Article

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

2016-08-11

Abstract excerpt

Genome-wide association studies (GWAS) identify genetic variants associated with quantitative traits or disease. Thus, GWAS never directly link variants to regulatory mechanisms, which, in turn, are typically inferred during post-hoc analyses. In parallel, a recent deep learning-based method allows for prediction of regulatory effects per variant on currently up to 1,000 cell type-specific chromatin features. We...

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Literature Corpus work: f5c0a78f-d4b6-50d9-b587-70e7860c0d6a
DOI: 10.1101/069096

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