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Su X, Cheung CYY, Zhong J, Ru Y, Fong CHY, Lee CH, Liu Y, Cheung CKY, Lam KSL, Xu A, Cai Z. Ten metabolites-based algorithm predicts the future development of type 2 diabetes in Chinese. J Adv Res 2023:S2090-1232(23)00365-X. [PMID: 38030128 DOI: 10.1016/j.jare.2023.11.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/10/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023] Open
Abstract
INTRODUCTION Type 2 diabetes (T2D) is a heterogeneous metabolic disease with large variations in the relative contributions of insulin resistance and β-cell dysfunction across different glucose tolerance subgroups and ethnicities. A more precise yet feasible approach to categorize risk preceding T2D onset is urgently needed. This study aimed to identify potential metabolic biomarkers that could contribute to the development of T2D and investigate whether their impact on T2D is mediated through insulin resistance and β-cell dysfunction. METHODS A non-targeted metabolomic analysis was performed in plasma samples of 196 incident T2D cases and 196 age- and sex-matched non-T2D controls recruited from a long-term prospective Chinese community-based cohort with a follow-up period of ∼ 16 years. RESULTS Metabolic profiles revealed profound perturbation of metabolomes before T2D onset. Overall metabolic shifts were strongly associated with insulin resistance rather than β-cell dysfunction. In addition, 188 out of the 578 annotated metabolites were associated with insulin resistance. Bi-directional mediation analysis revealed putative causal relationships among the metabolites, insulin resistance and T2D risk. We built a machine-learning based prediction model, integrating the conventional clinical risk factors (age, BMI, TyG index and 2hG) and 10 metabolites (acetyl-tryptophan, kynurenine, γ-glutamyl-phenylalanine, DG(18:2/22:6), DG(38:7), LPI(18:2), LPC(P-16:0), LPC(P-18:1), LPC(P-20:0) and LPE(P-20:0)) (AUROC = 0.894, 5.6% improvement comparing to the conventional clinical risk model), that successfully predicts the development of T2D. CONCLUSIONS Our findings support the notion that the metabolic changes resulting from insulin resistance, rather than β-cell dysfunction, are the primary drivers of T2D in Chinese adults. Metabolomes as a valuable phenotype hold potential clinical utility in the prediction of T2D.
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Affiliation(s)
- Xiuli Su
- State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China
| | - Chloe Y Y Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Junda Zhong
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Yi Ru
- State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China
| | - Carol H Y Fong
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Yan Liu
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Cynthia K Y Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Karen S L Lam
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China.
| | - Aimin Xu
- Department of Medicine, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Pharmacology & Pharmacy, The University of Hong Kong, Hong Kong, China.
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China.
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Zhong J, Cheung CYY, Su X, Lee CH, Ru Y, Fong CHY, Liu Y, Cheung CKY, Lam KSL, Cai Z, Xu A. Specific triacylglycerol, diacylglycerol, and lyso-phosphatidylcholine species for the prediction of type 2 diabetes: a ~ 16-year prospective study in Chinese. Cardiovasc Diabetol 2022; 21:234. [PMCID: PMC9637304 DOI: 10.1186/s12933-022-01677-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/22/2022] [Indexed: 11/07/2022] Open
Abstract
Background Bioactive lipids play an important role in insulin secretion and sensitivity, contributing to the pathophysiology of type 2 diabetes (T2D). This study aimed to identify novel lipid species associated with incident T2D in a nested case–control study within a long-term prospective Chinese community-based cohort with a median follow-up of ~ 16 years. Methods Plasma samples from 196 incident T2D cases and 196 age- and sex-matched non-T2D controls recruited from the Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS) were first analyzed using untargeted lipidomics. Potential predictive lipid species selected by the Boruta analysis were then verified by targeted lipidomics. The associations between these lipid species and incident T2D were assessed. Effects of novel lipid species on insulin secretion in mouse islets were investigated. Results Boruta analysis identified 16 potential lipid species. After adjustment for body mass index (BMI), triacylglycerol/high-density lipoprotein (TG/HDL) ratio and the presence of prediabetes, triacylglycerol (TG) 12:0_18:2_22:6, TG 16:0_11:1_18:2, TG 49:0, TG 51:1 and diacylglycerol (DG) 18:2_22:6 were independently associated with increased T2D risk, whereas lyso-phosphatidylcholine (LPC) O-16:0, LPC P-16:0, LPC O-18:0 and LPC 18:1 were independently associated with decreased T2D risk. Addition of the identified lipid species to the clinical prediction model, comprised of BMI, TG/HDL ratio and the presence of prediabetes, achieved a 3.8% improvement in the area under the receiver operating characteristics curve (AUROC) (p = 0.0026). Further functional study revealed that, LPC O-16:0 and LPC O-18:0 significantly potentiated glucose induced insulin secretion (GSIS) in a dose-dependent manner, whereas neither DG 18:2_22:6 nor TG 12:0_18:2_22:6 had any effect on GSIS. Conclusions Addition of the lipid species substantially improved the prediction of T2D beyond the model based on clinical risk factors. Decreased levels of LPC O-16:0 and LPC O-18:0 may contribute to the development of T2D via reduced insulin secretion. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01677-4.
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Affiliation(s)
- Junda Zhong
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Chloe Y. Y. Cheung
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Xiuli Su
- grid.221309.b0000 0004 1764 5980State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Chi-Ho Lee
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Yi Ru
- grid.221309.b0000 0004 1764 5980State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Carol H. Y. Fong
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Yan Liu
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Cynthia K. Y. Cheung
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Karen S. L. Lam
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Zongwei Cai
- grid.221309.b0000 0004 1764 5980State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Aimin Xu
- grid.194645.b0000000121742757Department of Medicine, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China ,grid.194645.b0000000121742757Department of Pharmacology & Pharmacy, The University of Hong Kong, Hong Kong, China
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Chan YH, Schooling CM, Zhao J, Au Yeung SL, Hai JJ, Thomas GN, Cheng KK, Jiang CQ, Wong YK, Au KW, Tang CS, Cheung CYY, Xu A, Sham PC, Lam TH, Lam KSL, Tse HF. Mendelian Randomization Focused Analysis of Vitamin D on the Secondary Prevention of Ischemic Stroke. Stroke 2021; 52:3926-3937. [PMID: 34565175 DOI: 10.1161/strokeaha.120.032634] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Experimental studies showed vitamin D (Vit-D) could promote vascular regeneration and repair. Prior randomized studies had focused mainly on primary prevention. Whether Vit-D protects against ischemic stroke and myocardial infarction recurrence among subjects with prior ischemic insults was unknown. Here, we dissected through Mendelian randomization any effect of Vit-D on the secondary prevention of recurrent ischemic stroke and myocardial infarction. METHODS Based on a genetic risk score for Vit-D constructed from a derivation cohort sample (n=5331, 45% Vit-D deficient, 89% genotyped) via high-throughput exome-chip screening of 12 prior genome-wide association study-identified genetic variants of Vit-D mechanistic pathways (rs2060793, rs4588, and rs7041; F statistic, 73; P<0.001), we performed a focused analysis on prospective recurrence of myocardial infarction (MI) and ischemic stroke in an independent subsample with established ischemic disease (n=441, all with prior first ischemic event; follow-up duration, 41.6±14.3 years) under a 2-sample, individual-data, prospective Mendelian randomization approach. RESULTS In the ischemic disease subsample, 11.1% (n=49/441) had developed recurrent ischemic stroke or MI and 13.3% (n=58/441) had developed recurrent or de novo ischemic stroke/MI. Kaplan-Meier analyses showed that genetic risk score predicted improved event-free survival from recurrent ischemic stroke or MI (log-rank, 13.0; P=0.001). Cox regression revealed that genetic risk score independently predicted reduced risk of recurrent ischemic stroke or MI combined (hazards ratio, 0.62 [95% CI, 0.48-0.81]; P<0.001), after adjusted for potential confounders. Mendelian randomization supported that Vit-D is causally protective against the primary end points of recurrent ischemic stroke or MI (Wald estimate: odds ratio, 0.55 [95% CI, 0.35-0.81]) and any recurrent or de novo ischemic stroke/MI (odds ratio, 0.64 [95% CI, 0.42-0.91]) and recurrent MI alone (odds ratio, 0.52 [95% CI, 0.30-0.81]). CONCLUSIONS Genetically predicted lowering in Vit-D level is causal for the recurrence of ischemic vascular events in persons with prior ischemic stroke or MI.
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Affiliation(s)
- Yap-Hang Chan
- Division of Cardiology, Queen Mary Hospital (Y.-H.C., J.J.H., Y.-K.W., K.-W.A., H.-F.T.), The University of Hong Kong, Hong Kong SAR, China
| | - C Mary Schooling
- School of Public Health (C.M.S., J.Z., S.-L.A.Y., T.-H.L.), The University of Hong Kong, Hong Kong SAR, China
| | - Jie Zhao
- School of Public Health (C.M.S., J.Z., S.-L.A.Y., T.-H.L.), The University of Hong Kong, Hong Kong SAR, China
| | - Shiu-Lun Au Yeung
- School of Public Health (C.M.S., J.Z., S.-L.A.Y., T.-H.L.), The University of Hong Kong, Hong Kong SAR, China
| | - Jo Jo Hai
- Division of Cardiology, Queen Mary Hospital (Y.-H.C., J.J.H., Y.-K.W., K.-W.A., H.-F.T.), The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, Shenzhen Hong Kong University Hospital, China (J.J.H., H.-F.T.)
| | - G Neil Thomas
- Department of Public Health and Epidemiology, University of Birmingham, United Kingdom (G.N.T., K.-K.C.)
| | - Kar-Keung Cheng
- Department of Public Health and Epidemiology, University of Birmingham, United Kingdom (G.N.T., K.-K.C.)
| | | | - Yuen-Kwun Wong
- Division of Cardiology, Queen Mary Hospital (Y.-H.C., J.J.H., Y.-K.W., K.-W.A., H.-F.T.), The University of Hong Kong, Hong Kong SAR, China
| | - Ka-Wing Au
- Division of Cardiology, Queen Mary Hospital (Y.-H.C., J.J.H., Y.-K.W., K.-W.A., H.-F.T.), The University of Hong Kong, Hong Kong SAR, China
| | - Clara S Tang
- Department of Psychiatry and Centre for Genomic Sciences (C.S.T., P.-C.S.), The University of Hong Kong, Hong Kong SAR, China
| | - Chloe Y Y Cheung
- Division of Endocrinology, Queen Mary Hospital (C.Y.Y.C., A.X., K.S.-L.L.), The University of Hong Kong, Hong Kong SAR, China
| | - Aimin Xu
- Division of Endocrinology, Queen Mary Hospital (C.Y.Y.C., A.X., K.S.-L.L.), The University of Hong Kong, Hong Kong SAR, China
| | - Pak-Chung Sham
- Department of Psychiatry and Centre for Genomic Sciences (C.S.T., P.-C.S.), The University of Hong Kong, Hong Kong SAR, China
| | - Tai-Hing Lam
- School of Public Health (C.M.S., J.Z., S.-L.A.Y., T.-H.L.), The University of Hong Kong, Hong Kong SAR, China
| | - Karen Siu-Ling Lam
- Division of Endocrinology, Queen Mary Hospital (C.Y.Y.C., A.X., K.S.-L.L.), The University of Hong Kong, Hong Kong SAR, China
| | - Hung-Fat Tse
- Division of Cardiology, Queen Mary Hospital (Y.-H.C., J.J.H., Y.-K.W., K.-W.A., H.-F.T.), The University of Hong Kong, Hong Kong SAR, China.,Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine (H.-F.T.), The University of Hong Kong, Hong Kong SAR, China.,Shenzhen Institutes of Research and Innovation (H.-F.T.), The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, Shenzhen Hong Kong University Hospital, China (J.J.H., H.-F.T.)
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4
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Lee CH, Lui DTW, Cheung CYY, Woo YC, Fong CHY, Yuen MMA, Shea YF, Siu DCW, Chan KH, Chow WS, Lam KSL. Different glycaemia-related risk factors for incident Alzheimer's disease in men and women with type 2 diabetes-A sex-specific analysis of the Hong Kong diabetes database. Diabetes Metab Res Rev 2021; 37:e3401. [PMID: 32870568 DOI: 10.1002/dmrr.3401] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 06/01/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022]
Abstract
AIMS Sexual dimorphism has been reported in the epidemiology, neurobiologic susceptibility and clinical presentation of Alzheimer's disease (AD). As poor glycaemic control is associated with increased risks of AD, we aimed to investigate whether glycaemia-related risk factors also differ between men and women, using a retrospective, sex-specific analysis of a large Chinese cohort with diabetes. MATERIALS & METHODS A total of 85,514 Chinese individuals with type 2 diabetes (T2D; 46,783 women and 38,731 men), aged ≥60 years, were identified from electronic health records and observed for incident AD. Multivariable Cox regression analysis was used to evaluate the associations with incident AD of several glycaemia-related risk factors, including severe hypoglycaemia, mean HbA1c and indices of HbA1c variability, in men and women separately. RESULTS Over a median follow-up of 6 years, women had a higher incidence of AD than men (2.3% vs. 1.2%, p < 0.001). Both men and women shared the same independent non-glycaemic clinical predictors, which included older age, lower body mass index and longer duration of diabetes. However, for glycaemia-related risk factors, we observed that severe hypoglycaemia and indices of HbA1c variability were independent predictors of incident AD in women but not in men, and the associations were irrespective of their baseline glycaemic control and duration of diabetes. CONCLUSIONS Our findings highlighted that glycaemia-related risk factors for incident AD differ between men and women with T2D. Strategies to maintain glycaemic stability and avoid severe hypoglycaemia might be especially important to preserve healthy cognition in older women with diabetes.
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Affiliation(s)
- Chi-Ho Lee
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong, China
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - David T W Lui
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Chloe Y Y Cheung
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Yu-Cho Woo
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Carol H Y Fong
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Michele M A Yuen
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Yat-Fung Shea
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - David C W Siu
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Koon-Ho Chan
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Wing-Sun Chow
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Karen S L Lam
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong, China
- Department of Medicine, University of Hong Kong, Hong Kong, China
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Cheung CYY, Lee CH, Fong CHY, Chow WS, Woo YC, Yuen M, Tan KCB, Xu A, Sham PC, Lam KSL. Identification of ANXA2 as a Potential Susceptibility Gene for Diabetic Retinopathy in a Genome-Wide Association Analysis in Chinese Patients With Type 2 Diabetes Mellitus. J Endocr Soc 2021. [PMCID: PMC8089817 DOI: 10.1210/jendso/bvab048.846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Background: Diabetic retinopathy (DR) is the most frequent microvascular complication of type 2 diabetes mellitus (T2DM). Variation in allele frequencies between different ethnic groups may influence the detectability of the risk variants in different populations. It is therefore important to conduct ethnic-specific association analysis to discover novel loci. The major objective of this study was to conduct a 2-stage genome-wide association study (GWAS) to identify novel susceptibility single nucleotide polymorphisms (SNPs) for sight-threatening DR in Chinese patients with T2DM. Methods and Materials: The discovery stage consisted of 681 STDR cases and 758 non-STDR controls of Southern Chinese ancestry. The Illumina Infinium Asian Screening Array (ASA) was used for genotyping of the subjects. Imputation was performed using the TOPMed Imputation Server. SNPs with minor allele frequency (MAF) <0.01 and INFO score <0.3 were excluded. Single variant association analysis was performed in SNPTEST using the multiple logistic regression model with adjustment for age, gender, duration of diabetes, hypertension, hemoglobin A1c (HbA1c), and the first five principal components. The replication cohort was comprised of an independent sample set of 278 STDR cases and 834 non-STDR controls. Meta-analysis of the association results of the discovery and replication stages was conducted using the “GWAMA” software. The inverse variance fixed-effect method was used to meta-analyze the summary statistics of the two stages. Results: In the discovery stage, the strongest association was detected at an intronic variant of ANXA2 (P=1.87x10-7; OR[95%CI]:1.59[1.31–1.96]). Ninety-three SNPs showing suggestive associations (P<5x10-5) with STDR in the discovery stage were selected for replication. In the meta-analysis of the two stages, the ANXA2 SNP again showed the strongest association with STDR (P=2.18x10-6; OR[95%CI]: 1.45[1.24–1.70]). ANXA2 encodes the annexin A2 which has been shown to play an important role in promoting angiogenesis. An intronic SNP of DOC2B, a tumor suppressor gene that exhibits functions in cell proliferation and migration, also demonstrated a marginal association with STDR (P=5.17x10-6; OR[95%CI]: 1.41[1.22–1.63]). Two intergenic variants located at the RPL31P11-FCRLA (P=7.25x10-6; OR[95%CI]: 1.54[1.27–1.85]) and COL6A1-COL6A2 (P=9.60x10-6; OR[95%CI]: 0.73[0.63–0.84]) loci also showed suggestive associations with STDR. Conclusion: Several novel STDR-associated genetic variants were identified in this genome-wide association study. Our findings have shed new lights on the genetic basis of STDR in Chinese patients with T2DM. Further validation in independent cohorts to validate our findings are warranted. Acknowledgements: This study was supported by the Research Grant Council – General Research Fund of Hong Kong (Ref no.: 17118119).
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Affiliation(s)
| | - Chi Ho Lee
- The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | | | - Wing-Sun Chow
- The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Yu Cho Woo
- The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Michele Yuen
- The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Kathryn C B Tan
- The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Aimin Xu
- The University of Hong Kong, Hong Kong, Hong Kong
| | - Pak C Sham
- The University of Hong Kong, Hong Kong, Hong Kong
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6
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Sun P, Zhou W, Fu Y, Cheung CYY, Dong Y, Yang ML, Zhang H, Jia J, Huo Y, Willer CJ, Chen YE, Tang CS, Tse HF, Lam KSL, Gao W, Xu M, Yu H, Sham PC, Zhang Y, Ganesh SK. An Asian-specific MPL genetic variant alters JAK-STAT signaling and influences platelet count in the population. Hum Mol Genet 2021; 30:836-842. [PMID: 33693786 DOI: 10.1093/hmg/ddab062] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/20/2021] [Accepted: 02/23/2021] [Indexed: 12/27/2022] Open
Abstract
Genomic discovery efforts for hematological traits have been successfully conducted through genome-wide association study on samples of predominantly European ancestry. We sought to conduct unbiased genetic discovery for coding variants that influence hematological traits in a Han Chinese population. A total of 5257 Han Chinese subjects from Beijing, China were included in the discovery cohort and analyzed by an Illumina ExomeChip array. Replication analyses were conducted in 3827 independent Chinese subjects. We analyzed 12 hematological traits and identified 22 exome-wide significant single-nucleotide polymorphisms (SNP)-trait associations with 15 independent SNPs. Our study provides replication for two associations previously reported but not replicated. Further, one association was identified and replicated in the current study, of a coding variant in the myeloproliferative leukemia (MPL) gene, c.793C > T, p.Leu265Phe (L265F) with increased platelet count (β = 20.6 109 cells/l, Pmeta-analysis = 2.6 × 10-13). This variant is observed at ~2% population frequency in East Asians, whereas it has not been reported in gnomAD European or African populations. Functional analysis demonstrated that expression of MPL L265F in Ba/F3 cells resulted in enhanced phosphorylation of Stat3 and ERK1/2 as compared with the reference MPL allele, supporting altered activation of the JAK-STAT signal transduction pathway as the mechanism underlying the novel association between MPL L265F and platelet count.
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Affiliation(s)
- Pengfei Sun
- Department of Cardiology, Peking University First Hospital, Beijing 100034, China
| | - Wei Zhou
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yi Fu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China.,Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing 100191, China
| | - Chloe Y Y Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong 999077, China
| | - Yujun Dong
- Department of Hematology, Peking University First Hospital, Beijing 100034, China
| | - Min-Lee Yang
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - He Zhang
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, Beijing 100034, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing 100034, China
| | - Cristen J Willer
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Y Eugene Chen
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Clara S Tang
- Department of Surgery, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong 999077, China
| | - Hung-Fat Tse
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Karen S L Lam
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Wei Gao
- Department of Cardiology, Peking University Third Hospital, Beijing 100083, China
| | - Ming Xu
- Department of Cardiology, Peking University Third Hospital, Beijing 100083, China
| | - Haiyi Yu
- Department of Cardiology, Peking University Third Hospital, Beijing 100083, China
| | - Pak Chung Sham
- Department of Psychiatry and Centre for PanorOmic Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong 999077, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing 100034, China.,Institute of Cardiovascular Disease?Peking University First Hospital, Beijing, 100034, China
| | - Santhi K Ganesh
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
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7
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Ng KKK, Cheung CYY, Lee CH, Fong CHY, Kwok KHM, Li KKW, Gangwani RA, Wong IYH, Woo YC, Chow WS, Yuen MMA, Wong RLC, Xu A, Wong DSH, Sham PC, Lam KSL. Possible Modifying Effect of Hemoglobin A1c on Genetic Susceptibility to Severe Diabetic Retinopathy in Patients With Type 2 Diabetes. Invest Ophthalmol Vis Sci 2021; 61:7. [PMID: 32756921 PMCID: PMC7441357 DOI: 10.1167/iovs.61.10.7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Purpose Glycemic control has been recognized as an important modifiable risk factor for diabetic retinopathy (DR). Whether hemoglobin A1c (HbA1c), as an indicator of glycemic control, could modify the genetic susceptibility to severe DR remains to be investigated. This study aimed to investigate whether HbA1c could modulate the genetic susceptibility to severe DR in Chinese patients with type 2 diabetes. Methods A total of 3,093 Chinese individuals with type 2 diabetes were included in the cross-sectional case-control study: 1,051 with sight-threatening DR (STDR) and 2,042 without STDR. Sixty-nine top-ranked single nucleotide polymorphisms (SNPs) identified from previous genome-wide association studies were examined for their associations with STDR and proliferative DR as a subgroup analysis. SNPs showing suggestive associations with DR were examined in the stratified analysis by dichotomized HbA1c (<7% vs. ≥7%). An interaction analysis was performed by including an interaction term of SNP × HbA1c in the regression model. Results Four SNPs showed suggestive associations with STDR. In the stratified analysis, patients with adequate glycemic control (HbA1c <7%) had a 42% lower risk of STDR for carrying each additional protective C allele of COL5A1 rs59126004 (P = 1.76 × 10−4; odds ratio, 0.58; 95% confidence interval, 0.44–0.77). rs59126004 demonstrated a significant interaction with dichotomized HbA1c on the risk of STDR (Pinteraction = 1.733 × 10−3). In the subgroup analysis for proliferative DR, the protective effect of rs59126004 was even more pronouncedly demonstrated (P = 8.35 × 10−5; odds ratio, 0.37; 95% confidence interval, 0.22–0.60) and it showed similar interactions with dichotomized HbA1c (Pinteraction = 1.729 × 10−3). Conclusions Our data provided evidence for possible interactions between HbA1c and COL5A1 rs59126004 on the risk of severe DR. These findings may provide new insight into the pathophysiologic mechanism of DR.
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Affiliation(s)
- Kelvin K K Ng
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Chloe Y Y Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Carol H Y Fong
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Kelvin H M Kwok
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Kenneth K W Li
- Department of Ophthalmology, United Christian Hospital, Hong Kong
| | - Rita A Gangwani
- Department of Ophthalmology, The University of Hong Kong, Hong Kong
| | - Ian Y H Wong
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Yu-Cho Woo
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Wing-Sun Chow
- Department of Medicine, The University of Hong Kong, Hong Kong
| | | | - Rachel L C Wong
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Aimin Xu
- Department of Medicine, The University of Hong Kong, Hong Kong,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong,Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong
| | - David S H Wong
- Department of Ophthalmology, The University of Hong Kong, Hong Kong
| | - Pak-Chung Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Karen S L Lam
- Department of Medicine, The University of Hong Kong, Hong Kong,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong,Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong
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Lee CH, Lui DTW, Cheung CYY, Fong CHY, Yuen MMA, Chow WS, Woo YC, Xu A, Lam KSL. Response to Letter to the Editor: "Higher Circulating Adiponectin Concentrations Predict Incident Cancer in Type 2 Diabetes - The Adiponectin Paradox". J Clin Endocrinol Metab 2020; 105:5863385. [PMID: 32589739 DOI: 10.1210/clinem/dgaa386] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 06/22/2020] [Indexed: 01/01/2023]
Affiliation(s)
- Chi Ho Lee
- Department of Medicine, University of Hong Kong, Hong Kong SAR
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR
| | - David T W Lui
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | | | - Carol H Y Fong
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | | | - Wing Sun Chow
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | - Yu Cho Woo
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | - Aimin Xu
- Department of Medicine, University of Hong Kong, Hong Kong SAR
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR
| | - Karen S L Lam
- Department of Medicine, University of Hong Kong, Hong Kong SAR
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR
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Lee CH, Lui DTW, Cheung CYY, Fong CHY, Yuen MMA, Chow WS, Woo YC, Xu A, Lam KSL. Higher Circulating Adiponectin Concentrations Predict Incident Cancer in Type 2 Diabetes - The Adiponectin Paradox. J Clin Endocrinol Metab 2020; 105:5740218. [PMID: 32072163 DOI: 10.1210/clinem/dgaa075] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 02/18/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Despite the beneficial cardiometabolic effects of adiponectin demonstrated in preclinical studies, paradoxically higher circulating adiponectin concentrations have been found in epidemiological studies to be associated with incident cardiovascular events, renal outcomes, and mortality in patients with diabetes. On the other hand, diabetes is also associated with an increased risk of cancer. Here, we investigated prospectively the association between circulating adiponectin concentrations and incident cancer using a cohort of exclusively individuals with type 2 diabetes. MATERIALS AND METHODS Baseline serum adiponectin concentrations were measured in 5658 participants recruited from the Hong Kong West Diabetes Registry. The associations of circulating adiponectin concentrations with incident cancer and cancer-related deaths were evaluated using multivariable Cox regression analysis, with hazard ratio (HR) for adiponectin referring to the respective risk per doubling of serum adiponectin concentration. RESULTS Over a median-follow up of 6.5 years, 7.53% and 3% of participants developed cancer and had cancer-related deaths, respectively. Serum adiponectin concentrations were significantly higher in those who had incident cancer (9.8 μg/mL vs 9.1 μg/mL, P < 0.001) and cancer-related deaths (11.5 μg/mL vs 9.3 μg/mL, P < 0.001) compared with those without. Moreover, in multivariable analyses, serum adiponectin concentration was independently associated with both incident cancer (hazard ratio, 1.19; 95% confidence interval, 1.05-1.35; P = 0.006) and cancer-related deaths (hazard ratio, 1.23; 95% confidence interval, 1.03-1.47; P = 0.024). CONCLUSIONS Higher serum adiponectin concentration was independently associated with incident cancer and cancer-related deaths in type 2 diabetes, indicating that adiponectin paradox can be observed in another major diabetic complication in addition to cardiovascular and kidney diseases.
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Affiliation(s)
- Chi Ho Lee
- Department of Medicine, University of Hong Kong, Hong Kong SAR
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR
| | - David T W Lui
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | | | - Carol H Y Fong
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | | | - Wing Sun Chow
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | - Yu Cho Woo
- Department of Medicine, University of Hong Kong, Hong Kong SAR
| | - Aimin Xu
- Department of Medicine, University of Hong Kong, Hong Kong SAR
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR
| | - Karen S L Lam
- Department of Medicine, University of Hong Kong, Hong Kong SAR
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR
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10
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Wong YK, Cheung CYY, Tang CS, Hai JSH, Lee CH, Lau KK, Au KW, Cheung BMY, Sham PC, Xu A, Lam KSL, Tse HF. High-sensitivity troponin I and B-type natriuretic peptide biomarkers for prediction of cardiovascular events in patients with coronary artery disease with and without diabetes mellitus. Cardiovasc Diabetol 2019; 18:171. [PMID: 31847896 PMCID: PMC6918569 DOI: 10.1186/s12933-019-0974-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 12/03/2019] [Indexed: 12/16/2022] Open
Abstract
Background High-sensitivity troponin I (hs-Tnl) and B-type natriuretic peptide (BNP) are promising prognostic markers for coronary artery disease (CAD). This prospective cohort study investigated whether a combination of these cardiac biomarkers with conventional risk factors would add incremental value for the prediction of secondary major adverse cardiovascular events (MACEs) in patients with CAD, with and without type 2 diabetes mellitus (T2DM). Methods Baseline plasma level of hs-Tnl and BNP was measured in 2275 Chinese patients with stable CAD. Patients were monitored for new-onset of MACE over a median of 51 months. Cox proportional hazard model and area under the receiver operating characteristic curve (AUC) were used to assess the association of cardiac biomarkers with MACE and their predictive values in relationship with or without T2DM. Results During the follow up period 402 (18%) patients experienced a new-onset MACE with hs-Tnl and BNP level significantly higher than in those without MACE. In multivariable analyses, patients with elevated hs-Tnl (hazard ratio, 1.75 [95% CI 1.41–2.17]; P < 0.001) and BNP (hazard ratio, 1.42 [95% CI 1.15–1.75]; P = 0.001) were significantly associated with an increased risk of MACE after adjustment for variables of a risk factor model of age, sex, T2DM and hypertension. The risk factor model had an AUC of 0.64 for MACE prediction. The AUC significantly increased to 0.68 by the addition of hs-Tnl to the risk factor model. Subgroup analyses showed that hs-Tnl and BNP remained significant predictors of MACE in both patients with and without T2DM in multivariable models with higher risk of MACE evident in those without T2DM. Among patients without T2DM, addition of each biomarker yielded greater predictive accuracy than in T2DM patients, with AUC further increased to 0.75 when a combination of hs-Tnl and BNP was added to the risk factor model (age, sex and hypertension). Conclusions Elevated hs-Tnl and BNP level are independent predictors of new-onset MACE in CAD patients, irrespective of diabetes status. Among CAD patients without T2DM, a combination of cardiac biomarkers hs-Tnl and BNP yield the greatest predictive value beyond conventional risk factors.
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Affiliation(s)
- Yuen-Kwun Wong
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chloe Y Y Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Clara S Tang
- Department of Surgery, The University of Hong Kong, Hong Kong, China
| | - JoJo S H Hai
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Kui-Kai Lau
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Ka-Wing Au
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Bernard M Y Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Pak-Chung Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China.,Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,State Key Laboratory in Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Aimin Xu
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China.,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China.,Department of Pharmacology & Pharmacy, The University of Hong Kong, Hong Kong, China
| | - Karen S L Lam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China. .,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China. .,Department of Medicine, Shenzhen Hong Kong University Hospital, Shenzhen, China.
| | - Hung-Fat Tse
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China. .,Department of Medicine, Shenzhen Hong Kong University Hospital, Shenzhen, China. .,Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine, The University of Hong Kong, Hong Kong, China. .,Shenzhen Institutes of Research and Innovation, The University of Hong Kong, Hong Kong, China.
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11
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Wong YK, Cheung CYY, Tang CS, Au KW, Hai JSH, Lee CH, Lau KK, Cheung BMY, Sham PC, Xu A, Lam KSL, Tse HF. Age-Biomarkers-Clinical Risk Factors for Prediction of Cardiovascular Events in Patients With Coronary Artery Disease. Arterioscler Thromb Vasc Biol 2019; 38:2519-2527. [PMID: 30354221 DOI: 10.1161/atvbaha.118.311726] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Objective- In patients with stable coronary artery disease, conventional risk factors provide limited incremental predictive value for cardiovascular events. We sought to investigate whether a panel of cardiometabolic biomarkers alone or combined with conventional risk factors would exhibit incremental value in the prediction of cardiovascular events. Approach and Results- In the discovery cohort, we measured serum adiponectin, A-FABP (adipocyte fatty acid-binding protein), lipocalin-2, FGF (fibroblast growth factor)-19 and 21, plasminogen activator inhibitor-1, and retinol-binding protein-4 in 1166 Chinese coronary artery disease patients. After a median follow-up of 35 months, 170 patients developed new-onset major adverse cardiovascular events (MACE). In the model with age ≥65 years and conventional risk factors, area under the curve for predicting MACE was 0.68. Addition of lipocalin-2 to the age-clinical risk factor model improved predictive accuracy (area under the curve=0.73). Area under the curve further increased to 0.75 when a combination of lipocalin-2, A-FABP, and FGF-19 was added to yield age-biomarkers-clinical risk factor model. The adjusted hazard ratio on MACEs for lipocalin-2, A-FABP, and FGF-19 levels above optimal cutoffs were 2.23 (95% CI, 1.62-3.08), 1.99 (95% CI, 1.43-2.76), and 1.65 (95% CI, 1.15-2.35), respectively. In the validation cohort of 1262 coronary artery disease patients with type 2 diabetes mellitus, the age-biomarkers-clinical risk factor model was confirmed to provide good discrimination and calibration over the conventional risk factor alone for prediction of MACE. Conclusions- A combination of the 3 biomarkers, lipocalin-2, A-FABP, and FGF-19, with clinical risk factors to yield the age-biomarkers-clinical risk factor model provides an optimal and validated prediction of new-onset MACE in patients with stable coronary artery disease.
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Affiliation(s)
- Yuen-Kwun Wong
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China
| | - Chloe Y Y Cheung
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China
| | - Clara S Tang
- Department of Surgery (C.S.T.), the University of Hong Kong, China
| | - Ka-Wing Au
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China
| | - JoJo S H Hai
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China
| | - Chi-Ho Lee
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China
| | - Kui-Kai Lau
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China
| | - Bernard M Y Cheung
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China
| | - Pak-Chung Sham
- Department of Psychiatry (P.-C.S.), the University of Hong Kong, China.,Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine (P.-C.S.), the University of Hong Kong, China.,State Key Laboratory in Brain and Cognitive Sciences (P.-C.S.), the University of Hong Kong, China
| | - Aimin Xu
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China.,State Key Laboratory of Pharmaceutical Biotechnology (A.X., K.S.L.L.), the University of Hong Kong, China.,Department of Pharmacology & Pharmacy (A.X.), the University of Hong Kong, China
| | - Karen S L Lam
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China.,State Key Laboratory of Pharmaceutical Biotechnology (A.X., K.S.L.L.), the University of Hong Kong, China
| | - Hung-Fat Tse
- From the Department of Medicine (Y.-K.W., C.Y.Y.C., K.-W.A., J.S.H.H., C.-H.L., K.-K.L., B.M.Y.C., A.X., K.S.L.L., H.-F.T.), the University of Hong Kong, China.,Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine (H.-F.T.), the University of Hong Kong, China.,Shenzhen Institutes of Research and Innovation (H.-F.T.), the University of Hong Kong, China.,Department of Medicine, Shenzhen Hong Kong University Hospital, China (H.-F.T.)
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12
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Cheung CYY, Lee CH, Tang CS, Xu A, Au KW, Fong CHY, Ng KKK, Kwok KHM, Chow WS, Woo YC, Yuen MMA, Hai J, Tan KCB, Lam TH, Tse HF, Sham PC, Lam KSL. Genetic Regulation of Pigment Epithelium-Derived Factor (PEDF): An Exome-Chip Association Analysis in Chinese Subjects With Type 2 Diabetes. Diabetes 2019; 68:198-206. [PMID: 30305369 DOI: 10.2337/db18-0500] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 09/29/2018] [Indexed: 11/13/2022]
Abstract
Elevated circulating levels of pigment epithelium-derived factor (PEDF) have been reported in patients with type 2 diabetes (T2D) and its associated microvascular complications. This study aimed to 1) identify the genetic determinants influencing circulating PEDF levels in a clinical setting of T2D, 2) examine the relationship between circulating PEDF and diabetes complications, and 3) explore the causal relationship between PEDF and diabetes complications. An exome-chip association study on circulating PEDF levels was conducted in 5,385 Chinese subjects with T2D. A meta-analysis of the association results of the discovery stage (n = 2,936) and replication stage (n = 2,449) was performed. The strongest association was detected at SERPINF1 (p.Met72Thr; Pcombined = 2.06 × 10-57; β [SE] -0.33 [0.02]). Two missense variants of SMYD4 (p.Arg131Ile; Pcombined = 7.56 × 10-25; β [SE] 0.21 [0.02]) and SERPINF2 (p.Arg33Trp; Pcombined = 8.22 × 10-10; β [SE] -0.15 [0.02]) showed novel associations at genome-wide significance. Elevated circulating PEDF levels were associated with increased risks of diabetic nephropathy and sight-threatening diabetic retinopathy. Mendelian randomization analysis showed suggestive evidence of a protective role of PEDF on sight-threatening diabetic retinopathy (P = 0.085). Our study provided new insights into the genetic regulation of PEDF and further support for its potential application as a biomarker for diabetic nephropathy and sight-threatening diabetic retinopathy. Further studies to explore the causal relationship of PEDF with diabetes complications are warranted.
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Affiliation(s)
- Chloe Y Y Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Clara S Tang
- Department of Surgery, The University of Hong Kong, Hong Kong, China
| | - Aimin Xu
- Department of Medicine, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
- Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Pharmacology & Pharmacy, The University of Hong Kong, Hong Kong, China
| | - Ka-Wing Au
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Carol H Y Fong
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kelvin K K Ng
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kelvin H M Kwok
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Wing-Sun Chow
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yu-Cho Woo
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Michele M A Yuen
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - JoJo Hai
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kathryn C B Tan
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Tai-Hing Lam
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Hung-Fat Tse
- Department of Medicine, The University of Hong Kong, Hong Kong, China
- Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Pak-Chung Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
- Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Karen S L Lam
- Department of Medicine, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
- Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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13
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Lee CH, Cheung CYY, Woo YC, Lui DTW, Yuen MMA, Fong CHY, Chow WS, Xu A, Lam KSL. Prospective associations of circulating adipocyte fatty acid-binding protein levels with risks of renal outcomes and mortality in type 2 diabetes. Diabetologia 2019; 62:169-177. [PMID: 30267180 DOI: 10.1007/s00125-018-4742-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 09/05/2018] [Indexed: 11/25/2022]
Abstract
AIMS/HYPOTHESIS Elevated circulating adipocyte fatty acid-binding protein (AFABP) levels have been found to correlate with diabetic nephropathy staging in cross-sectional studies. However, it remains unclear whether these higher serum levels reflect a role of AFABP in the development of diabetic kidney disease (DKD), or simply result from its impaired renal clearance in DKD. Here we investigated prospectively the prognostic importance of serum AFABP level in the development of adverse renal outcomes in a large clinic-based cohort of participants with type 2 diabetes. METHODS Baseline serum AFABP levels were measured in 5454 Chinese participants from the Hong Kong West Diabetes Registry. The association between circulating AFABP levels and incident adverse renal outcomes-defined as a composite endpoint of a sustained 40% decline in eGFR, end-stage renal disease requiring renal replacement therapy or kidney transplantation, or renal deaths-was evaluated using multivariable Cox regression analysis. RESULTS Over a median follow-up of 5 years, 754 of the 5454 participants developed incident adverse renal outcomes. Elevated circulating AFABP levels were independently associated with incident adverse renal outcomes (HR 1.43, 95% CI 1.31, 1.57, p < 0.001) after adjustments for conventional risk factors for DKD progression. Importantly, the prognostic role of serum AFABP was independent of the baseline albuminuria status or eGFR levels of the study participants. CONCLUSIONS/INTERPRETATION Circulating AFABP levels were predictive of incident adverse renal outcomes, even in participants with relatively well-preserved kidney function at baseline, suggesting its potential to be a useful marker for early risk stratification in DKD.
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Affiliation(s)
- Chi Ho Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
- Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - Chloe Y Y Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
| | - Yu Cho Woo
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
| | - David T W Lui
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
| | - Michele M A Yuen
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
| | - Carol H Y Fong
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
| | - Wing Sun Chow
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
| | - Amin Xu
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China
- Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong, SAR, People's Republic of China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - Karen S L Lam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, SAR, People's Republic of China.
- Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.
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14
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Lee CH, Chan RSM, Wan HYL, Woo YC, Cheung CYY, Fong CHY, Cheung BMY, Lam TH, Janus E, Woo J, Lam KSL. Dietary Intake of Anti-Oxidant Vitamins A, C, and E Is Inversely Associated with Adverse Cardiovascular Outcomes in Chinese-A 22-Years Population-Based Prospective Study. Nutrients 2018; 10:nu10111664. [PMID: 30400367 PMCID: PMC6265686 DOI: 10.3390/nu10111664] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 10/12/2018] [Accepted: 10/24/2018] [Indexed: 12/03/2022] Open
Abstract
Background: Conflicting and population-dependent findings have been reported from epidemiological studies on the associations of dietary intake of anti-oxidant vitamins with cardiovascular events. We investigated the prospective relationship between dietary intake of anti-oxidant vitamins and incident adverse cardiovascular outcomes amongst Hong Kong Chinese. Methods: In this prospective population-based study, baseline dietary intake of anti-oxidant vitamins (A, C, and E) were assessed using a food frequency questionnaire in 875 Chinese participants from the Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS) in 1995–1996. The adjusted hazard ratio (HR) of incident adverse cardiovascular outcomes, defined as the first recorded diagnosis of cardiovascular deaths, non-fatal myocardial infarction or non-fatal stroke, and coronary or other arterial revascularizations, was calculated per unit intake of each vitamin using multivariable Cox regression. Results: Over a median follow-up of 22 years, 85 participants (9.7%) developed adverse cardiovascular outcomes. Dietary intakes of vitamin A, C, and E were independently and inversely associated with incident adverse cardiovascular outcomes (HR 0.68, 95%CI 0.53–0.88, p = 0.003 for vitamin A; HR 0.66, 95%CI 0.52–0.85, p = 0.001 for vitamin C; and HR 0.57, 95%CI 0.38–0.86, p = 0.017 for vitamin E) after adjustments for conventional cardiovascular risk factors at baseline. Conclusions: Dietary intakes of anti-oxidant vitamins A, C, and E reduced the risk of adverse cardiovascular outcomes in Hong Kong Chinese.
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Affiliation(s)
- Chi-Ho Lee
- Department of Medicine, University of Hong Kong, Hong Kong, China.
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong, China.
| | - Ruth S M Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
| | - Helen Y L Wan
- Department of Medicine, University of Hong Kong, Hong Kong, China.
| | - Yu-Cho Woo
- Department of Medicine, University of Hong Kong, Hong Kong, China.
| | - Chloe Y Y Cheung
- Department of Medicine, University of Hong Kong, Hong Kong, China.
| | - Carol H Y Fong
- Department of Medicine, University of Hong Kong, Hong Kong, China.
| | - Bernard M Y Cheung
- Department of Medicine, University of Hong Kong, Hong Kong, China.
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong, China.
| | - Tai-Hing Lam
- The School of Public Health, University of Hong Kong, Hong Kong, China.
| | - Edward Janus
- Department of Medicine-Western Health, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria 3021, Australia.
- General Medical Unit, Western Health, St Albans, Victoria 3021, Australia.
| | - Jean Woo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
| | - Karen S L Lam
- Department of Medicine, University of Hong Kong, Hong Kong, China.
- Research Center of Heart, Brain, Hormone and Healthy Aging, University of Hong Kong, Hong Kong, China.
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15
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Lee CH, Cheung CYY, Woo YC, Lui DTW, Yuen MMA, Fong CHY, Chow WS, Xu A, Lam KSL. Circulating Adipocyte Fatty Acid–Binding Protein Concentrations Predict Multiple Mortality Outcomes among Men and Women with Diabetes. Clin Chem 2018; 64:1496-1504. [DOI: 10.1373/clinchem.2018.289157] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 06/15/2018] [Indexed: 01/07/2023]
Abstract
AbstractINTRODUCTIONRaised circulating adipocyte fatty acid–binding protein (AFABP) concentrations are associated with various adverse health conditions. However, their relationship with mortality remains to be defined, especially in view of the sexual dimorphism of circulating AFABP concentrations. Here we investigated prospectively whether serum AFABP concentrations predict multiple mortality outcomes in men and women alike, using a large clinic-based cohort of individuals with type 2 diabetes, a condition with raised AFABP concentrations.METHODSBaseline serum AFABP concentrations were measured in 5305 research participants with a monoclonal antibody-based sandwich immunoassay. The role of circulating AFABP concentrations in predicting mortality outcomes was evaluated by multivariable Cox regression analysis.RESULTSAmong the 5305 participants (59% men) in this study, over a median follow-up of 5 years, there were 512 deaths (19.3 deaths per 1000 person-years). Circulating AFABP concentrations, with higher levels in women at baseline, predicted all-cause mortality (P < 0.001), cardiovascular mortality (P = 0.037), and infection-related deaths (P < 0.002) among all participants. In sex-specific analyses, circulating AFABP concentration was an independent predictor of all-cause mortality in both men and women and a predictor of cancer-related deaths and infection-related deaths in men only. Furthermore, the addition of serum AFABP concentrations improved the time-dependent c statistics in predicting all-cause mortality in participants with type 2 diabetes (P = 0.008).CONCLUSIONSCirculating AFABP concentration was an independent predictor of various mortality outcomes in type 2 diabetes over and above known risk factors of reduced survival in men and women. The role of AFABP as a prognostic biomarker and therapeutic target warrants further investigation.
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Affiliation(s)
- Chi Ho Lee
- Department of Medicine
- Research Center of Heart, Brain, Hormone, and Healthy Aging and
| | | | | | | | | | | | | | - Aimin Xu
- Department of Medicine
- Research Center of Heart, Brain, Hormone, and Healthy Aging and
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR, China
| | - Karen S L Lam
- Department of Medicine
- Research Center of Heart, Brain, Hormone, and Healthy Aging and
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong SAR, China
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16
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Cheung CYY, Tang CS, Xu A, Lee CH, Au KW, Xu L, Fong CHY, Kwok KHM, Chow WS, Woo YC, Yuen MMA, Cherny SS, Hai J, Cheung BMY, Tan KCB, Lam TH, Tse HF, Sham PC, Lam KSL. An Exome-Chip Association Analysis in Chinese Subjects Reveals a Functional Missense Variant of GCKR That Regulates FGF21 Levels. Diabetes 2017; 66:1723-1728. [PMID: 28385800 DOI: 10.2337/db16-1384] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 03/10/2017] [Indexed: 11/13/2022]
Abstract
Fibroblast growth factor 21 (FGF21) is increasingly recognized as an important metabolic regulator of glucose homeostasis. Here, we conducted an exome-chip association analysis by genotyping 5,169 Chinese individuals from a community-based cohort and two clinic-based cohorts. A custom Asian exome-chip was used to detect genetic determinants influencing circulating FGF21 levels. Single-variant association analysis interrogating 70,444 single nucleotide polymorphisms identified a novel locus, GCKR, significantly associated with circulating FGF21 levels at genome-wide significance. In the combined analysis, the common missense variant of GCKR, rs1260326 (p.Pro446Leu), showed an association with FGF21 levels after adjustment for age and sex (P = 1.61 × 10-12; β [SE] = 0.14 [0.02]), which remained significant on further adjustment for BMI (P = 3.01 × 10-14; β [SE] = 0.15 [0.02]). GCKR Leu446 may influence FGF21 expression via its ability to increase glucokinase (GCK) activity. This can lead to enhanced FGF21 expression via elevated fatty acid synthesis, consequent to the inhibition of carnitine/palmitoyl-transferase by malonyl-CoA, and via increased glucose-6-phosphate-mediated activation of the carbohydrate response element binding protein, known to regulate FGF21 gene expression. Our findings shed new light on the genetic regulation of FGF21 levels. Further investigations to dissect the relationship between GCKR and FGF21, with respect to the risk of metabolic diseases, are warranted.
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Affiliation(s)
- Chloe Y Y Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Clara S Tang
- Department of Surgery, The University of Hong Kong, Hong Kong, China
| | - Aimin Xu
- Department of Medicine, The University of Hong Kong, Hong Kong, China
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
- Research Centre of Heart, Brain, Hormone & Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ka-Wing Au
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Lin Xu
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Carol H Y Fong
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kelvin H M Kwok
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Wing-Sun Chow
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yu-Cho Woo
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Michele M A Yuen
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Stacey S Cherny
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - JoJo Hai
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | | | - Kathryn C B Tan
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Tai-Hing Lam
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Hung-Fat Tse
- Department of Medicine, The University of Hong Kong, Hong Kong, China
- Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Pak-Chung Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
- Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Karen S L Lam
- Department of Medicine, The University of Hong Kong, Hong Kong, China
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
- Research Centre of Heart, Brain, Hormone & Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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17
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Cheung CYY, Tang CS, Xu A, Lee CH, Au KW, Xu L, Fong CHY, Kwok KHM, Chow WS, Woo YC, Yuen MMA, Hai JSH, Jin YL, Cheung BMY, Tan KCB, Cherny SS, Zhu F, Zhu T, Thomas GN, Cheng KK, Jiang CQ, Lam TH, Tse HF, Sham PC, Lam KSL. Exome-chip association analysis reveals an Asian-specific missense variant in PAX4 associated with type 2 diabetes in Chinese individuals. Diabetologia 2017; 60:107-115. [PMID: 27744525 DOI: 10.1007/s00125-016-4132-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Accepted: 09/21/2016] [Indexed: 12/18/2022]
Abstract
AIMS/HYPOTHESIS Genome-wide association studies (GWASs) have identified many common type 2 diabetes-associated variants, mostly at the intronic or intergenic regions. Recent advancements of exome-array genotyping platforms have opened up a novel means for detecting the associations of low-frequency or rare coding variants with type 2 diabetes. We conducted an exomechip association analysis to identify additional type 2 diabetes susceptibility variants in the Chinese population. METHODS An exome-chip association study was conducted by genotyping 5640 Chinese individuals from Hong Kong, using a custom designed exome array, the Asian Exomechip. Single variant association analysis was conducted on 77,468 single nucleotide polymorphisms (SNPs). Fifteen SNPs were subsequently genotyped for replication analysis in an independent Chinese cohort comprising 12,362 individuals from Guangzhou. A combined analysis involving 7189 cases and 10,813 controls was performed. RESULTS In the discovery stage, an Asian-specific coding variant rs2233580 (p.Arg192His) in PAX4, and two variants at the known loci, CDKN2B-AS1 and KCNQ1, were significantly associated with type 2 diabetes with exome-wide significance (p discovery < 6.45 × 10-7). The risk allele (T) of PAX4 rs2233580 was associated with a younger age at diabetes diagnosis. This variant was replicated in an independent cohort and demonstrated a stronger association that reached genome-wide significance (p meta-analysis [p meta] = 3.74 × 10-15) in the combined analysis. CONCLUSIONS/INTERPRETATION We identified the association of a PAX4 Asian-specific missense variant rs2233580 with type 2 diabetes in an exome-chip association analysis, supporting the involvement of PAX4 in the pathogenesis of type 2 diabetes. Our findings suggest PAX4 is a possible effector gene of the 7q32 locus, previously identified from GWAS in Asians.
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Affiliation(s)
- Chloe Y Y Cheung
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Clara S Tang
- Department of Surgery, University of Hong Kong, Hong Kong, People's Republic of China
| | - Aimin Xu
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong, People's Republic of China
- Research Centre of Heart, Brain, Hormone and Healthy Ageing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, People's Republic of China
- Department of Pharmacology & Pharmacy, University of Hong Kong, Hong Kong, People's Republic of China
| | - Chi-Ho Lee
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Ka-Wing Au
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Lin Xu
- School of Public Health, Room 505, Faculty of Medicine Building, William M.W. Mong Block, University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, People's Republic of China
| | - Carol H Y Fong
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Kelvin H M Kwok
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Wing-Sun Chow
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Yu-Cho Woo
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Michele M A Yuen
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - JoJo S H Hai
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Ya-Li Jin
- Molecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China
| | - Bernard M Y Cheung
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Kathryn C B Tan
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China
| | - Stacey S Cherny
- Department of Psychiatry, University of Hong Kong, Hong Kong, People's Republic of China
| | - Feng Zhu
- Molecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China
| | - Tong Zhu
- Molecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China
| | - G Neil Thomas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kar-Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Chao-Qiang Jiang
- Molecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China
| | - Tai-Hing Lam
- School of Public Health, Room 505, Faculty of Medicine Building, William M.W. Mong Block, University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, People's Republic of China.
- Molecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China.
| | - Hung-Fat Tse
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
- Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine, University of Hong Kong, Hong Kong, People's Republic of China.
| | - Pak-Chung Sham
- Department of Psychiatry, University of Hong Kong, Hong Kong, People's Republic of China.
- Centre for Genomic Sciences, Centre for Genomic Sciences, University of Hong Kong, 6/F, HKJC Building for Interdisciplinary Research, 5 Sassoon Road, Pokfulam, Hong Kong, People's Republic of China.
- State Key Laboratory in Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, People's Republic of China.
| | - Karen S L Lam
- Department of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
- State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong, People's Republic of China.
- Research Centre of Heart, Brain, Hormone and Healthy Ageing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, People's Republic of China.
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18
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Cheung CYY, Hui EYL, Lee CH, Kwok KHM, Gangwani RA, Li KKW, Chan JCW, Woo YC, Chow WS, Yuen MMA, Wong RLC, Fong CHY, Xu A, Wong DSH, Sham PC, Lam KSL. Impact of Genetic Loci Identified in Genome-Wide Association Studies on Diabetic Retinopathy in Chinese Patients With Type 2 Diabetes. ACTA ACUST UNITED AC 2016; 57:5518-5524. [DOI: 10.1167/iovs.16-20094] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
| | | | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong
| | | | - Rita A. Gangwani
- Department of Ophthalmology, The University of Hong Kong, Hong Kong
| | - Kenneth K. W. Li
- Department of Ophthalmology, United Christian Hospital, Hong Kong
| | | | - Yu-Cho Woo
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Wing-Sun Chow
- Department of Medicine, The University of Hong Kong, Hong Kong
| | | | | | | | - Aimin Xu
- Department of Medicine, The University of Hong Kong, Hong Kong 4Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong 5State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong
| | - David S. H. Wong
- Department of Ophthalmology, The University of Hong Kong, Hong Kong
| | - Pak-Chung Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong 7Center for Genomic Sciences, The University of Hong Kong, Hong Kong
| | - Karen S. L. Lam
- Department of Medicine, The University of Hong Kong, Hong Kong 4Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong 5State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong
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19
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Tang CS, Zhang H, Cheung CYY, Xu M, Ho JCY, Zhou W, Cherny SS, Zhang Y, Holmen O, Au KW, Yu H, Xu L, Jia J, Porsch RM, Sun L, Xu W, Zheng H, Wong LY, Mu Y, Dou J, Fong CHY, Wang S, Hong X, Dong L, Liao Y, Wang J, Lam LSM, Su X, Yan H, Yang ML, Chen J, Siu CW, Xie G, Woo YC, Wu Y, Tan KCB, Hveem K, Cheung BMY, Zöllner S, Xu A, Eugene Chen Y, Jiang CQ, Zhang Y, Lam TH, Ganesh SK, Huo Y, Sham PC, Lam KSL, Willer CJ, Tse HF, Gao W. Exome-wide association analysis reveals novel coding sequence variants associated with lipid traits in Chinese. Nat Commun 2015; 6:10206. [PMID: 26690388 PMCID: PMC4703860 DOI: 10.1038/ncomms10206] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 11/13/2015] [Indexed: 12/19/2022] Open
Abstract
Blood lipids are important risk factors for coronary artery disease (CAD). Here we perform an exome-wide association study by genotyping 12,685 Chinese, using a custom Illumina HumanExome BeadChip, to identify additional loci influencing lipid levels. Single-variant association analysis on 65,671 single nucleotide polymorphisms reveals 19 loci associated with lipids at exome-wide significance (P<2.69 × 10−7), including three Asian-specific coding variants in known genes (CETP p.Asp459Gly, PCSK9 p.Arg93Cys and LDLR p.Arg257Trp). Furthermore, missense variants at two novel loci—PNPLA3 p.Ile148Met and PKD1L3 p.Thr429Ser—also influence levels of triglycerides and low-density lipoprotein cholesterol, respectively. Another novel gene, TEAD2, is found to be associated with high-density lipoprotein cholesterol through gene-based association analysis. Most of these newly identified coding variants show suggestive association (P<0.05) with CAD. These findings demonstrate that exome-wide genotyping on samples of non-European ancestry can identify additional population-specific possible causal variants, shedding light on novel lipid biology and CAD. An important risk factor for coronary artery disease is the level of blood lipids. Here the authors conduct an exome-wide association study in Chinese cohorts and identify three novel loci associated with lipid levels as well as three Asian-specific variants in known loci.
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Affiliation(s)
- Clara S Tang
- Department of Psychiatry, the University of Hong Kong, Hong Kong, China
| | - He Zhang
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Chloe Y Y Cheung
- Department of Medicine, the University of Hong Kong, Hong Kong, China
| | - Ming Xu
- Department of Cardiology, Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Jenny C Y Ho
- Department of Medicine, the University of Hong Kong, Hong Kong, China
| | - Wei Zhou
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Stacey S Cherny
- Department of Psychiatry, the University of Hong Kong, Hong Kong, China.,Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing 100034, China
| | - Oddgeir Holmen
- Department of Public Health and General Practice, HUNT Research Centre, Norwegian University of Science and Technology, 7600 Levanger, Norway.,St Olav Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Ka-Wing Au
- Department of Medicine, the University of Hong Kong, Hong Kong, China
| | - Haiyi Yu
- Department of Cardiology, Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Lin Xu
- School of Public Health, the University of Hong Kong, Hong Kong, China
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, Beijing 100034, China
| | - Robert M Porsch
- Department of Psychiatry, the University of Hong Kong, Hong Kong, China
| | - Lijie Sun
- Department of Cardiology, Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Weixian Xu
- Department of Cardiology, Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Huiping Zheng
- Department of Cardiology, Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Lai-Yung Wong
- Department of Medicine, the University of Hong Kong, Hong Kong, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Jingtao Dou
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Carol H Y Fong
- Department of Medicine, the University of Hong Kong, Hong Kong, China
| | - Shuyu Wang
- Beijing Hypertension League Institute, Beijing 100039, China
| | - Xueyu Hong
- Department of Medicine, the University of Hong Kong, Hong Kong, China
| | - Liguang Dong
- Peking University Shougang Hospital, Beijing, China
| | - Yanhua Liao
- Peking University Shougang Hospital, Beijing, China
| | | | - Levina S M Lam
- Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Xi Su
- Department of Cardiology, Wuhan Asia Heart Hospital, China
| | - Hua Yan
- Department of Cardiology, Wuhan Asia Heart Hospital, China
| | - Min-Lee Yang
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jin Chen
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Chung-Wah Siu
- Department of Medicine, the University of Hong Kong, Hong Kong, China.,Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Gaoqiang Xie
- Peking University Clinical Research Institute, Beijing, China
| | - Yu-Cho Woo
- Department of Medicine, the University of Hong Kong, Hong Kong, China
| | - Yangfeng Wu
- Peking University Clinical Research Institute, Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China
| | - Kathryn C B Tan
- Department of Medicine, the University of Hong Kong, Hong Kong, China.,Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kristian Hveem
- Department of Public Health and General Practice, HUNT Research Centre, Norwegian University of Science and Technology, 7600 Levanger, Norway
| | - Bernard M Y Cheung
- Department of Medicine, the University of Hong Kong, Hong Kong, China.,Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Sebastian Zöllner
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan 48109, USA
| | - Aimin Xu
- Department of Medicine, the University of Hong Kong, Hong Kong, China.,Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China.,Department of Pharmacology &Pharmacy, The University of Hong Kong, Hong Kong, China
| | - Y Eugene Chen
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - Youyi Zhang
- Institute of Vascular Medicine, Peking University Third Hospital, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| | - Tai-Hing Lam
- School of Public Health, the University of Hong Kong, Hong Kong, China
| | - Santhi K Ganesh
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing 100034, China
| | - Pak C Sham
- Department of Psychiatry, the University of Hong Kong, Hong Kong, China.,Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Karen S L Lam
- Department of Medicine, the University of Hong Kong, Hong Kong, China.,Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Hung-Fat Tse
- Department of Medicine, the University of Hong Kong, Hong Kong, China.,Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine, the University of Hong Kong, Hong Kong, China
| | - Wei Gao
- Department of Cardiology, Peking University Third Hospital, Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health, Beijing 100191, China
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Lee CH, Cheung CYY, Chow WS, Woo YC, Yeung CY, Lang BHH, Fong CHY, Kwok KHM, Chen SPL, Mak CM, Tan KCB, Lam KSL. Genetics of Apparently Sporadic Pheochromocytoma and Paraganglioma in a Chinese Population. Horm Metab Res 2015; 47:833-8. [PMID: 26267327 DOI: 10.1055/s-0035-1555955] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Identification of germline mutation in patients with apparently sporadic pheochromocytomas and paragangliomas is crucial. Clinical indicators, which include young age, bilateral or multifocal, extra-adrenal, malignant, or recurrent tumors, predict the likelihood of harboring germline mutation in Caucasian subjects. However, data on the prevalence of germline mutation, as well as the applicability of these clinical indicators in Chinese, are lacking. We conducted a cross-sectional study at a single endocrine tertiary referral center in Hong Kong. Subjects with pheochromocytomas and paragangliomas were evaluated for the presence of germline mutations involving 10 susceptibility genes, which included NF1, RET, VHL, SDHA, SDHB, SDHC, SDHD, TMEM 127, MAX, and FH genes. Clinical indicators were assessed for their association with the presence of germline mutations. Germline mutations, 2 being novel, were found in 24.4% of the 41 Chinese subjects recruited and 11.4% among those with apparently sporadic presentation. The increasing number of the afore-mentioned clinical indicators significantly correlated with the likelihood of harboring germline mutation in one of the 10 susceptibility genes. (r=0.757, p=0.026). The presence of 2 or more clinical indicators should prompt genetic testing for germline mutations in Chinese subjects. In conclusion, our study confirmed that a significant proportion of Chinese subjects with apparently sporadic pheochromocytoma and paraganglioma harbored germline mutations and these clinical indicators identified from Caucasians series were also applicable in Chinese subjects. This information will be of clinical relevance in the design of appropriate genetic screening strategies in Chinese populations.
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Affiliation(s)
- C H Lee
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - C Y Y Cheung
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - W S Chow
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - Y C Woo
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - C Y Yeung
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - B H H Lang
- Department of Surgery, Queen Mary Hospital, Hong Kong SAR, China
| | - C H Y Fong
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - K H M Kwok
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - S P L Chen
- Kowloon West Cluster Laboratory Genetic Service, Department of Pathology, Princess Margaret Hospital, Hong Kong SAR, China
| | - C M Mak
- Kowloon West Cluster Laboratory Genetic Service, Department of Pathology, Princess Margaret Hospital, Hong Kong SAR, China
| | - K C B Tan
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - K S L Lam
- Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
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21
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Cheung CYY, Hui EYL, Cheung BMY, Woo YC, Xu A, Fong CHY, Ong KL, Yeung CY, Janus ED, Tse HF, Sham PC, Lam KSL. Adiponectin gene variants and the risk of coronary heart disease: a 16-year longitudinal study. Eur J Endocrinol 2014; 171:107-15. [PMID: 24760538 DOI: 10.1530/eje-14-0079] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Circulating adiponectin levels have been shown to be associated with a risk of coronary heart disease (CHD). However, its primary role in protecting against the development of CHD remains controversial due to conflicting observations in prospective studies. To gain further insight into the primary role of adiponectin, our major objective was to investigate the relationship between single nucleotide polymorphisms (SNPs) of the adiponectin gene (ADIPOQ) and incident CHD in a population-based cohort with no CHD at baseline. DESIGN AND METHODS We conducted a 16-year longitudinal study in 2196 subjects from the Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS). During 33 862 person-years of follow-up, 184 subjects developed CHD (cumulative incidence rate=5.4 per 1000 person-years). Nine ADIPOQ SNPs with potential functional relevance or shown to be associated with adiponectin levels and/or CHD were genotyped. RESULTS Among the nine ADIPOQ SNPs, +276G>T (rs1501299) was independently associated with incident CHD in men but not in women, even after adjustments for traditional cardiovascular risk factors (Padjusted=5.5×10(-3) to 0.023; hazard ratio=1.39-1.54). Furthermore, there was a significant association of the T allele of +276G>T with a lower adiponectin level (P=0.027; β (95% CI)=-0.05 (-0.10, -0.01). CONCLUSIONS This study demonstrated that +276G>T may be an independent predictor of CHD development. Our findings suggest that low adiponectin levels, as may be influenced by +276G>T, confer a higher risk of CHD, in keeping with a role of hypoadiponectinaemia in the development of CHD in the general population.
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Affiliation(s)
- Chloe Y Y Cheung
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Elaine Y L Hui
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, AustraliaDepartment of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Bernard M Y Cheung
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Y C Woo
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Aimin Xu
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, AustraliaDepartment of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Carol H Y Fong
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - K L Ong
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, AustraliaDepartment of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - C Y Yeung
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Edward D Janus
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Hung-Fat Tse
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, AustraliaDepartment of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Pak C Sham
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, AustraliaDepartment of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Karen S L Lam
- Department of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, AustraliaDepartment of MedicineDepartment of PsychiatryResearch Centre of HeartBrain, Hormone and Healthy AgingLi Ka Shing Faculty of MedicineCentre for Genomic Sciences, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, Hong KongCentre for Vascular ResearchUniversity of New South Wales, Sydney, New South Wales 2052, AustraliaDepartment of MedicineNorthwest Academic Centre, Western Hospital, The University of Melbourne, Melbourne, Victoria, Australia
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Cheung CYY, Tso AWK, Cheung BMY, Xu A, Fong CHY, Ong KL, Law LSC, Wat NMS, Janus ED, Sham PC, Lam KSL. The KCNJ11 E23K polymorphism and progression of glycaemia in Southern Chinese: a long-term prospective study. PLoS One 2011; 6:e28598. [PMID: 22163043 PMCID: PMC3230634 DOI: 10.1371/journal.pone.0028598] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2011] [Accepted: 11/11/2011] [Indexed: 01/03/2023] Open
Abstract
Context The KCNJ11 E23K variant is associated with type 2 diabetes mellitus (T2DM) in cross-sectional studies, but conflicting findings have been reported from prospective studies. Objective This study aimed to evaluate whether the E23K variant could predict glycaemic progression in a Southern Chinese population. Methods/Principal Findings We performed a long-term prospective study on 1912 subjects from the Hong Kong Cardiovascular Risk Factors Prevalence Study (CRISPS). The KCNJ11 E23K variant was associated with the progression to prediabetes after a median interval of 12 years on multinomial logistic regression analysis, even after adjustment for traditional risk factors (OR 1.29, Page, sex, BMI and fasting plasma glucose [FPG] adjusted = 0.02). Based on Cox proportional hazard regression analysis, the E23K variant also predicted incident prediabetes (HR 1.18, Page, sex, BMI and FPG adjusted = 0.021). However, E23K was not associated with the progression to T2DM in either multinomial or Cox regression analysis, and the association of E23K with glycaemic progression to either prediabetes or T2DM was significant only in unadjusted Cox regression analysis (P = 0.039). In a meta-analysis of eight prospective studies including our own, involving 15680 subjects, the E23K variant was associated with incident T2DM (fixed effect: OR 1.10, P = 4×10−3; random effect: OR 1.11, P = 0.035). Conclusions Our study has provided supporting evidence for the role of the E23K variant in glycaemic progression in Chinese, with its effect being more evident in the early stage of T2DM, as the subjects progressed from normal glucose tolerance to prediabetes.
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Affiliation(s)
- Chloe Y. Y. Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Annette W. K. Tso
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Bernard M. Y. Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Aimin Xu
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Carol H. Y. Fong
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - K. L. Ong
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Lawrence S. C. Law
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Nelson M. S. Wat
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Edward D. Janus
- Department of Medicine, University of Melbourne, Western Hospital, Footscray, Victoria, Australia
| | - Pak C. Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Genome Research Centre, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- * E-mail: (KSLL); (PCS)
| | - Karen S. L. Lam
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- * E-mail: (KSLL); (PCS)
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23
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Cheung CYY, Tso AWK, Cheung BMY, Xu A, Ong KL, Law LSC, Wat NMS, Janus ED, Sham PC, Lam KSL. Genetic variants associated with persistent central obesity and the metabolic syndrome in a 12-year longitudinal study. Eur J Endocrinol 2011; 164:381-8. [PMID: 21147891 DOI: 10.1530/eje-10-0902] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Central obesity predisposes to various cardiometabolic diseases and is a key component of the metabolic syndrome (MetS). We have previously demonstrated that three obesity-susceptible single nucleotide polymorphisms (SNPs), rs10938397 (GNPDA2), rs8050136 (FTO) and rs17782313 (MC4R), were associated with obesity and waist circumference in cross-sectional studies in the Chinese population. In this study, we investigate whether these SNPs could also predict the persistence of central obesity and MetS in subjects from the Hong Kong Cardiovascular Risk Factors Prevalence Study (CRISPS) cohort. DESIGN AND METHODS We genotyped these SNPs in i) 354 subjects with and 994 subjects without central obesity at both baseline and a 12-year follow-up, ii) 2214 subjects (816 cases and 1398 controls) in an MetS cross-sectional case-control study and iii) 225 subjects with and 1221 subjects without MetS at both baseline and the 12-year follow-up. RESULTS Both FTO rs8050136 (P(age, sex-adjusted)=0.019; odds ratio (OR) (95% confidence intervals (CI)): 1.35 (1.05, 1.73)) and GNPDA2 rs10938397 (P(age, sex-adjusted)=3 × 10(-3); OR (95% CI): 1.34 (1.11, 1.63)) were significantly associated with persistent central obesity. GNPDA2 rs10938397 was also significantly associated with MetS (P(age, sex-adjusted)=0.011, OR (95% CI): 1.20 (1.04, 1.38)) in the case-control study. However, none of these SNPs showed an individual association with persistent MetS. In the combined genetic risk analyses for persistent central obesity and persistent MetS, the combined genetic risk score of the three SNPs showed an OR of 1.25 (95% CI: 1.10, 1.42; P(age, sex-adjusted)=4.92 × 10(-3)) and 1.19 (95% CI: 1.03, 1.38; P(age, sex-adjusted)=0.019) for each additional risk allele respectively. CONCLUSION This study demonstrated that FTO and GNPDA2 variants predicted persistent central obesity in the Chinese population, further supporting their importance as obesity-susceptible genes.
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Affiliation(s)
- Chloe Y Y Cheung
- Department of Medicine, LKS Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, 102 Pokfulam Road, Hong Kong, SAR, China
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Cheung CYY, Tso AWK, Cheung BMY, Xu A, Ong KL, Fong CHY, Wat NMS, Janus ED, Sham PC, Lam KSL. Obesity susceptibility genetic variants identified from recent genome-wide association studies: implications in a chinese population. J Clin Endocrinol Metab 2010; 95:1395-403. [PMID: 20061430 DOI: 10.1210/jc.2009-1465] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT Recent large-scale genome-wide association studies identified novel genetic variants associated with obesity and body mass index (BMI) in addition to the well-described FTO and MC4R genetic variants. OBJECTIVE This study aimed to examine 13 previously reported obesity and/or BMI-associated loci for associations with obesity in Chinese. DESIGN AND STUDY PARTICIPANTS This was a cross-sectional case-control study in 470 obese cases (BMI > or =27.5 kg/m(2)) and 700 normal-weight controls (18.5 < or = BMI < or = 23.0 kg/m(2)). RESULTS A significant association with obesity could be replicated (one tailed P < 0.05) in seven of the 13 single-nucleotide polymorphisms (SNPs) in the case-control study. These included GNPDA2 rs10938397 (P = 7.3 x 10(-4)); FTO rs8050136 (P = 8 x 10(-4)); MC4R rs17782313 (P = 1.2 x 10(-3)); KCTD15 rs29941 (P = 8 x 10(-3)); SFRS10-ETV5-DGKG rs7647305 (P = 0.023); SEC16B-RASAL2 rs10913469 (P = 0.041); and NEGR1 rs3101336 (P = 0.046). Combined genetic risk scores were calculated, and we observed ORs ranging from 1.17 to 1.23 for each unit increase in the genetic risk scores. Associations with obesity-related quantitative traits were analyzed separately for cases and controls. KCTD15 SNP rs29941 (P = 1 x 10(-3)) was significantly associated with fasting glucose in the control group, whereas only the FTO SNP rs8050136 was associated with BMI (P = 3.5 x 10(-3)) in the obese group. However, in an extension study of 1938 subjects from the population-based Hong Kong Cardiovascular Risk Factors Prevalence Study, rs8050136, rs10938397, and rs17782313 showed significant associations with BMI. CONCLUSION We have succeeded in replicating, in a Chinese population, the associations with obesity in seven SNPs reported in recent genome-wide association studies. Further functional and fine-mapping studies to elucidate the roles of these putative obesity-related genes and genetic variants are warranted.
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Affiliation(s)
- Chloe Y Y Cheung
- Department of Medicine, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong
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