Emil Uffelmann

@euffelmann.bsky.social

Statistical genetics

This is quite useful for genetics, but dependent on whether any of the inputs are genetics specific, might also be useful for psychologists and social scientists. Go from nagelkerke’s R2 to the R2 on the liability scale ( a latent variable that underlies your binary outcome)

Emil Uffelmann@euffelmann.bsky.social · 4d ago

New preprint 🧵 Nagelkerke's R² is widely used to report polygenic score performance for binary traits, but it depends on prevalence and case fraction, so you can't compare it across diseases or studies. We derive a simple conversion to the liability scale. 👇

New preprint 🧵 Nagelkerke's R² is widely used to report polygenic score performance for binary traits, but it depends on prevalence and case fraction, so you can't compare it across diseases or studies. We derive a simple conversion to the liability scale. 👇

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We are pleased to announce the release of FinnGen DF13 results! 🧬 While the number of participants remains unchanged, DF13 incorporates updated health register data, increasing the number of cases across most disease endpoints. Browsing & download instructions here: www.finngen.fi/en/access_re...

And here's another, this one for @newscientist.com, on the biggest genome-wide association study yet of Alzheimer’s. It has identified 48 new gene locations associated with the condition, which could help us find drug targets to prevent it. 🧪 #health #medicine www.newscientist.com/article/2528...

Huge study of Alzheimer’s genetics identifies new drug targets

Almost 50 more genes have been flagged as being linked to Alzheimer’s, along with changes in activity in crucial cells that disappear as dementia progresses

newscientist.com

Technology can change the world in ways that are unimaginable until they happen. Switching on an electric light would have been unimaginable for our medieval ancestors. In their childhood, our grandparents would have struggled to imagine a world connected by smartphones and the Internet.

This image presents a long-term timeline of technology from the distant past to the present and into the future. The timeline is divided into several sections. 

At the top, there's a linear progression highlighting significant technological advancements, starting from around 1800. Key milestones include the invention of the steam locomotive, the first vaccine, and the discovery of DNA. The timeline shows notable events like the Wright brothers' flight in 1903, the beginning of the Internet in 1991, and the 21st century’s focus on artificial intelligence and space exploration.

The timeline also includes a spiral that represents the vast expanse of human history, where each turn symbolizes 200,000 years. This section mentions major milestones like the use of tools, the control of fire, and the emergence of Homo sapiens.

The image is labeled "A long-term timeline of technology" and is attributed to Our World in Data, created by Max Roser, licensed under CC-BY.

As we have learned, genes have dose-dependent effects on psychiatric traits. DOSAGE, it turns out, is a key element that helps unravel mechanisms of gene → pathway → cell type → brain region → diagnosis. Here we developed a framework to characterize cellular processes that mediate genetic effects.

medRxivpreprint@medrxivpreprint.bsky.social · last yr.

Psychiatric disorders converge on common pathways but diverge in cellular context, spatial distribution, and directionality of genetic effects https://www.medrxiv.org/content/10.1101/2025.07.11.25331381v1

🚨New preprint is out! How do genetic effects on complex traits change with age? In this work, we compare different approaches to obtain age-varying genetic effects, and show how design and modeling choices can impact the conclusions we draw. shorturl.at/17snd A thread 🧵👇

Design and model choices shape inference of age-varying genetic effects on complex traits

Understanding how genetic influences on complex traits change with age is a fundamental question in genetic epidemiology. Both cross-sectional (between-subject) and longitudinal (within-subject) appro...

shorturl.at

“I would like to cure brain cancer. I think that's not particularly controversial.” Be that as it may, the NIH terminated that scientist's grant. Here's a huge survey of the 2,500 grants that NIH has killed or delayed...so far. Gift link: nyti.ms/43Jz1yJ

A chart showing cancelled NIH grants

Personally I think it's totally defensible for the head of a meteorology department to say, "you can't work here unless you believe in climate change." That department is going to end up with zero conservatives in it but it's not the department that needs to change!