Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Nat Commun. 2020 Sep 4;11(1):4423. doi: 10.1038/s41467-020-18246-6.
Deciphering the shared genetic basis of distinct cancers has the potential to elucidate carcinogenic mechanisms and inform broadly applicable risk assessment efforts. Here, we undertake genome-wide association studies (GWAS) and comprehensive evaluations of heritability and pleiotropy across 18 cancer types in two large, population-based cohorts: the UK Biobank (408,786 European ancestry individuals; 48,961 cancer cases) and the Kaiser Permanente Genetic Epidemiology Research on Adult Health and Aging cohorts (66,526 European ancestry individuals; 16,001 cancer cases). The GWAS detect 21 genome-wide significant associations independent of previously reported results. Investigations of pleiotropy identify 12 cancer pairs exhibiting either positive or negative genetic correlations; 25 pleiotropic loci; and 100 independent pleiotropic variants, many of which are regulatory elements and/or influence cross-tissue gene expression. Our findings demonstrate widespread pleiotropy and offer further insight into the complex genetic architecture of cross-cancer susceptibility.
解析不同癌症的共有遗传基础有可能阐明致癌机制,并为广泛适用的风险评估工作提供信息。在这里,我们在两个大型基于人群的队列中对 18 种癌症进行了全基因组关联研究(GWAS)和遗传力及多效性的综合评估:英国生物银行(408786 名欧洲血统个体;48961 例癌症病例)和 Kaiser Permanente 成人健康与衰老遗传流行病学研究队列(66526 名欧洲血统个体;16001 例癌症病例)。GWAS 检测到 21 个与先前报道结果无关的全基因组显著关联。多效性的研究确定了 12 对表现出正或负遗传相关性的癌症对;25 个多效性位点;和 100 个独立的多效性变异,其中许多是调节元件和/或影响跨组织基因表达。我们的研究结果表明广泛的多效性,并进一步深入了解跨癌症易感性的复杂遗传结构。