Lixuan Gui
Huazhong University of Science and Technology
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Featured researches published by Lixuan Gui.
Human Molecular Genetics | 2015
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.
BMC Medical Genomics | 2014
Binyao Yang; Zengnan Mo; Chen Wu; Handong Yang; Xiaobo Yang; Yunfeng He; Lixuan Gui; Li Zhou; Huan Guo; Xiaomin Zhang; Jing Yuan; Xiayun Dai; Jun Li; Gaokun Qiu; Suli Huang; Qifei Deng; Yingying Feng; Lei Guan; Die Hu; Xiao Zhang; Tian Wang; Jiang Zhu; Xinwen Min; Mingjian Lang; Dongfeng Li; Frank B. Hu; Dongxin Lin; Tangchun Wu; Meian He
BackgroundUric acid (UA) is a complex phenotype influenced by both genetic and environmental factors as well as their interactions. Current genome-wide association studies (GWASs) have identified a variety of genetic determinants of UA in Europeans; however, such studies in Asians, especially in Chinese populations remain limited.MethodsA two-stage GWAS was performed to identify single nucleotide polymorphisms (SNPs) that were associated with serum uric acid (UA) in a Chinese population of 12,281 participants (GWAS discovery stage included 1452 participants from the Dongfeng-Tongji cohort (DFTJ-cohort) and 1999 participants from the Fangchenggang Area Male Health and Examination Survey (FAMHES). The validation stage included another independent 8830 individuals from the DFTJ-cohort). Affymetrix Genome-Wide Human SNP Array 6.0 chips and Illumina Omni-Express platform were used for genotyping for DFTJ-cohort and FAMHES, respectively. Gene-environment interactions on serum UA levels were further explored in 10,282 participants from the DFTJ-cohort.ResultsBriefly, we identified two previously reported UA loci of SLC2A9 (rs11722228, combined P = 8.98 × 10-31) and ABCG2 (rs2231142, combined P = 3.34 × 10-42). The two independent SNPs rs11722228 and rs2231142 explained 1.03% and 1.09% of the total variation of UA levels, respectively. Heterogeneity was observed across different populations. More importantly, both independent SNPs rs11722228 and rs2231142 were nominally significantly interacted with gender on serum UA levels (P for interaction = 4.0 × 10-2 and 2.0 × 10-2, respectively). The minor allele (T) for rs11722228 in SLC2A9 has greater influence in elevating serum UA levels in females compared to males and the minor allele (T) of rs2231142 in ABCG2 had stronger effects on serum UA levels in males than that in females.ConclusionsTwo genetic loci (SLC2A9 and ABCG2) were confirmed to be associated with serum UA concentration. These findings strongly support the evidence that SLC2A9 and ABCG2 function in UA metabolism across human populations. Furthermore, we observed these associations are modified by gender.
Gut | 2014
Meian He; Chen Wu; Jianfeng Xu; Huan Guo; Handong Yang; Xiaomin Zhang; Jielin Sun; Dianke Yu; Li Zhou; Tao Peng; Yunfeng He; Jing Yuan; Qifei Deng; Xiayun Dai; Aihua Tan; Yingying Feng; Haiying Zhang; Xinwen Min; Xiaobo Yang; Jiang Zhu; Kan Zhai; Jiang Chang; Xue Qin; Wen Tan; Yanling Hu; Mingjian Lang; Sha Tao; Yuanfeng Li; Yi Li; Junjie Feng
Objective Tumour biomarkers are used as indicators for cancer screening and as predictors for therapeutic responses and prognoses in cancer patients. We aimed to identify genetic loci that influence concentrations of cancer antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA) and α fetoprotein (AFP), and investigated the associations between the significant single nucleotide polymorphisms (SNPs) with risks of oesophageal squamous cell (OSCC), pancreatic and hepatocellular cancers. Design We carried out a genome wide association study on plasma CA19-9, CEA and AFP concentrations in 3451 healthy Han Chinese and validated the results in 10 326 individuals. Significant SNPs were further investigated in three case control studies (2031 OSCC cases and 2044 controls; 981 pancreatic cancer cases and 1991 controls; and 348 hepatocellular cancer cases and 359 controls). Results The analyses showed association peaks on three genetic loci for CA19-9 (FUT6-FUT3 at 19p13.3, FUT2-CA11 at 19q13.3 and B3GNT3 at 19p13.1; p=1.16×10−13–3.30×10−290); four for CEA (ABO at 9q34.2, FUT6 at 19p13.3, FUT2 at 19q13.3 and FAM3B at 21q22.3; p=3.33×10−22–5.81×10−209); and two for AFP (AFP at 4q11-q13 and HISPPD2A at 15q15.3; p=3.27×10−18 and 1.28×10−14). These explained 17.14% of the variations in CA19-9, 8.95% in CEA and 0.57% in AFP concentrations. Significant ABO variants were also associated with risk of OSCC and pancreatic cancers, and AFP variants with risk of hepatocellular cancer (p<0.05). Conclusions This study identified several loci associated with CA19-9, CEA and AFP concentrations. The ABO variants were associated with risk of OSCC and pancreatic cancers and AFP variants with risk of hepatocellular cancer.
Genetic Epidemiology | 2013
Xiayun Dai; Chen Wu; Yunfeng He; Lixuan Gui; Li Zhou; Huan Guo; Jing Yuan; Binyao Yang; Jun Li; Qifei Deng; Suli Huang; Lei Guan; Die Hu; Jiang Zhu; Xinwen Min; Mingjian Lang; Dongfeng Li; Handong Yang; Frank B. Hu; Dongxin Lin; Tangchun Wu; Meian He
Bilirubin is an effective antioxidant and is influenced by both genetic and environmental factors. Recent genome‐wide association studies (GWAS) have identified multiple loci affecting serum total bilirubin levels. However, most of the studies were conducted in European populations and little attention has been devoted either to genetic variants associated with direct and indirect bilirubin levels or to the gene‐environment interactions on bilirubin levels. In this study, a two‐stage GWAS was performed to identify genetic variants associated with all types of bilirubin levels in 10,282 Han Chinese individuals. Gene‐environment interactions were further examined. Briefly, two previously reported loci, UGT1A1 on 2q37 (rs6742078 and rs4148323, combined P = 1.44 × 10−89 and P = 5.05 × 10−69, respectively) and SLCO1B3 on 12p12 (rs2417940, combined P = 6.93 × 10−19) were successfully replicated. The two loci explained 9.2% and 0.9% of the total variations of total bilirubin levels, respectively. Ethnic genetic differences were observed between Chinese and European populations. More importantly, a significant interaction was found between rs2417940 in SLCO1B3 gene and smoking on total bilirubin levels (P = 1.99 × 10−3). Single nucleotide polymorphism (SNP) rs2417940 had stronger effects on total bilirubin levels in nonsmokers than in smokers, suggesting that the effects of SLCO1B3 genotype on bilirubin levels were partly dependent on smoking status. Consistent associations and interactions were observed for serum direct and indirect bilirubin levels.
Atherosclerosis | 2014
Lixuan Gui; Fangqin Wu; Xu Han; Xiayun Dai; Gaokun Qiu; Jun Li; Jing Wang; Xiaoming Zhang; Tangchun Wu; Meian He
OBJECTIVE Genome-wide association studies have identified multiple genetic loci associated with coronary heart disease (CHD) risk. However, whether these loci could improve the CHD risk prediction is unclear. METHODS AND RESULTS The present case-control study (1146 CHD cases and 1146 controls) genotyped 19 recently discovered SNPs that associated with CHD risk. As a result, 10 SNPs were successfully replicated with odds ratios (ORs) ranging from 1.16 to 1.78 (P = 4.6 × 10(-2) to 5.99 × 10(-6)). A genetic risk score was constructed to assess the combined effects of the susceptibility loci on CHD risk. Subject in the second tertile (OR = 1.32, 95% CI, 1.02-1.73, P = 3.84 × 10(-2)) and the third tertile (OR = 2.62, 95% CI, 2.00-3.43, P = 3.18 × 10(-12)) had an increased risk of CHD comparing with those in the first genetic risk score tertile after adjustment for traditional risk factors including family history of CHD. Addition of the genetic risk score to the traditional model significantly improved the net reclassification as measured by the net reclassification index (NRI) (4.82%, P = 0.0001), however, no significant improvement was observed in discrimination of CHD, the area under the receiver operating characteristic curve (AUC) increased from 0.811 to 0.822 (P = 0.18). CONCLUSIONS A multilocus genetic risk score was associated with CHD risk in a Chinese Han population. This genetic risk score improved the net reclassification but not improved the CHD discrimination. The potential clinical use of this variations remains to be defined.
BMC Genomics | 2013
Jun Li; Lixuan Gui; Chen Wu; Yunfeng He; Li Zhou; Huan Guo; Jing Yuan; Binyao Yang; Xiayun Dai; Qifei Deng; Suli Huang; Lei Guan; Die Hu; Siyun Deng; Tian Wang; Jiang Zhu; Xinwen Min; Mingjian Lang; Dongfeng Li; Handong Yang; Frank B. Hu; Dongxin Lin; Tangchun Wu; Meian He
BackgroundSerum alkaline phosphatase (ALP) is a complex phenotype influenced by both genetic and environmental factors. Recent Genome-Wide Association Studies (GWAS) have identified several loci affecting ALP levels; however, such studies in Chinese populations are limited. We performed a GWAS analyzing the association between 658,288 autosomal SNPs and serum ALP in 1,461 subjects, and replicated the top SNPs in an additional 8,830 healthy Chinese Han individuals. The interactions between significant locus and environmental factors on serum ALP levels were further investigated.ResultsThe association between ABO locus and serum ALP levels was replicated (P = 2.50 × 10-21, 1.12 × 10-56 and 2.82 × 10-27 for SNP rs8176720, rs651007 and rs7025162 on ABO locus, respectively). SNP rs651007 accounted for 2.15% of the total variance of serum ALP levels independently of the other 2 SNPs. When comparing our findings with previously published studies, ethnic differences were observed across populations. A significant interaction between ABO rs651007 and overweight and obesity was observed (FDR for interaction was 0.036); for individuals with GG genotype, those with normal weight and those who were overweight or obese have similar serum ALP concentrations; minor allele A of rs651007 remarkably reduced serum ALP levels, but this effect was attenuated in overweight and obese individuals.ConclusionsOur findings indicate that ABO locus is a major determinant for serum ALP levels in Chinese Han population. Overweight and obesity modifies the effect of ABO locus on serum ALP concentrations.
Circulation-cardiovascular Genetics | 2017
Changwei Li; Yun Kyoung Kim; Rajkumar Dorajoo; Huaixing Li; I. Te Lee; Ching-Yu Cheng; Meian He; Wayne Huey-Herng Sheu; Xiuqing Guo; Santhi K. Ganesh; Jiang He; Juyoung Lee; Jianjun Liu; Yao Hu; Dabeeru C. Rao; Fuu Jen Tsai; Jia Yu Koh; Hua Hu; Kae Woei Liang; Walter Palmas; James E. Hixson; Sohee Han; Yik-Ying Teo; Yiqin Wang; Jing Chen; Chieh Hsiang Lu; Zheng Yingfeng; Lixuan Gui; Wen Jane Lee; Jie Yao
Background— Genome-wide single marker and gene-based meta-analyses of long-term average (LTA) blood pressure (BP) phenotypes may reveal novel findings for BP. Methods and Results— We conducted genome-wide analysis among 18 422 East Asian participants (stage 1) followed by replication study of ⩽46 629 participants of European ancestry (stage 2). Significant single-nucleotide polymorphisms and genes were determined by a P<5.0×10−8 and 2.5×10−6, respectively, in joint analyses of stage-1 and stage-2 data. We identified 1 novel ARL3 variant, rs4919669 at 10q24.32, influencing LTA systolic BP (stage-1 P=5.03×10−8, stage-2 P=8.64×10−3, joint P=2.63×10−8) and mean arterial pressure (stage-1 P=3.59×10−9, stage-2 P=2.35×10−2, joint P=2.64×10−8). Three previously reported BP loci (WBP1L, NT5C2, and ATP2B1) were also identified for all BP phenotypes. Gene-based analysis provided the first robust evidence for association of KCNJ11 with LTA systolic BP (stage-1 P=8.55×10−6, stage-2 P=1.62×10−5, joint P=3.28×10−9) and mean arterial pressure (stage-1 P=9.19×10−7, stage-2 P=9.69×10−5, joint P=2.15×10−9) phenotypes. Fourteen genes (TMEM180, ACTR1A, SUFU, ARL3, SFXN2, WBP1L, CYP17A1, C10orf32, C10orf32-ASMT, AS3MT, CNNM2, and NT5C2 at 10q24.32; ATP2B1 at 12q21.33; and NCR3LG1 at 11p15.1) implicated by previous genome-wide association study meta-analyses were also identified. Among the loci identified by the previous genome-wide association study meta-analysis of LTA BP, we transethnically replicated associations of the KCNK3 marker rs1275988 at 2p23.3 with LTA systolic BP and mean arterial pressure phenotypes (P=1.27×10−4 and 3.30×10−4, respectively). Conclusions— We identified 1 novel variant and 1 novel gene and present the first direct evidence of relevance of the KCNK3 locus for LTA BP among East Asians.
BMC Genetics | 2015
Xu Han; Lixuan Gui; Bing Liu; Jing Wang; Yaru Li; Xiayun Dai; Jun Li; Binyao Yang; Gaokun Qiu; Jing Feng; Xiaomin Zhang; Tangchun Wu; Meian He
BackgroundMultiple studies investigated the associations between serum uric acid and coronary heart disease (CHD) risk. However, further investigations still remain to be carried out to determine whether there exists a causal relationship between them. We aim to explore the associations between genetic variants in uric acid related loci of SLC2A9 and ABCG2 and CHD risk in a Chinese population.ResultsA case–control study including 1,146 CHD cases and 1,146 controls was conducted. Association analysis between two uric acid related variants (SNP rs11722228 in SLC2A9 and rs4148152 in ABCG2) and CHD risk was performed by logistic regression model. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Compared with subjects with A allele of rs4148152, those with G allele had a decreased CHD risk and the association remained significant in a multivariate model. However, it altered to null when BMI was added into the model. No significant association was observed between rs11722228 and CHD risk. The distribution of CHD risk factors was not significantly different among different genotypes of both SNPs. Among subjects who did not consume alcohol, the G allele of rs4148152 showed a moderate protective effect. However, no significant interactions were observed between SNP by CHD risk factors on CHD risk.ConclusionsThere might be no association between the two uric acid related SNPs with CHD risk. Further studies were warranted to validate these results.
European Journal of Epidemiology | 2013
Xiayun Dai; Jing Yuan; Ping Yao; Binyao Yang; Lixuan Gui; Xiaomin Zhang; Huan Guo; Wang Y; Weihong Chen; Sheng Wei; Xiaoping Miao; Xiulou Li; Xinwen Min; Handong Yang; Weimin Fang; Yuan Liang; Frank B. Hu; Tangchun Wu; Meian He