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Article

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

Science advances - 3 Jan 2025

Zhou Jiyun, Weinberger Daniel R, Han Shizhong

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 affecting DNAm levels in specific brain cell types, leveraging existing single-nucleus DNAm data from the human brain. We show that INTERACT accurately predicts...

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Identifiers

PMID: 39742481
DOI: 10.1126/sciadv.adn1870
PMCID: PMC11691643

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