Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants

Cellular heterogeneity can confound functional genomics analyses of bulk tissues. Here, Donovan et al. deconvolute bulk GTEx RNA-seq data utilizing scRNA-seq data from the Tabula Muris project and show the power of using cell populations in eQTL analyses to identify disease and cell-type-associated...

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Main Authors: Margaret K. R. Donovan, Agnieszka D’Antonio-Chronowska, Matteo D’Antonio, Kelly A. Frazer
Format: Article
Language:English
Published: Nature Publishing Group 2020-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-14561-0
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spelling doaj-bf4f52ec9de84c23838bce86931d7b442021-05-11T08:32:42ZengNature Publishing GroupNature Communications2041-17232020-02-0111111410.1038/s41467-020-14561-0Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variantsMargaret K. R. Donovan0Agnieszka D’Antonio-Chronowska1Matteo D’Antonio2Kelly A. Frazer3Bioinformatics and Systems Biology Graduate Program, University of California, San DiegoDepartment of Pediatrics and Rady Children’s Hospital, University of California, San DiegoDepartment of Pediatrics and Rady Children’s Hospital, University of California, San DiegoDepartment of Pediatrics and Rady Children’s Hospital, University of California, San DiegoCellular heterogeneity can confound functional genomics analyses of bulk tissues. Here, Donovan et al. deconvolute bulk GTEx RNA-seq data utilizing scRNA-seq data from the Tabula Muris project and show the power of using cell populations in eQTL analyses to identify disease and cell-type-associated regulatory variants.https://doi.org/10.1038/s41467-020-14561-0
collection DOAJ
language English
format Article
sources DOAJ
author Margaret K. R. Donovan
Agnieszka D’Antonio-Chronowska
Matteo D’Antonio
Kelly A. Frazer
spellingShingle Margaret K. R. Donovan
Agnieszka D’Antonio-Chronowska
Matteo D’Antonio
Kelly A. Frazer
Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants
Nature Communications
author_facet Margaret K. R. Donovan
Agnieszka D’Antonio-Chronowska
Matteo D’Antonio
Kelly A. Frazer
author_sort Margaret K. R. Donovan
title Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants
title_short Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants
title_full Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants
title_fullStr Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants
title_full_unstemmed Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants
title_sort cellular deconvolution of gtex tissues powers discovery of disease and cell-type associated regulatory variants
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-02-01
description Cellular heterogeneity can confound functional genomics analyses of bulk tissues. Here, Donovan et al. deconvolute bulk GTEx RNA-seq data utilizing scRNA-seq data from the Tabula Muris project and show the power of using cell populations in eQTL analyses to identify disease and cell-type-associated regulatory variants.
url https://doi.org/10.1038/s41467-020-14561-0
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