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Liu L, You L, Tan L, Wang DW, Cui W. Genetic insight into the role of MRAS in coronary artery disease risk. Gene 2015; 564:63-6. [PMID: 25800439 DOI: 10.1016/j.gene.2015.03.041] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Revised: 02/10/2015] [Accepted: 03/18/2015] [Indexed: 11/19/2022]
Abstract
The muscle Ras (MRAS) gene polymorphisms have been reported to be associated with coronary artery disease (CAD) in white Europeans. The aim of this study was to ascertain the role of MRAS gene polymorphisms in conferring susceptibility to CAD, and to explore the effect on severity of CAD in Chinese population. We genotyped 5009 Chinese individuals (2466 CAD cases and 2543 controls) for eight single nucleotide polymorphisms (SNPs) around MRAS and used logistic regression analysis to determine whether they were associated with CAD. The association of the SNP loci on the severity of CAD was analyzed using a logistic and linear regression analysis, respectively. Our results revealed that an intron SNP, rs1199337, tends to be marginally associated with CAD as previously reported in Caucasians (nominal P=0.01, OR 1.10, 95% CI 1.01-1.20). However, this association did not retain statistically significant levels after applying Bonferroni's correction for multiple testing (corrected P=0.08). There was no significant association between other loci and CAD (nominal P>0.05). We did not observe any significant association between the SNPs and severity of CAD (all P values>0.05). From the above results, the MRAS gene loci might have a minor effect in conferring susceptibility to CAD in Chinese population.
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Affiliation(s)
- Lei Liu
- Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Ling You
- Division of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China
| | - Lun Tan
- Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Dao Wen Wang
- Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
| | - Wei Cui
- Division of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
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202
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Winham SJ, de Andrade M, Miller VM. Genetics of cardiovascular disease: Importance of sex and ethnicity. Atherosclerosis 2015; 241:219-28. [PMID: 25817330 DOI: 10.1016/j.atherosclerosis.2015.03.021] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 03/03/2015] [Accepted: 03/08/2015] [Indexed: 12/11/2022]
Abstract
Sex differences in incidence and prevalence of and morbidity and mortality from cardiovascular disease are well documented. However, many studies examining the genetic basis for cardiovascular disease fail to consider sex as a variable in the study design, in part, because there is an inherent difficulty in studying the contribution of the sex chromosomes in women due to X chromosome inactivation. This paper will provide general background on the X and Y chromosomes (including gene content, the pseudoautosomal regions, and X chromosome inactivation), discuss how sex chromosomes have been ignored in Genome-wide Association Studies (GWAS) of cardiovascular diseases, and discuss genetics influencing development of cardiovascular risk factors and atherosclerosis with particular attention to carotid intima-medial thickness, and coronary arterial calcification based on sex-specific studies. In addition, a brief discussion of how ethnicity and hormonal status act as confounding variables in sex-based analysis will be considered along with methods for statistical analysis to account for sex in cardiovascular disease.
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Affiliation(s)
- Stacey J Winham
- Health Sciences Research, Division of Biostatistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Mariza de Andrade
- Health Sciences Research, Division of Biostatistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Virginia M Miller
- Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA.
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203
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Wobst J, Kessler T, Dang TA, Erdmann J, Schunkert H. Role of sGC-dependent NO signalling and myocardial infarction risk. J Mol Med (Berl) 2015; 93:383-94. [PMID: 25733135 DOI: 10.1007/s00109-015-1265-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Revised: 02/03/2015] [Accepted: 02/06/2015] [Indexed: 12/19/2022]
Abstract
The NO/cGMP pathway plays an important role in many physiological functions and pathophysiological conditions. In the last few years, several genetic and functional studies pointed to an underestimated role of this pathway in the development of atherosclerosis. Indeed, several genetic variants of key enzymes modulating the generation of NO and cGMP have been strongly associated with coronary artery disease and myocardial infarction risk. In this review, we aim to place the genomic findings on components of the NO/cGMP pathway, namely endothelial nitric oxide synthase, soluble guanylyl cyclase and phosphodiesterase 5A, in context of preventive and therapeutic strategies for treating atherosclerosis and its sequelae.
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Affiliation(s)
- Jana Wobst
- Klinik für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Lazarettstr. 36, 80636, Munich, Germany
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204
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Sharina IG, Sobolevsky M, Papakyriakou A, Rukoyatkina N, Spyroulias GA, Gambaryan S, Martin E. The fibrate gemfibrozil is a NO- and haem-independent activator of soluble guanylyl cyclase: in vitro studies. Br J Pharmacol 2015; 172:2316-29. [PMID: 25536881 DOI: 10.1111/bph.13055] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 11/03/2014] [Accepted: 12/11/2014] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND AND PURPOSE Fibrates are a class of drugs widely used to treat dyslipidaemias. They regulate lipid metabolism and act as PPARα agonists. Clinical trials demonstrate that besides changes in lipid profiles, fibrates decrease the incidence of cardiovascular events, with gemfibrozil exhibiting the most pronounced benefit. This study aims to characterize the effect of gemfibrozil on the activity and function of soluble guanylyl cyclase (sGC), the key mediator of NO signalling. EXPERIMENTAL APPROACH High-throughput screening of a drug library identified gemfibrozil as a direct sGC activator. Activation of sGC is unique to gemfibrozil and is not shared by other fibrates. KEY RESULTS Gemfibrozil activated purified sGC, induced endothelium-independent relaxation of aortic rings and inhibited platelet aggregation. Gemfibrozil-dependent activation was absent when the sGC haem domain was deleted, but was significantly enhanced when sGC haem was lacking or oxidized. Oxidation of sGC haem enhanced the vasoactive and anti-platelet effects of gemfibrozil. Gemfibrozil competed with the haem-independent sGC activators ataciguat and cinaciguat. Computational modelling predicted that gemfibrozil occupies the space of the haem group and interacts with residues crucial for haem stabilization. This is consistent with structure-activity data which revealed an absolute requirement for gemfibrozil's carboxyl group. CONCLUSIONS AND IMPLICATIONS These data suggest that in addition to altered lipid and lipoprotein state, the cardiovascular preventive benefits of gemfibrozil may derive from direct activation and protection of sGC function. A sGC-directed action may explain the more pronounced cardiovascular benefit of gemfibrozil observed over other fibrates and some of the described side effects of gemfibrozil.
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Affiliation(s)
- I G Sharina
- Department of Internal Medicine, Division of Cardiology, UT Health Science Center at Houston, Medical School, Houston, TX, USA
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205
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Wobst J, Rumpf PM, Dang TA, Segura-Puimedon M, Erdmann J, Schunkert H. Molecular variants of soluble guanylyl cyclase affecting cardiovascular risk. Circ J 2015; 79:463-9. [PMID: 25746521 DOI: 10.1253/circj.cj-15-0025] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Soluble guanylyl cyclase (sGC) is the physiological receptor for nitric oxide (NO) and NO-releasing drugs, and is a key enzyme in several cardiovascular signaling pathways. Its activation induces the synthesis of the second messenger cGMP. cGMP regulates the activity of various downstream proteins, including cGMP-dependent protein kinase G, cGMP-dependent phosphodiesterases and cyclic nucleotide gated ion channels leading to vascular relaxation, inhibition of platelet aggregation, and modified neurotransmission. Diminished sGC function contributes to a number of disorders, including cardiovascular diseases. Knowledge of its regulation is a prerequisite for understanding the pathophysiology of deficient sGC signaling. In this review we consolidate the available information on sGC signaling, including the molecular biology and genetics of sGC transcription, translation and function, including the effect of rare variants, and present possible new targets for the development of personalized medicine in vascular diseases.
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Affiliation(s)
- Jana Wobst
- Department of Cardiovascular Diseases, German Heart Center Munich, Technical University Munich
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206
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Takeuchi F, Isono M, Yamamoto K, Yokota M, Akiyama K, Katsuya T, Kim HS, Park JE, Jang Y, Lee JY, Lee JY, Kato N. Heterogeneous Effects of Association Between Blood Pressure Loci and Coronary Artery Disease in East Asian Individuals. Circ J 2015; 79:830-8. [DOI: 10.1253/circj.cj-14-0841] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine
| | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine
| | - Ken Yamamoto
- Department of Molecular Genetics, Medical Institute of Bioregulation, Kyushu University
| | - Mitsuhiro Yokota
- Department of Genome Science, Aichi-Gakuin University, School of Dentistry
| | - Koichi Akiyama
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine
- Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine
| | - Hyo-Soo Kim
- Department of Internal Medicine, Cardiovascular Center, Seoul National University Hospital
| | | | - Yangsoo Jang
- Cardiology Division, Department of Internal Medicine, Cardiovascular Genome Center, Yonsei University College of Medicine,
| | - Ji-Young Lee
- Center for Genome Science, Korea National Institute of Health, KCDC
| | - Jong-Young Lee
- Center for Genome Science, Korea National Institute of Health, KCDC
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine
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207
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Salinas A, Ramos JM, Górgolas M. Cardiovascular disease and global health: Differences among foreign citizens admitted to a Spanish hospital. Int J Cardiol 2015; 179:220-1. [DOI: 10.1016/j.ijcard.2014.11.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Accepted: 11/04/2014] [Indexed: 10/24/2022]
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Abstract
Genome-wide association studies for coronary artery disease utilizing the case control association study approach has identified 50 genetic risk variants associated with coronary artery disease or myocardial infarction. All of these genetic variants are of genome wide significance and replicated in an independent population. It is of note that 35 of these 50 genetic risk variants act through mechanisms as yet unknown. These findings have great implications for the pathogenesis of atherosclerosis, as well as new targets for the development of novel therapies for the prevention and treatment of CAD. The genetic variant PCSK9 has already led to the development of a monoclonal anti-body which is undergoing assessment in phases I, II, and III clinical trials. This therapy shows very promising results and since it increases removal of LDL-C, it is complementary to current statin therapy. Assessing the beneficial or deleterious effects of a lifelong exposure to a genetic risk variant (Mendelian randomization) will be an important adjunct to clinical trials.
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209
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Sasidhar MV, Reddy S, Naik A, Naik S. Genetics of coronary artery disease - a clinician's perspective. Indian Heart J 2014; 66:663-71. [PMID: 25634402 DOI: 10.1016/j.ihj.2014.12.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 11/21/2014] [Indexed: 02/02/2023] Open
Abstract
Coronary artery disease (CAD) is the major cause of fatality and disability among all cardiovascular diseases (CVD). Intricate interactions of genes and environment dictate the outcomes of CAD. Technological advances in the different fields of genetics including linkage studies (LS), candidate gene studies (CGS) and genome-wide association studies (GWA studies) have augmented the knowledge of pathogenesis of CAD. LS were more successful in identifying genetic variants among monogenic disease. GWA studies were relatively popular in identification of variation in polygenic disease. Until now, GWA studies recognized about 50 loci determining around 6% of the heritability in CAD. Clinical utility of the above knowledge would result in better CAD management, but validation of the variants in native population is warranted for active adoption into the clinic. The major aim of this review is to provide an adequate perspective of our current understanding and advances of genetics in CAD.
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Affiliation(s)
- Manda V Sasidhar
- Senior Scientist, Apollo Hospitals Educational and Research Foundation (AHERF), Hyderabad, India
| | - Satyajit Reddy
- MD Candidate, Alpert Medical School of Brown University, Providence, USA
| | - Ashutosh Naik
- Honorary Assistant Professor, Srinidhi Institute of Science, and Technology, Hyderabad, India
| | - Sudhir Naik
- Senior Consultant, Cardiology Department, Apollo Hospitals, Hyderabad, India; Adjunct Professor, AHERF, Hyderabad, India.
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210
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Xu C, Yang Q, Xiong H, Wang L, Cai J, Wang F, Li S, Chen J, Wang C, Wang D, Xiong X, Wang P, Zhao Y, Wang X, Huang Y, Chen S, Yin D, Li X, Liu Y, Liu J, Wang J, Li H, Ke T, Ren X, Wu Y, Wu G, Wan J, Zhang R, Wu T, Wang J, Xia Y, Yang Y, Cheng X, Liao Y, Chen Q, Zhou Y, He Q, Tu X, Wang QK. Candidate pathway-based genome-wide association studies identify novel associations of genomic variants in the complement system associated with coronary artery disease. CIRCULATION. CARDIOVASCULAR GENETICS 2014; 7:887-894. [PMID: 25249547 PMCID: PMC4270888 DOI: 10.1161/circgenetics.114.000738] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Genomic variants identified by genome-wide association studies (GWAS) explain <20% of heritability of coronary artery disease (CAD), thus many risk variants remain missing for CAD. Identification of new variants may unravel new biological pathways and genetic mechanisms for CAD. To identify new variants associated with CAD, we developed a candidate pathway-based GWAS by integrating expression quantitative loci analysis and mining of GWAS data with variants in a candidate pathway. METHODS AND RESULTS Mining of GWAS data was performed to analyze variants in 32 complement system genes for positive association with CAD. Functional variants in genes showing positive association were then identified by searching existing expression quantitative loci databases and validated by real-time reverse transcription polymerase chain reaction. A follow-up case-control design was then used to determine whether the functional variants are associated with CAD in 2 independent GeneID Chinese populations. Candidate pathway-based GWAS identified positive association between variants in C3AR1 and C6 and CAD. Two functional variants, rs7842 in C3AR1 and rs4400166 in C6, were found to be associated with expression levels of C3AR1 and C6, respectively. Significant association was identified between rs7842 and CAD (P=3.99×10(-6); odds ratio, 1.47) and between rs4400166 and CAD (P=9.30×10(-3); odds ratio, 1.24) in the validation cohort. The significant findings were confirmed in the replication cohort (P=1.53×10(-5); odds ratio, 1.37 for rs7842; P=8.41×10(-3); odds ratio, 1.21 for rs4400166). CONCLUSIONS Integration of GWAS with biological pathways and expression quantitative loci is effective in identifying new risk variants for CAD. Functional variants increasing C3AR1 and C6 expression were shown to confer significant risk of CAD for the first time.
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Affiliation(s)
- Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Qin Yang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Hongbo Xiong
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Longfei Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Jianping Cai
- Beijing Hospital of the Ministry of Health, Beijing
| | - Fan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Jing Chen
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Chuchu Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Dan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Xin Xiong
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Pengyun Wang
- Institute of Cardiology, Union Hospital, Tongji Medical College, Wuhan
| | - Yuanyuan Zhao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Xiaojing Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Yufeng Huang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Shanshan Chen
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Dan Yin
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Xiuchun Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Ying Liu
- First Affiliated Hospital of Dalian Medical University, Dalian
| | - Jinqiu Liu
- First Affiliated Hospital of Dalian Medical University, Dalian
| | - Jingjing Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Hui Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Tie Ke
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Xiang Ren
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | | | | | - Jing Wan
- Zhongnan Hospital of Wuhan University, Wuhan, P.R. China
| | - Rongfeng Zhang
- First Affiliated Hospital of Dalian Medical University, Dalian
| | - Tangchun Wu
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Wuhan
| | - Junhan Wang
- University Hospital, Huazhong University of Science and Technology; Wuhan
| | - Yunlong Xia
- First Affiliated Hospital of Dalian Medical University, Dalian
| | - Yanzong Yang
- First Affiliated Hospital of Dalian Medical University, Dalian
| | - Xiang Cheng
- Institute of Cardiology, Union Hospital, Tongji Medical College, Wuhan
| | - Yuhua Liao
- Institute of Cardiology, Union Hospital, Tongji Medical College, Wuhan
| | - Qiuyun Chen
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Yanhong Zhou
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Qing He
- Beijing Hospital of the Ministry of Health, Beijing
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
| | - Qing K. Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Human Genome Research Center, Wuhan
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
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Lee Y, Park S, Moon S, Lee J, Elston RC, Lee W, Won S. On the analysis of a repeated measure design in genome-wide association analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2014; 11:12283-303. [PMID: 25464127 PMCID: PMC4276614 DOI: 10.3390/ijerph111212283] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 11/07/2014] [Accepted: 11/18/2014] [Indexed: 01/11/2023]
Abstract
Longitudinal data enables detecting the effect of aging/time, and as a repeated measures design is statistically more efficient compared to cross-sectional data if the correlations between repeated measurements are not large. In particular, when genotyping cost is more expensive than phenotyping cost, the collection of longitudinal data can be an efficient strategy for genetic association analysis. However, in spite of these advantages, genome-wide association studies (GWAS) with longitudinal data have rarely been analyzed taking this into account. In this report, we calculate the required sample size to achieve 80% power at the genome-wide significance level for both longitudinal and cross-sectional data, and compare their statistical efficiency. Furthermore, we analyzed the GWAS of eight phenotypes with three observations on each individual in the Korean Association Resource (KARE). A linear mixed model allowing for the correlations between observations for each individual was applied to analyze the longitudinal data, and linear regression was used to analyze the first observation on each individual as cross-sectional data. We found 12 novel genome-wide significant disease susceptibility loci that were then confirmed in the Health Examination cohort, as well as some significant interactions between age/sex and SNPs.
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Affiliation(s)
- Young Lee
- The Center for Genome Science, Korea National Institute of Health, KCDC, Osong 361-951, Korea; E-Mails: (Y.L.); (S.P.); (S.M.); (J.L.)
- Department of Applied Statistics, Chung-Ang University, Seoul 156-756, Korea
| | - Suyeon Park
- The Center for Genome Science, Korea National Institute of Health, KCDC, Osong 361-951, Korea; E-Mails: (Y.L.); (S.P.); (S.M.); (J.L.)
- Department of Applied Statistics, Chung-Ang University, Seoul 156-756, Korea
| | - Sanghoon Moon
- The Center for Genome Science, Korea National Institute of Health, KCDC, Osong 361-951, Korea; E-Mails: (Y.L.); (S.P.); (S.M.); (J.L.)
| | - Juyoung Lee
- The Center for Genome Science, Korea National Institute of Health, KCDC, Osong 361-951, Korea; E-Mails: (Y.L.); (S.P.); (S.M.); (J.L.)
| | - Robert C. Elston
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA; E-Mail:
| | - Woojoo Lee
- Department of Statistics, Inha University, Incheon 402-751, Korea
- Authors to whom correspondence should be addressed; E-Mails: (W.L.); (S.W.); Tel.: +82-32-860-7649 (W.L.); +82-2-880-2714 (S.W.)
| | - Sungho Won
- Department of Public Health Science, Seoul National University, Seoul 151-742, Korea
- Authors to whom correspondence should be addressed; E-Mails: (W.L.); (S.W.); Tel.: +82-32-860-7649 (W.L.); +82-2-880-2714 (S.W.)
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Zhang LW, Li JP, Duan FF, Liu ZK, Zhan SY, Hu YH, Jiang J, Zhang Y, Huo Y, Chen DF. Interaction of type 2 diabetes mellitus with chromosome 9p21 rs10757274 polymorphism on the risk of myocardial infarction: a case-control study in Chinese population. BMC Cardiovasc Disord 2014; 14:170. [PMID: 25430018 PMCID: PMC4255939 DOI: 10.1186/1471-2261-14-170] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Accepted: 11/18/2014] [Indexed: 11/10/2022] Open
Abstract
Background Myocardial infarction (MI) is a serious complication of Coronary Artery Disease (CAD). Previous studies have identified genetic variants on chromosome 9p21 and 6p24 that are associated with CAD, but further studies need to be conducted to investigate whether these genetic variants are associated with the pathogenesis of MI. We therefore performed this study to assess the association between the risk of MI and SNP rs10757274 on chromosome 9p21 and SNP rs6903956 on chromosome 6p24, and to explore the gene-environment interactions in a Chinese population. Methods A hospital-based case–control study, consisting of 502 MI patients and 308 controls, was conducted in a Chinese population. Demographic, behavioral information and clinical characteristics were collected, and genotyping of the two SNPs was performed using single base primer extension genotyping technology. The unconditional logistic regression (ULR) method was adopted to assess the association of the two SNPs with MI risk. Both generalized multifactor dimensionality reduction (GMDR) and ULR methods were applied to explore the effect of gene-environment interactions on the risk of MI. Results After adjusting for covariates, it was observed that SNP rs10757274 on chromosome 9p21 was significantly associated with MI. Compared with subjects carrying the AA genotype, subjects carrying the GA or GG genotypes had a higher MI risk (ORa = 1.52, 95% CI:1.06–2.19, pa = 0.0227; ORa = 2.40, 95% CI:1.51–3.81, pa = 0.0002, respectively). Furthermore, a two-factor gene-environment interaction model of CDKN2A/B (rs10757274) and type 2 diabetes mellitus (T2DM) was identified to be the best model by GMDR (p = 0.0107), with a maximum prediction accuracy of 59.18%, and a maximum Cross-validation Consistency of 10/10. By using the ULR method, additive interaction analysis found that the combined effect resulted in T2DM-positive subjects with genotype GG/GA having an MI risk 4.38 times that of T2DM-negative subjects with genotype AA (ORadd = 4.38, 95% CI:2.56–7.47, padd < 0.0001). Conclusions These results show that gene polymorphism of CDKN2A/B (rs10757274) is associated with MI risk in a Chinese population. Furthermore, T2DM is likely to have an interaction with CDKN2A/B (rs10757274) that contributes to the risk of MI. Electronic supplementary material The online version of this article (doi:10.1186/1471-2261-14-170) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Jian-ping Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
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213
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Common variation in PHACTR1 is associated with susceptibility to cervical artery dissection. Nat Genet 2014; 47:78-83. [PMID: 25420145 DOI: 10.1038/ng.3154] [Citation(s) in RCA: 166] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Accepted: 10/31/2014] [Indexed: 01/08/2023]
Abstract
Cervical artery dissection (CeAD), a mural hematoma in a carotid or vertebral artery, is a major cause of ischemic stroke in young adults although relatively uncommon in the general population (incidence of 2.6/100,000 per year). Minor cervical traumas, infection, migraine and hypertension are putative risk factors, and inverse associations with obesity and hypercholesterolemia are described. No confirmed genetic susceptibility factors have been identified using candidate gene approaches. We performed genome-wide association studies (GWAS) in 1,393 CeAD cases and 14,416 controls. The rs9349379[G] allele (PHACTR1) was associated with lower CeAD risk (odds ratio (OR) = 0.75, 95% confidence interval (CI) = 0.69-0.82; P = 4.46 × 10(-10)), with confirmation in independent follow-up samples (659 CeAD cases and 2,648 controls; P = 3.91 × 10(-3); combined P = 1.00 × 10(-11)). The rs9349379[G] allele was previously shown to be associated with lower risk of migraine and increased risk of myocardial infarction. Deciphering the mechanisms underlying this pleiotropy might provide important information on the biological underpinnings of these disabling conditions.
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Abstract
Large-scale genome-wide association studies (GWAS) have identified 46 loci that are associated with coronary heart disease (CHD). Additionally, 104 independent candidate variants (false discovery rate of 5 %) have been identified (Schunkert H, Konig IR, Kathiresan S, Reilly MP, Assimes TL, Holm H et al. Nat Genet 43:333-8, 2011; Deloukas P, Kanoni S, Willenborg C, Farrall M, Assimes TL, Thompson JR et al. Nat Genet 45:25-33, 2012; C4D Genetics Consortium. Nat Genet 43:339-44, 2011). The majority of the causal genes in these loci function independently of conventional risk factors. It is postulated that a number of the CHD-associated genes regulate basic processes in the vascular cells involved in atherosclerosis, and that study of the signaling pathways that are modulated in this cell type by causal regulatory variation will provide critical new insights for targeting the initiation and progression of disease. In this review, we will discuss the types of experimental approaches and data that are critical to understanding the molecular processes that underlie the disease risk at 9p21.3, TCF21, SORT1, and other CHD-associated loci.
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Fontana V, McDonough CW, Gong Y, El Rouby NM, Sá ACC, Taylor KD, Chen YDI, Gums JG, Chapman AB, Turner ST, Pepine CJ, Johnson JA, Cooper-DeHoff RM. Large-scale gene-centric analysis identifies polymorphisms for resistant hypertension. J Am Heart Assoc 2014; 3:e001398. [PMID: 25385345 PMCID: PMC4338734 DOI: 10.1161/jaha.114.001398] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Background Resistant hypertension (RHTN), defined by lack of blood pressure (BP) control despite treatment with at least 3 antihypertensive drugs, increases cardiovascular risk compared with controlled hypertension. Yet, there are few data on genetic variants associated with RHTN. Methods and Results We used a gene‐centric array containing ≈50 000 single‐nucleotide polymorphisms (SNPs) to identify polymorphisms associated with RHTN in hypertensive participants with coronary artery disease (CAD) from INVEST‐GENES (the INnternational VErapamil‐SR Trandolapril STudy—GENEtic Substudy). RHTN was defined as BP≥140/90 on 3 drugs, or any BP on 4 or more drugs. Logistic regression analysis was performed in European Americans (n=904) and Hispanics (n=837), using an additive model adjusted for age, gender, randomized treatment assignment, body mass index, principal components for ancestry, and other significant predictors of RHTN. Replication of the top SNP was conducted in 241 European American women from WISE (Women's Ischemia Syndrome Evaluation), where RHTN was defined similarly. To investigate the functional effect of rs12817819, mRNA expression was measured in whole blood. We found ATP2B1 rs12817819 associated with RHTN in both INVEST European Americans (P‐value=2.44×10−3, odds ratio=1.57 [1.17 to 2.01]) and INVEST Hispanics (P=7.69×10−4, odds ratio=1.76 [1.27 to 2.44]). A consistent trend was observed at rs12817819 in WISE, and the INVEST‐WISE meta‐analysis result reached chip‐wide significance (P=1.60×10−6, odds ratio=1.65 [1.36 to 1.95]). Expression analyses revealed significant differences in ATP2B1 expression by rs12817819 genotype. Conclusions The ATP2B1 rs12817819 A allele is associated with increased risk for RHTN in hypertensive participants with documented CAD or suspected ischemic heart disease. Clinical Trial Registration URL: www.clinicaltrials.gov; Unique identifiers: NCT00133692 (INVEST), NCT00000554 (WISE).
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Affiliation(s)
- Vanessa Fontana
- Department of Pharmacology, Faculty of Medical Sciences, University of Campinas, Campinas, SP, Brazil (V.F.)
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL (C.W.M.D., Y.G., N.M.E.R., A.C.C., J.G.G., J.A.J., R.M.C.D.H.)
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL (C.W.M.D., Y.G., N.M.E.R., A.C.C., J.G.G., J.A.J., R.M.C.D.H.)
| | - Nihal M El Rouby
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL (C.W.M.D., Y.G., N.M.E.R., A.C.C., J.G.G., J.A.J., R.M.C.D.H.)
| | - Ana Caroline C Sá
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL (C.W.M.D., Y.G., N.M.E.R., A.C.C., J.G.G., J.A.J., R.M.C.D.H.)
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute Harbor-UCLA Medical Center, Torrance, CA (K.D.T., I.C.)
| | - Y-D Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute Harbor-UCLA Medical Center, Torrance, CA (K.D.T., I.C.)
| | - John G Gums
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL (C.W.M.D., Y.G., N.M.E.R., A.C.C., J.G.G., J.A.J., R.M.C.D.H.) Department of Community Health and Family Medicine, University of Florida College of Medicine, Gainesville, FL (J.G.G.)
| | - Arlene B Chapman
- The Renal Division, Department of Medicine, Emory University, Atlanta, GA (A.B.C.)
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN (S.T.T.)
| | - Carl J Pepine
- Division of Cardiovascular Medicine, Department of Medicine, University of Florida, Gainesville, FL (C.J.P., J.A.J., R.M.C.D.H.)
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL (C.W.M.D., Y.G., N.M.E.R., A.C.C., J.G.G., J.A.J., R.M.C.D.H.) Division of Cardiovascular Medicine, Department of Medicine, University of Florida, Gainesville, FL (C.J.P., J.A.J., R.M.C.D.H.)
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL (C.W.M.D., Y.G., N.M.E.R., A.C.C., J.G.G., J.A.J., R.M.C.D.H.) Division of Cardiovascular Medicine, Department of Medicine, University of Florida, Gainesville, FL (C.J.P., J.A.J., R.M.C.D.H.)
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Hu Y, Wang L, Chen S, Liu X, Li H, Lu X, Yang X, Huang J, Gu D. Association between the SIRT1 mRNA expression and acute coronary syndrome. J Atheroscler Thromb 2014; 22:165-82. [PMID: 25342474 DOI: 10.5551/jat.24844] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
AIM Silent mating type information regulator 2 homolog 1 (SIRT1) functions as an atheroprotective factor in vascular biology, and genetic variations in SIRT1 are associated with coronary artery calcification and type 2 diabetes in several populations. In this study, we investigated the relationship between the mRNA expression levels of the SIRT1 gene and single nucleotide polymorphisms (SNPs) in the context of acute coronary syndrome (ACS). METHODS Whole-genome expression microarray and real-time PCR techniques were used to detect the gene expression levels, and Western blotting was performed to determine the protein expression level. The four selected SNPs were genotyped in a Taqman genotyping platform. RESULTS Compared with that observed in the controls, the mRNA expression levels of the SIRT1 gene in the microarray study were significantly lower in the acute myocardial infarction (AMI), unstable angina (UA) and overall ACS patients. These results were replicated in another independent cohort with respect to the mRNA (AMI, p<0.001; UA, p<0.001; ACS, p<0.001) and protein (p<0.05) levels. Furthermore, the relationship between the SIRT1 mRNA expression and the genotypes of four possible functional SNPs (rs12778366, rs3758391, rs2273773 and rs4746720) was tested, the results of which showed significant differences in the SIRT1 mRNA expression among the allelic genes of rs3758391 (p<0.01) in the healthy participants. CONCLUSIONS The present results confirm that the SIRT1 gene plays a protective role against ACS and that the rs3758391 SNP affects the mRNA expression in healthy participants, providing new insight into the processes regulating the genetic control of the SIRT1 gene with respect to the pathogenesis of ACS.
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Affiliation(s)
- Yongyan Hu
- State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital & National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; National Human Genome Center at Beijing, Beijing, China
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Gui L, Wu F, Han X, Dai X, Qiu G, Li J, Wang J, Zhang X, Wu T, He M. A multilocus genetic risk score predicts coronary heart disease risk in a Chinese Han population. Atherosclerosis 2014; 237:480-5. [PMID: 25463077 DOI: 10.1016/j.atherosclerosis.2014.09.032] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 09/22/2014] [Accepted: 09/28/2014] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Genome-wide association studies have identified multiple genetic loci associated with coronary heart disease (CHD) risk. However, whether these loci could improve the CHD risk prediction is unclear. METHODS AND RESULTS The present case-control study (1146 CHD cases and 1146 controls) genotyped 19 recently discovered SNPs that associated with CHD risk. As a result, 10 SNPs were successfully replicated with odds ratios (ORs) ranging from 1.16 to 1.78 (P = 4.6 × 10(-2) to 5.99 × 10(-6)). A genetic risk score was constructed to assess the combined effects of the susceptibility loci on CHD risk. Subject in the second tertile (OR = 1.32, 95% CI, 1.02-1.73, P = 3.84 × 10(-2)) and the third tertile (OR = 2.62, 95% CI, 2.00-3.43, P = 3.18 × 10(-12)) had an increased risk of CHD comparing with those in the first genetic risk score tertile after adjustment for traditional risk factors including family history of CHD. Addition of the genetic risk score to the traditional model significantly improved the net reclassification as measured by the net reclassification index (NRI) (4.82%, P = 0.0001), however, no significant improvement was observed in discrimination of CHD, the area under the receiver operating characteristic curve (AUC) increased from 0.811 to 0.822 (P = 0.18). CONCLUSIONS A multilocus genetic risk score was associated with CHD risk in a Chinese Han population. This genetic risk score improved the net reclassification but not improved the CHD discrimination. The potential clinical use of this variations remains to be defined.
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Affiliation(s)
- Lixuan Gui
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Fangqin Wu
- Department of Cardiology, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Xu Han
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Xiayun Dai
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Gaokun Qiu
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Jun Li
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Jing Wang
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Xiaoming Zhang
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Tangchun Wu
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China
| | - Meian He
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, Hubei, China.
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Fu Y, Wang Y, Zhang B. Systems pharmacology for traditional Chinese medicine with application to cardio-cerebrovascular diseases. JOURNAL OF TRADITIONAL CHINESE MEDICAL SCIENCES 2014. [DOI: 10.1016/j.jtcms.2014.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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219
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Affiliation(s)
- Ali J Marian
- From the Institute of Molecular Medicine, Center for Cardiovascular Genetic Research, University of Texas Health Science Center, Houston.
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220
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Gao F, Sun RJ, Ji Y, Yang BF. Cardiovascular research is thriving in China. Br J Pharmacol 2014; 172:5430-4. [PMID: 24962428 DOI: 10.1111/bph.12826] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2014] [Accepted: 06/17/2014] [Indexed: 01/19/2023] Open
Abstract
Cardiovascular disease has become the leading cause of death and constitutes a serious public health issue in China. Faced with the burgeoning epidemic of cardiovascular disease and the huge burden and economic losses it causes, the Chinese government has attached the utmost importance to cardiovascular research, increasing funding to support basic and clinical studies, integrating resources and recruiting outstanding talent from overseas. The continued and growing support from the government has yielded substantial changes in terms of new discoveries, scientific publications and drug research and development within the last decade. In spite of the advances in cardiovascular research, China still faces significant challenges ahead in encouraging innovation, developing the prevention-oriented health policies and strengthening international collaboration.
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Affiliation(s)
- F Gao
- Department of Physiology, The Fourth Military Medical University, Xi'an, China
| | - R J Sun
- Department of Health Sciences, National Natural Science Foundation of China, Beijing, China
| | - Y Ji
- Atherosclerosis Research Center, Nanjing Medical University, Nanjing, China
| | - B F Yang
- Department of Pharmacology, Harbin Medical University, Harbin, China
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221
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Liu X, Hao Y, Wang L, Li H, Lu X, Cao J, Hu Y, Mo X, Peng X, Gu D. Functional analysis of single-nucleotide polymorphisms in the regulation of coactivator-associated arginine methyltransferase 1 expression and plasma homocysteine levels. ACTA ACUST UNITED AC 2014; 7:642-9. [PMID: 25064859 DOI: 10.1161/circgenetics.113.000408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Hyperhomocysteinemia is a risk factor for cardiovascular disease. Coactivator-associated arginine methyltransferase 1 (CARM1) participates in the synthesis of homocysteine, but whether the genetic variations regulate CARM1 expression and homocysteine levels remains unknown. METHODS AND RESULTS Functional analyses combined with an association study were conducted to identify the causal variant for CARM1 expression and homocysteine levels. Based on functional annotations obtained from Encyclopedia of DNA Elements, we selected 4 potentially functional single-nucleotide polymorphisms in the CARM1 gene and investigated their effect on CARM1 transcription levels in vivo. rs117569851, located in the promoter region of CARM1, as well as rs12460421 and rs4804544, was associated with CARM1 expression levels, and the last 2 single-nucleotide polymorphisms were discovered in high linkage disequilibrium with rs117569851 (r(2)=0.9 and 1.0) in our study sample. rs117569851 was further identified to be responsible for regulating CARM1 expression. The T allele disrupted the binding of early growth response-1, which led to the downregulation of transcriptional activity in vitro and CARM1 mRNA levels in vivo. In addition, rs117569851 was associated with plasma homocysteine levels in a Chinese population (n=406), with a 2.16 μmol/L decrease per copy of T allele. CONCLUSIONS The present study suggests that a noncoding variant in the CARM1-promoter functions as a regulator of gene transcription and homocysteine levels.
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Affiliation(s)
- Xuehui Liu
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Yongchen Hao
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Laiyuan Wang
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Hongfan Li
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Xiangfeng Lu
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Jie Cao
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Yongyan Hu
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Xingbo Mo
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Xiaozhong Peng
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu)
| | - Dongfeng Gu
- From the State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital and National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X. Liu, Y.H., L.W., H.L., X. Lu, J.C., Y.H., X.M., D.G.); State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.P.); and Department of Cardiovascular Genetics, National Human Genome Center at Beijing, Beijing, China (X. Liu).
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Ahles A, Engelhardt S. Polymorphic variants of adrenoceptors: pharmacology, physiology, and role in disease. Pharmacol Rev 2014; 66:598-637. [PMID: 24928328 DOI: 10.1124/pr.113.008219] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2025] Open
Abstract
The human genome encodes nine different adrenoceptor genes. These are grouped into three families, namely, the α1-, α2-, and β-adrenoceptors, with three family members each. Adrenoceptors are expressed by most cell types of the human body and are primary targets of the catecholamines epinephrine and norepinephrine that are released from the sympathetic nervous system during its activation. Upon catecholamine binding, adrenoceptors change conformation, couple to and activate G proteins, and thereby initiate various intracellular signaling cascades. As the primary receivers and transducers of sympathetic activation, adrenoceptors have a central role in human physiology and disease and are important targets for widely used drugs. All nine adrenoceptor subtypes display substantial genetic variation, both in their coding sequence as well as in adjacent regions. Despite the fact that some of the adrenoceptor variants range among the most frequently studied genetic variants assessed in pharmacogenetics to date, their functional relevance remains ill defined in many cases. A substantial fraction of the associations reported from early candidate gene approaches have not subsequently been confirmed in different cohorts or in genome-wide association studies, which have increasingly been conducted in recent years. This review aims to provide a comprehensive overview of all adrenoceptor variants that have reproducibly been detected in the larger genome sequencing efforts. We evaluate these variants with respect to the modulation of receptor function and expression and discuss their role in physiology and disease.
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Affiliation(s)
- Andrea Ahles
- Institut für Pharmakologie und Toxikologie, Technische Universität München, Munich, Germany (A.A., S.E.); and DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany (S.E.)
| | - Stefan Engelhardt
- Institut für Pharmakologie und Toxikologie, Technische Universität München, Munich, Germany (A.A., S.E.); and DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany (S.E.)
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A genome-wide association study identifies PLCL2 and AP3D1-DOT1L-SF3A2 as new susceptibility loci for myocardial infarction in Japanese. Eur J Hum Genet 2014; 23:374-80. [PMID: 24916648 DOI: 10.1038/ejhg.2014.110] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2013] [Revised: 05/01/2014] [Accepted: 05/08/2014] [Indexed: 12/18/2022] Open
Abstract
Despite considerable progress in preventive and therapeutic strategies, myocardial infarction (MI) is one of the leading causes of death throughout the world. A total of 55 susceptibility genes have been identified mostly in European genome-wide association studies (GWAS). Nevertheless, large-scale GWAS from other population could possibly find additional susceptibility loci. To identify as many MI susceptibility loci as possible, we performed a large-scale genomic analysis in Japanese population. To identify MI susceptibility loci in Japanese, we conducted a GWAS using 1666 cases and 3198 controls using the Illumina Human610-Quad BeadChip and HumanHap550v3 Genotyping BeadChip. We performed replication studies using a total of 11,412 cases and 28,397 controls in the Japanese population. Our study identified two novel susceptibility loci for MI: PLCL2 on chromosome 3p24.3 (rs4618210:A>G, P = 2.60 × 10(-9), odds ratio (OR) = 0.91) and AP3D1-DOT1L-SF3A2 on chromosome 19p13.3 (rs3803915:A>C, P = 3.84 × 10(-9), OR = 0.89). Besides, a total of 14 previously reported MI susceptibility loci were replicated in our study. In particular, we validated a strong association on chromosome 12q24 (rs3782886:A>G: P = 1.14 × 10(-14), OR = 1.46). Following pathway analysis using 265 genes related to MI or coronary artery disease, we found that these loci might be involved in the pathogenesis of MI via the promotion of atherosclerosis. In the present large-scale genomic analysis, we identified PLCL2 and AP3D1-DOT1L-SF3A2 as new susceptibility loci for MI in the Japanese population. Our findings will add novel findings for MI susceptibility loci.
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Huang L, Kondo F, Gosho M, Feng GG, Harato M, Xia ZY, Ishikawa N, Fujiwara Y, Okada S. Enhanced expression of WD repeat-containing protein 35 via CaMKK/AMPK activation in bupivacaine-treated Neuro2a cells. PLoS One 2014; 9:e98185. [PMID: 24859235 PMCID: PMC4032276 DOI: 10.1371/journal.pone.0098185] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Accepted: 04/29/2014] [Indexed: 11/17/2022] Open
Abstract
We previously reported that bupivacaine induces reactive oxygen species (ROS) generation, p38 mitogen-activated protein kinase (MAPK) activation and nuclear factor-kappa B activation, resulting in an increase in expression of WD repeat-containing protein 35 (WDR35) in mouse neuroblastoma Neuro2a cells. However, the identity of signaling upstream of p38 MAPK pathways to WDR35 expression remains unclear. It has been shown that AMP-activated protein kinase (AMPK) can activate p38 MAPK through diverse mechanisms. In addition, several kinases acting upstream of AMPK have been identified including Ca2+/calmodulin-dependent protein kinase kinase (CaMKK). Recent studies reported that AMPK may be involved in bupivacaine-induced cytotoxicity in Schwann cells and in human neuroblastoma SH-SY5Y cells. The present study was undertaken to test whether CaMKK and AMPK are involved in bupivacaine-induced WDR35 expression in Neuro2a cells. Our results showed that bupivacaine induced activation of AMPK and p38 MAPK in Neuro2a cells. The AMPK inhibitors, compound C and iodotubercidin, attenuated the bupivacaine-induced activation of AMPK and p38 MAPK, resulting in an inhibition of the bupivacaine-induced increase in WDR35 expression. Treatment with the CaMKK inhibitor STO-609 also attenuated the bupivacaine-induced activation of AMPK and p38 MAPK, resulting in an inhibition of the bupivacaine-induced increase in WDR35 expression. These results suggest that bupivacaine activates AMPK and p38 MAPK via CaMKK in Neuro2a cells, and that the CaMKK/AMPK/p38 MAPK pathway is involved in regulating WDR35 expression.
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Affiliation(s)
- Lei Huang
- Department of Pharmacology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan; Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Fumio Kondo
- Department of Pharmacology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Masahiko Gosho
- Advanced Medical Research Center, Aichi Medical University, Nagakute, Aichi, Japan
| | - Guo-Gang Feng
- Department of Pharmacology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Misako Harato
- Department of Anesthesiology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Zhong-yuan Xia
- Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Naohisa Ishikawa
- Department of Pharmacology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Yoshihiro Fujiwara
- Department of Anesthesiology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Shoshiro Okada
- Department of Pharmacology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
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Çakmak HA, Bayoğlu B, Durmaz E, Can G, Karadağ B, Cengiz M, Vural VA, Yüksel H. Evaluation of association between common genetic variants on chromosome 9p21 and coronary artery disease in Turkish population. Anatol J Cardiol 2014; 15:196-203. [PMID: 25333979 PMCID: PMC5337054 DOI: 10.5152/akd.2014.5285] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Objective: Coronary artery disease (CAD), which develops from complex interactions between genetic and enviromental factors, is a leading cause of death worldwide. Based on genome-wide association studies (GWAS), the chromosomal region 9p21 has been identified as the most relevant locus presenting a strong association with CAD in different populations. The aim of the present study was to investigate the association of two SNPs on chromosome 9p21 on susceptibility to CAD and the effect of these SNPs along with cardiovascular risk factors on the severity of CAD in the Turkish population. Methods: This study had an observational case-control design. We genotyped 460 subjects, aged 30-65 years, to investigate the association of 2 SNPs (rs1333049, rs2383207) on chromosome 9p21 and CAD risk in Turkish population. Real-time polymerase chain reaction (RT-PCR) was used to analyze the 2 SNPs in CAD patients and healthy controls. The genotype and allelic variations of these SNPs with the severity of CAD was also assessed using semi-quantitative methods such as the Gensini score. Student’s t test and multiple regression analysis were used for statistical analysis. Results: The SNPs rs1333049 and rs2383207 were found to be associated with CAD with an adjusted OR of 1.81 (95% Cl 1.05-3.12) and 2.12 (95% CI 1.19-4.10) respectively. After adjustment of CAD risk factors such as smoking, family history of CAD and diabetes, the homozygous AA genotype for rs2383207 increased the CAD risk with an OR 3.69. Also a very strong association was found between rs1333049 and rs2383207 and Gensini scores representing the severity of CAD (p<0.001). Conclusion: The rs2383207 and rs1333049 SNPs on 9p21 chromosome were significantly associated with the risk and severity of CAD in the Turkish population.
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Affiliation(s)
- Hüseyin Altuğ Çakmak
- Department of Cardiology, Cerrahpaşa Medical Faculty, İstanbul University; İstanbul-Turkey.
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Miller CL, Haas U, Diaz R, Leeper NJ, Kundu RK, Patlolla B, Assimes TL, Kaiser FJ, Perisic L, Hedin U, Maegdefessel L, Schunkert H, Erdmann J, Quertermous T, Sczakiel G. Coronary heart disease-associated variation in TCF21 disrupts a miR-224 binding site and miRNA-mediated regulation. PLoS Genet 2014; 10:e1004263. [PMID: 24676100 PMCID: PMC3967965 DOI: 10.1371/journal.pgen.1004263] [Citation(s) in RCA: 93] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Accepted: 02/11/2014] [Indexed: 01/28/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified chromosomal loci that affect risk of coronary heart disease (CHD) independent of classical risk factors. One such association signal has been identified at 6q23.2 in both Caucasians and East Asians. The lead CHD-associated polymorphism in this region, rs12190287, resides in the 3′ untranslated region (3′-UTR) of TCF21, a basic-helix-loop-helix transcription factor, and is predicted to alter the seed binding sequence for miR-224. Allelic imbalance studies in circulating leukocytes and human coronary artery smooth muscle cells (HCASMC) showed significant imbalance of the TCF21 transcript that correlated with genotype at rs12190287, consistent with this variant contributing to allele-specific expression differences. 3′ UTR reporter gene transfection studies in HCASMC showed that the disease-associated C allele has reduced expression compared to the protective G allele. Kinetic analyses in vitro revealed faster RNA-RNA complex formation and greater binding of miR-224 with the TCF21 C allelic transcript. In addition, in vitro probing with Pb2+ and RNase T1 revealed structural differences between the TCF21 variants in proximity of the rs12190287 variant, which are predicted to provide greater access to the C allele for miR-224 binding. miR-224 and TCF21 expression levels were anti-correlated in HCASMC, and miR-224 modulates the transcriptional response of TCF21 to transforming growth factor-β (TGF-β) and platelet derived growth factor (PDGF) signaling in an allele-specific manner. Lastly, miR-224 and TCF21 were localized in human coronary artery lesions and anti-correlated during atherosclerosis. Together, these data suggest that miR-224 interaction with the TCF21 transcript contributes to allelic imbalance of this gene, thus partly explaining the genetic risk for coronary heart disease associated at 6q23.2. These studies implicating rs12190287 in the miRNA-dependent regulation of TCF21, in conjunction with previous studies showing that this variant modulates transcriptional regulation through activator protein 1 (AP-1), suggests a unique bimodal level of complexity previously unreported for disease-associated variants. Both genetic and environmental factors cumulatively contribute to coronary heart disease risk in human populations. Large-scale meta-analyses of genome-wide association studies have now leveraged common genetic variation to identify multiple sites of disease susceptibility; however, the causal mechanisms for these associations largely remain elusive. One of these disease-associated variants, rs12190287, resides in the 3′untranslated region of the vascular developmental transcription factor, TCF21. Intriguingly, this variant is shown to disrupt the seed binding sequence for microRNA-224, and through altered RNA secondary structure and binding kinetics, leads to dysregulated TCF21 gene expression in response to disease-relevant stimuli. Importantly TCF21 and miR-224 expression levels were perturbed in human atherosclerotic lesions. Along with our previous reports on the transcriptional regulatory mechanisms altered by this variant, these studies shed new light on the complex heritable mechanisms of coronary heart disease risk that are amenable to therapeutic intervention.
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Affiliation(s)
- Clint L. Miller
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
- * E-mail: (CLM); (TQ); (GS)
| | - Ulrike Haas
- Institut für Molekulare Medizin, Universität zu Lübeck, Lübeck, Germany
| | - Roxanne Diaz
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Nicholas J. Leeper
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Ramendra K. Kundu
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Bhagat Patlolla
- Department of Medicine, Division of Cardiothoracic Surgery, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Themistocles L. Assimes
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Frank J. Kaiser
- Institut für Humangenetik, Universität zu Lübeck, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), partner site Hamburg/Lubeck/Kiel, Lubeck, Germany
| | - Ljubica Perisic
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ulf Hedin
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lars Maegdefessel
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Technische Universität München, Munich, DZHK, partner site Munich Heart Alliance, Munich, Germany
| | - Jeanette Erdmann
- DZHK (German Research Centre for Cardiovascular Research), partner site Hamburg/Lubeck/Kiel, Lubeck, Germany
- Institut für Integrative und Experimentelle Genomik, Universität zu Lübeck, Lübeck, Germany
| | - Thomas Quertermous
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
- * E-mail: (CLM); (TQ); (GS)
| | - Georg Sczakiel
- Institut für Molekulare Medizin, Universität zu Lübeck, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), partner site Hamburg/Lubeck/Kiel, Lubeck, Germany
- * E-mail: (CLM); (TQ); (GS)
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227
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Rahmioglu N, Nyholt DR, Morris AP, Missmer SA, Montgomery GW, Zondervan KT. Genetic variants underlying risk of endometriosis: insights from meta-analysis of eight genome-wide association and replication datasets. Hum Reprod Update 2014; 20:702-16. [PMID: 24676469 PMCID: PMC4132588 DOI: 10.1093/humupd/dmu015] [Citation(s) in RCA: 145] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Endometriosis is a heritable common gynaecological condition influenced by multiple genetic and environmental factors. Genome-wide association studies (GWASs) have proved successful in identifying common genetic variants of moderate effects for various complex diseases. To date, eight GWAS and replication studies from multiple populations have been published on endometriosis. In this review, we investigate the consistency and heterogeneity of the results across all the studies and their implications for an improved understanding of the aetiology of the condition. METHODS Meta-analyses were conducted on four GWASs and four replication studies including a total of 11 506 cases and 32 678 controls, and on the subset of studies that investigated associations for revised American Fertility Society (rAFS) Stage III/IV including 2859 cases. The datasets included 9039 cases and 27 343 controls of European (Australia, Belgium, Italy, UK, USA) and 2467 cases and 5335 controls of Japanese ancestry. Fixed and Han and Elkin random-effects models, and heterogeneity statistics (Cochran's Q test), were used to investigate the evidence of the nine reported genome-wide significant loci across datasets and populations. RESULTS Meta-analysis showed that seven out of nine loci had consistent directions of effect across studies and populations, and six out of nine remained genome-wide significant (P < 5 × 10−8), including rs12700667 on 7p15.2 (P = 1.6 × 10−9), rs7521902 near WNT4 (P = 1.8 × 10−15), rs10859871 near VEZT (P = 4.7 × 10−15), rs1537377 near CDKN2B-AS1 (P = 1.5 × 10−8), rs7739264 near ID4 (P = 6.2 × 10−10) and rs13394619 in GREB1 (P = 4.5 × 10−8). In addition to the six loci, two showed borderline genome-wide significant associations with Stage III/IV endometriosis, including rs1250248 in FN1 (P = 8 × 10−8) and rs4141819 on 2p14 (P = 9.2 × 10−8). Two independent inter-genic loci, rs4141819 and rs6734792 on chromosome 2, showed significant evidence of heterogeneity across datasets (P < 0.005). Eight of the nine loci had stronger effect sizes among Stage III/IV cases, implying that they are likely to be implicated in the development of moderate to severe, or ovarian, disease. While three out of nine loci were inter-genic, the remaining were in or near genes with known functions of biological relevance to endometriosis, varying from roles in developmental pathways to cellular growth/carcinogenesis. CONCLUSIONS Our meta-analysis shows remarkable consistency in endometriosis GWAS results across studies, with little evidence of population-based heterogeneity. They also show that the phenotypic classifications used in GWAS to date have been limited. Stronger associations with Stage III/IV disease observed for most loci emphasize the importance for future studies to include detailed sub-phenotype information. Functional studies in relevant tissues are needed to understand the effect of the variants on downstream biological pathways.
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Affiliation(s)
- Nilufer Rahmioglu
- Wellcome Trust Center for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Dale R Nyholt
- Neurogenetics, QIMR Berghofer Medical Research Institute, Brisbane QLD 4029, Australia
| | - Andrew P Morris
- Wellcome Trust Center for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK Department of Biostatistics, University of Liverpool, Duncan Building, Daulby Street, Liverpool L69 3GA, UK
| | - Stacey A Missmer
- Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| | - Grant W Montgomery
- Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane QLD 4029, Australia
| | - Krina T Zondervan
- Wellcome Trust Center for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK Nuffield Department of Obstetrics and Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
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228
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Dechamethakun S, Ikeda S, Arai T, Sato N, Sawabe M, Muramatsu M. Associations between the CDKN2A/B, ADTRP and PDGFD polymorphisms and the development of coronary atherosclerosis in Japanese patients. J Atheroscler Thromb 2014; 21:680-90. [PMID: 24573017 DOI: 10.5551/jat.22640] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
AIM Genome-wide association studies have identified a series of susceptibility loci for coronary artery disease(CAD). The present study attempted to replicate the results for eight of these loci, CDKN2A/B(rs1333049), ADTRP(rs6903956), PDGFD(rs974819), TCF21(rs12190287), COL4A1-A2(rs4773144), HHIPL1(rs2895811), ADAMTS7(rs4380028) and UBE2Z(rs46522), in patients with pathologically defined atherosclerosis of the coronary arteries. METHODS Autopsy cases of elderly Japanese subjects were enrolled in the JG-SNP study(n=1,536). Polymorphisms were genotyped, and their associations with the coronary stenosis index(CSI) and incidence of pathological myocardial infraction(MI) were investigated. The potential combinatorial effects of the susceptibility loci were also assessed. RESULTS Among the eight loci tested, three exhibited signs of positive associations. CDKN2A/B showed the most robust associations with CSI and MI(p=0.007 and OR=1.843, 95% CI 1.293-2.629, p=0.001, for CC+CG vs. GG). In addition, ADTRP demonstrated associations with CSI and MI, although the risk allele was opposite from that observed in the original report(p=0.008 and OR=1.652, 95% CI 1.027-2.656, p=0.038 for GG vs. AA+AG). Meanwhile, PDGFD displayed a suggestive association with CSI in women, but not men(p=0.023). CDKN2A/B and ADTRP were also found to be significantly associated with the severity of the CSI in a case-control setting. The cumulative risk allele counting of CDKN2A/B, ADTRP and PDGFD indicated an increased number of risk alleles to be associated with a higher CSI(p=4.61E-05). CONCLUSIONS The present study confirmed the association between CDKN2A/B and CAD and identified a different associated risk allele of ADTRP. PDGFD was found to exhibit a gender-specific association with CAD. The combination of multiple risk alleles may be associated with a higher risk of CAD.
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Affiliation(s)
- Sariya Dechamethakun
- Department of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University
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229
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CELSR2-PSRC1-SORT1 gene expression and association with coronary artery disease and plasma lipid levels in an Asian Indian cohort. J Cardiol 2014; 64:339-46. [PMID: 24674750 DOI: 10.1016/j.jjcc.2014.02.012] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Revised: 01/22/2014] [Accepted: 02/15/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND Genetic regulation of plasma lipids has been shown to influence the risk of coronary artery disease (CAD). We analyzed the relationship between rs599839 and rs646776 single nucleotide polymorphisms (SNPs) present in the CELSR2-PSRC1-SORT1 gene cluster, candidate gene expression, and their association with CAD and circulating lipid levels in a representative cohort of Asian Indians selected from the Indian Atherosclerosis Research Study. METHODS SNPs rs599839 and rs646776 were genotyped by Taqman assay in 1034 CAD patients (cases) and 1034 age- and gender-matched controls. Expression of CELSR2, PSRC1, and SORT1 genes was measured in 100 cases and 100 controls. Plasma levels of total cholesterol (TC), triglycerides, high-density lipoprotein-cholesterol, and low-density lipoprotein-cholesterol (LDL-c) were measured by enzymatic assay. RESULTS Both rs646776 and rs599839 were in strong linkage disequilibrium (r = 0.98) and showed significant protective association with CAD (OR = 0.315, 95% CI 0.136-0.728, p<0.007 and OR = 0.422, 95% CI 0.181-0.981, p = 0.045, respectively). Haplotype TA showed 72% frequency and was associated with CAD (OR 0.77, 95% CI 0.67-0.88, p = 0.0002). PSRC1 gene expression was lower in the cases than in the controls (0.75 ± 0.405 versus 1.04 ± 0.622, p = 2.26 × 10(-4)). The homozygous variant and heterozygous genotypes showed 30% and 15% higher PSRC1 expression, respectively. Correspondingly, the minor alleles were associated with lower plasma TC and LDL-c levels. CONCLUSION PSRC1 in the cholesterol gene cluster shows a significant association with CAD by virtue of the two SNPs, rs646776 and rs599839 that also regulate plasma cholesterol levels.
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230
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Dewey FE, Grove ME, Pan C, Goldstein BA, Bernstein JA, Chaib H, Merker JD, Goldfeder RL, Enns GM, David SP, Pakdaman N, Ormond KE, Caleshu C, Kingham K, Klein TE, Whirl-Carrillo M, Sakamoto K, Wheeler MT, Butte AJ, Ford JM, Boxer L, Ioannidis JPA, Yeung AC, Altman RB, Assimes TL, Snyder M, Ashley EA, Quertermous T. Clinical interpretation and implications of whole-genome sequencing. JAMA 2014; 311:1035-45. [PMID: 24618965 PMCID: PMC4119063 DOI: 10.1001/jama.2014.1717] [Citation(s) in RCA: 327] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Whole-genome sequencing (WGS) is increasingly applied in clinical medicine and is expected to uncover clinically significant findings regardless of sequencing indication. OBJECTIVES To examine coverage and concordance of clinically relevant genetic variation provided by WGS technologies; to quantitate inherited disease risk and pharmacogenomic findings in WGS data and resources required for their discovery and interpretation; and to evaluate clinical action prompted by WGS findings. DESIGN, SETTING, AND PARTICIPANTS An exploratory study of 12 adult participants recruited at Stanford University Medical Center who underwent WGS between November 2011 and March 2012. A multidisciplinary team reviewed all potentially reportable genetic findings. Five physicians proposed initial clinical follow-up based on the genetic findings. MAIN OUTCOMES AND MEASURES Genome coverage and sequencing platform concordance in different categories of genetic disease risk, person-hours spent curating candidate disease-risk variants, interpretation agreement between trained curators and disease genetics databases, burden of inherited disease risk and pharmacogenomic findings, and burden and interrater agreement of proposed clinical follow-up. RESULTS Depending on sequencing platform, 10% to 19% of inherited disease genes were not covered to accepted standards for single nucleotide variant discovery. Genotype concordance was high for previously described single nucleotide genetic variants (99%-100%) but low for small insertion/deletion variants (53%-59%). Curation of 90 to 127 genetic variants in each participant required a median of 54 minutes (range, 5-223 minutes) per genetic variant, resulted in moderate classification agreement between professionals (Gross κ, 0.52; 95% CI, 0.40-0.64), and reclassified 69% of genetic variants cataloged as disease causing in mutation databases to variants of uncertain or lesser significance. Two to 6 personal disease-risk findings were discovered in each participant, including 1 frameshift deletion in the BRCA1 gene implicated in hereditary breast and ovarian cancer. Physician review of sequencing findings prompted consideration of a median of 1 to 3 initial diagnostic tests and referrals per participant, with fair interrater agreement about the suitability of WGS findings for clinical follow-up (Fleiss κ, 0.24; P < 001). CONCLUSIONS AND RELEVANCE In this exploratory study of 12 volunteer adults, the use of WGS was associated with incomplete coverage of inherited disease genes, low reproducibility of detection of genetic variation with the highest potential clinical effects, and uncertainty about clinically reportable findings. In certain cases, WGS will identify clinically actionable genetic variants warranting early medical intervention. These issues should be considered when determining the role of WGS in clinical medicine.
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Affiliation(s)
- Frederick E Dewey
- Stanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized
| | - Megan E Grove
- Stanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized
| | - Cuiping Pan
- Stanford Center for Genomics and Personalized Medicine, Stanford, California5Department of Genetics, Stanford University, Stanford, California
| | | | | | - Hassan Chaib
- Stanford Center for Genomics and Personalized Medicine, Stanford, California5Department of Genetics, Stanford University, Stanford, California
| | - Jason D Merker
- Department of Pathology, Stanford University, Stanford, California
| | - Rachel L Goldfeder
- Biomedical Informatics Training Program, Stanford University, Stanford, California
| | - Gregory M Enns
- Department of Pediatrics, Stanford University, Stanford, California
| | - Sean P David
- Department of Medicine, Stanford University, Stanford, California
| | - Neda Pakdaman
- Department of Medicine, Stanford University, Stanford, California
| | - Kelly E Ormond
- Department of Genetics, Stanford University, Stanford, California10Stanford Center for Biomedical Ethics, Stanford, California
| | - Colleen Caleshu
- Stanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California7Department of Pediatrics, Stanford University
| | - Kerry Kingham
- Division of Medical Oncology, Stanford University, Stanford, California
| | - Teri E Klein
- Department of Genetics, Stanford University, Stanford, California
| | | | - Kenneth Sakamoto
- Division of Cardiovascular Medicine, Stanford University, Stanford, California6Department of Medicine, Stanford University, Stanford, California
| | - Matthew T Wheeler
- Stanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized
| | - Atul J Butte
- Department of Pediatrics, Stanford University, Stanford, California12Division of Systems Medicine, Stanford University, Stanford, California
| | - James M Ford
- Division of Medical Oncology, Stanford University, Stanford, California
| | - Linda Boxer
- Department of Medicine, Stanford University, Stanford, California
| | - John P A Ioannidis
- Department of Medicine, Stanford University, Stanford, California12Division of Systems Medicine, Stanford University, Stanford, California14Stanford Prevention Research Center, Stanford, California15Department of Health Research and Policy, Stanford Unive
| | - Alan C Yeung
- Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California
| | - Russ B Altman
- Department of Genetics, Stanford University, Stanford, California6Department of Medicine, Stanford University, Stanford, California16Department of Bioengineering, Stanford University, Stanford, California
| | - Themistocles L Assimes
- Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California
| | - Michael Snyder
- Stanford Cardiovascular Institute, Stanford, California4Stanford Center for Genomics and Personalized Medicine, Stanford, California5Department of Genetics, Stanford University, Stanford, California
| | - Euan A Ashley
- Stanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized
| | - Thomas Quertermous
- Stanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized
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Genome-Wide Association Studies of Genetic Impact on Cardiovascular and Metabolic Diseases in Asians: Opportunity for Discovery. CURRENT CARDIOVASCULAR RISK REPORTS 2014. [DOI: 10.1007/s12170-014-0380-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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232
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Sharma P, Garg G, Kumar A, Mohammad F, Kumar SR, Tanwar VS, Sati S, Sharma A, Karthikeyan G, Brahmachari V, Sengupta S. Genome wide DNA methylation profiling for epigenetic alteration in coronary artery disease patients. Gene 2014; 541:31-40. [PMID: 24582973 DOI: 10.1016/j.gene.2014.02.034] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2013] [Revised: 10/29/2013] [Accepted: 02/17/2014] [Indexed: 11/29/2022]
Abstract
BACKGROUND The alteration in the epigenome forms an interface between the genotype and the environment. Epigenetic alteration is expected to make a significant contribution to the development of cardiovascular disease where environmental interactions play a key role in disease progression. We had previously shown that global DNA hypermethylation per se is associated with coronary artery disease (CAD) and is further accentuated by high levels of homocysteine, a thiol amino acid which is an independent risk factor for cardiovascular disease and is also a key modulator of macromolecular methylation. RESULTS We have identified 72 differentially methylated regions (DMRs) that were hypermethylated in CAD patients in the background of varying homocysteine levels. Following deep bisulfite sequencing of a few of the selected DMRs, we found significantly higher methylation in CAD cases. We get six CpG sites in three DMRs that included the intronic region of C1QL4 gene and upstream region of CCDC47 and TGFBR3 genes. CONCLUSION To the best of our knowledge, this is the first study to identify hypermethylated regions across the genome in patients with coronary artery disease. Further validation in different populations is necessary for this information to be used for disease risk assessment and management.
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Affiliation(s)
- Priyanka Sharma
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India; Dr. B. R. Ambedkar Centre for Biomedical Research, University of Delhi, Delhi 110007, India
| | - Gaurav Garg
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Arun Kumar
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Farhan Mohammad
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Sudha Ramesh Kumar
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India; Dr. B. R. Ambedkar Centre for Biomedical Research, University of Delhi, Delhi 110007, India
| | - Vinay Singh Tanwar
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Satish Sati
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Abhay Sharma
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Ganesan Karthikeyan
- All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Vani Brahmachari
- Dr. B. R. Ambedkar Centre for Biomedical Research, University of Delhi, Delhi 110007, India.
| | - Shantanu Sengupta
- CSIR - Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India.
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McPherson R. Genome-Wide Association Studies of Cardiovascular Disease in European and Non-European Populations. CURRENT GENETIC MEDICINE REPORTS 2014. [DOI: 10.1007/s40142-014-0033-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Yu X, Liu J, Zhu H, Xia Y, Gao L, Dong Y, Jia N, Shen W, Yang Y, Niu W. Synergistic association of DNA repair relevant gene polymorphisms with the risk of coronary artery disease in northeastern Han Chinese. Thromb Res 2014; 133:229-34. [DOI: 10.1016/j.thromres.2013.11.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Revised: 11/07/2013] [Accepted: 11/19/2013] [Indexed: 10/26/2022]
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Coactivator-associated arginine methyltransferase 1 targeted by miR-15a regulates inflammation in acute coronary syndrome. Atherosclerosis 2014; 233:349-356. [PMID: 24530761 DOI: 10.1016/j.atherosclerosis.2014.01.039] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Revised: 01/09/2014] [Accepted: 01/15/2014] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Coactivator-associated arginine methyltransferase 1 (CARM1) is essential for the activation of a subset of NF-кB-dependent genes, which code the chemokines triggering plaque vulnerability. Unstable atherosclerotic plaques lead to the onset of acute coronary syndrome (ACS). Therefore, we aimed to investigate whether CARM1 is involved in the pathogenesis of ACS and ascertain the regulatory mechanism of CARM1 expression at posttranscriptional level. METHODS Peripheral blood mononuclear cells (PBMCs) were isolated from peripheral blood of 19 patients with ACS and 22 subjects with risk factors for coronary heart disease. Gene expression was determined by quantitative real-time PCR and Western blot. The effects of CARM1 and miR-15a on their target genes expression were assessed by gain-of-function and loss-of-function approaches. RESULTS PBMCs from patients with ACS showed higher levels of CARM1 mRNA and protein expression. The levels of CARM1 mRNA were positively correlated with three chemokines including interferon-inducible protein-10 (IP-10), monocyte chemoattractant protein 1 (MCP-1), and interleukin-8 (IL-8) in PBMCs (CARM1 and IP-10: r=0.55, P=0.008; CARM1 and MCP-1: r=0.64, P=0.002; CARM1 and IL-8: r=0.55, P=0.008). Moreover, CARM1 regulated the transcription of these chemokines in human embryonic kidney 293T (HEK293T) cells. We also found that the levels of miR-15a were decreased by 37% in patients with ACS and miR-15a modulated CARM1 expression through targeted binding to CARM1 3'-UTR. CONCLUSION The present study demonstrated that CARM1 targeted by miR-15a played an important role in chemokine activation in the pathogenesis of ACS.
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Wang Y, Wang L, Liu X, Zhang Y, Yu L, Zhang F, Liu L, Cai J, Yang X, Wang X. Genetic variants associated with myocardial infarction and the risk factors in Chinese population. PLoS One 2014; 9:e86332. [PMID: 24475106 PMCID: PMC3903528 DOI: 10.1371/journal.pone.0086332] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Accepted: 12/06/2013] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Recent genome-wide association (GWA) studies in Caucasians identified multiple single nucleotide polymorphisms (SNPs) associated with coronary artery disease (CAD). The associations of those SNPs with myocardial infarction (MI) have not been replicated in Asian populations. Among those previously identified SNPs, we selected nine (rs10953541, rs1122608, rs12190287, rs12413409, rs1412444, rs1746048, rs3798220, rs4977574, rs579459, in or near genes 7q22, LDLR, TCF21, CYP17A1, LIPA, CXCL12, LPA, CDKN2A, ABO, respectively) because of the relatively high minor allele frequencies in Chinese individuals and tested the associations of the SNPs with MI and MI related risk factors in Chinese population. METHODS AND RESULTS We conducted a case-control association study on a cohort of 2365 MI patients and 2678 unrelated controls from the Chinese population. Genotyping of 9 SNPs were performed by the TaqMan Real Time PCR method. After age, sex, and BMI adjustment, we observed the SNPs rs12190287, rs12413409, rs1412444, rs1746048 and rs4977574, were significantly associated with MI in additive models and rs12190287, rs12413409, rs4977574 were significantly associated with phenotypes of MI at the same time. We also found three SNPs rs1122608, rs3798220 and rs579459 were significantly associated with risk factors of MI, although they had no association with MI in Chinese population. CONCLUSION Results of this study indicate that 5 SNPs were associated with MI and 3 SNPs were associated with associated with lipoprotein levels but not with MI in a Chinese population. The present study supports some CAD-related genes in Caucasian as important genes for MI in a Chinese population.
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Affiliation(s)
- Yongqin Wang
- Department of Cardiology, First Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong, China
- Laboratory of Human Genetics, Beijing Hypertension League Institute, Beijing, China
- School of Basic Courses, Baotou Medical College, Baotou, Neimenggu, China
| | - Lefeng Wang
- Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xin Liu
- Laboratory of Human Genetics, Beijing Hypertension League Institute, Beijing, China
- Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yongzhi Zhang
- Department of Cardiology, First Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong, China
- Laboratory of Human Genetics, Beijing Hypertension League Institute, Beijing, China
| | - Liping Yu
- Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Fan Zhang
- Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Lisheng Liu
- Laboratory of Human Genetics, Beijing Hypertension League Institute, Beijing, China
| | - Jun Cai
- Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xinchun Yang
- Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xingyu Wang
- Department of Cardiology, First Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong, China
- Laboratory of Human Genetics, Beijing Hypertension League Institute, Beijing, China
- Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China
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Enhanced expression of WD repeat-containing protein 35 via nuclear factor-kappa B activation in bupivacaine-treated Neuro2a cells. PLoS One 2014; 9:e86336. [PMID: 24466034 PMCID: PMC3897669 DOI: 10.1371/journal.pone.0086336] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Accepted: 12/09/2013] [Indexed: 01/18/2023] Open
Abstract
The family of WD repeat proteins comprises a large number of proteins and is involved in a wide variety of cellular processes such as signal transduction, cell growth, proliferation, and apoptosis. Bupivacaine is a sodium channel blocker administered for local infiltration, nerve block, epidural, and intrathecal anesthesia. Recently, we reported that bupivacaine induces reactive oxygen species (ROS) generation and p38 mitogen-activated protein kinase (MAPK) activation, resulting in an increase in the expression of WD repeat-containing protein 35 (WDR35) in mouse neuroblastoma Neuro2a cells. It has been shown that ROS activate MAPK through phosphorylation, followed by activation of nuclear factor-kappa B (NF-κB) and activator protein 1 (AP-1). The present study was undertaken to test whether NF-κB and c-Jun/AP-1 are involved in bupivacaine-induced WDR35 expression in Neuro2a cells. Bupivacaine activated both NF-κB and c-Jun in Neuro2a cells. APDC, an NF-κB inhibitor, attenuated the increase in NF-κB activity and WDR35 protein expression in bupivacaine-treated Neuro2a cells. GW9662, a selective peroxisome proliferator-activated receptor-γ antagonist, enhanced the increase in NF-κB activity and WDR35 protein expression in bupivacaine-treated Neuro2a cells. In contrast, c-Jun siRNA did not inhibit the bupivacaine-induced increase in WDR35 mRNA expression. These results indicate that bupivacaine induces the activation of transcription factors NF-κB and c-Jun/AP-1 in Neuro2a cells, while activation of NF-κB is involved in bupivacaine-induced increases in WDR35 expression.
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Adhikari N, Billaud M, Carlson M, Lake SP, Montaniel KRC, Staggs R, Guan W, Walek D, Desir S, Isakson BE, Barocas VH, Hall JL. Vascular biomechanical properties in mice with smooth muscle specific deletion of Ndst1. Mol Cell Biochem 2014; 385:225-38. [PMID: 24101444 PMCID: PMC4853023 DOI: 10.1007/s11010-013-1831-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Accepted: 09/26/2013] [Indexed: 12/19/2022]
Abstract
Heparan sulfate proteoglycans act as co-receptors for many chemokines and growth factors. The sulfation pattern of the heparan sulfate chains is a critical regulatory step affecting the binding of chemokines and growth factors. N-deacetylase-N-sulfotransferase1 (Ndst1) is one of the first enzymes to catalyze sulfation. Previously published work has shown that HSPGs alter tangent moduli and stiffness of tissues and cells. We hypothesized that loss of Ndst1 in smooth muscle would lead to significant changes in heparan sulfate modification and the elastic properties of arteries. In line with this hypothesis, the axial tangent modulus was significantly decreased in aorta from mice lacking Ndst1 in smooth muscle (SM22αcre(+)Ndst1(-/-), p < 0.05, n = 5). The decrease in axial tangent modulus was associated with a significant switch in myosin and actin types and isoforms expressed in aorta and isolated aortic vascular smooth muscle cells. In contrast, no changes were found in the compliance of smaller thoracodorsal arteries of SM22αcre(+)Ndst1(-/-) mice. In summary, the major findings of this study were that targeted ablation of Ndst1 in smooth muscle cells results in altered biomechanical properties of aorta and differential expression of myosin and actin types and isoforms.
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Affiliation(s)
- Neeta Adhikari
- Lillehei Heart Institute, Department of Medicine, University of Minnesota, Minneapolis, MN 55455
| | - Marie Billaud
- Robert M Berne Cardiovascular Research Center, School of Medicine, University of Virginia, Charlottesville, VA 22908
| | - Marjorie Carlson
- Lillehei Heart Institute, Department of Medicine, University of Minnesota, Minneapolis, MN 55455
| | - Spencer P. Lake
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, MN 55455
| | - Kim Ramil C. Montaniel
- Lillehei Heart Institute, Department of Medicine, University of Minnesota, Minneapolis, MN 55455
| | - Rod Staggs
- Lillehei Heart Institute, Department of Medicine, University of Minnesota, Minneapolis, MN 55455
| | - Weihua Guan
- Department of Biostatistics, University of Minnesota, Minneapolis, MN 55455
| | - Dinesha Walek
- Biomedical Genomics Center, University of Minnesota, Minneapolis, MN 55455
| | - Snider Desir
- Lillehei Heart Institute, Department of Medicine, University of Minnesota, Minneapolis, MN 55455
| | - Brant E. Isakson
- Robert M Berne Cardiovascular Research Center, School of Medicine, University of Virginia, Charlottesville, VA 22908
| | - Victor H. Barocas
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, MN 55455
| | - Jennifer L. Hall
- Lillehei Heart Institute, Department of Medicine, University of Minnesota, Minneapolis, MN 55455
- Division of Cardiology, Department of Medicine, University of Minnesota, Minneapolis, MN 55455
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Thameem F, Igo RP, Freedman BI, Langefeld C, Hanson RL, Schelling JR, Elston RC, Duggirala R, Nicholas SB, Goddard KAB, Divers J, Guo X, Ipp E, Kimmel PL, Meoni LA, Shah VO, Smith MW, Winkler CA, Zager PG, Knowler WC, Nelson RG, Pahl MV, Parekh RS, Kao WHL, Rasooly RS, Adler SG, Abboud HE, Iyengar SK, Sedor JR, on behalf of the Family Investigation of Nephropathy and Diabetes Research Group. A genome-wide search for linkage of estimated glomerular filtration rate (eGFR) in the Family Investigation of Nephropathy and Diabetes (FIND). PLoS One 2013; 8:e81888. [PMID: 24358131 PMCID: PMC3866106 DOI: 10.1371/journal.pone.0081888] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2013] [Accepted: 10/27/2013] [Indexed: 12/22/2022] Open
Abstract
Objective Estimated glomerular filtration rate (eGFR), a measure of kidney function, is heritable, suggesting that genes influence renal function. Genes that influence eGFR have been identified through genome-wide association studies. However, family-based linkage approaches may identify loci that explain a larger proportion of the heritability. This study used genome-wide linkage and association scans to identify quantitative trait loci (QTL) that influence eGFR. Methods Genome-wide linkage and sparse association scans of eGFR were performed in families ascertained by probands with advanced diabetic nephropathy (DN) from the multi-ethnic Family Investigation of Nephropathy and Diabetes (FIND) study. This study included 954 African Americans (AA), 781 American Indians (AI), 614 European Americans (EA) and 1,611 Mexican Americans (MA). A total of 3,960 FIND participants were genotyped for 6,000 single nucleotide polymorphisms (SNPs) using the Illumina Linkage IVb panel. GFR was estimated by the Modification of Diet in Renal Disease (MDRD) formula. Results The non-parametric linkage analysis, accounting for the effects of diabetes duration and BMI, identified the strongest evidence for linkage of eGFR on chromosome 20q11 (log of the odds [LOD] = 3.34; P = 4.4×10−5) in MA and chromosome 15q12 (LOD = 2.84; P = 1.5×10−4) in EA. In all subjects, the strongest linkage signal for eGFR was detected on chromosome 10p12 (P = 5.5×10−4) at 44 cM near marker rs1339048. A subsequent association scan in both ancestry-specific groups and the entire population identified several SNPs significantly associated with eGFR across the genome. Conclusion The present study describes the localization of QTL influencing eGFR on 20q11 in MA, 15q21 in EA and 10p12 in the combined ethnic groups participating in the FIND study. Identification of causal genes/variants influencing eGFR, within these linkage and association loci, will open new avenues for functional analyses and development of novel diagnostic markers for DN.
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Affiliation(s)
- Farook Thameem
- Department of Medicine, The University of Texas Health Science Center, San Antonio, Texas, United States of America
| | - Robert P. Igo
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Carl Langefeld
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Robert L. Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Jeffrey R. Schelling
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Robert C. Elston
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Ravindranath Duggirala
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Susanne B. Nicholas
- Department of Medicine, University of California, Los Angeles, California, United States of America
| | - Katrina A. B. Goddard
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, United States of America
| | - Jasmin Divers
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Xiuqing Guo
- Department of Pediatrics, Harbor-University of California Los Angeles Medical Center, Torrance, California, United States of America
| | - Eli Ipp
- Department of Medicine, Harbor-University of California Los Angeles Medical Center, Torrance, California, United States of America
| | - Paul L. Kimmel
- National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Lucy A. Meoni
- Department of Epidemiology and Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Vallabh O. Shah
- University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Michael W. Smith
- National Human Genome Research Institute, NIH, Bethesda, Maryland, United States of America
| | - Cheryl A. Winkler
- Center for Cancer Research, National Cancer Institute, NIH, Frederick, Maryland, United States of America
| | - Philip G. Zager
- University of New Mexico, Albuquerque, New Mexico, United States of America
| | - William C. Knowler
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Robert G. Nelson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America
| | - Madeline V. Pahl
- Department of Medicine, University of California, Irvine, California, United States of America
| | - Rulan S. Parekh
- Department of Epidemiology and Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Pediatrics, University of Toronto, Toronto, Canada
| | - W. H. Linda Kao
- Department of Epidemiology and Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Rebekah S. Rasooly
- National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Sharon G. Adler
- Department of Medicine, Harbor-University of California Los Angeles Medical Center, Torrance, California, United States of America
| | - Hanna E. Abboud
- Department of Medicine, The University of Texas Health Science Center, San Antonio, Texas, United States of America
| | - Sudha K. Iyengar
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
- * E-mail:
| | - John R. Sedor
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
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Ganesh SK, Arnett DK, Assimes TL, Basson CT, Chakravarti A, Ellinor PT, Engler MB, Goldmuntz E, Herrington DM, Hershberger RE, Hong Y, Johnson JA, Kittner SJ, McDermott DA, Meschia JF, Mestroni L, O’Donnell CJ, Psaty BM, Vasan RS, Ruel M, Shen WK, Terzic A, Waldman SA. Genetics and Genomics for the Prevention and Treatment of Cardiovascular Disease: Update. Circulation 2013; 128:2813-51. [DOI: 10.1161/01.cir.0000437913.98912.1d] [Citation(s) in RCA: 87] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Affiliation(s)
- Wolfgang Lieb
- Institute of Epidemiology, Christian Albrechts Universität Kiel, Niemannsweg 11, Kiel, Germany.
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Dysfunctional nitric oxide signalling increases risk of myocardial infarction. Nature 2013; 504:432-6. [PMID: 24213632 DOI: 10.1038/nature12722] [Citation(s) in RCA: 213] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2012] [Accepted: 09/27/2013] [Indexed: 12/13/2022]
Abstract
Myocardial infarction, a leading cause of death in the Western world, usually occurs when the fibrous cap overlying an atherosclerotic plaque in a coronary artery ruptures. The resulting exposure of blood to the atherosclerotic material then triggers thrombus formation, which occludes the artery. The importance of genetic predisposition to coronary artery disease and myocardial infarction is best documented by the predictive value of a positive family history. Next-generation sequencing in families with several affected individuals has revolutionized mutation identification. Here we report the segregation of two private, heterozygous mutations in two functionally related genes, GUCY1A3 (p.Leu163Phefs*24) and CCT7 (p.Ser525Leu), in an extended myocardial infarction family. GUCY1A3 encodes the α1 subunit of soluble guanylyl cyclase (α1-sGC), and CCT7 encodes CCTη, a member of the tailless complex polypeptide 1 ring complex, which, among other functions, stabilizes soluble guanylyl cyclase. After stimulation with nitric oxide, soluble guanylyl cyclase generates cGMP, which induces vasodilation and inhibits platelet activation. We demonstrate in vitro that mutations in both GUCY1A3 and CCT7 severely reduce α1-sGC as well as β1-sGC protein content, and impair soluble guanylyl cyclase activity. Moreover, platelets from digenic mutation carriers contained less soluble guanylyl cyclase protein and consequently displayed reduced nitric-oxide-induced cGMP formation. Mice deficient in α1-sGC protein displayed accelerated thrombus formation in the microcirculation after local trauma. Starting with a severely affected family, we have identified a link between impaired soluble-guanylyl-cyclase-dependent nitric oxide signalling and myocardial infarction risk, possibly through accelerated thrombus formation. Reversing this defect may provide a new therapeutic target for reducing the risk of myocardial infarction.
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Janssen SF, Gorgels TG, Ramdas WD, Klaver CC, van Duijn CM, Jansonius NM, Bergen AA. The vast complexity of primary open angle glaucoma: Disease genes, risks, molecular mechanisms and pathobiology. Prog Retin Eye Res 2013; 37:31-67. [DOI: 10.1016/j.preteyeres.2013.09.001] [Citation(s) in RCA: 138] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Revised: 07/26/2013] [Accepted: 09/03/2013] [Indexed: 12/21/2022]
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Tu X, Nie S, Liao Y, Zhang H, Fan Q, Xu C, Bai Y, Wang F, Ren X, Tang T, Xia N, Li S, Huang Y, Liu J, Yang Q, Zhao Y, Lv Q, Li Q, Li Y, Xia Y, Qian J, Li B, Wu G, Wu Y, Yang Y, Wang QK, Cheng X. The IL-33-ST2L pathway is associated with coronary artery disease in a Chinese Han population. Am J Hum Genet 2013; 93:652-60. [PMID: 24075188 DOI: 10.1016/j.ajhg.2013.08.009] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2013] [Revised: 08/02/2013] [Accepted: 08/13/2013] [Indexed: 12/20/2022] Open
Abstract
The effects of interleukin-33 (IL-33) on the immune system have been clearly demonstrated; however, in cardiovascular diseases, especially in coronary artery disease (CAD), these effects have not yet been clarified. In this study, we investigate the genetic role of the IL-33-ST2L pathway in CAD. We performed three-stage case-control association analyses on a total of 4,521 individuals with CAD and 4,809 controls via tag SNPs in the genes encoding IL-33 and ST2L-IL-1RL1. One tag SNP in each gene was significantly associated with CAD (rs7025417(T) in IL33, padj = 1.19 × 10(-28), OR = 1.39, 95% CI: 1.31-1.47; rs11685424(G) in IL1RL1, padj = 6.93 × 10(-30), OR = 1.40, 95% CI: 1.32-1.48). Combining significant variants in two genes, the risk for CAD increased nearly 5-fold (padj = 8.90 × 10(-21), OR = 4.98, 95% CI: 3.56-6.97). Traditional risk factors for CAD were adjusted for the association studies by SPSS with logistic regression analysis. With the two variants above, both located within the gene promoter regions, reporter gene analysis indicated that the rs7025417 C>T and rs11685424 A>G changes resulted in altered regulation of IL33 and IL1RL1 gene expression, respectively (p < 0.005). Further studies revealed that the rs7025417 genotype was significantly associated with plasma IL-33 levels in the detectable subjects (n = 227, R(2) = 0.276, p = 1.77 × 10(-17)): the level of IL-33 protein increased with the number of rs7025417 risk (T) alleles. Based on genetic evidence in humans, the IL-33-ST2L pathway appears to have a causal role in the development of CAD, highlighting this pathway as a valuable target for the prevention and treatment of CAD.
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Affiliation(s)
- Xin Tu
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, China
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Abstract
PURPOSE OF REVIEW Since 2007, genome-wide association studies (GWAS) have led to the identification of numerous loci of atherosclerotic cardiovascular disease. The majority of these loci harbor genes previously not known to be involved in atherogenesis. In this review, we summarize the recent progress in understanding the pathophysiology of genetic variants in atherosclerosis. RECENT FINDINGS Fifty-eight loci with P < 10⁻⁷ have been identified in GWAS for coronary heart disease and myocardial infarction. Of these, 23 loci (40%) overlap with GWAS loci of classical risk factors such as lipids, blood pressure, and diabetes mellitus, suggesting a potential causal relation. The vast majority of the remaining 35 loci (60%) are at genomic regions where the mechanism in atherogenesis is unclear. Loci most frequently found in independent GWAS were at Chr9p21.3 (ANRIL/CDKN2B-AS1), Chr6p24.1 (PHACTR1), and Chr1p13.3 (CELSR2, PSRC1, MYBPHL, SORT1). Recent work suggests that Chr9p21.3 exerts its effects through epigenetic regulation of target genes, whereas mechanisms at Chr6p24.1 remain obscure, and Chr1p13.3 affects plasma LDL cholesterol. SUMMARY Novel GWAS loci indicate that our understanding of atherosclerosis is limited and implicate a role of hitherto unknown mechanisms, such as epigenetic gene regulation in atherogenesis.
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Affiliation(s)
- Lesca M Holdt
- Institute of Laboratory Medicine, University Hospital Munich-LMU and Ludwig-Maximilians-University Munich, Munich, Germany
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Vargas-Alarcón G, Posadas-Romero C, Villarreal-Molina T, Alvarez-León E, Angeles J, Vallejo M, Posadas-Sánchez R, Cardoso G, Medina-Urrutia A, Kimura-Hayama E. Single nucleotide polymorphisms within LIPA (Lysosomal Acid Lipase A) gene are associated with susceptibility to premature coronary artery disease. a replication in the genetic of atherosclerotic disease (GEA) Mexican study. PLoS One 2013; 8:e74703. [PMID: 24069331 PMCID: PMC3775807 DOI: 10.1371/journal.pone.0074703] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Accepted: 08/05/2013] [Indexed: 12/30/2022] Open
Abstract
AIM The rs1412444 and rs2246833 polymorphisms within the LIPA gene were recently found to be significantly associated with coronary artery disease (CAD) in genome-wide association studies in Caucasian and Asian populations. The aim of the present study was to replicate this association in an independent population with a different genetic background. METHODS The rs1412444 and rs2246833 polymorphisms of the LIPA gene were genotyped by 5' exonuclease TaqMan genotyping assays in a sample of 899 Mexican patients with premature CAD, 270 individuals with subclinical atherosclerosis, and 677 healthy unrelated controls. Haplotypes were constructed after linkage disequilibrium analysis. RESULTS Under recessive and additive models, the rs1412444 T and rs2246833 T alleles were associated with an increased risk of premature CAD when compared to controls adjusting for age, gender, BMI, and total cholesterol (OR = 1.53, PRec = 0.0013 and OR = 1.34, PAdd = 5 × 10(-4) for rs1412444 and OR = 1.45, PRec = 0.0039 and OR = 1.28, PAdd = 0.0023 for rs2246833). The effect of the two polymorphisms on various metabolic cardiovascular risk factors was analyzed in premature CAD and controls (CAC score = 0). The T alleles in both polymorphisms after adjusting for age, gender, BMI, and medication were associated with hypo-α-lipoproteinemia, hypercholesterolemia, hypertriglyceridemia, metabolic syndrome, and type 2 diabetes mellitus using recessive and additive models. The polymorphisms were in strong linkage disequilibrium and, based on SNP functional prediction software, only the rs1412444 polymorphism seemed to be functional. CONCLUSIONS These results indicate that the rs1412444 and rs2246833 of the LIPA gene are shared susceptibility polymorphisms for CAD among different ethnicities.
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Affiliation(s)
- Gilberto Vargas-Alarcón
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
- * E-mail:
| | - Carlos Posadas-Romero
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
| | - Teresa Villarreal-Molina
- Cardiovascular Genomics Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Edith Alvarez-León
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
| | - Javier Angeles
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
| | - Maite Vallejo
- Sociomedical Department, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
| | | | - Guillermo Cardoso
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
| | - Aida Medina-Urrutia
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
| | - Eric Kimura-Hayama
- Department of Tomography, Instituto Nacional de Cardiología Ignacio, Chávez, Mexico City, Mexico
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247
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Meta-analysis identifies robust association between SNP rs17465637 in MIA3 on chromosome 1q41 and coronary artery disease. Atherosclerosis 2013; 231:136-40. [PMID: 24125424 DOI: 10.1016/j.atherosclerosis.2013.08.031] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2013] [Revised: 08/18/2013] [Accepted: 08/26/2013] [Indexed: 12/20/2022]
Abstract
Several large-scale meta-GWAS identified significant association between SNP rs17465637 in the MIA3 gene and coronary artery disease (CAD) in the European ancestry populations. However, three follow-up replication studies in the Chinese populations yielded inconsistent results. In order to unequivocally determine whether SNP rs17465637 is associated with CAD, we performed an independent case control association study in the Chinese Han population and a follow-up large scale meta-analysis for SNP rs17465637. Our study included 2503 CAD patients and 2920 non-CAD controls of the Chinese Han origin. A significant association was found between SNP rs17465637 and CAD (P = 0.01, OR = 1.11). Meta-analysis included 7263 CAD patients and 8347 controls combined from five Asian populations. The association between SNP rs17465637 and CAD became highly significant (P = 4.97 × 10(-5), OR = 1.11). Similar analysis also identified significant association between SNP rs17465637 and MI (2424 cases vs. 6,536controls; P = 5.00 × 10(-3), OR = 1.10). We conclude that SNP rs17465637 in MIA3 is indeed a genetic risk factor for CAD across different ethnic populations.
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248
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Carlson CS, Matise TC, North KE, Haiman CA, Fesinmeyer MD, Buyske S, Schumacher FR, Peters U, Franceschini N, Ritchie MD, Duggan DJ, Spencer KL, Dumitrescu L, Eaton CB, Thomas F, Young A, Carty C, Heiss G, Le Marchand L, Crawford DC, Hindorff LA, Kooperberg CL, for the PAGE Consortium. Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. PLoS Biol 2013; 11:e1001661. [PMID: 24068893 PMCID: PMC3775722 DOI: 10.1371/journal.pbio.1001661] [Citation(s) in RCA: 169] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2013] [Accepted: 08/08/2013] [Indexed: 01/12/2023] Open
Abstract
The vast majority of genome-wide association study (GWAS) findings reported to date are from populations with European Ancestry (EA), and it is not yet clear how broadly the genetic associations described will generalize to populations of diverse ancestry. The Population Architecture Using Genomics and Epidemiology (PAGE) study is a consortium of multi-ancestry, population-based studies formed with the objective of refining our understanding of the genetic architecture of common traits emerging from GWAS. In the present analysis of five common diseases and traits, including body mass index, type 2 diabetes, and lipid levels, we compare direction and magnitude of effects for GWAS-identified variants in multiple non-EA populations against EA findings. We demonstrate that, in all populations analyzed, a significant majority of GWAS-identified variants have allelic associations in the same direction as in EA, with none showing a statistically significant effect in the opposite direction, after adjustment for multiple testing. However, 25% of tagSNPs identified in EA GWAS have significantly different effect sizes in at least one non-EA population, and these differential effects were most frequent in African Americans where all differential effects were diluted toward the null. We demonstrate that differential LD between tagSNPs and functional variants within populations contributes significantly to dilute effect sizes in this population. Although most variants identified from GWAS in EA populations generalize to all non-EA populations assessed, genetic models derived from GWAS findings in EA may generate spurious results in non-EA populations due to differential effect sizes. Regardless of the origin of the differential effects, caution should be exercised in applying any genetic risk prediction model based on tagSNPs outside of the ancestry group in which it was derived. Models based directly on functional variation may generalize more robustly, but the identification of functional variants remains challenging.
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Affiliation(s)
- Christopher S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Tara C. Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Kari E. North
- Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Megan D. Fesinmeyer
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, United States of America
| | - Steven Buyske
- Department of Statistics & Biostatistics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Fredrick R. Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Nora Franceschini
- Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Marylyn D. Ritchie
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - David J. Duggan
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Kylee L. Spencer
- Department of Biology & Environmental Science at Heidelberg University, Tiffin, Ohio, United States of America
| | - Logan Dumitrescu
- Department of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Charles B. Eaton
- Department of Family Medicine, Brown University, Pawtucket, Rhode Island, United States of America
| | - Fridtjof Thomas
- Division of Biostatistics & Epidemiology, Department of Preventive Medicine, College of Medicine, The University of Tennessee Healthy Science Center, Memphis, Tennessee, United States of America
| | - Alicia Young
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Cara Carty
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Gerardo Heiss
- Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Dana C. Crawford
- Department of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Charles L. Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
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Abstract
PURPOSE OF REVIEW Recent genome-wide association studies (GWAS) have revealed that the ATP2B1 gene is associated with hypertension not only in people of European origin, but also in Japanese, Chinese, and Koreans. However, ATP2B1 has never been considered to be a candidate gene for essential hypertension. Thus, this review summarizes the findings obtained in GWAS regarding the role of the ATP2B1 gene in essential hypertension, as well as recent suggestions about the mechanisms responsible for the effects of the ATP2B1 gene on calcium homeostasis. We also review the findings of studies involving spontaneously hypertensive rats and tissue-specific ATP2B1 knockout mice examining the effects of ATP2B1 on hypertension. RECENT FINDINGS The ATP2B1 gene has been revealed to be a hypertension-susceptibility gene in large-scale GWAS studies. Meta-analysis of the ATP2B1 gene polymorphisms associated with hypertension confirmed that ATP2B1 is significantly associated with hypertension in East Asians. Moreover, vascular smooth muscle cell ATP2B1 knockout mice exhibited high blood pressure in radio telemetry-based experiments. SUMMARY The ATP2B1 gene has been demonstrated to have a strong influence on blood pressure. Detailed analysis of tissue-specific knockout mice is expected to further confirm the role of ATP2B1 in the near future.
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250
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Miller CL, Anderson DR, Kundu RK, Raiesdana A, Nürnberg ST, Diaz R, Cheng K, Leeper NJ, Chen CH, Chang IS, Schadt EE, Hsiung CA, Assimes TL, Quertermous T. Disease-related growth factor and embryonic signaling pathways modulate an enhancer of TCF21 expression at the 6q23.2 coronary heart disease locus. PLoS Genet 2013; 9:e1003652. [PMID: 23874238 PMCID: PMC3715442 DOI: 10.1371/journal.pgen.1003652] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2013] [Accepted: 06/04/2013] [Indexed: 11/18/2022] Open
Abstract
Coronary heart disease (CHD) is the leading cause of mortality in both developed and developing countries worldwide. Genome-wide association studies (GWAS) have now identified 46 independent susceptibility loci for CHD, however, the biological and disease-relevant mechanisms for these associations remain elusive. The large-scale meta-analysis of GWAS recently identified in Caucasians a CHD-associated locus at chromosome 6q23.2, a region containing the transcription factor TCF21 gene. TCF21 (Capsulin/Pod1/Epicardin) is a member of the basic-helix-loop-helix (bHLH) transcription factor family, and regulates cell fate decisions and differentiation in the developing coronary vasculature. Herein, we characterize a cis-regulatory mechanism by which the lead polymorphism rs12190287 disrupts an atypical activator protein 1 (AP-1) element, as demonstrated by allele-specific transcriptional regulation, transcription factor binding, and chromatin organization, leading to altered TCF21 expression. Further, this element is shown to mediate signaling through platelet-derived growth factor receptor beta (PDGFR-β) and Wilms tumor 1 (WT1) pathways. A second disease allele identified in East Asians also appears to disrupt an AP-1-like element. Thus, both disease-related growth factor and embryonic signaling pathways may regulate CHD risk through two independent alleles at TCF21.
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Affiliation(s)
- Clint L. Miller
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
- * E-mail: (CLM); (TQ)
| | - D. Ryan Anderson
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Ramendra K. Kundu
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Azad Raiesdana
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Sylvia T. Nürnberg
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Roxanne Diaz
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Karen Cheng
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Nicholas J. Leeper
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
- Department of Surgery, Division of Vascular Surgery, Stanford University School of Medicine, Stanford, California, United States of America
| | - Chung-Hsing Chen
- Division of Biostatistics and Bioinformatics, National Health Research Institutes, Zhunan, Taiwan
| | - I-Shou Chang
- Division of Biostatistics and Bioinformatics, National Health Research Institutes, Zhunan, Taiwan
| | - Eric E. Schadt
- Institute for Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Chao Agnes Hsiung
- Division of Biostatistics and Bioinformatics, National Health Research Institutes, Zhunan, Taiwan
| | - Themistocles L. Assimes
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Thomas Quertermous
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
- * E-mail: (CLM); (TQ)
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