Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration
“Genome-wide association studies have identified variants associated with age-related macular degeneration (AMD); however, other than identifying this as a complement mediated inflammatory disease, little biology has emerged. Here, authors used novel computational tools from the Broad Institute to e...
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Nature Portfolio
2019
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oai:doaj.org-article:569a863f6cff4674a0253494b0beaa872021-12-02T15:36:18ZSingle-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration10.1038/s41467-019-12780-82041-1723https://doaj.org/article/569a863f6cff4674a0253494b0beaa872019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12780-8https://doaj.org/toc/2041-1723“Genome-wide association studies have identified variants associated with age-related macular degeneration (AMD); however, other than identifying this as a complement mediated inflammatory disease, little biology has emerged. Here, authors used novel computational tools from the Broad Institute to examine the relationship of single-cell transcriptomics and genome-wide association studies (GWAS) in the human retina and demonstrate that GWAS-associated risk alleles associated with AMD are enriched in glia and vascular cells and that human retinal glia are more diverse than previously thoughtMadhvi MenonShahin MohammadiJose Davila-VelderrainBrittany A. GoodsTanina D. CadwellYu XingAnat Stemmer-RachamimovAlex K. ShalekJohn Christopher LoveManolis KellisBrian P. HaflerNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019) |
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Science Q Madhvi Menon Shahin Mohammadi Jose Davila-Velderrain Brittany A. Goods Tanina D. Cadwell Yu Xing Anat Stemmer-Rachamimov Alex K. Shalek John Christopher Love Manolis Kellis Brian P. Hafler Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration |
description |
“Genome-wide association studies have identified variants associated with age-related macular degeneration (AMD); however, other than identifying this as a complement mediated inflammatory disease, little biology has emerged. Here, authors used novel computational tools from the Broad Institute to examine the relationship of single-cell transcriptomics and genome-wide association studies (GWAS) in the human retina and demonstrate that GWAS-associated risk alleles associated with AMD are enriched in glia and vascular cells and that human retinal glia are more diverse than previously thought |
format |
article |
author |
Madhvi Menon Shahin Mohammadi Jose Davila-Velderrain Brittany A. Goods Tanina D. Cadwell Yu Xing Anat Stemmer-Rachamimov Alex K. Shalek John Christopher Love Manolis Kellis Brian P. Hafler |
author_facet |
Madhvi Menon Shahin Mohammadi Jose Davila-Velderrain Brittany A. Goods Tanina D. Cadwell Yu Xing Anat Stemmer-Rachamimov Alex K. Shalek John Christopher Love Manolis Kellis Brian P. Hafler |
author_sort |
Madhvi Menon |
title |
Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration |
title_short |
Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration |
title_full |
Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration |
title_fullStr |
Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration |
title_full_unstemmed |
Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration |
title_sort |
single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/569a863f6cff4674a0253494b0beaa87 |
work_keys_str_mv |
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