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Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants
The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell types. Here, using gene expression signatures...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031340/ https://www.ncbi.nlm.nih.gov/pubmed/32075962 http://dx.doi.org/10.1038/s41467-020-14561-0 |
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author | Donovan, Margaret K. R. D’Antonio-Chronowska, Agnieszka D’Antonio, Matteo Frazer, Kelly A. |
author_facet | Donovan, Margaret K. R. D’Antonio-Chronowska, Agnieszka D’Antonio, Matteo Frazer, Kelly A. |
author_sort | Donovan, Margaret K. R. |
collection | PubMed |
description | The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell types. Here, using gene expression signatures obtained from mouse cell types, we deconvolute bulk RNA-seq samples from 28 GTEx tissues to quantify cellular composition, which reveals striking heterogeneity across these samples. Conducting eQTL analyses for GTEx liver and skin samples using cell composition estimates as interaction terms, we identify thousands of genetic associations that are cell-type-associated. The skin cell-type associated eQTLs colocalize with skin diseases, indicating that variants which influence gene expression in distinct skin cell types play important roles in traits and disease. Our study provides a framework to estimate the cellular composition of GTEx tissues enabling the functional characterization of human genetic variation that impacts gene expression in cell-type-specific manners. |
format | Online Article Text |
id | pubmed-7031340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70313402020-03-04 Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants Donovan, Margaret K. R. D’Antonio-Chronowska, Agnieszka D’Antonio, Matteo Frazer, Kelly A. Nat Commun Article The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell types. Here, using gene expression signatures obtained from mouse cell types, we deconvolute bulk RNA-seq samples from 28 GTEx tissues to quantify cellular composition, which reveals striking heterogeneity across these samples. Conducting eQTL analyses for GTEx liver and skin samples using cell composition estimates as interaction terms, we identify thousands of genetic associations that are cell-type-associated. The skin cell-type associated eQTLs colocalize with skin diseases, indicating that variants which influence gene expression in distinct skin cell types play important roles in traits and disease. Our study provides a framework to estimate the cellular composition of GTEx tissues enabling the functional characterization of human genetic variation that impacts gene expression in cell-type-specific manners. Nature Publishing Group UK 2020-02-19 /pmc/articles/PMC7031340/ /pubmed/32075962 http://dx.doi.org/10.1038/s41467-020-14561-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Donovan, Margaret K. R. D’Antonio-Chronowska, Agnieszka D’Antonio, Matteo Frazer, Kelly A. Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031340/ https://www.ncbi.nlm.nih.gov/pubmed/32075962 http://dx.doi.org/10.1038/s41467-020-14561-0 |
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