Abe Makiko, Ito Hidemi, Oze Isao, Nomura Masatoshi, Ogawa Yoshihiro, Matsuo Keitaro
Department of Preventive Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, 812-8582, Japan.
Department of Medicine and Bioregulatory Science, Graduate School of Medical Science, Kyushu University, Fukuoka, 812-8582, Japan.
J Cancer Res Clin Oncol. 2017 Dec;143(12):2481-2492. doi: 10.1007/s00432-017-2505-4. Epub 2017 Aug 28.
Little is known about the difference of genetic predisposition for CRC between ethnicities; however, many genetic traits common to colorectal cancer have been identified. This study investigated whether more SNPs identified in GWAS in East Asian population could improve the risk prediction of Japanese and explored possible application of genetic risk groups as an instrument of the risk communication.
558 Patients histologically verified colorectal cancer and 1116 first-visit outpatients were included for derivation study, and 547 cases and 547 controls were for replication study. Among each population, we evaluated prediction models for the risk of CRC that combined the genetic risk group based on SNPs from GWASs in European-population and a similarly developed model adding SNPs from GWASs in East Asian-population. We examined whether adding East Asian-specific SNPs would improve the discrimination.
Six SNPs (rs6983267, rs4779584, rs4444235, rs9929218, rs10936599, rs16969681) from 23 SNPs by European-based GWAS and five SNPs (rs704017, rs11196172, rs10774214, rs647161, rs2423279) among ten SNPs by Asian-based GWAS were selected in CRC risk prediction model. Compared with a 6-SNP-based model, an 11-SNP model including Asian GWAS-SNPs showed improved discrimination capacity in Receiver operator characteristic analysis. A model with 11 SNPs resulted in statistically significant improvement in both derivation (P = 0.0039) and replication studies (P = 0.0018) compared with six SNP model. We estimated cumulative risk of CRC by using genetic risk group based on 11 SNPs and found that the cumulative risk at age 80 is approximately 13% in the high-risk group while 6% in the low-risk group.
We constructed a more efficient CRC risk prediction model with 11 SNPs including newly identified East Asian-based GWAS SNPs (rs704017, rs11196172, rs10774214, rs647161, rs2423279). Risk grouping based on 11 SNPs depicted lifetime difference of CRC risk. This might be useful for effective individualized prevention for East Asian.
关于不同种族间结直肠癌遗传易感性的差异,人们了解甚少;然而,已经确定了许多结直肠癌共有的遗传特征。本研究调查了在东亚人群全基因组关联研究(GWAS)中鉴定出的更多单核苷酸多态性(SNP)是否能改善对日本人的风险预测,并探索将遗传风险组作为风险沟通工具的可能应用。
纳入558例经组织学证实的结直肠癌患者和1116例首次就诊的门诊患者进行推导研究,547例病例和547例对照进行验证研究。在每个人群中,我们评估了基于欧洲人群GWAS中的SNP的遗传风险组与类似开发的添加东亚人群GWAS中的SNP的模型相结合的结直肠癌风险预测模型。我们研究了添加东亚特异性SNP是否会提高辨别力。
基于欧洲的GWAS的23个SNP中的6个SNP(rs6983267、rs4779584、rs4444235、rs9929218、rs10936599、rs16969681)和基于亚洲的GWAS的10个SNP中的5个SNP(rs704017、rs11196172、rs10774214、rs647161、rs2423279)被选入结直肠癌风险预测模型。在受试者工作特征分析中,与基于6个SNP的模型相比,包含亚洲GWAS-SNP的11个SNP模型显示出更好的辨别能力。与6个SNP模型相比,11个SNP的模型在推导研究(P = 0.0039)和验证研究(P = 0.0018)中均有统计学上的显著改善。我们使用基于11个SNP的遗传风险组估计了结直肠癌的累积风险,发现高危组80岁时的累积风险约为13%,而低危组为6%。
我们构建了一个更有效的包含11个SNP的结直肠癌风险预测模型,其中包括新鉴定的基于东亚的GWAS SNP(rs704017、rs11196172、rs10774214、rs647161、rs2423279)。基于11个SNP的风险分组描绘了结直肠癌风险的终生差异。这可能有助于东亚地区进行有效的个体化预防。