Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Cancer Epidemiol Biomarkers Prev. 2018 Jan;27(1):75-85. doi: 10.1158/1055-9965.EPI-17-0516. Epub 2017 Nov 17.
There exists compelling evidence that some genetic variants are associated with the risk of multiple cancer sites (i.e., pleiotropy). However, the biological mechanisms through which the pleiotropic variants operate are unclear. We obtained all cancer risk associations from the National Human Genome Research Institute-European Bioinformatics Institute GWAS Catalog, and correlated cancer risk variants were clustered into groups. Pleiotropic variant groups and genes were functionally annotated. Associations of pleiotropic cancer risk variants with noncancer traits were also obtained. We identified 1,431 associations between variants and cancer risk, comprised of 989 unique variants associated with 27 unique cancer sites. We found 20 pleiotropic variant groups (2.1%) composed of 33 variants (3.3%), including novel pleiotropic variants rs3777204 and rs56219066 located in the gene. Relative to single-cancer risk variants, pleiotropic variants were more likely to be in genes (89.0% vs. 65.3%, = 2.2 × 10), and to have somewhat larger risk allele frequencies (median RAF = 0.49 versus 0.39, = 0.046). The 27 genes to which the pleiotropic variants mapped were suggestive for enrichment in response to radiation and hypoxia, alpha-linolenic acid metabolism, cell cycle, and extension of telomeres. In addition, we observed that 8 of 33 pleiotropic cancer risk variants were associated with 16 traits other than cancer. This study identified and functionally characterized genetic variants showing pleiotropy for cancer risk. Our findings suggest biological pathways common to different cancers and other diseases, and provide a basis for the study of genetic testing for multiple cancers and repurposing cancer treatments. .
有确凿的证据表明,一些遗传变异与多种癌症部位的风险有关(即多效性)。然而,多效性变异作用的生物学机制尚不清楚。我们从国立人类基因组研究所-欧洲生物信息学研究所 GWAS 目录中获得了所有癌症风险关联,并将相关的癌症风险变异聚类为组。对多效性变异组和基因进行了功能注释。还获得了多效性癌症风险变异与非癌症特征的关联。我们确定了 1431 个变异与癌症风险之间的关联,其中包括 989 个与 27 个独特癌症部位相关的独特变异。我们发现了 20 个多效性变异组(2.1%),由 33 个变异(3.3%)组成,包括位于基因中的新的多效性变异 rs3777204 和 rs56219066。与单一癌症风险变异相比,多效性变异更有可能位于基因中(89.0%对 65.3%,=2.2×10),并且风险等位基因频率略高(中位数 RAF=0.49 对 0.39,=0.046)。多效性变异所映射的 27 个基因在对辐射和缺氧、α-亚麻酸代谢、细胞周期和端粒延伸的反应中富集具有提示意义。此外,我们观察到 33 个多效性癌症风险变异中的 8 个与癌症以外的 16 个特征相关。本研究鉴定并对表现出癌症风险多效性的遗传变异进行了功能特征分析。我们的研究结果表明,不同癌症和其他疾病存在共同的生物学途径,并为研究多种癌症的基因检测和重新利用癌症治疗提供了基础。