Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China.
Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Int J Cancer. 2019 Nov 15;145(10):2661-2669. doi: 10.1002/ijc.32267. Epub 2019 Mar 26.
Genome-wide association studies (GWASs) have identified single nucleotide polymorphisms (SNPs) associated with colorectal cancer (CRC) risk, but whether these SNPs have additive effects on the risk of CRC remains unclear. We performed a systematic analysis of GWAS-identified SNPs using GWAS datasets from China (2,248 patients and 3,173 controls) and Europe (4,461 patients and 4,140 controls). We analyzed 58 independent variants from DNA samples from Chinese populations and found 19 SNPs that were significantly associated with CRC risk. We identified two genetic risk scores (GRSs) based on 58 and 19 SNPs, which were significantly associated with an increased risk of CRC. A decision curve analysis showed higher predictive power for the 58 SNPs. Using all the 58 SNPs to assess 5-year absolute risk (AR), we found that, at a cutoff of 0.4% (two times the median AR) and 0.6% (three times the median AR), approximately 32.76 and 16.45% of Chinese individuals were grouped as high risk for developing CRC, respectively. Risk stratification analysis further indicated that the population in the top 30% risk group accounted for 46.71% of the CRC cases. In addition, the 58 SNPs could explain approximately 1.13% of the phenotypic variance in Chinese populations. Similar findings were found in European populations. Combinations of SNPs identified in GWASs may therefore be useful for identifying individuals at high risk for CRC.
全基因组关联研究 (GWAS) 已经确定了与结直肠癌 (CRC) 风险相关的单核苷酸多态性 (SNP),但这些 SNP 是否对 CRC 的风险有累加效应尚不清楚。我们使用来自中国(2248 例患者和 3173 例对照)和欧洲(4461 例患者和 4140 例对照)的 GWAS 数据集对 GWAS 鉴定的 SNP 进行了系统分析。我们分析了来自中国人群 DNA 样本的 58 个独立变体,发现了 19 个与 CRC 风险显著相关的 SNP。我们基于 58 个和 19 个 SNP 确定了两个遗传风险评分 (GRS),它们与 CRC 风险增加显著相关。决策曲线分析显示,58 个 SNP 的预测能力更高。使用所有 58 个 SNP 来评估 5 年绝对风险 (AR),我们发现,在截止值为 0.4%(中位数 AR 的两倍)和 0.6%(中位数 AR 的三倍)时,大约 32.76%和 16.45%的中国个体分别被归类为 CRC 发展的高风险。风险分层分析进一步表明,风险最高的 30%人群占 CRC 病例的 46.71%。此外,58 个 SNP 可以解释中国人群中约 1.13%的表型方差。在欧洲人群中也发现了类似的结果。因此,GWAS 中鉴定的 SNP 组合可能有助于识别 CRC 高危个体。