1
|
Dowell JA, Mason C. Candidate pathway association and genome-wide association approaches reveal alternative genetic architectures of carotenoid content in cultivated sunflower ( Helianthus annuus). APPLICATIONS IN PLANT SCIENCES 2023; 11:e11558. [PMID: 38106540 PMCID: PMC10719882 DOI: 10.1002/aps3.11558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 05/10/2023] [Accepted: 05/19/2023] [Indexed: 12/19/2023]
Abstract
Premise The explosion of available genomic data poses significant opportunities and challenges for genome-wide association studies. Current approaches via linear mixed models (LMM) are straightforward but prevent flexible assumptions of an a priori genomic architecture, while Bayesian sparse LMMs (BSLMMs) allow this flexibility. Complex traits, such as specialized metabolites, are subject to various hierarchical effects, including gene regulation, enzyme efficiency, and the availability of reactants. Methods To identify alternative genetic architectures, we examined the genetic architecture underlying the carotenoid content of an association mapping panel of Helianthus annuus individuals using multiple BSLMM and LMM frameworks. Results The LMMs of genome-wide single-nucleotide polymorphisms (SNPs) identified a single transcription factor responsible for the observed variations in the carotenoid content; however, a BSLMM of the SNPs with the bottom 1% of effect sizes from the results of the LMM identified multiple biologically relevant quantitative trait loci (QTLs) for carotenoid content external to the known (annotated) carotenoid pathway. A candidate pathway analysis (CPA) suggested a β-carotene isomerase to be the enzyme with the highest impact on the observed carotenoid content within the carotenoid pathway. Discussion While traditional LMM approaches suggested a single unknown transcription factor associated with carotenoid content variation in sunflower petals, BSLMM proposed several QTLs with interpretable biological relevance to this trait. In addition, the CPA allowed for the dissection of the regulatory vs. biosynthetic genetic architectures underlying this metabolic trait.
Collapse
Affiliation(s)
- Jordan A. Dowell
- Department of Plant SciencesUniversity of CaliforniaDavisCalifornia95616USA
- Present address:
Department of Biological SciencesLouisiana State UniversityBaton RougeLouisiana70803USA
| | - Chase Mason
- Department of BiologyUniversity of Central FloridaOrlandoFlorida32816USA
| |
Collapse
|
2
|
The Role of Genetic Factors in the Development of Acute Respiratory Viral Infection COVID-19: Predicting Severe Course and Outcomes. Biomedicines 2022; 10:biomedicines10030549. [PMID: 35327350 PMCID: PMC8945420 DOI: 10.3390/biomedicines10030549] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/11/2022] [Accepted: 02/16/2022] [Indexed: 12/14/2022] Open
Abstract
The aim of this study was to identify single nucleotide variants in genes associated with susceptibility to or severe outcomes of COVID-19. A total of 319 genomic DNA samples from patients with varying degrees of disease severity and 78 control DNA samples from people who had regular or prolonged contact with patients with COVID-19 but did not have clinical manifestations and/or antibodies to SARS-CoV-2. Seven SNPs were identified that were statistically associated with disease risk or severe course, rs1799864 in the CCR2 gene (OR = 2.21), rs1990760 in the IFIH1 gene (OR = 2.41), rs1800629 in the TNF gene (OR = 1.98), rs75603675 in the TMPRSS2 gene (OR = 1.86), rs7842 in the C3AR1 gene (OR = 2.08), rs179008 in the gene TLR7 (OR = 1.85), rs324011 in the C3AR1 gene (OR = 2.08), rs179008 in the TLR7 gene (OR = 1.85), and rs324011 in the STAT6 gene (OR = 1.84), as well as two variants associated with protection from COVID-19, rs744166 in the STAT3 gene (OR = 0.36) and rs1898830 in the TLR2 gene (OR = 0.47). The genotype in the region of these markers can be the criterion of the therapeutic approach for patients with COVID-19.
Collapse
|
3
|
Wang P, Wang Y, Peng H, Wang J, Zheng Q, Wang P, Wang J, Zhang H, Huang Y, Xiong L, Zhang R, Xia Y, Wang QK, Xu C. Functional rare variant in a C/EBP beta binding site in NINJ2 gene increases the risk of coronary artery disease. Aging (Albany NY) 2021; 13:25393-25407. [PMID: 34897030 PMCID: PMC8714150 DOI: 10.18632/aging.203755] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 11/11/2021] [Indexed: 11/26/2022]
Abstract
Objective: NINJ2 regulates activation of vascular endothelial cells, and genome-wide association studies showed that variants in NINJ2 confer risk to stroke. However, whether variants in NINJ2 are associated with coronary artery disease (CAD) is unknown. Methods: We genotyped rs34166160 in NINJ2 in two independent Chinese GeneID populations which included 2,794 CAD cases and 4,131 controls, and performed genetics association studies. Functional studies were also performed to reveal the mechanisms. Results: Allele rs34166160 significantly confers risk to CAD in the GeneID Hubei population which contained 1,440 CAD cases and 2,660 CAD-free controls (observed P-obs = 6.39 × 10−3 with an odds ratio (OR) was 3.39, adjusted P-adj = 8.12 × 10−3 with an OR of 3.10). The association was replicated in another population, GeneID Shandong population contained 1,354 CAD cases and 1,471 controls (P-obs = 3.33 × 10−3 with an OR of 3.14, P-adj = 0.01 with an OR of 2.74). After combining the two populations, the association was more significant (P-obs = 1.57 × 10−5 with an OR of 3.58, P-adj = 3.41 × 10−4 with an OR of 2.80). In addition, we found that rs34166160 was associated with the mRNA expression level of NINJ2 and the flanking region of rs34166160 can directly bind with transcriptional factor CCAAT-box/enhancer-binding protein beta, and the risk A allele has more transcription activity than non-risk C allele with or without LPS in HUVEC cells. Conclusions: Our study demonstrates that the functional rare variant rs34166160 in NINJ2 confers risk to CAD for the first time, and these findings further expand the range of the pathology of CAD and atherosclerosis.
Collapse
Affiliation(s)
- Pengyun Wang
- Department of Clinical Laboratory, Liyuan Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Yifan Wang
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| | - Huixin Peng
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| | - Jingjing Wang
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, PR China
| | - Qian Zheng
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| | - Pengxia Wang
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| | - Jing Wang
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| | - Hongfu Zhang
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| | - Yufeng Huang
- Precision Medical Laboratory, Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Huazhong University of Science and Technology, Wuhan, PR China
| | - Liang Xiong
- Department of Clinical Laboratory, Liyuan Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Rongfeng Zhang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, PR China
| | - Yunlong Xia
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, PR China
| | - Qing K Wang
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| | - Chengqi Xu
- Human Genome Research Center, Cardio-X Institute, College of Life Science and Technology of Huazhong University of Science and Technology, Wuhan, PR China
| |
Collapse
|
4
|
Luo C, Tang B, Qin S, Yuan C, Du Y, Yang J. GATA2 regulates the CAD susceptibility gene ADTRP rs6903956 through preferential interaction with the G allele. Mol Genet Genomics 2021; 296:799-808. [PMID: 33856550 DOI: 10.1007/s00438-021-01782-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 03/29/2021] [Indexed: 02/06/2023]
Abstract
Myocardial infarction (MI) is a frequent outcome of coronary artery disease (CAD) and the key factor contributing to worldwide disability and death. Genetic factors contribute to the pathogenesis of CAD/MI, and SNP rs6903956 in the ADTRP gene was first found associated with CAD/MI in the Chinese Han population, which was successfully replicated in other cohorts. However, whether rs6903956 is a functional SNP and its risk mechanism to CAD/MI remains unknown. The ADTRP gene-encoded androgen-dependent TFPI regulating protein regulates vascular endothelial cell function, endothelial-monocyte adhesion, and thrombosis. The allele A of rs6903956, in particular, is associated with lower ADTRP mRNA levels in lymphocytes. In the current study, we found that SNP rs6903956 exhibits allelic differences in transcriptional activity by interacting with GATA2. Also, the A allele conferred a greater risk of CAD and MI, lowered transcriptional activity, and GATA2 binding ability as compared to the G allele. Our findings provide details on how rs6903956 regulates the expression of ADTRP and may provide novel insights into CAD pathology and susceptibility.
Collapse
Affiliation(s)
- Chunyan Luo
- Department of Microbiology and Immunology, Medical College, China Three Gorges University, No.8, Da Xue Road, Yichang, 443002, Hubei Province, People's Republic of China. .,The Institute of Infection and Inflammation, China Three Gorges University, Yichang, 443002, Hubei, China.
| | - Bo Tang
- Department of Pharmacology, Institute of Material Medical, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Subo Qin
- Key Laboratory of Molecular Biophysics of the 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
| | - Chengfu Yuan
- Department of Biochemistry, China Three Gorges University, Yichang, 443002, Hubei, China
| | - Youqin Du
- Department of Microbiology and Immunology, Medical College, China Three Gorges University, No.8, Da Xue Road, Yichang, 443002, Hubei Province, People's Republic of China
| | - Jian Yang
- Department of Cardiology, The People's Hospital of China Three Gorges University, Yichang, 443000, Hubei Province, China.
| |
Collapse
|
5
|
Luo C, Wang D, Huang W, Song Y, Ge L, Zhang X, Yang L, Lu J, Tu X, Chen Q, Yang J, Xu C, Wang Q. Feedback regulation of coronary artery disease susceptibility gene ADTRP and LDL receptors LDLR/CD36/LOX-1 in endothelia cell functions involved in atherosclerosis. Biochim Biophys Acta Mol Basis Dis 2021; 1867:166130. [PMID: 33746034 DOI: 10.1016/j.bbadis.2021.166130] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 03/05/2021] [Accepted: 03/14/2021] [Indexed: 12/11/2022]
Abstract
A high level of low-density lipoprotein cholesterol (LDL) is one of the most important risk factors for coronary artery disease (CAD), the leading cause of death worldwide. However, a low concentration of LDL may be protective. Genome-wide association studies revealed that variation in ADTRP gene increased the risk of CAD. In this study, we found that a low concentration of oxidized-LDL induced the expression of ADTRP. Further analyses showed that knockdown of the expression of LDL receptor genes LDLR, CD36, or LOX-1 significantly downregulated ADTRP expression, whereas overexpression of LDLR/CD36/LOX-1 markedly increased ADTRP expression through the NF-κB pathway. Like ADTRP, LDLR, CD36 and LOX-1 were all involved in endothelial cell (EC) functions relevant to the initiation of atherosclerosis. Downregulation of LDLR/CD36/LOX-1 promoted monocyte adhesion to ECs and transendothelial migration of monocytes by increasing expression of ICAM-1, VCAM-1, E-selectin and P-selectin, decreased EC proliferation and migration, and increased EC apoptosis, thereby promoting the initiation of atherosclerosis. Opposite effects were observed with the overexpression of ADTRP and LDLR/CD36/LOX-1 in ECs. Interestingly, through the NF-κB and AKT pathways, overexpression of ADTRP significantly upregulated the expression of LDLR, CD36, and LOX-1, and knockdown of ADTRP expression significantly downregulated the expression of LDLR, CD36, and LOX-1. These data suggest that ADTRP and LDL receptors LDLR/CD36/LOX-1 positively regulate each other, and form a positive regulatory loop that regulates endothelial cell functions, thereby providing a potential protective mechanism against atherosclerosis. Our findings provide a new molecular mechanism by which deregulation of ADTRP and LDLR/CD36/LOX-1 promote the development of atherosclerosis and CAD.
Collapse
Affiliation(s)
- Chunyan Luo
- Department of Microbiology and Immunology, Medical College, China Three Gorges University, Yichang 443002, Hubei, PR China; The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China; Key Laboratory of Molecular Biophysics of the 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, Hubei, PR China
| | - Decheng Wang
- Department of Microbiology and Immunology, Medical College, China Three Gorges University, Yichang 443002, Hubei, PR China; The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Weifeng Huang
- Department of Microbiology and Immunology, Medical College, China Three Gorges University, Yichang 443002, Hubei, PR China; The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Yinhong Song
- Department of Microbiology and Immunology, Medical College, China Three Gorges University, Yichang 443002, Hubei, PR China; The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Lisha Ge
- The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Xinyue Zhang
- The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Lixue Yang
- The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Jiao Lu
- The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Xiancong Tu
- The Institute of Infection and Inflammation, China Three Gorges University, Yichang 443002, Hubei, PR China
| | - Qiuyun Chen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Jian Yang
- Department of Cardiology, the People's Hospital of China Three Gorges University, Yichang 443000, Hubei, PR China.
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the 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, Hubei, PR China.
| | - Qing Wang
- Key Laboratory of Molecular Biophysics of the 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, Hubei, PR China.
| |
Collapse
|
6
|
Wang P, Cheng M, Wang P, Xiong L, Zeng Y, Tu X, Zhang R, Xia Y, Wu G, Wang Q, Cheng X, Xu C. SNP rs2243828 in MPO associated with myeloperoxidase level and atrial fibrillation risk in Chinese Han population. J Cell Mol Med 2021; 24:10263-10266. [PMID: 33460291 PMCID: PMC7520285 DOI: 10.1111/jcmm.15644] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 06/10/2020] [Accepted: 06/29/2020] [Indexed: 12/01/2022] Open
Abstract
Previous studies shown that myeloperoxidase (MPO) level is higher in patients with atrial fibrillation (AF); however, no genetic evidence between MPO and AF risk in human population was observed. Therefore, the present study was aimed to investigate the association between rs2243828, a variant in promoter region of MPO and the risk of AF in Chinese GeneID population. The results demonstrated that the minor G allele of rs2243828 showed a significant association with AF in two independent population (GeneID‐north population with 694 AF cases and 710 controls, adjusted P‐adj = 6.25 × 10−3 with an odds ratio was 0.77, GeneID‐central population with 1106 cases and 1501 controls, P‐adj = 9.88 × 10−5 with an odds ratio was 0.75). The results also showed G allele was significantly associated with lower plasma concentration of myeloperoxidase in general population. We also observed a significant difference of odds ratio between subgroups of hypertension and non‐hypertension. Therefore, our findings identified variant in MPO associated with risk of AF and it may give strong evidence to link the inflammation with the incidence of AF.
Collapse
Affiliation(s)
- Pengyun Wang
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mian Cheng
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pengxia Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research and Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Liang Xiong
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yali Zeng
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research and Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Rongfeng Zhang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yunlong Xia
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Gang Wu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qing Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research and Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China.,Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, OH, USA.,Department of Molecular Medicine, CCLCM, Cleveland, OH, USA.,Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Xiang Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research and Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
7
|
Propson NE, Gedam M, Zheng H. Complement in Neurologic Disease. ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE 2020; 16:277-298. [PMID: 33234021 DOI: 10.1146/annurev-pathol-031620-113409] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Classic innate immune signaling pathways provide most of the immune response in the brain. This response activates many of the canonical signaling mechanisms identified in peripheral immune cells, despite their relative absence in this immune-privileged tissue. Studies over the past decade have strongly linked complement protein production and activation to age-related functional changes and neurodegeneration. The reactivation of the complement signaling pathway in aging and disease has opened new avenues for understanding brain aging and neurological disease pathogenesis and has implicated cell types such as astrocytes, microglia, endothelial cells, oligodendrocytes, neurons, and even peripheral immune cells in these processes. In this review, we aim to unravel the past decade of research related to complement activation and its numerous consequences in aging and neurological disease.
Collapse
Affiliation(s)
- Nicholas E Propson
- Huffington Center on Aging, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Manasee Gedam
- Huffington Center on Aging, Baylor College of Medicine, Houston, Texas 77030, USA.,Interdepartmental Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Hui Zheng
- Huffington Center on Aging, Baylor College of Medicine, Houston, Texas 77030, USA.,Interdepartmental Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA;
| |
Collapse
|
8
|
Luo C, Pook E, Wang F, Archacki SR, Tang B, Zhang W, Hu JS, Yang J, Leineweber K, Bechem M, Huang W, Song Y, Cheung SH, Laux V, Ke T, Ren X, Tu X, Chen Q, Wang QK, Xu C. ADTRP regulates TFPI expression via transcription factor POU1F1 involved in coronary artery disease. Gene 2020; 753:144805. [PMID: 32445923 DOI: 10.1016/j.gene.2020.144805] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 05/15/2020] [Accepted: 05/20/2020] [Indexed: 12/18/2022]
Abstract
Genomic variants in both ADTRP and TFPI genes are associated with risk of coronary artery disease (CAD). ADTRP regulates TFPI expression and endothelial cell functions involved in the initiation of atherosclerotic CAD. ADTRP also specifies primitive myelopoiesis and definitive hematopoiesis by upregulating TFPI expression. However, the underlying molecular mechanism is unknown. Here we show that transcription factor POU1F1 is the key by which ADTRP regulates TFPI expression. Luciferase reporter assays, chromatin-immunoprecipitation (ChIP) and electrophoretic mobility shift assay (EMSA) in combination with analysis of large and small deletions of the TFPI promoter/regulatory region were used to identify the molecular mechanism by which ADTRP regulates TFPI expression. Genetic association was assessed using case-control association analysis and phenome-wide association analysis (PhenGWA). ADTRP regulates TFPI expression at the transcription level in a dose-dependent manner. The ADTRP-response element was localized to a 50 bp region between -806 bp and -756 bp upstream of TFPI transcription start site, which contains a binding site for POU1F1. Deletion of POU1F1-binding site or knockdown of POU1F1 expression abolished ADTRP-mediated transcription of TFPI. ChIP and EMSA demonstrated that POU1F1 binds to the ADTRP response element. Genetic analysis identified significant association between POU1F1 variants and risk of CAD. PhenGWA identified other phenotypic traits associated with the ADTRP-POU1F1-TFPI axis such as lymphocyte count (ADTRP), waist circumference (TFPI), and standing height (POU1F1). These data identify POU1F1 as a transcription factor that regulates TFPI transcription in response to ADTRP, and link POU1F1 variants to risk of CAD for the first time.
Collapse
Affiliation(s)
- Chunyan Luo
- The Institute of Infection and Inflammation, Department of Microbiology and Immunology, Medical College, Key Laboratory of Ischemic Cardiovascular and Cerebrovascular Disease Translational Medicine, China Three Gorges University, Yichang, Hubei 443002, PR China; Key Laboratory of Molecular Biophysics of the 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, PR China
| | | | - Fan Wang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Stephen R Archacki
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Bo Tang
- Key Laboratory of Molecular Biophysics of the 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, PR China
| | - Weiyi Zhang
- Bayer Healthcare Co Ltd, Innovation Center China, Beijing, PR China
| | - Jing-Shan Hu
- Bayer Healthcare Co Ltd, Innovation Center China, Beijing, PR China
| | - Jian Yang
- The Institute of Infection and Inflammation, Department of Microbiology and Immunology, Medical College, Key Laboratory of Ischemic Cardiovascular and Cerebrovascular Disease Translational Medicine, China Three Gorges University, Yichang, Hubei 443002, PR China
| | | | | | - Weifeng Huang
- The Institute of Infection and Inflammation, Department of Microbiology and Immunology, Medical College, Key Laboratory of Ischemic Cardiovascular and Cerebrovascular Disease Translational Medicine, China Three Gorges University, Yichang, Hubei 443002, PR China
| | - Yinhong Song
- The Institute of Infection and Inflammation, Department of Microbiology and Immunology, Medical College, Key Laboratory of Ischemic Cardiovascular and Cerebrovascular Disease Translational Medicine, China Three Gorges University, Yichang, Hubei 443002, PR China
| | - Shing-Hu Cheung
- Bayer Healthcare Co Ltd, Innovation Center China, Beijing, PR China
| | - Volker Laux
- BayerAG, Drug Discovery, 42096 Wuppertal, Germany
| | - Tie Ke
- Key Laboratory of Molecular Biophysics of the 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, PR China
| | - Xiang Ren
- Key Laboratory of Molecular Biophysics of the 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, PR China
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the 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, PR China
| | - Qiuyun Chen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44195, USA.
| | - Qing Kenneth Wang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44195, USA.
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the 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, PR China.
| |
Collapse
|
9
|
Wang XB, Cui NH, Zhang S, Liu ZJ, Ma JF, Ming L. Leukocyte telomere length, mitochondrial DNA copy number, and coronary artery disease risk and severity: A two-stage case-control study of 3064 Chinese subjects. Atherosclerosis 2019; 284:165-172. [DOI: 10.1016/j.atherosclerosis.2019.03.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 03/03/2019] [Accepted: 03/12/2019] [Indexed: 01/29/2023]
|
10
|
Yang Q, Xiong H, Xu C, Huang Y, Tu X, Wu G, Fu F, Wang Z, Wang L, Zhao Y, Li S, Huang Y, Wang C, Wang D, Yao Y, Wang F, Wang Y, Xue Y, Wang P, Chen Q, Pu J, Wang QK. Identification of rare variants in cardiac sodium channel β4-subunit gene SCN4B associated with ventricular tachycardia. Mol Genet Genomics 2019; 294:1059-1071. [PMID: 31020414 DOI: 10.1007/s00438-019-01567-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 04/10/2019] [Indexed: 12/19/2022]
Abstract
Ventricular tachycardia (VT) causes sudden cardiac death, however, the majority of risk genes for VT remain unknown. SCN4B encodes a β-subunit, Navβ4, for the voltage-gated cardiac sodium channel complex involved in generation and conduction of the cardiac action potential. We hypothesized that genomic variants in SCN4B increase the risk of VT. We used high-resolution melt analysis followed by Sanger sequencing to screen 199 VT patients to identify nonsynonymous variants in SCN4B. Two nonsynonymous heterozygous variants in SCN4B were identified in VT patients, including p.Gly8Ser in four VT patients and p.Ala145Ser in one VT patient. Case-control association studies were used to assess the association between variant p.Gly8Ser and VT in two independent populations for VT (299 VT cases vs. 981 controls in population 1 and 270 VT patients vs. 639 controls in population 2). Significant association was identified between p.Gly8Ser and VT in population 1 (P = 1.21 × 10-4, odds ratio or OR = 11.04), and the finding was confirmed in population 2 (P = 0.03, OR = 3.62). The association remained highly significant in the combined population (P = 3.09 × 10-5, OR = 6.17). Significant association was also identified between p.Gly8Ser and idiopathic VT (P = 1.89 × 10-5, OR = 7.27). Functional analysis with Western blotting showed that both p.Gly8Ser and p.Ala145Ser variants significantly reduced the expression level of Navβ4. Based on 2015 ACMG Standards and Guidelines, p.Gly8Ser and p.Ala145Ser can be classified as the pathogenic and likely pathogenic variant, respectively. Our data suggest that SCN4B is a susceptibility gene for common VT and idiopathic VT and link rare SCN4B variants with large effects (OR = 6.17-7.27) to common VT.
Collapse
Affiliation(s)
- Qin Yang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.,Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Hongbo Xiong
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Yuan Huang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Gang Wu
- Renmin Hospital, Wuhan University, Wuhan, People's Republic of China
| | - Fenfen Fu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Zhijie Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Longfei Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Yuanyuan Zhao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Yufeng Huang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Chuchu Wang
- School of Life Sciences, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, People's Republic of China
| | - Dan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Yufeng Yao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Fan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Yongbo Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Yu Xue
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Pengyun Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China
| | - Qiuyun Chen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44195, USA. .,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, 44195, USA.
| | - Jielin Pu
- Department of Cardiology, East Hospital, Tongji University, Shanghai, Beijing, 100037, People's Republic of China. .,Tongji University Affiliated East Hospital, Beijing, 100037, People's Republic of China.
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China. .,Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44195, USA. .,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, 44195, USA. .,Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA.
| |
Collapse
|
11
|
Xiong H, Yang Q, Zhang X, Wang P, Chen F, Liu Y, Wang P, Zhao Y, Li S, Huang Y, Chen S, Wang X, Zhang H, Yu D, Tan C, Fang C, Huang Y, Wu G, Wu Y, Cheng X, Liao Y, Zhang R, Yang Y, Ke T, Ren X, Li H, Tu X, Xia Y, Xu C, Chen Q, Wang QK. Significant association of rare variant p.Gly8Ser in cardiac sodium channel β4-subunit SCN4B with atrial fibrillation. Ann Hum Genet 2019; 83:239-248. [PMID: 30821358 DOI: 10.1111/ahg.12305] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 02/07/2019] [Accepted: 02/12/2019] [Indexed: 12/30/2022]
Abstract
Atrial fibrillation (AF) affects 33.5 million individuals worldwide. It accounts for 15% of strokes and increases risk of heart failure and sudden death. The voltage-gated cardiac sodium channel complex is responsible for the generation and conduction of the cardiac action potential, and composed of the main pore-forming α-subunit Nav 1.5 (encoded by the SCN5A gene) and one or more auxiliary β-subunits, including Nav β1 to Nav β4 encoded by SCN1B to SCN4B, respectively. We and others identified loss-of-function mutations in SCN1B and SCN2B and dominant-negative mutations in SCN3B in patients with AF. Three missense variants in SCN4B were identified in sporadic AF patients and small nuclear families; however, the association between SCN4B variants and AF remains to be further defined. In this study, we performed mutational analysis in SCN4B using a panel of 477 AF patients, and identified one nonsynonymous genomic variant p.Gly8Ser in four patients. To assess the association between the p.Gly8Ser variant and AF, we carried out case-control association studies with two independent populations (944 AF patients vs. 9,81 non-AF controls in the first discovery population and 732 cases and 1,291 controls in the second replication population). Significant association was identified in the two independent populations and in the combined population (p = 4.16 × 10-4 , odds ratio [OR] = 3.14) between p.Gly8Ser and common AF as well as lone AF (p = 0.018, OR = 2.85). These data suggest that rare variant p.Gly8Ser of SCN4B confers a significant risk of AF, and SCN4B is a candidate susceptibility gene for AF.
Collapse
Affiliation(s)
- Hongbo Xiong
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Yang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoping Zhang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Pengxia Wang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Feifei Chen
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ying Liu
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Pengyun Wang
- Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Zhao
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Sisi Li
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Yufeng Huang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Shanshan Chen
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaojing Wang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Hongfu Zhang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Dong Yu
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Chencheng Tan
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Cheng Fang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Yuan Huang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Wu
- Department of Cardiology, People's Hospital, Wuhan University, Wuhan, China
| | - Yanxia Wu
- Department of Cardiology, the First Affiliated Hospital of Wuhan City, Wuhan, China
| | - Xiang Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhua Liao
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rongfeng Zhang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yanzong Yang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Tie Ke
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Ren
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Li
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Tu
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Yunlong Xia
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Chengqi Xu
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Qiuyun Chen
- Department of Molecular Cardiology, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Science, Case Western Reserve University, Cleveland, Ohio
| | - Qing K Wang
- The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, China.,Department of Molecular Cardiology, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Science, Case Western Reserve University, Cleveland, Ohio
| |
Collapse
|
12
|
Wang F, Wang IZ, Ellis S, Archacki S, Barnard J, Hubbard C, Topol EJ, Chen Q, Wang QK. Analysis of causal effect of APOA5 variants on premature coronary artery disease. Ann Hum Genet 2018; 82:437-447. [PMID: 30024021 DOI: 10.1111/ahg.12273] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 05/17/2018] [Accepted: 06/18/2018] [Indexed: 11/30/2022]
Abstract
Apolipoprotein A5 (APOA5) regulates the metabolisms of triglyceride and HDL. APOA5 variants have been linked to coronary artery disease (CAD), but their causal roles are not well studied yet. This study aims to identify the causal effects of APOA5 variants on premature CAD. Sequencing analysis of APOA5 in 128 premature, familiar CAD patients from GeneQuest identified 11 genomic variants, including p.S19W (rs3135506). SKAT analysis showed that all sequenced variants, in aggregate, significantly increased the risk of premature CAD (P-skat = 0.037). Individually, the p.S19W variant was significantly associated with risk of premature CAD (OR = 2.30, P = 0.008) in an independent set of 342 premature CAD patients and 537 controls after adjusting for covariates of sex, age, hypertension, body mass index, triglycerides (TGs), and total, LDL-, and HDL-cholesterol levels. Meanwhile, p.S19W significantly correlated with HDL-C levels (P = 0.048) and TG levels (P = 0.025). Mediation analysis yielded a mediation effect of p.S19W on risk of premature CAD through HDL-C (OR = 0.98, P = 0.040) and TG (OR = 0.98, P = 0.042), suggesting a causal relationship between p.S19W and premature CAD partially through its effects on HDL-C and TG levels. These results suggest that APOA5 variation regulates TG and HDL levels, thus displaying a causal role in the development of CAD.
Collapse
Affiliation(s)
- Fan Wang
- Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Department of Genetics and Genome Science, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Isabel Z Wang
- Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Shaker Heights High School, Shaker Heights, OH, USA
| | - Stephen Ellis
- Department of Cardiovascular Medicine, Sydell & Arnold Miller Family Heart & Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Stephen Archacki
- Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Department of Genetics and Genome Science, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - John Barnard
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Carlos Hubbard
- Department of Cardiovascular Medicine, Sydell & Arnold Miller Family Heart & Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Eric J Topol
- Scripps Translational Science Institute, Scripps Research Institute, Scripps Clinic, La Jolla, CA, USA
| | - Qiuyun Chen
- Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Department of Genetics and Genome Science, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Qing K Wang
- Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Department of Genetics and Genome Science, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.,Department of Cardiovascular Medicine, Sydell & Arnold Miller Family Heart & Vascular Institute, Cleveland Clinic, Cleveland, OH, USA.,The Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| |
Collapse
|
13
|
Xiong X, Naji DH, Wang B, Zhao Y, Wang J, Wang D, Zhang Y, Li S, Chen S, Huang Y, Yang Q, Wang X, Yin D, Tu X, Chen Q, Ma X, Xu C, Wang QK. Significant Association between OPG/TNFRSF11B Variant and Common Complex Ischemic Stroke. J Stroke Cerebrovasc Dis 2018; 27:1683-1691. [PMID: 29501268 DOI: 10.1016/j.jstrokecerebrovasdis.2018.01.029] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 01/02/2018] [Accepted: 01/28/2018] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The serum level of osteoprotegerin (encoded by OPG or TNFRSF11B) was previously shown to be increased in patients with ischemic stroke. A single nucleotide polymorphism rs3134069 in the TNFRSF11B gene was previously associated with ischemic stroke in a population of diabetic patients in Italy. It remains to be determined whether rs3134069 is associated with ischemic stroke in the general population or populations without diabetes. MATERIALS AND METHODS We genotyped rs3134069 and performed a case-control association study to test whether rs3134069 is associated with ischemic stroke in 2 independent Chinese Han populations, including a China-Central population with 1629 cases and 1504 controls and a China-Northern population with 1206 cases and 720 controls. RESULTS rs3134069 showed significant association with ischemic stroke in the China-Central population (P = 9.24 × 10-3, odds ratio [OR] = 1.50). The association was replicated in the independent China-Northern population (P = 2.45 × 10-4, OR = 1.53). The association became more significant in the combined population (P = 7.09 × 10-6, OR = 1.41). The associations remained significant in the male population, female population, and population without type 2 diabetes. Our expression quantitative trait loci analysis found that the minor allele C of rs3134069 was significantly associated with a decreasedexpression level of TNFRSF11B (P = .002). CONCLUSIONS This study demonstrates that rs3134069 in TNFRSF11B increases risk of ischemic stroke by decreasing TNFRSF11B expression.
Collapse
Affiliation(s)
- Xin Xiong
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Duraid Hamied Naji
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Binbin Wang
- National Research Institute for Family Planning, Beijing, China
| | - Yuanyuan Zhao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Junhan Wang
- Department of Clinical Laboratory of University Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Yuting Zhang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Shanshan Chen
- Key Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yufeng Huang
- Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Yang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaojing Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Yin
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Qiuyun Chen
- Center for Cardiovascular Genetics, Cleveland Clinic, Cleveland, Ohio; Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China.
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology, Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China; Center for Cardiovascular Genetics, Cleveland Clinic, Cleveland, Ohio; Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio; Department of Molecular Medicine, Case Western Reserve University, Cleveland, Ohio; Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio.
| |
Collapse
|
14
|
Wang P, Qin W, Wang P, Huang Y, Liu Y, Zhang R, Li S, Yang Q, Wang X, Chen F, Liu J, Yang B, Cheng X, Liao Y, Wu Y, Ke T, Tu X, Ren X, Yang Y, Xia Y, Luo X, Liu M, Li H, Liu J, Xiao Y, Chen Q, Xu C, Wang QK. Genomic Variants in NEURL, GJA1 and CUX2 Significantly Increase Genetic Susceptibility to Atrial Fibrillation. Sci Rep 2018; 8:3297. [PMID: 29459676 PMCID: PMC5818533 DOI: 10.1038/s41598-018-21611-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 02/07/2018] [Indexed: 12/18/2022] Open
Abstract
Atrial fibrillation (AF) is the most common arrhythmia. In 2014, two new meta-GWAS identified 5 AF loci, including the NEURL locus, GJA1 locus, CAND2 locus, and TBX5 locus in the European ancestry populations and the NEURL locus and CUX2 locus in a Japanese population. The TBX5 locus for AF was reported by us in 2013 in the Chinese population. Here we assessed the association between AF and SNPs in the NEURL, GJA1, CAND2 and CUX2 loci in the Chinese Han population. We carried out a large case-control association study with 1,164 AF patients and 1,460 controls. Significant allelic and genotypic associations were identified between NEURL variant rs6584555 and GJA1 variant rs13216675 and AF. Significant genotypic association was found between CUX2 SNP rs6490029 and AF. No association was found between CAND2 variant rs4642101 and AF, which may be due to an insufficient power of the sample size for rs4642101. Together with our previous findings, seven of fifteen AF loci (<50%) identified by GWAS in the European ancestry populations conferred susceptibility to AF in the Chinese population, and explained approximately 14.5% of AF heritability. On the other hand, two AF loci identified in the Japanese population were both replicated in the Chinese population.
Collapse
Affiliation(s)
- Pengxia Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Weixi Qin
- School of Life Science and Engineering, Graduate School, Lanzhou University of Technology, Lanzhou, P.R. China
| | - Pengyun Wang
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yufeng Huang
- Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Ying Liu
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, P.R. China
| | - Rongfeng Zhang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, P.R. China
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Qin Yang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xiaojing Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Feifei Chen
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, P.R. China
| | - Jingqiu Liu
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, P.R. China
| | - Bo Yang
- Department of Cardiology, People's Hospital, Wuhan University, Wuhan, P.R. China
| | - Xiang Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yuhua Liao
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yanxia Wu
- Department of Cardiology, the First Affiliated Hospital of Wuhan City, Wuhan, P.R. China
| | - Tie Ke
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xiang Ren
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yanzong Yang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, P.R. China
| | - Yunlong Xia
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, P.R. China
| | - Xiaoping Luo
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Mugen Liu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - He Li
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Jingyu Liu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yi Xiao
- College of Physics, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Qiuyun Chen
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
- Department of Molecular Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China.
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Center, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, P.R. China.
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
- Department of Molecular Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
| |
Collapse
|
15
|
Li X, Poschmann S, Chen Q, Fazeli W, Oundjian NJ, Snoeijen-Schouwenaars FM, Fricke O, Kamsteeg EJ, Willemsen M, Wang QK. De novo BK channel variant causes epilepsy by affecting voltage gating but not Ca 2+ sensitivity. Eur J Hum Genet 2018; 26:220-229. [PMID: 29330545 PMCID: PMC5839055 DOI: 10.1038/s41431-017-0073-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 11/06/2017] [Accepted: 11/23/2017] [Indexed: 12/30/2022] Open
Abstract
Epilepsy is one of the most common neurological diseases and it causes profound morbidity and mortality. We identified the first de novo variant in KCNMA1 (c.2984 A > G (p.(N995S)))-encoding the BK channel-that causes epilepsy, but not paroxysmal dyskinesia, in two independent families. The c.2984 A > G (p.(N995S)) variant markedly increased the macroscopic potassium current by increasing both the channel open probability and channel open dwell time. The c.2984 A > G (p.(N995S)) variant did not affect the calcium sensitivity of the channel. We also identified three other variants of unknown significance (c.1554 G > T (p.(K518N)), c.1967A > C (p.(E656A)), and c.3476 A > G (p.(N1159S))) in three separate patients with divergent epileptic phenotypes. However, these variants did not affect the BK potassium current, and are therefore unlikely to be disease-causing. These results demonstrate that BK channel variants can cause epilepsy without paroxysmal dyskinesia. The underlying molecular mechanism can be increased activation of the BK channel by increased sensitivity to the voltage-dependent activation without affecting the sensitivity to the calcium-dependent activation. Our data suggest that the BK channel may represent a drug target for the treatment of epilepsy. Our data highlight the importance of functional electrophysiological studies of BK channel variants in distinguishing whether a genomic variant of unknown significance is a disease-causing variant or a benign variant.
Collapse
Affiliation(s)
- Xia Li
- Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, Hubei Province, P. R. China
| | | | - Qiuyun Chen
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, OH, USA
- Department of Genetics and Genome Science, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Walid Fazeli
- University Children's Hospital Cologne, Pediatric Neurology, Cologne, Germany
| | | | | | - Oliver Fricke
- Department of Child and Adolescent Psychiatry and Neuropediatrics, Gemeinschaftskrankenhaus Herdecke, Witten/Herdecke, Germany
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Radboud University Medical Center, HB Nijmegen, The Netherlands
| | - Marjolein Willemsen
- Department of Human Genetics, Radboud University Medical Center, HB Nijmegen, The Netherlands.
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.
| | - Qing Kenneth Wang
- Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, Hubei Province, P. R. China.
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, OH, USA.
- Department of Genetics and Genome Science, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
| |
Collapse
|
16
|
Association of COL4A1 (rs605143, rs565470) and CD14 (rs2569190) genes polymorphism with coronary artery disease. Mol Cell Biochem 2018; 445:117-122. [PMID: 29299748 DOI: 10.1007/s11010-017-3257-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Accepted: 12/23/2017] [Indexed: 10/18/2022]
Abstract
Coronary artery disease (CAD) is the leading cause of death worldwide and it is basically caused by atherosclerosis. The atherosclerotic process includes complex events and each one involves a specific biological pathway and different genes. According to World Health Organization report, Cardiovascular diseases will be the largest cause of death and disability by 2020, with an estimated 2.6 million Indians predicted to die due to CAD predominantly with myocardial infarction. Genetic factors are estimated to contribute 30-60% of the CAD risk. The aim of this study is to investigate the association of COL4A1 and CD14 genes polymorphism with CAD. This study included 345 subjects, 185 CAD cases and 160 healthy controls. Single-nucleotide polymorphisms were evaluated by polymerase chain reaction and restriction fragment length polymorphism. Alleles and genotype frequencies between cases and controls were compared using χ2 and Student's t tests. Odds ratios and 95% confidence intervals were calculated by logistic regression to assess the relative association between disease and genotypes. In this study, CD14 (rs2569190), CC (P = 0.008) genotypes, and C allele (P = 0.007) were found to be a positive risk factor, while TT genotype (P = 0.045) and T allele (P = 0.007) as negative risk factor for CAD. Significant differences were not observed in COL4A1 (rs605143 and rs565470) gene polymorphism with CAD. It seems that CD14 gene polymorphism might be associated with the risk of CAD, whereas COL4A1 gene polymorphism was not found to confer any risk of CAD.
Collapse
|
17
|
Huang Y, Yang J, Xie W, Li Q, Zeng Z, Sui H, Shan Z, Huang Z. A novel KCND3 mutation associated with early-onset lone atrial fibrillation. Oncotarget 2017; 8:115503-115512. [PMID: 29383177 PMCID: PMC5777789 DOI: 10.18632/oncotarget.23303] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 12/05/2017] [Indexed: 01/08/2023] Open
Abstract
Atrial fibrillation (AF) is the most common arrhythmia in the clinic. While previous studies have identified AF-associated mutations in several genes, the genetic basis for AF remains unclear. Here, we identified a novel T361S missense mutation in potassium voltage-gated channel, shal-related subfamily, member 3 (KCND3) from a Chinese Han family ancestor with lone AF. The wild-type (WT) or mutant T361S of Kv4.3 protein (encoded by KCND3) were co-expressed with the auxiliary subunit K+ channel-Interacting Protein (KChIP2) in HEK293 cells, and transient outward potassium current (Ito) were recorded using patch-clamp methods, and the surface or total protein levels of Kv4.3 were analyzed by western blot. Ito density, measured at 60 mV, for T361S was significantly higher than that for WT. Both the steady-state activation and inactivation curves showed a remarkable hyperpolarizing shift in T361S. Moreover, recovery from inactivation after a 500-ms depolarizing pulse was significantly delayed for T361S compared with that for WT. Mechanistically, the gain of function of Ito elicited by T361S was associated with the increased expression of cell surface and total cell protein of Kv4.3. The computer stimulation revealed that the T361S mutation shortened the action potential duration through an increased Itoin Human Atrial Model. In conclusion, we identified a novel T361S mutation in KCND3 associated with AF in the Chinese Han family. The T361S mutant result in the changes in channel kinetics as well as the up-regulation of Kv4.3 protein, which may be a critical driver for lone AF as observed in the patient.
Collapse
Affiliation(s)
- Yuan Huang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering, Ministry of Education, Hubei University of Technology, Wuhan 430068, China
| | - Jiawei Yang
- Department of Cardiology, Jingzhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jingzhou 434020, China
| | - Wanyi Xie
- Xiamen Key Laboratory of Chiral Drugs, Medical College, Xiamen University, Xiamen 361003, China
| | - Qince Li
- Biocomputing Research Center, School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
| | - Zhipeng Zeng
- Department of Cardiology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China
| | - Haibo Sui
- Biocomputing Research Center, School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
| | - Zhonggui Shan
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China
| | - Zhengrong Huang
- Department of Cardiology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China
| |
Collapse
|
18
|
Lack of association between the APLNR variant rs9943582 with ischemic stroke in the Chinese Han GeneID population. Oncotarget 2017; 8:107678-107684. [PMID: 29296197 PMCID: PMC5746099 DOI: 10.18632/oncotarget.22588] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 11/04/2017] [Indexed: 11/25/2022] Open
Abstract
Stroke is one of the most common causes of death worldwide. Genetic risk factors have been found to play important roles in the pathology of ischemic stroke. In a previous genome-wide association study, a functional variant (rs9943582, –154G/A) in the 5’ flanking region of the apelin receptor gene (APLNR) was shown to be significantly associated with stroke in the Japanese population. However, the association required validation in other ethnicities. To validate the genetic relationship between APLNR and ischemic stroke in the Chinese Han population, we genotyped rs9943582 in a case–control population containing 1,158 ischemic stroke patients and 1,265 common controls enrolled from the GeneID database, and performed a genetic association study. We detected no allelic or genotypic associations between rs9943582 and ischemic stroke in the Chinese Han GeneID population, although the study population provided sufficient statistical power. This finding indicates that the association between the APLNR variant and ischemic stroke or atherosclerosis may need further validation.
Collapse
|
19
|
Naji DH, Tan C, Han F, Zhao Y, Wang J, Wang D, Fa J, Li S, Chen S, Chen Q, Xu C, Wang QK. Significant genetic association of a functional TFPI variant with circulating fibrinogen levels and coronary artery disease. Mol Genet Genomics 2017; 293:119-128. [PMID: 28894953 DOI: 10.1007/s00438-017-1365-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Accepted: 08/29/2017] [Indexed: 01/17/2023]
Abstract
The tissue factor pathway inhibitor (TFPI) gene encodes a protease inhibitor with a critical role in regulation of blood coagulation. Some genomic variants in TFPI were previously associated with plasma TFPI levels, however, it remains to be further determined whether TFPI variants are associated with other coagulation factors. In this study, we carried out a large population-based study with 2313 study subjects for blood coagulation data, including fibrinogen levels, prothrombin time (PT), activated partial thromboplastin time (APTT), and thrombin time (TT). We identified significant association of TFPI variant rs10931292 (a functional promoter variant with reduced transactivation) with increased plasma fibrinogen levels (P = 0.017 under a recessive model), but not with PT, APTT or TT (P > 0.05). Using a large case-control association study population with 4479 CAD patients and 3628 controls, we identified significant association between rs10931292 and CAD under a recessive model (OR 1.23, P = 0.005). For the first time, we show that a TFPI variant is significantly associated with fibrinogen levels and risk of CAD. Our finding contributes significantly to the elucidation of the genetic basis and biological pathways responsible for fibrinogen levels and development of CAD.
Collapse
Affiliation(s)
- Duraid Hamid Naji
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Chengcheng Tan
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Fabin Han
- The Institute for Translational Medicine, The Second Affiliated Hospital, Shandong University, Jinan, Shandong, People's Republic of China
| | - Yuanyuan Zhao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Junhan Wang
- University Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Dan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Jingjing Fa
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Shanshan Chen
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Qiuyun Chen
- Department of Molecular Cardiology, Center for Cardiovascular Genetics, Cleveland Clinic, Cleveland, OH, 44195, USA. .,Department of Molecular Medicine/CCLCM, Case Western Reserve University, Cleveland, OH, 44195, USA.
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China. .,Department of Molecular Cardiology, Center for Cardiovascular Genetics, Cleveland Clinic, Cleveland, OH, 44195, USA. .,Department of Molecular Medicine/CCLCM, Case Western Reserve University, Cleveland, OH, 44195, USA. .,Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, 44195, USA.
| |
Collapse
|
20
|
Wang N, Zheng X, Qian J, Yao W, Bai L, Hou G, Qiu X, Li X, Jiang X. Renal sympathetic denervation alleviates myocardial fibrosis following isoproterenol-induced heart failure. Mol Med Rep 2017; 16:5091-5098. [PMID: 28849013 PMCID: PMC5647034 DOI: 10.3892/mmr.2017.7255] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Accepted: 01/20/2017] [Indexed: 11/06/2022] Open
Abstract
The aim of the present study was to determine if renal sympathetic denervation (RSD) may alleviate isoproterenol-induced left ventricle remodeling, and to identify the underlying mechanism. A total of 70 rats were randomly divided into control (n=15), sham operation (n=15), heart failure (HF) with sham operation (HF + sham; n=20) and HF with treatment (HF + RSD; n=20) groups. The HF model was established by subcutaneous injection of isoproterenol; six weeks later, 1eft ventricular internal diameter at end‑systole (LVIDs), left ventricular systolic posterior wall thickness (LVPWs), 1eft ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) were measured. Plasma norepinephrine (NE), angiotensin II (Ang II) and aldosterone (ALD) levels were measured by ELISA. Myocardial collagen volume fraction (CVF) was determined by Masson's staining. Reverse transcription‑quantitative polymerase chain reaction was used to determine the mRNA expression levels of ventricular transforming growth factor‑β (TGF‑β), connective tissue growth factor (CTGF) and microRNAs (miRs), including miR‑29b, miR‑30c and miR‑133a. The results demonstrated that LVIDs and LVPWs in the HF + RSD group were significantly decreased compared with the HF + sham group. By contrast, LVFS and LVEF in the HF + RSD group were significantly increased compared with the HF + sham group. RSD significantly reduced the levels of plasma NE, Ang II and ALD. CVF in the HF + RSD group was reduced by 38.1% compared with the HF + sham group. Expression levels of TGF‑β and CTGF were decreased, whereas those of miR‑29b, miR‑30c and miR‑133a were increased, in the HF + RSD group compared with the HF + sham group. These results indicated that RSD alleviates isoproterenol‑induced left ventricle remodeling potentially via downregulation of TGF‑β/CTGF and upregulation of miR‑29b, miR‑30c and miR‑133a. RSD may therefore be an effective non‑drug therapy for the treatment of heart failure.
Collapse
Affiliation(s)
- Neng Wang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Xiaoxin Zheng
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Jin Qian
- Department of Cardiology, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei 441300, P.R. China
| | - Wei Yao
- Department of Cardiology, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei 441300, P.R. China
| | - Lu Bai
- Department of Cardiology, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei 441300, P.R. China
| | - Guo Hou
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Xuan Qiu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Xiaoyan Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Xuejun Jiang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| |
Collapse
|
21
|
Luo C, Pook E, Tang B, Zhang W, Li S, Leineweber K, Cheung SH, Chen Q, Bechem M, Hu JS, Laux V, Wang QK. Androgen inhibits key atherosclerotic processes by directly activating ADTRP transcription. Biochim Biophys Acta Mol Basis Dis 2017. [PMID: 28645652 DOI: 10.1016/j.bbadis.2017.06.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Low androgen levels are associated with an increased risk of coronary artery disease (CAD), thrombosis and myocardial infarction (MI), suggesting that androgen has a protective role. However, little is known about the underlying molecular mechanism. Our genome-wide association study identified the ADTRP gene encoding the androgen-dependent TFPI regulating protein as a susceptibility gene for CAD and MI. The expression level of ADTRP was regulated by androgen, but the molecular mechanism is unknown. In this study, we identified the molecular mechanism by which androgen regulates ADTRP expression and tested the hypothesis that androgen plays a protective role in cardiovascular disease by activating ADTRP expression. Luciferase assays with an ADTRP promoter luciferase reporter revealed that androgen regulated ADTRP transcription in a dose- and time-dependent manner, and the effect was abolished by three different androgen inhibitors, including pyrvinium pamoate, bicalutamide, and cyproterone acetate. Chromatin-immunoprecipitation showed that the androgen receptor bound to a half androgen response element (ARE, TGTTCT) located at +324bp from the ADTRP transcription start site. The ARE is required for concentration-dependent transcriptional activation of ADTRP. HL-60 monocyte adhesion to EAhy926 endothelial cells (ECs) and transmigration across the EC layer, the two processes critical to development of CAD and MI, were inhibited by androgen, but the effect was rescued by ADTRP siRNA and exacerbated by overexpression of ADTRP and its downstream genes PIK3R3 and MIA3. These data suggest that one molecular mechanism by which androgen confers protection against CAD is stimulation of ADTRP expression.
Collapse
Affiliation(s)
- Chunyan Luo
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-Institute, Huazhong University of Science and Technology, Wuhan 430074, PR China
| | | | - Bo Tang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-Institute, Huazhong University of Science and Technology, Wuhan 430074, PR China
| | - Weiyi Zhang
- Bayer Healthcare Co Ltd, Innovation Center China, Beijing, PR China
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-Institute, Huazhong University of Science and Technology, Wuhan 430074, PR China
| | | | - Shing-Hu Cheung
- Bayer Healthcare Co Ltd, Innovation Center China, Beijing, PR China
| | - Qiuyun Chen
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44195, USA
| | | | - Jing-Shan Hu
- Bayer Healthcare Co Ltd, Innovation Center China, Beijing, PR China
| | - Volker Laux
- Bayer AG, Drug Discovery, 42096 Wuppertal, Germany.
| | - Qing Kenneth Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-Institute, Huazhong University of Science and Technology, Wuhan 430074, PR China; Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44195, USA.
| |
Collapse
|
22
|
Yin D, Naji DH, Xia Y, Li S, Bai Y, Jiang G, Zhao Y, Wang X, Huang Y, Chen S, Fa J, Tan C, Zhou M, Zhou Y, Wang L, Liu Y, Chen F, Liu J, Chen Q, Tu X, Xu C, Wang QK. Genomic Variant in IL-37 Confers A Significant Risk of Coronary Artery Disease. Sci Rep 2017; 7:42175. [PMID: 28181534 PMCID: PMC5299598 DOI: 10.1038/srep42175] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 01/05/2017] [Indexed: 12/14/2022] Open
Abstract
The interleukin 1 family plays an important role in the immune and inflammatory responses. Coronary artery disease (CAD) is a chronic inflammatory disease. However, the genetic association between IL-37, the seventh member of the IL-1 family, and CAD is unknown. Here we show that a single nucleotide polymorphism in the IL-37 gene (rs3811047) confers a significant risk of CAD. We have performed an association analysis between rs3811047 and CAD in two independent populations with 2,501 patients and 3,116 controls from China. Quantitative RT-PCR analysis has been performed to determine if the IL-37 expression level is influenced by rs3811047. We show that the minor allele A of rs3811047 is significantly associated with CAD in two independent populations under a recessive model (Padj = 5.51 × 10-3/OR = 1.56 in the GeneID Northernern population and Padj = 1.23 × 10-3/OR = 1.45 in the GeneID Central population). The association became more significant in the combined population (Padj = 9.70 × 10-6/OR = 1.47). Moreover, the association remains significant in a CAD case control population matched for age and sex. Allele A of rs3811047 shows significant association with a decreased mRNA expression level of IL-37 (n = 168, P = 3.78 × 10-4). These data suggest that IL37 is a new susceptibility gene for CAD, which provides a potential target for the prevention and treatment of CAD.
Collapse
Affiliation(s)
- Dan Yin
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China.,BGI-Wuhan, Wuhan 430075, China; BGI-Shenzhen, Shenzhen 518083, China
| | - Duraid Hamied Naji
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Yunlong Xia
- Cardiovascualr Hospital, the First Affiliated Hospital of Dalian Medical University, Dalian, Wuhan, P. R. China
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Ying Bai
- Center of Prenatal Diagnosis, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Hunan, P. R. China
| | - Guiqing Jiang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Yuanyuan Zhao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Xiaojing Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Yufeng Huang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Shanshan Chen
- Key Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, P. R. China
| | - Jingjing Fa
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Chengcheng Tan
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Mengchen Zhou
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Yingchao Zhou
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Longfei Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Ying Liu
- Cardiovascualr Hospital, the First Affiliated Hospital of Dalian Medical University, Dalian, Wuhan, P. R. China
| | - Feifei Chen
- Cardiovascualr Hospital, the First Affiliated Hospital of Dalian Medical University, Dalian, Wuhan, P. R. China
| | - Jingqiu Liu
- Cardiovascualr Hospital, the First Affiliated Hospital of Dalian Medical University, Dalian, Wuhan, P. R. China
| | - Qiuyun Chen
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Department of Genetics and Genome Science, Case Western Reserve University, Cleveland, OH, USA
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan, P. R. China.,Center for Cardiovascular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Department of Genetics and Genome Science, Case Western Reserve University, Cleveland, OH, USA
| |
Collapse
|
23
|
Analysis of the genetic association between IL27 variants and coronary artery disease in a Chinese Han population. Sci Rep 2016; 6:25782. [PMID: 27174010 PMCID: PMC4865940 DOI: 10.1038/srep25782] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 04/22/2016] [Indexed: 01/03/2023] Open
Abstract
Interleukin-27 (IL-27) is an important cytokine in inflammatory diseases, including coronary artery disease (CAD). To explore the precise role of IL-27 in CAD, we investigated the genetic association between IL27 and CAD in the GeneID Chinese Han population. A two-stage case control association analysis was performed for 3075 CAD cases and 2802 controls. Logistic regression analysis was used to adjust the traditional risk factors for CAD. Results showed that a promoter variant, rs153109, tended to be marginally associated with CAD in the discovery population (Padj = 0.028, OR = 1.27, 95%CI: 1.03–1.58). However, this association was not replicated in the validation stage (Padj = 0.559, OR = 1.04, 95%CI: 0.90–1.21). In addition, when we classified the combined population into two subgroups according to the age at disease onset or disease state, we again obtained no significant associations. Finally, we estimated the severity of coronary stenosis using the Gensini Scoring system and determined that the rs153109 genotypes were still not associated with the Gensini scores of the CAD patients. In conclusion, our study failed to find an association between common variants in the functional region of IL27 and CAD in a Chinese Han population, which indicated that IL-27 might only be an inflammatory marker during the development of CAD.
Collapse
|
24
|
Schleinitz D. Genetic Determination of Serum Levels of Diabetes-Associated Adipokines. Rev Diabet Stud 2016; 12:277-98. [PMID: 26859657 PMCID: PMC5275755 DOI: 10.1900/rds.2015.12.277] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Accepted: 10/06/2015] [Indexed: 12/16/2022] Open
Abstract
Adipose tissue secretes an abundance of proteins. Some of these proteins are known as adipokines and adipose-derived hormones which have been linked with metabolic disorders, including type 2 diabetes, and even with cancer. Variance in serum adipokine concentration is often closely associated with an increase (obesity) or decrease (lipodystrophy) in fat tissue mass, and it is affected by age, gender, and localization of the adipose tissue. However, there may be genetic variants which, in consequence, influence the serum concentration of a certain adipokine, and thereby promote metabolic disturbances or, with regard to the "protective" allele, exert beneficial effects. This review focuses on the genetic determination of serum levels of the following adipokines: adiponectin, chemerin, leptin, progranulin, resistin, retinol binding protein 4, vaspin, adipsin, apelin, and omentin. The article reports on the latest findings from genome-wide association studies (GWAS) and candidate gene studies, showing variants located in/nearby the adipokine genes and other (non-receptor) genes. An extra chapter highlights adipokine-receptor variants. Epigenetic studies on adipokines are also addressed.
Collapse
Affiliation(s)
- Dorit Schleinitz
- Integrated Research and Treatment Center AdiposityDiseases, University of Leipzig, Liebigstr. 21, 04103 Leipzig, Germany
| |
Collapse
|
25
|
Chen S, Wang X, Wang J, Zhao Y, Wang D, Tan C, Fa J, Zhang R, Wang F, Xu C, Huang Y, Li S, Yin D, Xiong X, Li X, Chen Q, Tu X, Yang Y, Xia Y, Xu C, Wang QK. Genomic variant in CAV1 increases susceptibility to coronary artery disease and myocardial infarction. Atherosclerosis 2016; 246:148-156. [PMID: 26775120 DOI: 10.1016/j.atherosclerosis.2016.01.008] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 12/11/2015] [Accepted: 01/06/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND The CAV1 gene encodes caveolin-1 expressed in cell types relevant to atherosclerosis. Cav-1-null mice showed a protective effect on atherosclerosis under the ApoE(-/-) background. However, it is unknown whether CAV1 is linked to CAD and MI in humans. In this study we analyzed a tagSNP for CAV1 in intron 2, rs3807989, for potential association with CAD. METHODS AND RESULTS We performed case-control association studies in three independent Chinese Han populations from GeneID, including 1249 CAD cases and 841 controls in Population I, 1260 cases and 833 controls in Population II and 790 cases and 1212 controls in Population III (a total of 3299 cases and 2886 controls). We identified significant association between rs3807989 and CAD in three independent populations and in the combined population (Padj = 2.18 × 10(-5), OR = 1.19 for minor allele A). We also detected significant association between rs3807989 and MI (Padj = 5.43 × 10(-5), OR = 1.23 for allele A). Allele A of SNP rs3807989 was also associated with a decreased level of LDL cholesterol. Although rs3807989 is a tagSNP for both CAV1 and nearby CAV2, allele A of SNP rs3807989 was associated with an increased expression level of CAV1 (both mRNA and protein), but not CAV2. CONCLUSIONS The data in this study demonstrated that rs3807989 at the CAV1/CAV2 locus was associated with significant risk of CAD and MI by increasing expression of CAV1 (but not CAV2). Thus, CAV1 becomes a strong candidate susceptibility gene for CAD/MI in humans.
Collapse
Affiliation(s)
- Shanshan Chen
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaojing Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Junhan Wang
- Department of Clinical Laboratory, University Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Zhao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Chengcheng Tan
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Jingjing Fa
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Rongfeng Zhang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Fan Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Chaoping Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Yufeng Huang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Sisi Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Yin
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Xiong
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Xiuchun Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Qiuyun Chen
- Center for Cardiovascular Genetics, Department of Molecular Cardiology, Cleveland Clinic, and Department of Molecular Medicine, CCLCM, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Yanzong Yang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yonglong Xia
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, China.,Center for Cardiovascular Genetics, Department of Molecular Cardiology, Cleveland Clinic, and Department of Molecular Medicine, CCLCM, Case Western Reserve University, Cleveland, OH 44195, USA
| |
Collapse
|
26
|
Richardson K, Schnitzler GR, Lai CQ, Ordovas JM. Functional Genomics Analysis of Big Data Identifies Novel Peroxisome Proliferator-Activated Receptor γ Target Single Nucleotide Polymorphisms Showing Association With Cardiometabolic Outcomes. ACTA ACUST UNITED AC 2015; 8:842-51. [PMID: 26518621 DOI: 10.1161/circgenetics.115.001174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Accepted: 10/22/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cardiovascular disease and type 2 diabetes mellitus represent overlapping diseases where a large portion of the variation attributable to genetics remains unexplained. An important player in their pathogenesis is peroxisome proliferator-activated receptor γ (PPARγ) that is involved in lipid and glucose metabolism and maintenance of metabolic homeostasis. We used a functional genomics methodology to interrogate human chromatin immunoprecipitation-sequencing, genome-wide association studies, and expression quantitative trait locus data to inform selection of candidate functional single nucleotide polymorphisms (SNPs) falling in PPARγ motifs. METHODS AND RESULTS We derived 27 328 chromatin immunoprecipitation-sequencing peaks for PPARγ in human adipocytes through meta-analysis of 3 data sets. The PPARγ consensus motif showed greatest enrichment and mapped to 8637 peaks. We identified 146 SNPs in these motifs. This number was significantly less than would be expected by chance, and Inference of Natural Selection from Interspersed Genomically coHerent elemenTs analysis indicated that these motifs are under weak negative selection. A screen of these SNPs against genome-wide association studies for cardiometabolic traits revealed significant enrichment with 16 SNPs. A screen against the MuTHER expression quantitative trait locus data revealed 8 of these were significantly associated with altered gene expression in human adipose, more than would be expected by chance. Several SNPs fall close, or are linked by expression quantitative trait locus to lipid-metabolism loci including CYP26A1. CONCLUSIONS We demonstrated the use of functional genomics to identify SNPs of potential function. Specifically, that SNPs within PPARγ motifs that bind PPARγ in adipocytes are significantly associated with cardiometabolic disease and with the regulation of transcription in adipose. This method may be used to uncover functional SNPs that do not reach significance thresholds in the agnostic approach of genome-wide association studies.
Collapse
Affiliation(s)
- Kris Richardson
- From the Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, MA (K.R., C.-Q.L., J.M.O.); Molecular Cardiology Research Institute, Tufts Medical Center, Boston, MA (G.R.S.); Department of Clinical Investigation, Centro Nacional Investigaciones Cardiovasculares (CNIC), Madrid, Spain (J.M.O.); and Department of Nutritional Genomics, Instituto Madrileno de Estudios Avanzados en Alimentacion, Madrid, Spain (J.M.O).
| | - Gavin R Schnitzler
- From the Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, MA (K.R., C.-Q.L., J.M.O.); Molecular Cardiology Research Institute, Tufts Medical Center, Boston, MA (G.R.S.); Department of Clinical Investigation, Centro Nacional Investigaciones Cardiovasculares (CNIC), Madrid, Spain (J.M.O.); and Department of Nutritional Genomics, Instituto Madrileno de Estudios Avanzados en Alimentacion, Madrid, Spain (J.M.O)
| | - Chao-Qiang Lai
- From the Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, MA (K.R., C.-Q.L., J.M.O.); Molecular Cardiology Research Institute, Tufts Medical Center, Boston, MA (G.R.S.); Department of Clinical Investigation, Centro Nacional Investigaciones Cardiovasculares (CNIC), Madrid, Spain (J.M.O.); and Department of Nutritional Genomics, Instituto Madrileno de Estudios Avanzados en Alimentacion, Madrid, Spain (J.M.O)
| | - Jose M Ordovas
- From the Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, MA (K.R., C.-Q.L., J.M.O.); Molecular Cardiology Research Institute, Tufts Medical Center, Boston, MA (G.R.S.); Department of Clinical Investigation, Centro Nacional Investigaciones Cardiovasculares (CNIC), Madrid, Spain (J.M.O.); and Department of Nutritional Genomics, Instituto Madrileno de Estudios Avanzados en Alimentacion, Madrid, Spain (J.M.O)
| |
Collapse
|
27
|
Monocyte chemoattractant protein-1 gene (MCP-1) polymorphisms are associated with risk of premature coronary artery disease in Mexican patients from the Genetics of Atherosclerotic Disease (GEA) study. Immunol Lett 2015; 167:125-30. [PMID: 26277553 DOI: 10.1016/j.imlet.2015.08.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 07/27/2015] [Accepted: 08/10/2015] [Indexed: 11/20/2022]
Abstract
The CC chemokine monocyte chemoattractant protein (MCP)-1/CCL2 is involved in the formation, progression, and destabilization of atheromatous plaques and plays an essential role in postinfarction remodeling. The aim of the present study was to evaluate the role of MCP-1 gene polymorphisms as susceptibility markers for premature coronary artery disease (CAD) and cardiovascular risk factors in the Mexican population. Four MCP-1 gene polymorphisms (rs1024611, rs2857654, rs3760396, and rs1024610) were genotyped by 5' exonuclease TaqMan assays in a group of 1072 patients with premature CAD, and 1082 healthy unrelated controls (with negative calcium score by computed tomography) seeking for associations with premature CAD and other metabolic and cardiovascular risk factors using logistic regression analyses. MCP-1 polymorphism frequencies were similar in premature CAD patients and healthy controls. When the analysis included only those premature CAD patients without type 2 diabetes mellitus (T2DM), the rs1024610 polymorphism was associated with increased risk of developing premature CAD under dominant and additive models adjusted by age and gender (OR=1.33, Pdom=0.040 and OR=1.34, Padd=0.027). The effect of the MCP-1 polymorphisms on various metabolic cardiovascular risk factors and metabolic parameters was explored separately in controls, and premature CAD. In this analysis adjusted by age and gender, the rs3760396 CC genotype was associated with low levels of gamma-glutamyl transpeptidase (P=0.002), whereas, the rs1024610 TT genotype was associated with decreased risk of T2DM (P=0.035) in premature CAD patients. One haplotype (CATG) was associated with increased risk of developing premature CAD (OR=1.44, P=0.0019). In summary, in our study, the rs1024610 polymorphism was associated with increased risk of developing premature CAD only in those patients without T2DM. The four MCP-1 polymorphisms were in high linkage disequilibrium and one haplotype was significantly associated with risk of developing premature CAD.
Collapse
|
28
|
Andersson C, Vasan RS. Compiling the complement of genes implicated in coronary artery disease. ACTA ACUST UNITED AC 2015; 7:738-40. [PMID: 25516622 DOI: 10.1161/circgenetics.114.000909] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Charlotte Andersson
- From the The Framingham Heart Study, MA (C.A., R.S.V.); Department of Cardiology, Gentofte Hospital, University of Copenhagen, Denmark (C.A.); and Sections of Preventive Medicine and Cardiology, Departments of Medicine and Epidemiology, Boston University Schools of Medicine and Public Health, MA (R.S.V.).
| | - Ramachandran S Vasan
- From the The Framingham Heart Study, MA (C.A., R.S.V.); Department of Cardiology, Gentofte Hospital, University of Copenhagen, Denmark (C.A.); and Sections of Preventive Medicine and Cardiology, Departments of Medicine and Epidemiology, Boston University Schools of Medicine and Public Health, MA (R.S.V.)
| |
Collapse
|
29
|
Niu T, Liu N, Zhao M, Xie G, Zhang L, Li J, Pei YF, Shen H, Fu X, He H, Lu S, Chen XD, Tan LJ, Yang TL, Guo Y, Leo PJ, Duncan EL, Shen J, Guo YF, Nicholson GC, Prince RL, Eisman JA, Jones G, Sambrook PN, Hu X, Das PM, Tian Q, Zhu XZ, Papasian CJ, Brown MA, Uitterlinden AG, Wang YP, Xiang S, Deng HW. Identification of a novel FGFRL1 MicroRNA target site polymorphism for bone mineral density in meta-analyses of genome-wide association studies. Hum Mol Genet 2015; 24:4710-27. [PMID: 25941324 DOI: 10.1093/hmg/ddv144] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 04/19/2015] [Indexed: 01/11/2023] Open
Abstract
MicroRNAs (miRNAs) are critical post-transcriptional regulators. Based on a previous genome-wide association (GWA) scan, we conducted a polymorphism in microRNA target sites (poly-miRTS)-centric multistage meta-analysis for lumbar spine (LS)-, total hip (HIP)- and femoral neck (FN)-bone mineral density (BMD). In stage I, 41 102 poly-miRTSs were meta-analyzed in seven cohorts with a genome-wide significance (GWS) α = 0.05/41 102 = 1.22 × 10(-6). By applying α = 5 × 10(-5) (suggestive significance), 11 poly-miRTSs were selected, with FGFRL1 rs4647940 and PRR5 rs3213550 as top signals for FN-BMD (P = 7.67 × 10(-6) and 1.58 × 10(-5)) in gender-combined sample. In stage II in silico replication (two cohorts), FGFRL1 rs4647940 was the only signal marginally replicated for FN-BMD (P = 5.08 × 10(-3)) at α = 0.10/11 = 9.09 × 10(-3). PRR5 rs3213550 was also selected based on biological significance. In stage III de novo genotyping replication (two cohorts), FGFRL1 rs4647940 was the only signal significantly replicated for FN-BMD (P = 7.55 × 10(-6)) at α = 0.05/2 = 0.025 in gender-combined sample. Aggregating three stages, FGFRL1 rs4647940 was the single stage I-discovered and stages II- and III-replicated signal attaining GWS for FN-BMD (P = 8.87 × 10(-12)). Dual-luciferase reporter assays demonstrated that FGFRL1 3' untranslated region harboring rs4647940 appears to be hsa-miR-140-5p's target site. In a zebrafish microinjection experiment, dre-miR-140-5p is shown to exert a dramatic impact on craniofacial skeleton formation. Taken together, we provided functional evidence for a novel FGFRL1 poly-miRTS rs4647940 in a previously known 4p16.3 locus, and experimental and clinical genetics studies have shown both FGFRL1 and hsa-miR-140-5p are important for bone formation.
Collapse
Affiliation(s)
- Tianhua Niu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Ning Liu
- Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China
| | - Ming Zhao
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Guie Xie
- Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China
| | - Lei Zhang
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA, Center of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Jian Li
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Yu-Fang Pei
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Hui Shen
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Xiaoying Fu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Hao He
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Shan Lu
- Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China
| | - Xiang-Ding Chen
- Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China
| | - Li-Jun Tan
- Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China
| | - Tie-Lin Yang
- Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China
| | - Yan Guo
- Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China
| | - Paul J Leo
- Human Genetics Group, University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Emma L Duncan
- Human Genetics Group, University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia, Department of Diabetes and Endocrinology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Jie Shen
- Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, P. R. China
| | - Yan-Fang Guo
- Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, P. R. China
| | | | - Richard L Prince
- School of Medicine and Pharmacology, University of Western Australia, Perth, Australia, Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia
| | - John A Eisman
- Garvan Institute of Medical Research, University of New South Wales, Sydney, Australia
| | - Graeme Jones
- Menzies Research Institute, University of Tasmania, Hobart, Australia
| | - Philip N Sambrook
- Kolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, Australia
| | - Xiang Hu
- Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China
| | - Partha M Das
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Qing Tian
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Xue-Zhen Zhu
- Center of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Christopher J Papasian
- Department of Basic Medical Science, University of Missouri-Kansas City, Kansas City, USA
| | - Matthew A Brown
- Human Genetics Group, University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - André G Uitterlinden
- Department of Internal Medicine and , Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands and
| | - Yu-Ping Wang
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA, Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA
| | - Shuanglin Xiang
- Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China,
| | - Hong-Wen Deng
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA, Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China,
| |
Collapse
|