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Single-cell multiome of the human retina and deep learning nominate causal variants in complex eye diseases

ABSTRACT: We present a joint single-cell atlas of gene expression and chromatin accessibility of the adult human retina. We integrate this atlas with a HiChIP enhancer connectome, expression quantitative trait loci (eQTL) data, and base-resolution deep learning models to predict noncoding variants with causal roles in eye disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE196235 | GEO | 2022/03/09

REPOSITORIES: GEO

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