Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Minjie Chu is active.

Publication


Featured researches published by Minjie Chu.


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.


PLOS Genetics | 2012

GWAS Identifies Novel Susceptibility Loci on 6p21.32 and 21q21.3 for Hepatocellular Carcinoma in Chronic Hepatitis B Virus Carriers

Shengping Li; Ji Qian; Yuan Yang; Wanting Zhao; Juncheng Dai; Jin Xin Bei; Jia Nee Foo; Paul J. McLaren; Zhiqiang Li; Yang J; Feng Shen; Li Liu; Jiamei Yang; Shuhong Li; Shandong Pan; Yi Wang; Wenjin Li; Xiangjun Zhai; Boping Zhou; Lehua Shi; Xinchun Chen; Minjie Chu; Yi-Qun Yan; Jun Wang; Shuqun Cheng; Jiawei Shen; Weihua Jia; Jibin Liu; Jiahe Yang; Zujia Wen

Genome-wide association studies (GWAS) have recently identified KIF1B as susceptibility locus for hepatitis B virus (HBV)–related hepatocellular carcinoma (HCC). To further identify novel susceptibility loci associated with HBV–related HCC and replicate the previously reported association, we performed a large three-stage GWAS in the Han Chinese population. 523,663 autosomal SNPs in 1,538 HBV–positive HCC patients and 1,465 chronic HBV carriers were genotyped for the discovery stage. Top candidate SNPs were genotyped in the initial validation samples of 2,112 HBV–positive HCC cases and 2,208 HBV carriers and then in the second validation samples of 1,021 cases and 1,491 HBV carriers. We discovered two novel associations at rs9272105 (HLA-DQA1/DRB1) on 6p21.32 (OR = 1.30, P = 1.13×10−19) and rs455804 (GRIK1) on 21q21.3 (OR = 0.84, P = 1.86×10−8), which were further replicated in the fourth independent sample of 1,298 cases and 1,026 controls (rs9272105: OR = 1.25, P = 1.71×10−4; rs455804: OR = 0.84, P = 6.92×10−3). We also revealed the associations of HLA-DRB1*0405 and 0901*0602, which could partially account for the association at rs9272105. The association at rs455804 implicates GRIK1 as a novel susceptibility gene for HBV–related HCC, suggesting the involvement of glutamate signaling in the development of HBV–related HCC.


Hepatology | 2012

Genetic variants in human leukocyte antigen/DP‐DQ influence both hepatitis B virus clearance and hepatocellular carcinoma development

Lingmin Hu; Xiangjun Zhai; Jibin Liu; Minjie Chu; Shandong Pan; Jie Jiang; Yixin Zhang; Hua Wang; Jianguo Chen; Hongbing Shen; Zhibin Hu

Recent genome‐wide association studies showed that four single‐nucleotide polymorphisms (SNPs) in human leukocyte antigen (HLA)‐DP (rs3077and rs9277535) and HLA‐DQ (rs2856718 and rs7453920) were associated with chronic hepatitis B virus (HBV) infection in Japanese populations. More than 75% of hepatocellular carcinoma (HCC) patients are attributable to persistent infection of hepatitis B virus (HBV), especially in China. We genotyped these four SNPs in 1,300 HBV‐positive HCC patients, 1,344 persistent HBV carriers, and 1,344 persons with HBV natural clearance from Southeast China to further test the associations of HLA‐DP/DQ variants and with risk of both HBV clearance and HCC development. Logistic regression analyses showed that HLA‐DQ rs2856718 significantly decreased host HCC risk, whereas three SNPs were associated with HBV clearance (HLA‐DP rs9277535 as well as HLA‐DQ rs7453920 and rs2856718). In addition, HLA‐DP rs3077 showed an approaching significant effect on susceptibility to HBV persistent infection and HCC development when considering multiple testing adjustments. Taken together, we report, for the first time, that genetic variants in the HLA‐DP and HLA‐DQ loci may be marker SNPs for risk of both HBV clearance and HCC development. (HEPATOLOGY 2011)


Nature Genetics | 2012

Association analyses identify multiple new lung cancer susceptibility loci and their interactions with smoking in the Chinese population

Jing Dong; Zhibin Hu; Chen Wu; Huan Guo; Baosen Zhou; Jiachun Lv; Daru Lu; Kexin Chen; Yongyong Shi; Minjie Chu; Cheng Wang; Ruyang Zhang; Juncheng Dai; Jiang Y; Songyu Cao; Zhenzhen Qin; Dianke Yu; Hongxia Ma; Guangfu Jin; Jianhang Gong; Chongqi Sun; Xueying Zhao; Zhihua Yin; Lei Yang; Zhiqiang Li; Qifei Deng; Jiucun Wang; Wei Wu; Hong Zheng; Guoquan Zhou

To find additional susceptibility loci for lung cancer, we tested promising associations from our previous genome-wide association study (GWAS) of lung cancer in the Chinese population in an extended validation sample size of 7,436 individuals with lung cancer (cases) and 7,483 controls. We found genome-wide significant (P < 5.0 × 10−8) evidence for three additional lung cancer susceptibility loci at 10p14 (rs1663689, close to GATA3, P = 2.84 × 10−10), 5q32 (rs2895680 in PPP2R2B-STK32A-DPYSL3, P = 6.60 × 10−9) and 20q13.2 (rs4809957 in CYP24A1, P = 1.20 × 10−8). We also found consistent associations for rs247008 at 5q31.1 (IL3-CSF2-P4HA2, P = 7.68 × 10−8) and rs9439519 at 1p36.32 (AJAP1-NPHP4, P = 3.65 × 10−6). Four of these loci showed evidence for interactions with smoking dose (P = 1.72 × 10−10, P = 5.07 × 10−3, P = 6.77 × 10−3 and P = 4.49 × 10−2 for rs2895680, rs4809957, rs247008 and rs9439519, respectively). These results advance our understanding of lung cancer susceptibility and highlight potential pathways that integrate genetic variants and smoking in the development of lung cancer.


Nature Genetics | 2013

New loci associated with chronic hepatitis B virus infection in Han Chinese

Zhibin Hu; Yao Liu; Xiangjun Zhai; Juncheng Dai; Guangfu Jin; Li Wang; Liguo Zhu; Yuan Yang; Jibin Liu; Minjie Chu; Juan Wen; Kaipeng Xie; Guoming Du; Q. Wang; Yuchun Zhou; Minquan Cao; Li Liu; Yisha He; Ying Wang; Gangqiao Zhou; Weihua Jia; Jiachun Lu; Shengping Li; Jianjun Liu; Haitao Yang; Yongyong Shi; Weiping Zhou; Hongbing Shen

Chronic hepatitis B virus (HBV) infection is a challenging global health problem. To identify genetic loci involved in chronic HBV infection, we designed a three-phase genome-wide association study in Han Chinese populations. The discovery phase included 951 HBV carriers (cases) and 937 individuals who had naturally cleared HBV infection (controls) and was followed by independent replications with a total of 2,248 cases and 3,051 controls and additional replications with 1,982 HBV carriers and 2,622 controls from the general population. We identified two new loci associated with chronic HBV infection: rs3130542 at 6p21.33 (near HLA-C, odds ratio (OR) = 1.33, P = 9.49 × 10−14) and rs4821116 at 22q11.21 (in UBE2L3, OR = 0.82, P = 1.71 × 10−12). Additionally, we replicated the previously identified associations of HLA-DP and HLA-DQ variants at 6p21.32 with chronic HBV infection. These findings highlight the importance of HLA-C and UBE2L3 in the clearance of HBV infection in addition to HLA-DP and HLA-DQ.


Clinical Cancer Research | 2012

Genome-Wide Association Study of Prognosis in Advanced Non–Small Cell Lung Cancer Patients Receiving Platinum-Based Chemotherapy

Lingmin Hu; Chen Wu; Xueying Zhao; Rebecca S. Heist; Li Su; Yang Zhao; Baohui Han; Songyu Cao; Minjie Chu; Juncheng Dai; Jing Dong; Yongqian Shu; Lin Xu; Yijiang Chen; Yi Wang; Feng Lu; Jiang Y; Dianke Yu; Hongyan Chen; Wen Tan; Hongxia Ma; Jiaping Chen; Guangfu Jin; Tangchun Wu; Daru Lu; David C. Christiani; Dongxin Lin; Zhibin Hu; Hongbing Shen

Purpose: Genetic variation may influence chemotherapy response and overall survival in cancer patients. Experimental design: We conducted a genome-wide scan in 535 advanced-stage non–small cell lung cancer (NSCLC) patients from two independent cohorts (307 from Nanjing and 228 from Beijing). A replication was carried out on an independent cohort of 340 patients from Southeastern China followed by a second validation on 409 patients from the Massachusetts General Hospital (Boston, MA). Results: Consistent associations with NSCLC survival were identified for five single-nucleotide polymorphisms (SNP) in Chinese populations with P values ranging from 3.63 × 10−5 to 4.19 × 10−7 in the additive genetic model. The minor allele of three SNPs (rs7629386 at 3p22.1, rs969088 at 5p14.1, and rs3850370 at 14q24.3) were associated with worse NSCLC survival while 2 (rs41997 at 7q31.31 and rs12000445 at 9p21.3) were associated with better NSCLC survival. In addition, rs7629386 at 3p22.1 (CTNNB1) and rs3850370 at 14q24.3 (SNW1-ALKBH1-NRXN3) were further replicated in the Caucasian population. Conclusion: In this three-stage genome-wide association studies, we identified five SNPs as markers for survival of advanced-stage NSCLC patients treated with first-line platinum-based chemotherapy in Chinese Han populations. Two of these SNPs, rs7629386 and rs3850370, could also be markers for survival among Caucasian patients. Clin Cancer Res; 18(19); 5507–14. ©2012 AACR.


Human Molecular Genetics | 2015

Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci

Meian He; Min Xu; Ben Zhang; Jun Liang; Peng Chen; Jong-Young Lee; Todd A. Johnson; Huaixing Li; Xiaobo Yang; Juncheng Dai; Liming Liang; Lixuan Gui; Qibin Qi; Jinyan Huang; Yanping Li; Linda S. Adair; Tin Aung; Qiuyin Cai; Ching-Yu Cheng; Myeong Chan Cho; Yoon Shin Cho; Minjie Chu; Bin Cui; Yu-Tang Gao; Min Jin Go; Dongfeng Gu; Weiqiong Gu; Huan Guo; Yongchen Hao; Jie Hong

Human height is associated with risk of multiple diseases and is profoundly determined by an individuals genetic makeup and shows a high degree of ethnic heterogeneity. Large-scale genome-wide association (GWA) analyses of adult height in Europeans have identified nearly 180 genetic loci. A recent study showed high replicability of results from Europeans-based GWA studies in Asians; however, population-specific loci may exist due to distinct linkage disequilibrium patterns. We carried out a GWA meta-analysis in 93 926 individuals from East Asia. We identified 98 loci, including 17 novel and 81 previously reported loci, associated with height at P < 5 × 10(-8), together explaining 8.89% of phenotypic variance. Among the newly identified variants, 10 are commonly distributed (minor allele frequency, MAF > 5%) in Europeans, with comparable frequencies with in Asians, and 7 single-nucleotide polymorphisms are with low frequency (MAF < 5%) in Europeans. In addition, our data suggest that novel biological pathway such as the protein tyrosine phosphatase family is involved in regulation of height. The findings from this study considerably expand our knowledge of the genetic architecture of human height in Asians.


Toxicology Letters | 2014

Global gene expression profiling of human bronchial epithelial cells exposed to airborne fine particulate matter collected from Wuhan, China

Xiaojie Ding; Meilin Wang; Haiyan Chu; Minjie Chu; Tong Na; Yang Wen; Dongmei Wu; Bin Han; Zhipeng Bai; Weihong Chen; Jing Yuan; Tangchun Wu; Zhibin Hu; Zhengdong Zhang; Hongbing Shen

BACKGROUND Many studies have linked ambient fine particulate matter (PM2.5) air pollution to different cardiopulmonary diseases in the general population. However the complex mechanisms underlying PM2.5-induced adverse health effects are not yet to be fully elucidated. METHOD In this study, we aimed to identify genes and pathways that may contribute to PM2.5-induced lung toxicity in humans through genome-wide approaches. Human bronchial epithelial (HBE) cells, exposed to various concentrations of PM2.5 collected from Wuhan, China, showed decreased cell viability in a dose-dependent manner. HBE cells were exposed to 200 μg/ml and 500 μg/ml PM2.5 and microarrays were used to obtain a global view of the transcriptomic responses. RESULTS A total of 970 and 492 genes were identified that significantly changed after 200 μg/ml and 500 μg/ml PM2.5 exposures, respectively. PM2.5 induced a large number of genes involved in inflammatory and immune response, response to oxidative stress, and response to DNA damage stimulus, which might contribute to PM2.5 related cardiopulmonary diseases. Pathway analysis revealed that different dose of PM2.5 triggered partially common disturbed pathways. Flow cytometry assay evidenced that there were statistically significant differences in the G1 phase of cell cycle after low or high-dose PM2.5 exposure when compared to the unexposed controls. Only high-dose PM2.5 significantly increased the proportion of cells in the S phase of cell cycle. CONCLUSION We identified many genes and pathways that altered significantly in HBE cells after PM2.5 exposures. These findings are important in providing further understanding of the mechanisms underlying PM2.5-induced adverse health effects.


PLOS Genetics | 2013

Genome-wide association study identifies a novel susceptibility locus at 12q23.1 for lung squamous cell carcinoma in han chinese

Jing Dong; Guangfu Jin; Chen Wu; Huan Guo; Baosen Zhou; Jiachun Lv; Daru Lu; Yongyong Shi; Yongqian Shu; Lin Xu; Minjie Chu; Cheng Wang; Ruyang Zhang; Juncheng Dai; Jiang Y; Dianke Yu; Hongxia Ma; Xueying Zhao; Zhihua Yin; Lei Yang; Zhiqiang Li; Qifei Deng; Songyu Cao; Zhenzhen Qin; Jianhang Gong; Chongqi Sun; Jiucun Wang; Wei Wu; Guoquan Zhou; Hongyan Chen

Adenocarcinoma (AC) and squamous cell carcinoma (SqCC) are two major histological subtypes of lung cancer. Genome-wide association studies (GWAS) have made considerable advances in the understanding of lung cancer susceptibility. Obvious heterogeneity has been observed between different histological subtypes of lung cancer, but genetic determinants in specific to lung SqCC have not been systematically investigated. Here, we performed the GWAS analysis specifically for lung SqCC in 833 SqCC cases and 3,094 controls followed by a two-stage replication in additional 2,223 lung SqCC cases and 6,409 controls from Chinese populations. We found that rs12296850 in SLC17A8-NR1H4 gene region at12q23.1 was significantly associated with risk of lung SqCC at genome-wide significance level [additive model: odds ratio (OR) = 0.78, 95% confidence interval (CI) = 0.72–0.84, P = 1.19×10−10]. Subjects carrying AG or GG genotype had a 26% (OR = 0.74, 95% CI = 0.67–0.81) or 32% (OR = 0.68, 95% CI = 0.56–0.83) decreased risk of lung SqCC, respectively, as compared with AA genotype. However, we did not observe significant association between rs12296850 and risk of lung AC in a total of 4,368 cases with lung AC and 9,486 controls (OR = 0.96, 95% CI = 0.90–1.02, P = 0.173). These results indicate that genetic variations on chromosome 12q23.1 may specifically contribute to lung SqCC susceptibility in Chinese population.


Carcinogenesis | 2014

A genome-wide gene-environment interaction analysis for tobacco smoke and lung cancer susceptibility

Ruyang Zhang; Minjie Chu; Yang Zhao; Chen Wu; Huan Guo; Yongyong Shi; Juncheng Dai; Yongyue Wei; Guangfu Jin; Hongxia Ma; Jing Dong; Honggang Yi; Jianling Bai; Jianhang Gong; Chongqi Sun; Meng Zhu; Tangchun Wu; Zhibin Hu; Dongxin Lin; Hongbing Shen; Feng Chen

Tobacco smoke is the major environmental risk factor underlying lung carcinogenesis. However, approximately one-tenth smokers develop lung cancer in their lifetime indicating there is significant individual variation in susceptibility to lung cancer. And, the reasons for this are largely unknown. In particular, the genetic variants discovered in genome-wide association studies (GWAS) account for only a small fraction of the phenotypic variations for lung cancer, and gene-environment interactions are thought to explain the missing fraction of disease heritability. The ability to identify smokers at high risk of developing cancer has substantial preventive implications. Thus, we undertook a gene-smoking interaction analysis in a GWAS of lung cancer in Han Chinese population using a two-phase designed case-control study. In the discovery phase, we evaluated all pair-wise (591 370) gene-smoking interactions in 5408 subjects (2331 cases and 3077 controls) using a logistic regression model with covariate adjustment. In the replication phase, promising interactions were validated in an independent population of 3023 subjects (1534 cases and 1489 controls). We identified interactions between two single nucleotide polymorphisms and smoking. The interaction P values are 6.73 × 10(-) (6) and 3.84 × 10(-) (6) for rs1316298 and rs4589502, respectively, in the combined dataset from the two phases. An antagonistic interaction (rs1316298-smoking) and a synergetic interaction (rs4589502-smoking) were observed. The two interactions identified in our study may help explain some of the missing heritability in lung cancer susceptibility and present strong evidence for further study of these gene-smoking interactions, which are benefit to intensive screening and smoking cessation interventions.

Collaboration


Dive into the Minjie Chu's collaboration.

Top Co-Authors

Avatar

Juncheng Dai

Nanjing Medical University

View shared research outputs
Top Co-Authors

Avatar

Zhibin Hu

Nanjing Medical University

View shared research outputs
Top Co-Authors

Avatar

Hongbing Shen

Nanjing Medical University

View shared research outputs
Top Co-Authors

Avatar

Guangfu Jin

Nanjing Medical University

View shared research outputs
Top Co-Authors

Avatar

Tangchun Wu

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Chen Wu

Peking Union Medical College

View shared research outputs
Top Co-Authors

Avatar

Hongxia Ma

Nanjing Medical University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Chongqi Sun

Nanjing Medical University

View shared research outputs
Top Co-Authors

Avatar

Jianhang Gong

Nanjing Medical University

View shared research outputs
Researchain Logo
Decentralizing Knowledge