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