University of Cambridge, Cambridge CB2 0SP, UK; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA.
Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Am J Hum Genet. 2021 Nov 4;108(11):2071-2085. doi: 10.1016/j.ajhg.2021.09.008. Epub 2021 Oct 25.
Genome-wide association studies (GWASs) of prostate cancer have identified >250 significant risk loci, but the causal variants and mechanisms for these loci remain largely unknown. Here, we sought to identify and characterize risk-harboring regulatory elements by integrating epigenomes from primary prostate tumor and normal tissues of 27 individuals across the H3K27ac, H3K4me3, and H3K4me2 histone marks and FOXA1 and HOXB13 transcription factors. We identified 7,371 peaks with significant allele specificity (allele-specific quantitative trait locus [asQTL] peaks). Showcasing their relevance to prostate cancer risk, H3K27ac T-asQTL peaks were the single annotation most enriched for prostate cancer GWAS heritability (40×), significantly higher than corresponding non-asQTL H3K27ac peaks (14×) or coding regions (14×). Surprisingly, fine-mapped GWAS risk variants were most significantly enriched for asQTL peaks observed in tumors, including asQTL peaks that were differentially imbalanced with respect to tumor-normal states. These data pinpointed putative causal regulatory elements at 20 GWAS loci, of which 11 were detected only in the tumor samples. More broadly, tumor-specific asQTLs were enriched for expression QTLs in benign tissues as well as accessible regions found in stem cells, supporting a hypothesis where some germline variants become reactivated during or after transformation and can be captured by epigenomic profiling of the tumor. Our study demonstrates the power of allele specificity in chromatin signals to uncover GWAS mechanisms, highlights the relevance of tumor-specific regulation in the context of cancer risk, and prioritizes multiple loci for experimental follow-up.
全基因组关联研究(GWAS)已经确定了超过 250 个显著的前列腺癌风险位点,但这些位点的因果变异和机制在很大程度上仍然未知。在这里,我们试图通过整合 27 个人的原发性前列腺肿瘤和正常组织的 H3K27ac、H3K4me3 和 H3K4me2 组蛋白标记以及 FOXA1 和 HOXB13 转录因子的表观基因组,来识别和描述风险所在的调控元件。我们确定了 7371 个具有显著等位基因特异性(等位基因特异性定量性状基因座 [asQTL] 峰)的峰。H3K27ac T-asQTL 峰作为与前列腺癌风险相关性最强的单一注释,在前列腺癌 GWAS 遗传力中富集程度最高(40 倍),显著高于相应的非-asQTL H3K27ac 峰(14 倍)或编码区(14 倍)。令人惊讶的是,精细映射的 GWAS 风险变体在肿瘤中观察到的 asQTL 峰中富集程度最高,包括相对于肿瘤-正常状态存在差异失衡的 asQTL 峰。这些数据确定了 20 个 GWAS 位点的潜在因果调控元件,其中 11 个仅在肿瘤样本中检测到。更广泛地说,肿瘤特异性 asQTL 富集了良性组织中的表达 QTL 以及在干细胞中发现的可及区域,这支持了这样一种假设,即一些种系变异在转化过程中或之后重新激活,并可以通过肿瘤的表观基因组图谱捕获。我们的研究表明,等位基因特异性在染色质信号中具有揭示 GWAS 机制的强大功能,突出了肿瘤特异性调控在癌症风险背景下的相关性,并为多个实验后续研究的位点确定了优先级。