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Marijn Schipper

@mjschipper.bsky.social

Geneticist, Programmer and Science Enthousiast

Marijn Schipper @mjschipper.bsky.social · 11/02/2025

We use FLAMES to prioritize 180 schizophrenia risk genes. We find that these genes are highly enriched in synaptic functions. Clustering these genes based on relative expression throughout the lifetime shows that about one third of these genes are expressed strongest prenatally.

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Marijn Schipper @mjschipper.bsky.social · 11/02/2025

We benchmark our method against multiple tools, in different datasets (2 largest in fig). We find that FLAMES consistently outperforms other current gene prioritization methods. Expert-curated = subset from: pubmed.ncbi.nlm.nih.gov/34711957/ ExWAS implicated from: pubmed.ncbi.nlm.nih.gov/37009933/

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Marijn Schipper @mjschipper.bsky.social · 11/02/2025

FLAMES annotates 95% credible sets from fine-mapped GWAS loci with functional data linking SNPs to genes from over 20 sources. We did this with 1181 loci which contain a gene also implicated by rare pLoF variants. We find these pLoF ExWAS genes enriched in functional annotations from GWAS SNPs.

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