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Featured researches published by Tangchun Wu.


Nature Genetics | 2011

A genome-wide association study identifies two new lung cancer susceptibility loci at 13q12.12 and 22q12.2 in Han Chinese

Zhibin Hu; Chen Wu; Yongyong Shi; Huan Guo; Xueying Zhao; Zhihua Yin; Lei Yang; Juncheng Dai; Lingmin Hu; Wen Tan; Zhiqiang Li; Qifei Deng; Jiucun Wang; Wei Wu; Guangfu Jin; Jiang Y; Dianke Yu; Guoquan Zhou; Hongyan Chen; Peng Guan; Yijiang Chen; Yongqian Shu; Lin Xu; Xiangyang Liu; Li Liu; Ping Xu; Baohui Han; Chunxue Bai; Yuxia Zhao; Haibo Zhang

Lung cancer is the leading cause of cancer-related deaths worldwide. To identify genetic factors that modify the risk of lung cancer in individuals of Chinese ancestry, we performed a genome-wide association scan in 5,408 subjects (2,331 individuals with lung cancer (cases) and 3,077 controls) followed by a two-stage validation among 12,722 subjects (6,313 cases and 6,409 controls). The combined analyses identified six well-replicated SNPs with independent effects and significant lung cancer associations (P < 5.0 × 10−8) located in TP63 (rs4488809 at 3q28, P = 7.2 × 10−26), TERT-CLPTM1L (rs465498 and rs2736100 at 5p15.33, P = 1.2 × 10−20 and P = 1.0 × 10−27, respectively), MIPEP-TNFRSF19 (rs753955 at 13q12.12, P = 1.5 × 10−12) and MTMR3-HORMAD2-LIF (rs17728461 and rs36600 at 22q12.2, P = 1.1 × 10−11 and P = 6.2 × 10−13, respectively). Two of these loci (13q12.12 and 22q12.2) were newly identified in the Chinese population. These results suggest that genetic variants in 3q28, 5p15.33, 13q12.12 and 22q12.2 may contribute to the susceptibility of lung cancer in Han Chinese.


web science | 2012

Genome-wide association study in Han Chinese identifies four new susceptibility loci for coronary artery disease.

Xiangfeng Lu; L. Wang; Shufeng Chen; Lin He; Xueli Yang; Yongyong Shi; Jing Cheng; Liang Zhang; C. Charles Gu; Jianfeng Huang; Tangchun Wu; Yitong Ma; Jianxin Li; Jie Cao; Jichun Chen; Dongliang Ge; Zhongjie Fan; Ying Li; Liancheng Zhao; Hongfan Li; Xiaoyang Zhou; Lanying Chen; Donghua Liu; Jingping Chen; Xiufang Duan; Yongchen Hao; Ligui Wang; Fanghong Lu; Zhendong Liu; Chong Shen

We performed a meta-analysis of 2 genome-wide association studies of coronary artery disease comprising 1,515 cases and 5,019 controls followed by replication studies in 15,460 cases and 11,472 controls, all of Chinese Han ancestry. We identify four new loci for coronary artery disease that reached the threshold of genome-wide significance (P < 5 × 10−8). These loci mapped in or near TTC32-WDR35, GUCY1A3, C6orf10-BTNL2 and ATP2B1. We also replicated four loci previously identified in European populations (in or near PHACTR1, TCF21, CDKN2A-CDKN2B and C12orf51). These findings provide new insights into pathways contributing to the susceptibility for coronary artery disease in the Chinese Han population.


Nature Genetics | 2011

Genome-wide association study identifies three new susceptibility loci for esophageal squamous-cell carcinoma in Chinese populations

Chen Wu; Zhibin Hu; Zhonghu He; Weihua Jia; Feng Wang; Yifeng Zhou; Zhihua Liu; Qimin Zhan; Yu Liu; Dianke Yu; Kan Zhai; Jiang Chang; Yan Qiao; Guangfu Jin; Zhe Liu; Yuanyuan Shen; Chuanhai Guo; Jianhua Fu; Xiaoping Miao; Wen Tan; Hongbing Shen; Yang Ke; Yixin Zeng; Tangchun Wu; Dongxin Lin

Esophageal squamous-cell carcinoma (ESCC) is one of the most prevalent cancers worldwide and occurs at a relatively high frequency in China. To identify genetic susceptibility loci for ESCC, we conducted a genome-wide association study on 2,031 individuals with ESCC (cases) and 2,044 controls of Chinese descent using 666,141 autosomal SNPs. We evaluated promising associations in an additional 6,276 cases and 6,165 controls of Chinese descent from different areas of China. We identified seven susceptibility loci on chromosomes 5q11, 6p21, 10q23, 12q24 and 21q22 (ranging from P = 7.48 × 10−12 to P = 2.44 × 10−31); among these loci, 5q11, 6p21 and 21q22 were newly identified. Three variants in high linkage disequilibrium on 12q24 confer their risks to ESCC in a gene-lifestyle interaction manner, with more pronounced risk enhancement seen in tobacco and alcohol users. Furthermore, the identified variants had a cumulative association with ESCC risk (Ptrend = 7.92 × 10−56). These findings highlight the involvement of multiple genetic loci and gene-environment interaction in the development of esophageal cancer.


Nature Genetics | 2011

A genome-wide association study identifies new susceptibility loci for non-cardia gastric cancer at 3q13.31 and 5p13.1

Yongyong Shi; Zhibin Hu; Chen Wu; Juncheng Dai; Huizhang Li; Jing Dong; Meilin Wang; Xiaoping Miao; Yifeng Zhou; Feng Lu; Hanze Zhang; Lingmin Hu; Jiang Y; Zhiqiang Li; Minjie Chu; Hongxia Ma; Jiaping Chen; Guangfu Jin; Wen Tan; Tangchun Wu; Zhengdong Zhang; Dongxin Lin; Hongbing Shen

Gastric cancer, including the cardia and non-cardia types, is the second leading cause of cancer-related deaths worldwide. To identify genetic risk variants for non-cardia gastric cancer, we performed a genome-wide association study in 3,279 individuals (1,006 with non-cardia gastric cancer and 2,273 controls) of Chinese descent. We replicated significant associations in an additional 6,897 subjects (3,288 with non-cardia gastric cancer and 3,609 controls). We identified two new susceptibility loci for non-cardia gastric cancer at 5p13.1 (rs13361707 in the region including PTGER4 and PRKAA1; odds ratio (OR) = 1.41; P = 7.6 × 10−29) and 3q13.31 (rs9841504 in ZBTB20; OR = 0.76; P = 1.7 × 10−9). Imputation analyses also confirmed previously reported associations of rs2294008 and rs2976392 on 8q24, rs4072037 on 1q22 and rs13042395 on 20p13 with non-cardia gastric cancer susceptibility in the Han Chinese population.


Nature Genetics | 2012

Genome-wide association analyses of esophageal squamous cell carcinoma in Chinese identify multiple susceptibility loci and gene-environment interactions

Chen Wu; Peter Kraft; Kan Zhai; Jiang Chang; Zhaoming Wang; Yun Li; Zhibin Hu; Zhonghu He; Weihua Jia; Christian C. Abnet; Liming Liang; Nan Hu; Xiaoping Miao; Yifeng Zhou; Zhihua Liu; Qimin Zhan; Yu Liu; Yan Qiao; Yuling Zhou; Guangfu Jin; Chuanhai Guo; Changdong Lu; Haijun Yang; Jianhua Fu; Dianke Yu; Neal D. Freedman; Ti Ding; Wen Tan; Alisa M. Goldstein; Tangchun Wu

We conducted a genome-wide association study (GWAS) and a genome-wide gene-environment interaction analysis of esophageal squamous-cell carcinoma (ESCC) in 2,031 affected individuals (cases) and 2,044 controls with independent validation in 8,092 cases and 8,620 controls. We identified six new ESCC susceptibility loci, of which four, at chromosomes 4q23, 16q12.1, 22q12 and 3q27 had a significant marginal effect (P = 1.78 × 10−39 to P = 2.49 × 10−11) and two of which, at 2q22 and 13q33, had a significant association only in the gene–alcohol drinking interaction (gene-environment interaction P (PG × E) = 4.39 × 10−11 and PG × E = 4.80 × 10−8, respectively). Variants at the 4q23 locus, which includes the ADH cluster, each had a significant interaction with alcohol drinking in their association with ESCC risk (PG × E = 2.54 × 10−7 to PG × E = 3.23 × 10−2). We confirmed the known association of the ALDH2 locus on 12q24 to ESCC, and a joint analysis showed that drinkers with both of the ADH1B and ALDH2 risk alleles had a fourfold increased risk for ESCC compared to drinkers without these risk alleles. Our results underscore the direct genetic contribution to ESCC risk, as well as the genetic contribution to ESCC through interaction with alcohol consumption.


PLOS Genetics | 2010

The 5p15.33 locus is associated with risk of lung adenocarcinoma in never-smoking females in Asia.

Chao A. Hsiung; Qing Lan; Yun-Chul Hong; Chien-Jen Chen; H. Dean Hosgood; I-Shou Chang; Nilanjan Chatterjee; Paul Brennan; Chen Wu; Wei Zheng; Gee-Chen Chang; Tangchun Wu; Jae Yong Park; Chin-Fu Hsiao; Yeul Hong Kim; Hongbing Shen; Adeline Seow; Meredith Yeager; Ying-Huang Tsai; Young Tae Kim; Wong-Ho Chow; Huan Guo; Wen-Chang Wang; Sook Whan Sung; Zhibin Hu; Kuan-Yu Chen; Joo Hyun Kim; Ying Chen; Liming Huang; Kyoung-Mu Lee

Genome-wide association studies of lung cancer reported in populations of European background have identified three regions on chromosomes 5p15.33, 6p21.33, and 15q25 that have achieved genome-wide significance with p-values of 10−7 or lower. These studies have been performed primarily in cigarette smokers, raising the possibility that the observed associations could be related to tobacco use, lung carcinogenesis, or both. Since most women in Asia do not smoke, we conducted a genome-wide association study of lung adenocarcinoma in never-smoking females (584 cases, 585 controls) among Han Chinese in Taiwan and found that the most significant association was for rs2736100 on chromosome 5p15.33 (p = 1.30×10−11). This finding was independently replicated in seven studies from East Asia totaling 1,164 lung adenocarcinomas and 1,736 controls (p = 5.38×10−11). A pooled analysis achieved genome-wide significance for rs2736100. This SNP marker localizes to the CLPTM1L-TERT locus on chromosome 5p15.33 (p = 2.60×10−20, allelic risk = 1.54, 95% Confidence Interval (CI) 1.41–1.68). Risks for heterozygote and homozygote carriers of the minor allele were 1.62 (95% CI; 1.40–1.87), and 2.35 (95% CI: 1.95–2.83), respectively. In summary, our results show that genetic variation in the CLPTM1L-TERT locus of chromosome 5p15.33 is directly associated with the risk of lung cancer, most notably adenocarcinoma.


Cancer Research | 2009

Genetic Variants on Chromosome 15q25 Associated with Lung Cancer Risk in Chinese Populations

Chen Wu; Zhibin Hu; Dianke Yu; Liming Huang; Guangfu Jin; Jie Liang; Huan Guo; Wen Tan; Mingfeng Zhang; Ji Qian; Daru Lu; Tangchun Wu; Dongxin Lin; Hongbing Shen

Recent three genome-wide association studies have mapped a lung cancer susceptibility locus to chromosome 15q25 in Caucasians. However, the reported risk single nucleotide polymorphisms (SNPs) are extremely rare in Asians, arguing against any of these being causative variants. This study sought to identify other variants on 15q25 associated with lung cancer susceptibility in Chinese. Two-stage case-control studies were conducted in subjects derived from both Northern and Southern China. The first-stage, consisting of 576 cases and 576 controls, was to discover novel risk variants using a haplotype-tagging SNP approach, and these variants were then replicated in the second-stage, consisting of 2,989 cases and 2,880 controls. Associations were estimated by logistic regression models, and function of the variants was examined by biochemical assays. We found that the three risk SNPs reported in Caucasians were not associated with lung cancer risk in Chinese. However, we identified four novel SNPs (rs2036534C>T, rs667282C>T, rs12910984G>A, and rs6495309T>C) that were associated with significantly increased lung cancer risk and smoking behavior, which were all confirmed in the replication analyses [odds ratios (95% confidence intervals) in the dominant model: 1.39 (1.23-1.57; P = 2.3 x 10(-7)), 1.52 (1.35-1.71; P = 2.0 x 10(-12)), 1.44 (1.28-1.63; P = 2.7 x 10(-9)), and 1.43 (1.27-1.61; P = 2.6 x 10(-9)), respectively]. We characterized the rs6495309T>C change in the CHRNA3 promoter as a functional variant because it affected the Oct-1 binding ability, resulting in increased CHRNA3 expression. These results support 15q25 as a susceptibility region for lung cancer in Chinese but underscore the difference in genetic markers among different ethnic populations.


Diabetes | 2013

A Genome-Wide Association Study Identifies GRK5 and RASGRP1 as Type 2 Diabetes Loci in Chinese Hans

Huaixing Li; Wei Gan; Ling Lu; Xiao Dong; Xueyao Han; Cheng Hu; Zhen Yang; Liang Sun; Wei Bao; Pengtao Li; Meian He; Liangdan Sun; Yiqin Wang; Jingwen Zhu; Qianqian Ning; Yong Tang; Rong Zhang; Jie Wen; Di Wang; Xilin Zhu; Kunquan Guo; Xianbo Zuo; Xiaohui Guo; Handong Yang; Xianghai Zhou; Xuejun Zhang; Lu Qi; Ruth J. F. Loos; Frank B. Hu; Tangchun Wu

Substantial progress has been made in identification of type 2 diabetes (T2D) risk loci in the past few years, but our understanding of the genetic basis of T2D in ethnically diverse populations remains limited. We performed a genome-wide association study and a replication study in Chinese Hans comprising 8,569 T2D case subjects and 8,923 control subjects in total, from which 10 single nucleotide polymorphisms were selected for further follow-up in a de novo replication sample of 3,410 T2D case and 3,412 control subjects and an in silico replication sample of 6,952 T2D case and 11,865 control subjects. Besides confirming seven established T2D loci (CDKAL1, CDKN2A/B, KCNQ1, CDC123, GLIS3, HNF1B, and DUSP9) at genome-wide significance, we identified two novel T2D loci, including G-protein–coupled receptor kinase 5 (GRK5) (rs10886471: P = 7.1 × 10−9) and RASGRP1 (rs7403531: P = 3.9 × 10−9), of which the association signal at GRK5 seems to be specific to East Asians. In nondiabetic individuals, the T2D risk-increasing allele of RASGRP1-rs7403531 was also associated with higher HbA1c and lower homeostasis model assessment of β-cell function (P = 0.03 and 0.0209, respectively), whereas the T2D risk-increasing allele of GRK5-rs10886471 was also associated with higher fasting insulin (P = 0.0169) but not with fasting glucose. Our findings not only provide new insights into the pathophysiology of T2D, but may also shed light on the ethnic differences in T2D susceptibility.


The Lancet Diabetes & Endocrinology | 2015

Relation of active, passive, and quitting smoking with incident type 2 diabetes: a systematic review and meta-analysis

An Pan; Yeli Wang; Mohammad Talaei; Frank B. Hu; Tangchun Wu

BACKGROUND Cigarette smoking remains the leading avoidable cause of disease burden worldwide, and observational studies have linked various smoking behaviours (active smoking, passive smoking, and smoking cessation) with risk of type 2 diabetes. We did a meta-analysis of prospective studies to investigate the associations between various smoking behaviours and diabetes risk. METHODS We systematically searched MEDLINE (up to May 3, 2015) and Embase (up to April 16, 2014) for reports of prospective studies, using search terms related to smoking, diabetes mellitus, and studies with a prospective design. We supplemented this strategy with manual searches of the reference lists of retrieved publications and relevant reviews. We included prospective studies that reported risk of type 2 diabetes by baseline smoking status. We calculated pooled relative risks (RRs) with 95% CIs using random-effects models, and did subgroup analyses by participant and study characteristics. FINDINGS We identified 88 eligible prospective studies with 5 898 795 participants and 295 446 incident cases of type 2 diabetes. The pooled RR of type 2 diabetes was 1·37 (95% CI 1·33-1·42) for comparing current smoking with non-smoking (84 studies with 5 853 952 participants), 1·14 (1·10-1·18) for comparing former smoking with never smoking (47 studies with 2 930 391 participants), and 1·22 (1·10-1·35) for comparing never smokers with and without exposure to passive smoke (seven studies with 156 439 participants). The associations persisted in all subgroups, and we identified a dose-response relation for current smoking and diabetes risk: compared with never smokers, the RRs were 1·21 (1·10-1·33) for light smokers, 1·34 (1·27-1·41) for moderate smokers, and 1·57 (1·47-1·66) for heavy smokers. Based on the assumption that the association between smoking and diabetes risk is causal, we estimated that 11·7% of cases of type 2 diabetes in men and 2·4% in women (ie, about 27·8 million cases in total worldwide) were attributable to active smoking. Compared with never smokers, the pooled RR from ten studies with 1 086 608 participants was 1·54 (95% CI 1·36-1·74) for new quitters (<5 years), 1·18 (1·07-1·29) for middle-term quitters (5-9 years), and 1·11 (1·02-1·20) for long-term quitters (≥10 years). INTERPRETATION Active and passive smoking are associated with significantly increased risks of type 2 diabetes. The risk of diabetes is increased in new quitters, but decreases substantially as the time since quitting increases. If the association between smoking and risk of type 2 diabetes is causal, public health efforts to reduce smoking could have a substantial effect on the worldwide burden of type 2 diabetes. FUNDING Chinese National Thousand Talents Program for Distinguished Young Scholars, US National Institutes of Health, the Chinese National 111 Project, and the Program for Changjiang Scholars and Innovative Research Team in University from the Chinese Ministry of Education.


Nature Genetics | 2012

Genome-wide association study identifies five loci associated with susceptibility to pancreatic cancer in Chinese populations.

Chen Wu; Xiaoping Miao; Liming Huang; Xu Che; Guoliang Jiang; Dianke Yu; Xianghong Yang; Guangwen Cao; Zhibin Hu; Yongjian Zhou; Chaohui Zuo; C.H. Wang; Xianghong Zhang; Yifeng Zhou; Xianjun Yu; Wanjin Dai; Zhao-Shen Li; Hongbing Shen; Luming Liu; Yanling Chen; Sheng Zhang; Xiaoqi Wang; Kan Zhai; Jiang Chang; Yu Liu; Menghong Sun; Wei Cao; Jun Gao; Ying Ma; Xiongwei Zheng

Pancreatic cancer has the lowest survival rate among human cancers, and there are no effective markers for its screening and early diagnosis. To identify genetic susceptibility markers for this cancer, we carried out a genome-wide association study on 981 individuals with pancreatic cancer (cases) and 1,991 cancer-free controls of Chinese descent using 666,141 autosomal SNPs. Promising associations were replicated in an additional 2,603 pancreatic cancer cases and 2,877 controls recruited from 25 hospitals in 16 provinces or cities in China. We identified five new susceptibility loci at chromosomes 21q21.3, 5p13.1, 21q22.3, 22q13.32 and 10q26.11 (P = 2.24 × 10−13 to P = 4.18 × 10−10) in addition to 13q22.1 previously reported in populations of European ancestry. These results advance our understanding of the development of pancreatic cancer and highlight potential targets for the prevention or treatment of this cancer.

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Meian He

Huazhong University of Science and Technology

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Jing Yuan

Huazhong University of Science and Technology

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Xiaomin Zhang

Huazhong University of Science and Technology

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Huan Guo

Huazhong University of Science and Technology

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Weihong Chen

Huazhong University of Science and Technology

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Handong Yang

Hubei University of Medicine

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Xiaoping Miao

Huazhong University of Science and Technology

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Chen Wu

Peking Union Medical College

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Hongbing Shen

Nanjing Medical University

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