3 euros 60. The change from a 5 euro note after purchasing an excellent coffee americano in Milan.

The GEMINI team: a fantastic group of researchers using multiple multi-modal primary care and genetic datasets to help understand 2546 pairs of long term common conditions. #MLTC

thanks again to Zoltan and the Lausanne team.

Update from the Geneva Common Disease Genetics and Genomics team. Welcoming newcomer Anna Ramisch with a day out visiting the super smart Kutalik team in Lausanne. And some sunny early Springtime Alps as a backdrop. That's the dream team of Aurélie, Liza, Lauric, some old bloke and Anna (l to r).

Here's the data. Can someone let Nigel Farage, Marine le Pen, the AFD, etc etc know ? Not just the numbers themselves, but even worse for the shift towards older populations relying on fewer younger people in the workforce.

Here's a screenshot of the app: browse around 2546 pairs Shared genetics on the X, primary care co-occurrence on the Y axis:

And here is the additive effect between your Educational attainment Polygenic score and your burden of rare variants in DD genes (some noisiness in those with 3 damaging DD rare variants as fewer of them) www.nature.com/articles/s41...

And the idea of “phenotypic outliers”: e.g. those reported having no qualifications recorded despite having an EA PGS in the top decile were more likely to be rare DD variant carriers.

For example, among carriers of rare DD variants, those with a DD-related diagnosis had a substantially lower Educational attainment PGS than those without a clinical diagnosis. The liability model in action – your adverse polygenic background “pushes you into the clinic” if you have a rare variant

First bluesky post. A picture of blue sky near Geneva. And a small prediction : lots of exciting times ahead in human genetics based research and healthcare