Article

Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders

2024-01-21

Abstract excerpt

DNA methylation (DNAm) is essential for brain development and function and potentially mediates the effects of genetic risk variants underlying brain disorders. We present INTERACT, a transformer-based deep learning model to predict regulatory variants impacting DNAm levels in specific brain cell types, leveraging existing single-nucleus DNAm data from the human brain. We show that INTERACT accurately predicts cel...

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Literature Corpus work: e5a7fc4b-091e-555f-89d7-8921658f0dd5
DOI: 10.1101/2024.01.18.576319

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