生物
全基因组关联研究
遗传学
生殖系
前列腺癌
计算生物学
癌症
等位基因
遗传建筑学
乳腺癌
基因
数量性状位点
单核苷酸多态性
基因型
作者
Dennis Grishin,Alexander Gusev
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2022-06-01
卷期号:54 (6): 837-849
被引量:3
标识
DOI:10.1038/s41588-022-01075-2
摘要
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.
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