Why do schizophrenia GWAS signals look so flat across the genome?
In our recent preprint, we explored why psychiatric disorders — and, more broadly, brain-related traits involving the central nervous system — appear to have unusual genetic architectures.
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🧬 2026 Internship: Marioni Group @genentech.bsky.social Seeking PhD intern for Deep Learning on large-scale genetic screens (Perturb-seq/Optical).
Focus: ML for single-cell + imaging to decode phenotypes.
📍 SSF (On-site) | 12-wk paid
⚠️ Apply via portal only: 🔗 bit.ly/45P7TQB
#CompBio #AI #Genetics
2026 Summer Intern (Computational Sciences - Cluster of Excellence) The Marioni group in the Computational Sciences (CS) department studies the molecular mechanisms of cell fate decisions in early dev...
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How well does TWAS estimate a gene’s direction of effect on a trait? We think of this as an important stress-test for the accuracy of TWAS.
In a new pre-print, we find that TWAS gets the sign wrong around 20-30% of the time!
doi.org/10.64898/202...
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Transcriptome-wide association studies (TWAS) are widely used to identify genes involved in complex traits and to infer the direction of gene effects on traits. However, despite their popularity, it r...
