通过全基因组关联研究确定台湾大肠癌遗传易感性特征

IF 3 2区 医学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Da-Tian Bau, Ting-Yuan Liu, Jai-Sing Yang, William Tzu-Liang Chen, Chia-Wen Tsai, Wen-Shin Chang, Tao-Wei Ke, Chi-Chou Liao, Yu-Chia Chen, Yen-Ting Chang, Fuu-Jen Tsai
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引用次数: 0

摘要

我们在台湾进行了首次大肠癌(CRC)全基因组关联研究(GWAS),共有 5342 例病例和 61 015 例对照。三个基因组区域的 92 个 SNP 达到全基因组显著性(p -8)。这三个区域的主要 SNPs 是:rs12778523(OR = 1.18,95% CI,1.15-1.23,p = 4.51 × 10-13),位于染色体 10p14 的 RNA5SP299 和 LINC02676 之间的基因间 SNP;rs647161(OR = 1.14,95% CI,1.09-1.19,p = 2.21 × 10-9)和位于 19q13.1 的 GPATCH1 的内含子 SNP rs10427139(OR = 1.20,95% CI,1.14-1.28,p = 3.62 × 10-9)。我们进一步验证了之前在其他人群中通过 GWAS 发现的 CRC 易感 SNPs。在台湾人中,共确认了 61 个 CRC 易感 SNPs。最主要的已验证假定的 CRC 易感基因包括POU2AF2、HAO1、LAMC1、EIF3H、BMP2、ZMIZ1、BMP4、POLD3、CDKN1A、PREX1、CDKN2B、CDH1和LRIG1。富集最多的通路包括 TGF-β 信号传导、BMP 信号传导、细胞外基质组织、DNA 修复和细胞周期控制。我们无法验证位于 6p22.1 的 HLA-G 和位于 6p21.32 的 NOTCH4 中的 SNPs。我们利用这 61 个 SNPs 生成了加权遗传风险评分(GRS),并利用 GRS 构建了预测 CRC 的接收者操作特征曲线(ROC)。仅 GRS 的 ROC 曲线下面积(AUC)为 0.589,GRS、性别和年龄的 ROC 曲线下面积(AUC)为 0.645。这些易感 SNPs 和基因为了解 CRC 发生的分子机制提供了重要信息,有助于识别台湾的 CRC 高危人群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing Genetic Susceptibility to Colorectal Cancer in Taiwan Through Genome-Wide Association Study.

We conducted the first genome-wide association study (GWAS) of colorectal cancer (CRC) in Taiwan with 5342 cases and 61,015 controls. Ninety-two SNPs in three genomic regions reached genome-wide significance (p < 5 × 10-8). The lead SNPs in these three regions were: rs12778523 (OR = 1.18, 95% CI, 1.15-1.23, p = 4.51 × 10-13), an intergenic SNP between RNA5SP299 and LINC02676 at chromosome 10p14; rs647161 (OR = 1.14, 95% CI, 1.09-1.19, p = 2.21 × 10-9), an intronic SNP in PITX1 at 5q31.1, and rs10427139 (OR = 1.20, 95% CI, 1.14-1.28, p = 3.62 × 10-9), an intronic SNP in GPATCH1 at 19q13.1. We further validated CRC susceptibility SNPs previously identified through GWAS in other populations. A total of 61 CRC susceptibility SNPs were confirmed in Taiwanese. The top validated putative CRC susceptibility genes included: POU2AF2, HAO1, LAMC1, EIF3H, BMP2, ZMIZ1, BMP4, POLD3, CDKN1A, PREX1, CDKN2B, CDH1, and LRIG1. The top enriched pathways included TGF-β signaling, BMP signaling, extracellular matrix organization, DNA repair, and cell cycle control. We could not validate SNPs in HLA-G at 6p22.1 and in NOTCH4 at 6p21.32. We generated a weighted genetic risk score (GRS) using the 61 SNPs and constructed receiver operating characteristic (ROC) curves using the GRS to predict CRC. The area under the ROC curve (AUC) was 0.589 for GRS alone and 0.645 for GRS, sex, and age. These susceptibility SNPs and genes provide important insights into the molecular mechanisms of CRC development and help identify high-risk individuals for CRC in Taiwan.

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来源期刊
Molecular Carcinogenesis
Molecular Carcinogenesis 医学-生化与分子生物学
CiteScore
7.30
自引率
2.20%
发文量
112
审稿时长
2 months
期刊介绍: Molecular Carcinogenesis publishes articles describing discoveries in basic and clinical science of the mechanisms involved in chemical-, environmental-, physical (e.g., radiation, trauma)-, infection and inflammation-associated cancer development, basic mechanisms of cancer prevention and therapy, the function of oncogenes and tumors suppressors, and the role of biomarkers for cancer risk prediction, molecular diagnosis and prognosis.
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