‼️ ONLINE NOW Orli Bahcall 📰 Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases 🧑‍🤝‍🧑 Heiko Runz Lude Franke Harm-Jan and colleagues ⬇️ go.nature.com/3ZosKoC

A hearty congratulations to our newest PhD, Dr. Shuang Li!

Congratulations ShuangLi with now being a Dr.! Well deserved! It was awesome to have you as a student and I wish you all the best in your future career!

Curious about how genetics regulates genes in the brain, and whether this can be linked to disease? I am looking for a PhD student to research just that! bit.ly/3KkMWCT

Are you interested in trans-eQTLs? We are working on a new genome-wide eQTL meta-analysis in blood samples (eQTLGen.org). Over 30 cohorts are already contributing to this initiative. Using a federated analysis model, cohorts do not have to share privacy sensitive data

Really exciting to have had the chance to present our newest work on eQTLGen at #ESHG2023 and having received the Fellowship of Excellence for early career scientists. Many thanks to especially Harm-Jan, Lude Franke and Urmo Võsa for their expertise making this work possible!

Excited to share a new preprint from my lab, led by Silva Kasela ✨, analyzing cellular and environmental modifiers of regulatory variants in the TOPMed multi-omics pilot data from the MESA cohort. 🧵biorxiv.org/content/10.110…

We are very proud that Monique van der Wijst Monique van der Wijst has been awarded a VIDI grant for her project to study gene expression variation. Monique, many congratulations! UMCG University of Groningen NWO Nieuws

I am very happy and grateful to tell you that I've been awarded a NWO Vidi grant to study the role of non-genetic molecular variation among seemingly identical immune cells for immune cell memory, and its relation to disease: shorturl.at/kAIJN UMCG Genetica Research UMCG

Very proud of my colleague Monique van der Wijst !

We are excited to share our manuscript where we study GWAS of breast, prostate, colon, and skin cancer to understand how cancer risk relates to the cancer driver genes derived from tumour data (medrxiv.org/content/10.110…). 🧵(1/7)

The overlap between GWAS hits in cancer and established somatic driver genes is quite low. We observe that tissue-specific co-expression networks link the positional candidate genes in cancer GWAS to known somatic driver genes. Tijs van Lieshout explains below what we found:

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1/11 PICALO: a method for the identification of contexts that affect the regulatory mechanisms of genetic variants.   Lack of eQTL context is hampering the biological interpretation of GWAS variants, for this purpose we developed PICALO. 🧵doi.org/10.1186/s13059…