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学科主题: 临床医学
题名:
Risk prediction of esophageal squamous-cell carcinoma with common genetic variants and lifestyle factors in Chinese population
作者: Chang, Jiang1,2; Huang, Ying1,2; Wei, Lixuan1,2; Ma, Baoshan3; Miao, Xiaoping4; Li, Yun5; Hu, Zhibin; Yu, Dianke1,2; Jia, Weihua6; Liu, Yu1,2; Tan, Wen1,2; He, Zhonghu7,8; Ke, Yang8; Wu, Tangchun4; Shen, Hongbing7; Zeng, Yixin6; Wu, Chen1,2; Lin, Dongxin1,2
刊名: CARCINOGENESIS
发表日期: 2013-08-01
DOI: 10.1093/carcin/bgt106
卷: 34, 期:8, 页:1782-1786
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Oncology
研究领域[WOS]: Oncology
关键词[WOS]: GENOME-WIDE ASSOCIATION ; CANCER-RISK ; SUSCEPTIBILITY LOCI ; ALCOHOL-DRINKING ; ENVIRONMENT INTERACTIONS ; METAANALYSIS ; POLYMORPHISMS ; BREAST ; PLCE1
英文摘要:

Genome-wide association studies have identified multiple genetic variants associated with risk of esophageal squamous-cell carcinoma (ESCC) in Chinese populations. We examined whether these genetic factors, along with non-genetic factors, can contribute to ESCC risk prediction. We examined 25 single nucleotide polymorphisms (SNPs) and 4 non-genetic factors (sex, age, smoking and drinking) associated with ESCC risk in 9805 cases and 10 493 controls from Chinese populations. Weighted genetic risk score (wGRS) was calculated and logistic regression was used to analyze the association between wGRS and ESCC risk. We calculated the area under the curve (AUC) using receiver operating characteristic curve analysis to measure the discrimination after adding genetic variants to the model with only non-genetic factors. Net reclassification improvement (NRI) was used to quantify the degree of correct reclassification using different models. wGRS of the combined 17 SNPs with significant marginal effect (G SNPs) increased similar to 4-fold ESCC risk (P 1.49 10(164)) and the associations were significant in both drinkers and non-drinkers. However, wGRS of the eight SNPs with significant effect in gene drinking interaction (GE SNPs) increased similar to 4-fold ESCC risk only in drinkers (P-interaction 8.76 10(41)). The AUC for a risk model with 4 non-genetic factors, 17 G SNPs, 8 GE SNPs and their interactions with drinking was 70.1%, with the significant improvement of 7.0% compared with the model with only non-genetic factors (P < 0.0001). Our results indicate that incorporating genetic variants, lifestyle factors and their interactions in ESCC risk models can be useful for identifying patients with ESCC.

语种: 英语
所属项目编号: 2011CB504303
项目资助者: National Basic Research Program of China
WOS记录号: WOS:000322666800010
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/54301
Appears in Collections:北京大学临床肿瘤学院_期刊论文

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作者单位: 1.Chinese Acad Med Sci, Canc Inst & Hosp, State Key Lab Mol Oncol, Beijing 100021, Peoples R China
2.Peking Union Med Coll, Beijing 100021, Peoples R China
3.Dalian Maritime Univ, Coll Informat Sci & Technol, Dalian, Liaoning, Peoples R China
4.Huazhong Univ Sci & Technol, Minist Educ, Sch Publ Hlth, Key Lab Environm & Hlth, Wuhan 430074, Hubei, Peoples R China
5.Univ N Carolina, Dept Genet, Chapel Hill, NC USA
6.Sun Yat Sen Univ, Ctr Canc, State Key Lab Oncol Southern China, Guangzhou 510275, Guangdong, Peoples R China
7.Nanjing Med Univ, Dept Epidemiol & Biostat, Ctr Canc, Nanjing, Jiangsu, Peoples R China
8.Peking Univ, Sch Oncol, Beijing Canc Hosp & Inst, Key Lab Carcinogenesis & Translat Res,Minist Educ, Beijing 100871, Peoples R China

Recommended Citation:
Chang, Jiang,Huang, Ying,Wei, Lixuan,et al. Risk prediction of esophageal squamous-cell carcinoma with common genetic variants and lifestyle factors in Chinese population[J]. CARCINOGENESIS,2013,34(8):1782-1786.
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