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DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk

Here, we propose DeCAF (DEconvoluted cell type Allele specific Function), a new method to identify cell-fraction (cf) QTLs in tumors by leveraging both allelic and total expression information. Applying DeCAF to RNA-seq data from TCGA, we identify 3664 genes with cfQTLs (at 10% FDR) in 14 cell types...

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Detalles Bibliográficos
Autores principales: Kalita, Cynthia A., Gusev, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264694/
https://www.ncbi.nlm.nih.gov/pubmed/35804456
http://dx.doi.org/10.1186/s13059-022-02708-9
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author Kalita, Cynthia A.
Gusev, Alexander
author_facet Kalita, Cynthia A.
Gusev, Alexander
author_sort Kalita, Cynthia A.
collection PubMed
description Here, we propose DeCAF (DEconvoluted cell type Allele specific Function), a new method to identify cell-fraction (cf) QTLs in tumors by leveraging both allelic and total expression information. Applying DeCAF to RNA-seq data from TCGA, we identify 3664 genes with cfQTLs (at 10% FDR) in 14 cell types, a 5.63× increase in discovery over conventional interaction-eQTL mapping. cfQTLs replicated in external cell-type-specific eQTL data are more enriched for cancer risk than conventional eQTLs. Our new method, DeCAF, empowers the discovery of biologically meaningful cfQTLs from bulk RNA-seq data in moderately sized studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02708-9).
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spelling pubmed-92646942022-07-09 DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk Kalita, Cynthia A. Gusev, Alexander Genome Biol Method Here, we propose DeCAF (DEconvoluted cell type Allele specific Function), a new method to identify cell-fraction (cf) QTLs in tumors by leveraging both allelic and total expression information. Applying DeCAF to RNA-seq data from TCGA, we identify 3664 genes with cfQTLs (at 10% FDR) in 14 cell types, a 5.63× increase in discovery over conventional interaction-eQTL mapping. cfQTLs replicated in external cell-type-specific eQTL data are more enriched for cancer risk than conventional eQTLs. Our new method, DeCAF, empowers the discovery of biologically meaningful cfQTLs from bulk RNA-seq data in moderately sized studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02708-9). BioMed Central 2022-07-08 /pmc/articles/PMC9264694/ /pubmed/35804456 http://dx.doi.org/10.1186/s13059-022-02708-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Method
Kalita, Cynthia A.
Gusev, Alexander
DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
title DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
title_full DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
title_fullStr DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
title_full_unstemmed DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
title_short DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
title_sort decaf: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264694/
https://www.ncbi.nlm.nih.gov/pubmed/35804456
http://dx.doi.org/10.1186/s13059-022-02708-9
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