#ctglab

Proud that the third GWAS for Alzheimer's dementia from the PGC-ALZ working group was just posted online! Huge amounts of work, and what a great collaboration! Check out our exciting findings below 👇 @pgcgenetics.bsky.social #ctglab #alzheimer #dementia #GWAS

#ctglab is hiring! We have #vacancies! 2 PhD & 2 postdoc positions, in #statistical #genetics and/or #bioinformatics - if you like GWAS, method development and linking with biology - check these out 👇

werkenbij.vu.nl/vacatures/tw...

werkenbij.vu.nl/vacatures/po...

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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...

Just out from #ctglab by @mjschipper.bsky.social
- our new tool FLAMES 🔥🔥, to identify the most likely causal genes in GWAS loci, using machine learning techniques, thoroughly benchmarked and freely available
Paper: rdcu.be/d9iQP
Code: github.com/Marijn-Schip...

So sorry to miss #wcpg2025 #stuckwithgrantwriting BUT #ctglab is well represented, please look out for Marijn Schipper, Emil Uffelmann, Nathan Bell, Bernardo Maciel, Cato Romero, Jeanne Savage & Zeli Chen - they will be presenting the latest outcomes from our lab this week!