Single-cell multiomics of the human retina reveals hierarchical transcription factor collaboration in mediating cell type-specific effects of genetic variants on gene regulation.

"the data of 20 macular snrna-seq samples20 lobe snatac-seq samples and 1 macular snatac-seq sample generated in the study are available with the accession number gse247157 [ 93 ] and the data of 19 macular snatac-seq samples analyzed in this study are available with the accession number gse226108 [ 94 ] in gene expression omnibus (geo) under ncbi. availability of data and materials the codes for reproducing the main analyses of the paper are available at github ( https://github com/fe4960/single_cell_qtl ) [ 92 ]."

"availability of data and materials the codes for reproducing the main analyses of the paper are available at github ( https://github com/fe4960/single_cell_qtl ) [ 92 ]."

"Declarations Ethics approval and consent to participateAll tissues were de-identified under HIPAA Privacy Rules. Institutional approval for the consent of patients for their tissue donation was obtained from the University of Utah and conformed to the tenets of the Declaration of Helsinki. The IRB approval number is H-42822. Consent for publicationNot applicable. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

"Funding This study was supported by the Foundation Fighting Blindness (BR-GE-0613–0618-BCM), the National Eye Institute (R01EY022356, R01EY020540, R01EY018571) and Human Cell Atlas Seed Network Grant CZF2019-02425 to RC. This work was performed at the Single Cell Genomics Core at BCM partially supported by NIH shared instrument grants (S10OD023469, S10OD025240), P30EY002520 and CPRIT grant RP200504. This work was also supported by Vision Core Grant P30 EY002687 to Washington University."