iiinova — where your digital self keeps evolving

Reposted by Philippe Jawinski

Max-Planck-Gesellschaft @maxplanck.de · 22/01/2026

Female scientists have to wait longer for their articles to be reviewed than their male colleagues. An analysis of 36.5 million papers in the life sciences shows that for females it took 115 days to reach a decision, compared to 101 days for men journals.plos.org/plosbiology/... @plosbiology.org

Median time under review (time intervened from submission to acceptance) of articles indexed in PubMed with a female first author (n = 2,562,262), a male first author (n = 3,405,821), a female corresponding author (n = 975,010), a male corresponding author (n = 1,946,469), a female first author and a female corresponding author (n = 757,878), a male first author and a male corresponding author (n = 1,357,835), all-female authors (n = 650,280), and all-male authors (n = 2,146,799)

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Philippe Jawinski @pjawinski.bsky.social · 08/12/2025

I wanted to visualise how “brain age” manifests. After MNI alignment, the differences become surprisingly subtle for the human eye.🧐 Look closely: grey/white matter darken as tissue volume drops, and ventricles widen. Each frame averages 100 UK Biobank brains. Nature Aging: doi.org/10.1038/s435...

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Philippe Jawinski @pjawinski.bsky.social · 30/10/2025

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...

radioeins.de

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...

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Philippe Jawinski @pjawinski.bsky.social · 14/10/2025

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...

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Philippe Jawinski @pjawinski.bsky.social · 01/10/2025

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.

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Philippe Jawinski @pjawinski.bsky.social · 23/09/2025

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

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Philippe Jawinski @pjawinski.bsky.social · 16/09/2025

Fantastic work on Personality Genetics—absolutely love it! 🚀 Curious if applying SBayesRC with 7M variants could push polygenic score performance even further 🤔

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Reposted by Philippe Jawinski

Stand Up for Science! @standupforscience.net · 12/02/2025

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

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Reposted by Philippe Jawinski

Michel Nivard @michelnivard.bsky.social · 28/11/2024

🚨 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.com

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

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Reposted by Philippe Jawinski

Marijn Schipper @mjschipper.bsky.social · 11/02/2025

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!

rdcu.be

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...

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Philippe Jawinski @pjawinski.bsky.social · 08/07/2024

#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

vimeo.com

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…

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