Combinations of single nucleotide polymorphisms identified in genome-wide association studies determine risk for colorectal cancer

被引:24
|
作者
Xin, Junyi [1 ,2 ]
Du, Mulong [3 ,4 ]
Gu, Dongying [5 ]
Ge, Yuqiu [1 ]
Li, Shuwei [1 ]
Chu, Haiyan [1 ]
Meng, Yixuan [1 ]
Shen, Hongbing [6 ]
Zhang, Zhengdong [1 ,2 ]
Wang, Meilin [1 ,2 ]
机构
[1] Nanjing Med Univ, Dept Environm Genom, Jiangsu Key Lab Canc Biomarkers Prevent & Treatme, Collaborat Innovat Ctr Canc Personalized Med, Nanjing 211166, Jiangsu, Peoples R China
[2] Nanjing Med Univ, Dept Genet Toxicol, Key Lab Modern Toxicol, Minist Educ,Ctr Global Hlth,Sch Publ Hlth, Nanjing 211166, Jiangsu, Peoples R China
[3] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Biostat, Nanjing 211166, Jiangsu, Peoples R China
[4] Nanjing Med Univ, Joint Lab Hlth & Environm Risk Assessment HERA, Sch Publ Hlth, Harvard Sch Publ Hlth, Nanjing 211166, Jiangsu, Peoples R China
[5] Nanjing Med Univ, Nanjing Hosp 1, Dept Oncol, Nanjing 210006, Jiangsu, Peoples R China
[6] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Epidemiol & Biostat, Nanjing 211166, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
colorectal cancer; risk evaluation; SNPs; susceptibility; SUSCEPTIBILITY LOCI; PREDICTION;
D O I
10.1002/ijc.32267
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:2661 / 2669
页数:9
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