain aging - Nature Aging
Using genome-wide analyses in over 56,000 individuals, we identify 59 genetic loci linked to brain aging, of which 39 are novel. This work also uncovers key biological pathways that connect brain aging to mental, metabolic, cardiovascular and lifestyle factors, and offers insights for promoting healthy aging and preventing neurodegenerative diseases.
www.nature.com
October 9, 2025 at 3:16 PM
Our study on the genetics of brain age with >56,000 participants is out in Nature Aging — and here comes a more digestible Research Briefing with behind-the-paper insights and editor/expert reflections.
🧠 Direct link: www.nature.com/articles/s43...
🔓 Open link: rdcu.be/eJ95n
🧠 Direct link: www.nature.com/articles/s43...
🔓 Open link: rdcu.be/eJ95n
Reposted by Philippe Jawinski
A project many years in the process, we’re pleased to present our work on multi-ancestry meta-analysis across a boatload of traits in the UK Biobank: www.nature.com/articles/s41...
Pan-UK Biobank genome-wide association analyses enhance discovery and resolution of ancestry-enriched effects - Nature Genetics
Genome-wide analyses for 7,266 traits leveraging data from several genetic ancestry groups in UK Biobank identify new associations and enhance resources for interpreting risk variants across diverse p...
www.nature.com
September 18, 2025 at 5:25 PM
A project many years in the process, we’re pleased to present our work on multi-ancestry meta-analysis across a boatload of traits in the UK Biobank: www.nature.com/articles/s41...
🧠 Why do some brains age faster than others?
🧬 Our new Nature Aging study of over 56,000 participants explores the genetics of the “brain age gap” — the difference between your brain’s biological and chronological age.
nature.com/articles/s43587-025-00962-7
Thread below 👇
🧬 Our new Nature Aging study of over 56,000 participants explores the genetics of the “brain age gap” — the difference between your brain’s biological and chronological age.
nature.com/articles/s43587-025-00962-7
Thread below 👇
Genome-wide analysis of brain age identifies 59 associated loci and unveils relationships with mental and physical health - Nature Aging
This genomic study of magnetic resonance imaging-based brain age in 56,348 people identifies 59 genetic loci, links brain aging to mental and physical health, and suggests high blood pressure and type 2 diabetes as causal factors of brain aging.
nature.com
October 7, 2025 at 9:38 AM
🧠 Why do some brains age faster than others?
🧬 Our new Nature Aging study of over 56,000 participants explores the genetics of the “brain age gap” — the difference between your brain’s biological and chronological age.
nature.com/articles/s43587-025-00962-7
Thread below 👇
🧬 Our new Nature Aging study of over 56,000 participants explores the genetics of the “brain age gap” — the difference between your brain’s biological and chronological age.
nature.com/articles/s43587-025-00962-7
Thread below 👇
She gently reminded us that every primate — just like us — has their own personality, emotions, relationships, and individuality. Because of her, we see our place more clearly among the other beings we share this world with.
October 1, 2025 at 7:34 PM
She gently reminded us that every primate — just like us — has their own personality, emotions, relationships, and individuality. Because of her, we see our place more clearly among the other beings we share this world with.
A while ago, when I was in my first semester teaching behavioral genetics, I was eager to discuss candidate gene controversies. I created an interactive funnel plot based on the meta-analysis by Karg et al. (2011), who reported strong evidence for an effect of 5-HTTLPR × stress on depression. 1/2
September 23, 2025 at 2:59 PM
A while ago, when I was in my first semester teaching behavioral genetics, I was eager to discuss candidate gene controversies. I created an interactive funnel plot based on the meta-analysis by Karg et al. (2011), who reported strong evidence for an effect of 5-HTTLPR × stress on depression. 1/2
Fantastic work on Personality Genetics—absolutely love it! 🚀 Curious if applying SBayesRC with 7M variants could push polygenic score performance even further 🤔
Extremely excited to share the first effort of the Revived Genomics of Personality Consortium: A highly-powered, comprehensive GWAS of the Big Five personality traits in 1.14 million participants from 46 cohorts. www.biorxiv.org/content/10.1...
September 16, 2025 at 5:08 PM
Fantastic work on Personality Genetics—absolutely love it! 🚀 Curious if applying SBayesRC with 7M variants could push polygenic score performance even further 🤔
Reposted by Philippe Jawinski
Welcome to the Bluesky account for Stand Up for Science 2025!
Keep an eye on this space for updates, event information, and ways to get involved. We can't wait to see everyone #standupforscience2025 on March 7th, both in DC and locations nationwide!
#scienceforall #sciencenotsilence
Keep an eye on this space for updates, event information, and ways to get involved. We can't wait to see everyone #standupforscience2025 on March 7th, both in DC and locations nationwide!
#scienceforall #sciencenotsilence
February 12, 2025 at 5:04 PM
Welcome to the Bluesky account for Stand Up for Science 2025!
Keep an eye on this space for updates, event information, and ways to get involved. We can't wait to see everyone #standupforscience2025 on March 7th, both in DC and locations nationwide!
#scienceforall #sciencenotsilence
Keep an eye on this space for updates, event information, and ways to get involved. We can't wait to see everyone #standupforscience2025 on March 7th, both in DC and locations nationwide!
#scienceforall #sciencenotsilence
Reposted by Philippe Jawinski
🚨 This will become a curated list of awesome tools for complex trait genetics, **add yours**! it may become a review in which case those who contribute are invited as co-authors.
GitHub - MichelNivard/awesome-complex-trait-genetics: A list of awesome tools for complex trait genetics.
A list of awesome tools for complex trait genetics. - MichelNivard/awesome-complex-trait-genetics
github.com
November 28, 2024 at 9:21 AM
🚨 This will become a curated list of awesome tools for complex trait genetics, **add yours**! it may become a review in which case those who contribute are invited as co-authors.
Reposted by Philippe Jawinski
Incredibly proud to see our latest work out in Nature Genetics: www.nature.com/articles/s41...
Here we share our FLAMES framework, which predicts the effector genes in GWAS loci with state-of-the-art precision🔥
Special thanks to @daniposthu.bsky.social
A full thread describing findings below!
Here we share our FLAMES framework, which predicts the effector genes in GWAS loci with state-of-the-art precision🔥
Special thanks to @daniposthu.bsky.social
A full thread describing findings below!
Prioritizing effector genes at trait-associated loci using multimodal evidence
Nature Genetics - FLAMES is a machine learning approach combining variant fine-mapping, SNP-to-gene annotations and convergence-based gene prioritization scores to identify candidate effector genes...
rdcu.be
February 11, 2025 at 9:58 AM
Incredibly proud to see our latest work out in Nature Genetics: www.nature.com/articles/s41...
Here we share our FLAMES framework, which predicts the effector genes in GWAS loci with state-of-the-art precision🔥
Special thanks to @daniposthu.bsky.social
A full thread describing findings below!
Here we share our FLAMES framework, which predicts the effector genes in GWAS loci with state-of-the-art precision🔥
Special thanks to @daniposthu.bsky.social
A full thread describing findings below!
#OHBM2024 in Seoul was an unforgettable experience! Met brilliant minds, engaged in heated discussions, and partied with incredible people. ⬇️ Impressions from the conference and the city! 🏙️ Massive thanks to the USC team for the stunning drone footage of the ENIGMA rooftop party. vimeo.com/980726262
OHBM 2024 in Seoul - Impressions from the conference and the city
This is "OHBM 2024 in Seoul - Impressions from the conference and the city" by Philippe on Vimeo, the home for high quality videos and the people who love…
vimeo.com
July 8, 2024 at 4:18 PM
#OHBM2024 in Seoul was an unforgettable experience! Met brilliant minds, engaged in heated discussions, and partied with incredible people. ⬇️ Impressions from the conference and the city! 🏙️ Massive thanks to the USC team for the stunning drone footage of the ENIGMA rooftop party. vimeo.com/980726262