Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
The Eli and Edythe L. Broad Institute, Cambridge, MA, USA.
Nat Genet. 2022 Jun;54(6):837-849. doi: 10.1038/s41588-022-01075-2. Epub 2022 Jun 13.
While many germline cancer risk variants have been identified through genome-wide association studies (GWAS), the mechanisms by which these variants operate remain largely unknown. Here we used 406 cancer ATAC-Seq samples across 23 cancer types to identify 7,262 germline allele-specific accessibility QTLs (as-aQTLs). Cancer as-aQTLs had stronger enrichment for cancer risk heritability (up to 145 fold) than any other functional annotation across seven cancer GWAS. Most cancer as-aQTLs directly altered transcription factor (TF) motifs and exhibited differential TF binding and gene expression in functional screens. To connect as-aQTLs to putative risk mechanisms, we introduced the regulome-wide associations study (RWAS). RWAS identified genetically associated accessible peaks at >70% of known breast and prostate loci and discovered new risk loci in all examined cancer types. Integrating as-aQTL discovery, motif analysis and RWAS identified candidate causal regulatory elements and their probable upstream regulators. Our work establishes cancer as-aQTLs and RWAS analysis as powerful tools to study the genetic architecture of cancer risk.
虽然通过全基因组关联研究(GWAS)已经确定了许多种系癌症风险变异,但这些变异的作用机制在很大程度上仍不清楚。在这里,我们使用了 23 种癌症类型的 406 个癌症 ATAC-Seq 样本,鉴定了 7262 个种系等位基因特异性可及性 QTL(as-aQTL)。与任何其他功能注释相比,癌症 as-aQTL 对癌症风险遗传力的富集更强(高达 145 倍)。大多数癌症 as-aQTL 直接改变了转录因子(TF)基序,并在功能筛选中表现出不同的 TF 结合和基因表达。为了将 as-aQTL 与潜在的风险机制联系起来,我们引入了全调控组关联研究(RWAS)。RWAS 在 >70%的已知乳腺癌和前列腺基因座中鉴定了与遗传相关的可及峰,并在所有检查的癌症类型中发现了新的风险基因座。整合 as-aQTL 发现、基序分析和 RWAS 确定了候选因果调节元件及其可能的上游调节因子。我们的工作确立了癌症 as-aQTL 和 RWAS 分析作为研究癌症风险遗传结构的有力工具。