Division of Population Sciences, Dana-Farber Cancer Institute & Harvard Medical School, Boston, USA.
The Broad Institute, Boston, USA.
Genome Biol. 2022 Jul 8;23(1):152. doi: 10.1186/s13059-022-02708-9.
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.
在这里,我们提出了 DeCAF(去卷积细胞类型等位基因特异功能),这是一种通过利用等位基因和总表达信息来鉴定肿瘤中细胞分数(cf)QTL 的新方法。我们将 DeCAF 应用于 TCGA 的 RNA-seq 数据,在 14 种细胞类型中鉴定出 3664 个具有 cfQTLs(在 10% FDR 下)的基因,这比传统的互作-eQTL 映射发现的数量增加了 5.63 倍。在外部细胞类型特异性 eQTL 数据中复制的 cfQTLs 比传统的 eQTLs 更富集癌症风险。我们的新方法 DeCAF 可以从中等规模的研究中批量 RNA-seq 数据中发现具有生物学意义的 cfQTLs。