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Li X, Shao X, Xue Q, Kou M, Champagne CM, Koseva BS, Heianza Y, Grundberg E, Bazzano LA, Bray GA, Sacks FM, Qi L. DNA Methylation Near CPT1A and Changes in Triglyceride-rich Lipoproteins in Response to Weight-loss Diet Interventions. J Clin Endocrinol Metab 2023; 108:e542-e549. [PMID: 36800272 PMCID: PMC10348458 DOI: 10.1210/clinem/dgad086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/18/2023]
Abstract
CONTEXT Carnitine palmitoyltransferase-1A, encoded by the CPT1A gene, plays a key role in the oxidation of long-chain fatty acids in the mitochondria and may be important in triglyceride metabolism. Previous work has shown that high fat intake was negatively associated with CPT1A methylation and positively associated with CPT1A expression. OBJECTIVE We aim to investigate the association of DNA methylation (DNAm) at the CPT1A gene with reductions in triglycerides and triglyceride-rich lipoproteins (TRLs) in response to weight-loss diet interventions. METHODS The current study included 538 White participants, who were randomly assigned to 1 of 4 diets varying in macronutrient components. We defined the regional DNAm at CPT1A as the average methylation level over CpGs within 500 bp of the 3 triglyceride-related DNAm sites. RESULTS Dietary fat intake significantly modified the association between baseline DNAm at CPT1A and 2-year changes in total plasma triglycerides, independent of concurrent weight loss. Among participants assigned to a low-fat diet, a higher regional DNAm level at CPT1A was associated with a greater reduction in total plasma triglycerides at 2 years (P = .01), compared with those assigned to a high-fat diet (P = .64) (P interaction = .018). Further investigation on lipids and apolipoproteins in very low-density lipoprotein (VLDL) revealed similar interaction patterns for 2-year changes in VLDL-triglycerides, VLDL-cholesterol, and VLDL-apolipoprotein B (P interaction = .009, .002, and .016, respectively), but not for VLDL-apoC-III (P interaction = .36). CONCLUSION Participants with a higher regional DNAm level at CPT1A benefit more in long-term improvement in triglycerides, particularly in the TRLs and related apolipoproteins when consuming a low-fat weight-loss diet.
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Affiliation(s)
- Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Xiaojian Shao
- Digital Technologies Research Centre, National Research Council Canada, Ottawa, Ontario K1C 0R6, Canada
| | - Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Minghao Kou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Catherine M Champagne
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA 70808, USA
| | - Boryana S Koseva
- Department of Pediatrics, Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO 64108, USA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Elin Grundberg
- Department of Pediatrics, Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO 64108, USA
| | - Lydia A Bazzano
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA 70808, USA
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Niu X, Han P, Liu J, Chen Z, Zhang T, Li B, Ma X, Wu Q, Ma X. Regulation of PPARγ/CPT-1 expression ameliorates cochlear hair cell injury by regulating cellular lipid metabolism and oxidative stress. Mol Genet Genomics 2023; 298:473-483. [PMID: 36639590 DOI: 10.1007/s00438-023-01993-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/04/2023] [Indexed: 01/15/2023]
Abstract
This study aimed to investigate the protective effects of PPARγ/CPT-1 regulation on cisplatin-induced cochlear hair cell injury. The viability, apoptosis and mitochondrial membrane potential of cisplatin-induced HEI-OC1 cells were determined by CCK-8 assay, TUNEL and JC-1 staining, respectively. The oxidative stress and lipid metabolism were detected by the assay kits of MDA, ROS, SOD, CAT, TG and FFA. The transfection efficiency of overexpression (OV)-PPARG and OV-CPT1A was examined by RT-qPCR and the expressions of apoptosis- and lipid metabolism-related proteins were detected by western blot. As a result, cisplatin with varying concentrations (5, 10, 30 μM) suppressed the viability, promoted the apoptosis and hindered the mitochondrial function of HEI-OC1 cells, accompanied with up-regulated expressions of Bax and cleaved caspase-3 and down-regulated expression of Bcl-2. The oxidative stress was aggravated and lipid metabolism was inhibited by cisplatin (5, 10, 30 μM) induction, evidenced by the increased levels of MDA, ROS, TG, FFA and the decreased levels of SOD and CAT. Overexpression of PPARG or CPT1A could improve the viability, mitochondrial function, lipid metabolism and suppress the oxidative stress and apoptosis of cisplatin-induced HEI-OC1 cells. In conclusion, up-regulation of PPARG or CPT1A ameliorated cochlear hair cell injury by improving cellular lipid metabolism and inhibiting oxidative stress.
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Affiliation(s)
- Xiaorong Niu
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Peng Han
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Junsong Liu
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Zichen Chen
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China
| | - Ting Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Baiya Li
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Xiaoyan Ma
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Qun Wu
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Xudong Ma
- Department of Neurosurgery, The First Affiliated Hospital of Xi'an Jiaotong University, #227 Yanta West Road, Xi'an, 710061, Shaanxi, China.
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Taylor JY, Huang Y, Zhao W, Wright ML, Wang Z, Hui Q, Potts‐Thompson S, Barcelona V, Prescott L, Yao Y, Crusto C, Kardia SLR, Smith JA, Sun YV. Epigenome-wide association study of BMI in Black populations from InterGEN and GENOA. Obesity (Silver Spring) 2023; 31:243-255. [PMID: 36479596 PMCID: PMC10107734 DOI: 10.1002/oby.23589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 08/09/2022] [Accepted: 08/22/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Obesity is a significant public health concern across the globe. Research investigating epigenetic mechanisms related to obesity and obesity-associated conditions has identified differences that may contribute to cellular dysregulation that accelerates the development of disease. However, few studies include Black women, who experience the highest incidence of obesity and early onset of cardiometabolic disorders. METHODS The association of BMI with epigenome-wide DNA methylation (DNAm) was examined using the 850K Illumina EPIC BeadChip in two Black populations (Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure [InterGEN], n = 239; and The Genetic Epidemiology Network of Arteriopathy [GENOA] study, n = 961) using linear mixed-effects regression models adjusted for batch effects, cell type heterogeneity, population stratification, and confounding factors. RESULTS Cross-sectional analysis of the InterGEN discovery cohort identified 28 DNAm sites significantly associated with BMI, 24 of which had not been previously reported. Of these, 17 were replicated using the GENOA study. In addition, a meta-analysis, including both the InterGEN and GENOA cohorts, identified 658 DNAm sites associated with BMI with false discovery rate < 0.05. In a meta-analysis of Black women, we identified 628 DNAm sites significantly associated with BMI. Using a more stringent significance threshold of Bonferroni-corrected p value 0.05, 65 and 61 DNAm sites associated with BMI were identified from the combined sex and female-only meta-analyses, respectively. CONCLUSIONS This study suggests that BMI is associated with differences in DNAm among women that can be identified with DNA extracted from salivary (discovery) and peripheral blood (replication) samples among Black populations across two cohorts.
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Affiliation(s)
- Jacquelyn Y. Taylor
- Center for Research on People of ColorColumbia University School of NursingNew YorkNew YorkUSA
| | - Yunfeng Huang
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Wei Zhao
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMichiganUSA
| | | | - Zeyuan Wang
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Qin Hui
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | | | - Veronica Barcelona
- Center for Research on People of ColorColumbia University School of NursingNew YorkNew YorkUSA
| | - Laura Prescott
- Center for Research on People of ColorColumbia University School of NursingNew YorkNew YorkUSA
| | - Yutong Yao
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Cindy Crusto
- Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMichiganUSA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMichiganUSA
- Survey Research CenterInstitute for Social Research, University of MichiganAnn ArborMichiganUSA
| | - Yan V. Sun
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
- Atlanta VA Healthcare SystemDecaturGeorgiaUSA
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Epigenetics and Gut Microbiota Crosstalk: A potential Factor in Pathogenesis of Cardiovascular Disorders. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 9:bioengineering9120798. [PMID: 36551003 PMCID: PMC9774431 DOI: 10.3390/bioengineering9120798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
Cardiovascular diseases (CVD) are the leading cause of mortality, morbidity, and "sudden death" globally. Environmental and lifestyle factors play important roles in CVD susceptibility, but the link between environmental factors and genetics is not fully established. Epigenetic influence during CVDs is becoming more evident as its direct involvement has been reported. The discovery of epigenetic mechanisms, such as DNA methylation and histone modification, suggested that external factors could alter gene expression to modulate human health. These external factors also influence our gut microbiota (GM), which participates in multiple metabolic processes in our body. Evidence suggests a high association of GM with CVDs. Although the exact mechanism remains unclear, the influence of GM over the epigenetic mechanisms could be one potential pathway in CVD etiology. Both epigenetics and GM are dynamic processes and vary with age and environment. Changes in the composition of GM have been found to underlie the pathogenesis of metabolic diseases via modulating epigenetic changes in the form of DNA methylation, histone modifications, and regulation of non-coding RNAs. Several metabolites produced by the GM, including short-chain fatty acids, folates, biotin, and trimethylamine-N-oxide, have the potential to regulate epigenetics, apart from playing a vital role in normal physiological processes. The role of GM and epigenetics in CVDs are promising areas of research, and important insights in the field of early diagnosis and therapeutic approaches might appear soon.
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Zheng Y, Joyce B, Hwang SJ, Ma J, Liu L, Allen N, Krefman A, Wang J, Gao T, Nannini D, Zhang H, Jacobs DR, Gross M, Fornage M, Lewis CE, Schreiner PJ, Sidney S, Chen D, Greenland P, Levy D, Hou L, Lloyd-Jones D. Association of Cardiovascular Health Through Young Adulthood With Genome-Wide DNA Methylation Patterns in Midlife: The CARDIA Study. Circulation 2022; 146:94-109. [PMID: 35652342 PMCID: PMC9348746 DOI: 10.1161/circulationaha.121.055484] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cardiovascular health (CVH) from young adulthood is strongly associated with an individual's future risk of cardiovascular disease (CVD) and total mortality. Defining epigenomic biomarkers of lifelong CVH exposure and understanding their roles in CVD development may help develop preventive and therapeutic strategies for CVD. METHODS In 1085 CARDIA study (Coronary Artery Risk Development in Young Adults) participants, we defined a clinical cumulative CVH score that combines body mass index, blood pressure, total cholesterol, and fasting glucose measured longitudinally from young adulthood through middle age over 20 years (mean age, 25-45). Blood DNA methylation at >840 000 methylation markers was measured twice over 5 years (mean age, 40 and 45). Epigenome-wide association analyses on the cumulative CVH score were performed in CARDIA and compared in the FHS (Framingham Heart Study). We used penalized regression to build a methylation-based risk score to evaluate the risk of incident coronary artery calcification and clinical CVD events. RESULTS We identified 45 methylation markers associated with cumulative CVH at false discovery rate <0.01 (P=4.7E-7-5.8E-17) in CARDIA and replicated in FHS. These associations were more pronounced with methylation measured at an older age. CPT1A, ABCG1, and SREBF1 appeared as the most prominent genes. The 45 methylation markers were mostly located in transcriptionally active chromatin and involved lipid metabolism, insulin secretion, and cytokine production pathways. Three methylation markers located in genes SARS1, SOCS3, and LINC-PINT statistically mediated 20.4% of the total effect between CVH and risk of incident coronary artery calcification. The methylation risk score added information and significantly (P=0.004) improved the discrimination capacity of coronary artery calcification status versus CVH score alone and showed association with risk of incident coronary artery calcification 5 to 10 years later independent of cumulative CVH score (odds ratio, 1.87; P=9.66E-09). The methylation risk score was also associated with incident clinical CVD in FHS (hazard ratio, 1.28; P=1.22E-05). CONCLUSIONS Cumulative CVH from young adulthood contributes to midlife epigenetic programming over time. Our findings demonstrate the role of epigenetic markers in response to CVH changes and highlight the potential of epigenomic markers for precision CVD prevention, and earlier detection of subclinical CVD, as well.
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Affiliation(s)
- Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Brian Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jiantao Ma
- Tufts University Friedman School of Nutrition Science and Policy, Boston, Massachusetts, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Norrina Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amy Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Drew Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Haixiang Zhang
- Center for Applied Mathematics, Tianjin University, Tianjin, China
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Dongquan Chen
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Mazaheri-Tehrani S, Khoshhali M, Heidari-Beni M, Poursafa P, Kelishadi R. A systematic review and metaanalysis of observational studies on the effects of epigenetic factors on serum triglycerides. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022; 66:2359-3997000000472. [PMID: 35551677 PMCID: PMC9832862 DOI: 10.20945/2359-3997000000472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 12/22/2021] [Indexed: 11/23/2022]
Abstract
Epigenetic modifications might be associated with serum triglycerides (TG) levels. This study aims to systematically review the studies on the relationship between the methylation of specific cytosine-phosphate-guanine (CpG) sites and serum TG levels. This systematic review and meta-analysis study was conducted according to the PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. A systematic literature search was conducted in Medline database (PubMed), Scopus, and Cochrane library up to end of 2020. All observational studies (cross-sectional, case-control, and cohort) were included. Studies that assessed the effect of DNA methylation of different CpG sites of ABCG1, CPT1A, and SREBF1 genes on serum TG levels were selected. The National Institutes of Health (NIH) checklist was used to assess the quality of included articles. Among 2790 articles, ten studies were included in the quantitative analysis and fourteen studies were included in the systematic review. DNA methylation of ABCG1 gene had significant positive association with TG levels (β = 0.05, 95% CI = 0.04, 0.05, P heterogeneity < 0.001). There was significant inverse association between DNA methylation of CPT1A gene and serum TG levels (β = -0.03, 95% CI = -0.03, -0.02, P heterogeneity < 0.001). DNA methylation of SREBF1 gene was positively and significantly associated with serum TG levels (β = 0.03; 95% CI = 0.02-0.04, P heterogeneity < 0.001). DNA methylation of ABCG1 and SREBF1 genes has positive association with serum TG level, whereas this association is opposite for CPT1A gene. The role of epigenetic factors should be considered in some populations with high prevalence of hypertriglyceridemia.
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Affiliation(s)
- Sadegh Mazaheri-Tehrani
- MD student, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mehri Khoshhali
- PhD of Biostatistics. Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Motahar Heidari-Beni
- Assistant Professor, Department of Nutrition, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non- Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,
| | - Parnian Poursafa
- MSc Student, Department of Cellular and Molecular Biology, Faculty of Science, University of Isfahan, Isfahan, Iran
| | - Roya Kelishadi
- Professor, Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,
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Thibord F, Munsch G, Perret C, Suchon P, Roux M, Ibrahim-Kosta M, Goumidi L, Deleuze JF, Morange PE, Trégouët DA. Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis. Eur Heart J Suppl 2020; 22:C34-C45. [PMID: 32368197 PMCID: PMC7189740 DOI: 10.1093/eurheartj/suaa008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
MicroRNAs (miRNAs) are small regulatory RNAs participating to several biological processes and known to be involved in various pathologies. Measurable in body fluids, miRNAs have been proposed to serve as efficient biomarkers for diseases and/or associated traits. Here, we performed a next-generation-sequencing based profiling of plasma miRNAs in 344 patients with venous thrombosis (VT) and assessed the association of plasma miRNA levels with several haemostatic traits and the risk of VT recurrence. Among the most significant findings, we detected an association between hsa-miR-199b-3p and haematocrit levels (P = 0.0016), these two markers having both been independently reported to associate with VT risk. We also observed suggestive evidence for association of hsa-miR-370-3p (P = 0.019), hsa-miR-27b-3p (P = 0.016) and hsa-miR-222-3p (P = 0.049) with VT recurrence, the observations at the latter two miRNAs confirming the recent findings of Wang et al. Besides, by conducting Genome-Wide Association Studies on miRNA levels and meta-analyzing our results with some publicly available, we identified 21 new associations of single nucleotide polymorphisms with plasma miRNA levels at the statistical significance threshold of P < 5 × 10-8, some of these associations pertaining to thrombosis associated mechanisms. In conclusion, this study provides novel data about the impact of miRNAs' variability in haemostasis and new arguments supporting the association of few miRNAs with the risk of recurrence in patients with venous thrombosis.
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Affiliation(s)
- Florian Thibord
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1219, Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux 33076, France
- Pierre Louis Doctoral School of Public Health, Sorbonne-Université, 15 rue de l’école de médecine, Paris 75006, France
| | - Gaëlle Munsch
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1219, Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux 33076, France
| | - Claire Perret
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC Univ Paris 06), INSERM UMR_S 1166, 91 Boulevard de l’Hôpital, Paris 75013, France
| | - Pierre Suchon
- Laboratory of Haematology, La Timone Hospital, 278 rue Saint Pierre, Marseille 13385, France
| | - Maguelonne Roux
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC Univ Paris 06), INSERM UMR_S 1166, 91 Boulevard de l’Hôpital, Paris 75013, France
| | - Manal Ibrahim-Kosta
- Laboratory of Haematology, La Timone Hospital, 278 rue Saint Pierre, Marseille 13385, France
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Center for CardioVascular and Nutrition research (C2VN), Aix-Marseille University, 278 rue Saint Pierre, Marseille 13385, France
| | - Louisa Goumidi
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Center for CardioVascular and Nutrition research (C2VN), Aix-Marseille University, 278 rue Saint Pierre, Marseille 13385, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine, Direction de la Recherche Fondamentale, CEA, 2 rue Gaston Crémieux, Evry 91057, France
- CEPH, Fondation Jean Dausset, 27 rue Juliette Dodu, Paris 75010, France
| | - Pierre-Emmanuel Morange
- Laboratory of Haematology, La Timone Hospital, 278 rue Saint Pierre, Marseille 13385, France
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Center for CardioVascular and Nutrition research (C2VN), Aix-Marseille University, 278 rue Saint Pierre, Marseille 13385, France
| | - David-Alexandre Trégouët
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1219, Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux 33076, France
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Metabolic and Immunological Shifts during Mid-to-Late Gestation Influence Maternal Blood Methylation of CPT1A and SREBF1. Int J Mol Sci 2019; 20:ijms20051066. [PMID: 30823689 PMCID: PMC6429071 DOI: 10.3390/ijms20051066] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 02/19/2019] [Accepted: 02/25/2019] [Indexed: 01/08/2023] Open
Abstract
Mid-to-late gestation is a unique period in which women experience dynamic changes in lipid metabolism. Although the recent intensive epigenome-wide association studies (EWAS) using peripheral leukocytes have revealed that lipid-related traits alter DNA methylation, the influence of pregnancy-induced metabolic changes on the methylation levels of these differentially methylated sites is not well known. In this study, we performed a prospective cohort study of pregnant women (n = 52) using the MassARRAY EpiTYPER assay and analyzed the methylation levels of variably methylated sites, including CPT1A intron 1 and SREBF1 intron 1 CpGs, which were previously verified to be robustly associated with adiposity traits. Although methylation of SREBF1 was associated with body mass index (BMI) and low-density lipoprotein cholesterol at mid-gestation, this association was attenuated at late gestation, which was consistent with the metabolic switch from an anabolic to a catabolic state. However, the BMI association with CPT1A intron 1 methylation appeared to strengthen at late gestation; this association was mediated by pre-pregnancy BMI-dependent change in the leukocyte proportion during mid-to-late gestation. Thus, the methylation of adiposity-related differentially methylated regions was sensitive to metabolic and immunological changes during mid-to-late gestation.
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Campanella G, Gunter MJ, Polidoro S, Krogh V, Palli D, Panico S, Sacerdote C, Tumino R, Fiorito G, Guarrera S, Iacoviello L, Bergdahl IA, Melin B, Lenner P, de Kok TMCM, Georgiadis P, Kleinjans JCS, Kyrtopoulos SA, Bueno-de-Mesquita HB, Lillycrop KA, May AM, Onland-Moret NC, Murray R, Riboli E, Verschuren M, Lund E, Mode N, Sandanger TM, Fiano V, Trevisan M, Matullo G, Froguel P, Elliott P, Vineis P, Chadeau-Hyam M. Epigenome-wide association study of adiposity and future risk of obesity-related diseases. Int J Obes (Lond) 2018; 42:2022-2035. [PMID: 29713043 DOI: 10.1038/s41366-018-0064-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 01/31/2018] [Accepted: 02/13/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND Obesity is an established risk factor for several common chronic diseases such as breast and colorectal cancer, metabolic and cardiovascular diseases; however, the biological basis for these relationships is not fully understood. To explore the association of obesity with these conditions, we investigated peripheral blood leucocyte (PBL) DNA methylation markers for adiposity and their contribution to risk of incident breast and colorectal cancer and myocardial infarction. METHODS DNA methylation profiles (Illumina Infinium® HumanMethylation450 BeadChip) from 1941 individuals from four population-based European cohorts were analysed in relation to body mass index, waist circumference, waist-hip and waist-height ratio within a meta-analytical framework. In a subset of these individuals, data on genome-wide gene expression level, biomarkers of glucose and lipid metabolism were also available. Validation of methylation markers associated with all adiposity measures was performed in 358 individuals. Finally, we investigated the association of obesity-related methylation marks with breast, colorectal cancer and myocardial infarction within relevant subsets of the discovery population. RESULTS We identified 40 CpG loci with methylation levels associated with at least one adiposity measure. Of these, one CpG locus (cg06500161) in ABCG1 was associated with all four adiposity measures (P = 9.07×10-8 to 3.27×10-18) and lower transcriptional activity of the full-length isoform of ABCG1 (P = 6.00×10-7), higher triglyceride levels (P = 5.37×10-9) and higher triglycerides-to-HDL cholesterol ratio (P = 1.03×10-10). Of the 40 informative and obesity-related CpG loci, two (in IL2RB and FGF18) were significantly associated with colorectal cancer (inversely, P < 1.6×10-3) and one intergenic locus on chromosome 1 was inversely associated with myocardial infarction (P < 1.25×10-3), independently of obesity and established risk factors. CONCLUSION Our results suggest that epigenetic changes, in particular altered DNA methylation patterns, may be an intermediate biomarker at the intersection of obesity and obesity-related diseases, and could offer clues as to underlying biological mechanisms.
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Affiliation(s)
- Gianluca Campanella
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | | | - Vittorio Krogh
- Fondazione IRCCS-Istituto Nazionale dei Tumori, Milan, Italy
| | - Domenico Palli
- Istituto per lo Studio e la Prevenzione Oncologica (ISPO Toscana), Florence, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Carlotta Sacerdote
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Piedmont Reference Centre for Epidemiology and Cancer Prevention (CPO Piemonte), Turin, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, Azienda Ospedaliera "Civile-M.P. Arezzo", Ragusa, Italy
| | - Giovanni Fiorito
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli (IS), Italy
| | | | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Per Lenner
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Theo M C M de Kok
- Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands
| | - Panagiotis Georgiadis
- Institute of Biology, Medicinal Chemistry, and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - Jos C S Kleinjans
- Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands
| | - Soterios A Kyrtopoulos
- Institute of Biology, Medicinal Chemistry, and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - H Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Social and Preventive Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Karen A Lillycrop
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Anne M May
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - N Charlotte Onland-Moret
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Robert Murray
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Monique Verschuren
- Centre for Prevention and Health Services Research, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Eiliv Lund
- Department of Community Medicine, University of Tromsø (UiT)-The Artic University of Norway, Tromsø, Norway
| | - Nicolle Mode
- Department of Community Medicine, University of Tromsø (UiT)-The Artic University of Norway, Tromsø, Norway
| | - Torkjel M Sandanger
- Department of Community Medicine, University of Tromsø (UiT)-The Artic University of Norway, Tromsø, Norway
| | - Valentina Fiano
- Department of Medical Sciences, Unit of Cancer Epidemiology-CERMS, University of Turin, Turin, Italy
| | - Morena Trevisan
- Department of Medical Sciences, Unit of Cancer Epidemiology-CERMS, University of Turin, Turin, Italy
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Philippe Froguel
- CNRS UMR8199, Pasteur Institute of Lille, Lille University, Lille, France
- Department of Genomics of Common Disease, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
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10
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Kang PM, Kim YJ, Seo WT, Kang SH, Kim TS, Chun BK, Seo WI, Jeong JY, Chung JI. Correlation between 5-α reductase type 2 protein expression and methylation of 5-α reductase type 2 promotor gene of benign prostatic hyperplasia. World J Urol 2018; 37:709-718. [PMID: 30069579 DOI: 10.1007/s00345-018-2422-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 07/25/2018] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The enzyme 5-α reductase type 2 (5-AR 2) plays a key role in the development and maintenance of the prostate gland. We evaluated the level 5-AR 2 protein expression and the relationship between methylation of the 5-AR 2 gene-promoter and 5-AR 2 protein expression of benign prostatic hyperplasia (BPH). MATERIALS AND METHODS A total of 37 prostate samples were evaluated. These included 22 samples from men undergoing transurethral prostate resections and 15 non-cancerous transition-zone human prostate tissue samples taken following radical prostatectomy. We quantified 5-AR 2 protein expression and gene-promoter methylation status using common assay procedures. Clinical variables included age, body mass index (BMI), prostate-specific antigen (PSA) levels, lipid profiles, and prostate volumes. Univariate and multivariate statistical analyses were performed followed by stepwise logistic regression modeling. RESULTS We were able to extract DNA from 36 of the 37 tissue samples and 10 of these (28%) did not express the 5-AR 2 protein. In total, 26 patients (72%) had methylated 5-AR 2 promoter-regions. There was a strong correlation between methylation of the 5-AR 2 promoter-regions and low-absent 5-AR 2 protein expression (p = 0.0003). Increasing age significantly predicted methylation status and protein expression level (p = 0.013). CONCLUSIONS The level of 5-AR 2 protein expression varies among prostate tissue samples. Methylation of the 5-AR 2 gene-promoter may account for low or absent expression of 5-AR 2 in adult human prostate tissues. Increased age correlates with increased 5-AR 2 gene-promoter methylation and decreased protein expression in men with BPH.
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Affiliation(s)
- Pil Moon Kang
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Young Jin Kim
- Department of Biochemistry, Kosin University College of Medicine, 262 Gamcheon-ro, Seo-gu, Busan, 49267, Korea.,Cancer Research Institute, Kosin University College of Medicine, Busan, Korea
| | - Won Tae Seo
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Su Hwan Kang
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Taek Sang Kim
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Bong Kwon Chun
- Department of Pathology, Kosin University College of Medicine, Busan, Korea
| | - Won Ik Seo
- Department of Urology, Busan Paik Hospital, Inje University College of Medicine, Gaegeum-dong, Busanjin-gu, Busan, 614-735, Korea
| | - Jee-Yeong Jeong
- Department of Biochemistry, Kosin University College of Medicine, 262 Gamcheon-ro, Seo-gu, Busan, 49267, Korea. .,Cancer Research Institute, Kosin University College of Medicine, Busan, Korea.
| | - Jae Il Chung
- Department of Urology, Busan Paik Hospital, Inje University College of Medicine, Gaegeum-dong, Busanjin-gu, Busan, 614-735, Korea.
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11
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Abstract
PURPOSE OF REVIEW It is becoming increasingly evident that epigenetic mechanisms, particularly DNA methylation, play a role in the regulation of blood lipid levels and lipid metabolism-linked phenotypes and diseases. RECENT FINDINGS Recent genome-wide methylation and candidate gene studies of blood lipids have highlighted several robustly replicated methylation markers across different ethnicities. Furthermore, many of these lipid-related CpG sites associated with blood lipids are also linked to lipid-related phenotypes and diseases. Integrating epigenome-wide association studies (EWAS) data with other layers of molecular data such as genetics or the transcriptome, accompanied by relevant statistical methods (e.g. Mendelian randomization), provides evidence for causal relationships. Recent data suggest that epigenetic changes can be consequences rather than causes of dyslipidemia. There is sparse information on many lipid classes and disorders of lipid metabolism, and also on the interplay of DNA methylation with other epigenetic layers such as histone modifications and regulatory RNAs. SUMMARY The current review provides a literature overview of epigenetic modifications in lipid metabolism and other lipid-related phenotypes and diseases focusing on EWAS of DNA methylation from January 2016 to September 2017. Recent studies strongly support the importance of epigenetic modifications, such as DNA methylation, in lipid metabolism and related diseases for relevant biological insights, reliable biomarkers, and even future therapeutics.
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Affiliation(s)
- Kirstin Mittelstraß
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
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12
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Suchon P, Trégouët DA, Morange PE. Genetics of Venous Thrombosis: update in 2015. Thromb Haemost 2017; 114:910-9. [DOI: 10.1160/th15-05-0410] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 07/14/2015] [Indexed: 11/05/2022]
Abstract
SummaryVenous thrombosis (VT) is a common multifactorial disease with a genetic component that was first suspected nearly 60 years ago. In this review, we document the genetic determinants of the disease, and update recent findings delivered by the application of high-throughput genotyping and sequencing technologies. To date, 17 genes have been robustly demonstrated to harbour genetic variations associated with VT risk: ABO, F2, F5, F9, F11, FGG, GP6, KNG1, PROC, PROCR, PROS1, SERPINC1, SLC44A2, STXBP5, THBD, TSPAN15 and VWF. The common polymorphisms are estimated to account only for a modest part (~5 %) of the VT heritability. Much remains to be done to fully disentangle the exact genetic (and epigenetic) architecture of the disease. A large suite of powerful tools and research strategies can be deployed on the large collections of patients that have already been assembled (and additional are ongoing).
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13
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Truong V, Huang S, Dennis J, Lemire M, Zwingerman N, Aïssi D, Kassam I, Perret C, Wells P, Morange PE, Wilson M, Trégouët DA, Gagnon F. Blood triglyceride levels are associated with DNA methylation at the serine metabolism gene PHGDH. Sci Rep 2017; 7:11207. [PMID: 28894120 PMCID: PMC5593822 DOI: 10.1038/s41598-017-09552-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 07/18/2017] [Indexed: 12/14/2022] Open
Abstract
Efficient interventions to reduce blood triglycerides are few; newer and more tolerable intervention targets are needed. Understanding the molecular mechanisms underlying blood triglyceride levels variation is key to identifying new therapies. To explore the role of epigenetic mechanisms on triglyceride levels, a blood methylome scan was conducted in 199 individuals from 5 French-Canadian families ascertained on venous thromboembolism, and findings were replicated in 324 French unrelated patients with venous thromboembolism. Genetic context and functional relevance were investigated. Two DNA methylation sites associated with triglyceride levels were identified. The first one, located in the ABCG1 gene, was recently reported, whereas the second one, located in the promoter of the PHGDH gene, is novel. The PHGDH methylation site, cg14476101, was found to be associated with variation in triglyceride levels in a threshold manner: cg14476101 was inversely associated with triglyceride levels only when triglyceride levels were above 1.12 mmol/L (discovery P-value = 8.4 × 10-6; replication P-value = 0.0091). Public databases findings supported a functional role of cg14476101 on PHGDH expression. PHGDH catalyses the first step in the serine biosynthesis pathway. These findings highlight the role of epigenetic regulation of the PHGDH gene in triglyceride metabolism, providing novel insights on putative intervention targets.
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Affiliation(s)
- Vinh Truong
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Siying Huang
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Jessica Dennis
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Nora Zwingerman
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Dylan Aïssi
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Irfahan Kassam
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Claire Perret
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Philip Wells
- Department of Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Michael Wilson
- Genetics and Genome Biology Program, SickKids Research Institute, Toronto, Canada
| | - David-Alexandre Trégouët
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - France Gagnon
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
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14
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Bell CG. The Epigenomic Analysis of Human Obesity. Obesity (Silver Spring) 2017; 25:1471-1481. [PMID: 28845613 DOI: 10.1002/oby.21909] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 05/09/2017] [Accepted: 05/11/2017] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Analysis of the epigenome-the chemical modifications and packaging of the genome that can influence or indicate its activity-enables molecular insight into cell type-specific machinery. It can, therefore, reveal the pathophysiological mechanisms at work in disease. Detected changes can also represent physiological responses to adverse environmental exposures, thus enabling the epigenetic mark of DNA methylation to act as an epidemiological biomarker, even in surrogate tissue. This makes epigenomic analysis an attractive prospect to further understand the pathobiology and epidemiological aspects of obesity. Furthermore, integrating epigenomic data with known obesity-associated common genetic variation can aid in deciphering their molecular mechanisms. METHODS AND CONCLUSIONS This review primarily examines epidemiological or population-based studies of epigenetic modifications in relation to adiposity traits, as opposed to animal or cell models. It discusses recent work exploring the epigenome with respect to human obesity, which to date has predominately consisted of array-based studies of DNA methylation in peripheral blood. It is of note that highly replicated BMI DNA methylation associations are not causal, but strongly driven by coassociations for more precisely measured intertwined outcomes and factors, such as hyperlipidemia, hyperglycemia, and inflammation. Finally, the potential for the future exploration of the epigenome in obesity and related disorders is considered.
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Affiliation(s)
- Christopher G Bell
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK
- Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
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15
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van der Harst P, de Windt LJ, Chambers JC. Translational Perspective on Epigenetics in Cardiovascular Disease. J Am Coll Cardiol 2017; 70:590-606. [PMID: 28750703 PMCID: PMC5543329 DOI: 10.1016/j.jacc.2017.05.067] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 12/19/2022]
Abstract
A plethora of environmental and behavioral factors interact, resulting in changes in gene expression and providing a basis for the development and progression of cardiovascular diseases. Heterogeneity in gene expression responses among cells and individuals involves epigenetic mechanisms. Advancing technology allowing genome-scale interrogation of epigenetic marks provides a rapidly expanding view of the complexity and diversity of the epigenome. In this review, the authors discuss the expanding landscape of epigenetic modifications and highlight their importance for future understanding of disease. The epigenome provides a mechanistic link between environmental exposures and gene expression profiles ultimately leading to disease. The authors discuss the current evidence for transgenerational epigenetic inheritance and summarize the data linking epigenetics to cardiovascular disease. Furthermore, the potential targets provided by the epigenome for the development of future diagnostics, preventive strategies, and therapy for cardiovascular disease are reviewed. Finally, the authors provide some suggestions for future directions.
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Affiliation(s)
- Pim van der Harst
- Departments of Cardiology and Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, the Netherlands.
| | - Leon J de Windt
- Department of Cardiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom; Ealing Hospital NHS Trust, Middlesex, United Kingdom
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16
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Adeva-Andany MM, Calvo-Castro I, Fernández-Fernández C, Donapetry-García C, Pedre-Piñeiro AM. Significance of l-carnitine for human health. IUBMB Life 2017; 69:578-594. [PMID: 28653367 DOI: 10.1002/iub.1646] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 05/24/2017] [Indexed: 12/29/2022]
Abstract
Carnitine acyltransferases catalyze the reversible transfer of acyl groups from acyl-coenzyme A esters to l-carnitine, forming acyl-carnitine esters that may be transported across cell membranes. l-Carnitine is a wáter-soluble compound that humans may obtain both by food ingestion and endogenous synthesis from trimethyl-lysine. Most l-carnitine is intracellular, being present predominantly in liver, skeletal muscle, heart and kidney. The organic cation transporter-2 facilitates l-carnitine uptake inside cells. Congenital dysfunction of this transporter causes primary l-carnitine deficiency. Carnitine acetyltransferase is involved in the export of excess acetyl groups from the mitochondria and in acetylation reactions that regulate gene transcription and enzyme activity. Carnitine octanoyltransferase is a peroxysomal enzyme required for the complete oxidation of very long-chain fatty acids and phytanic acid, a branched-chain fatty acid. Carnitine palmitoyltransferase-1 is a transmembrane protein located on the outer mitochondrial membrane where it catalyzes the conversion of acyl-coenzyme A esters to acyl-carnitine esters. Carnitine acyl-carnitine translocase transports acyl-carnitine esters across the inner mitochondrial membrane in exchange for free l-carnitine that exits the mitochondrial matrix. Carnitine palmitoyltransferase-2 is anchored on the matrix side of the inner mitochondrial membrane, where it converts acyl-carnitine esters back to acyl-coenzyme A esters, which may be used in metabolic pathways, such as mitochondrial β-oxidation. l-Carnitine enhances nonoxidative glucose disposal under euglycemic hyperinsulinemic conditions in both healthy individuals and patients with type 2 diabetes, suggesting that l-carnitine strengthens insulin effect on glycogen storage. The plasma level of acyl-carnitine esters, primarily acetyl-carnitine, increases during diabetic ketoacidosis, fasting, and physical activity, particularly high-intensity exercise. Plasma concentration of free l-carnitine decreases simultaneously under these conditions. © 2017 IUBMB Life, 69(8):578-594, 2017.
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17
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Fall T, Mendelson M, Speliotes EK. Recent Advances in Human Genetics and Epigenetics of Adiposity: Pathway to Precision Medicine? Gastroenterology 2017; 152:1695-1706. [PMID: 28214526 PMCID: PMC5576453 DOI: 10.1053/j.gastro.2017.01.054] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 01/26/2017] [Accepted: 01/30/2017] [Indexed: 12/26/2022]
Abstract
Obesity is a heritable trait that contributes to substantial global morbidity and mortality. Here, we summarize findings from the past decade of genetic and epigenetic research focused on unravelling the underpinnings of adiposity. More than 140 genetic regions now are known to influence adiposity traits. The genetics of general adiposity, as measured by body mass index, and that of abdominal obesity, as measured by waist-to-hip ratio, have distinct biological backgrounds. Gene expression associated with general adiposity is enriched in the nervous system. In contrast, genes associated with abdominal adiposity function in adipose tissue. Recent population-based epigenetic analyses have highlighted additional distinct loci. We discuss how associated genetic variants can lead to understanding causal mechanisms, and to disentangling reverse causation in epigenetic analyses. Discoveries emerging from population genomics are identifying new disease markers and potential novel drug targets to better define and combat obesity and related diseases.
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Affiliation(s)
- Tove Fall
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Michael Mendelson
- The Framingham Heart Study, Framingham, Massachusetts,Population Sciences Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland,Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
| | - Elizabeth K. Speliotes
- Department of Internal Medicine, Division of Gastroenterology,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan
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18
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Dennis J, Medina-Rivera A, Truong V, Antounians L, Zwingerman N, Carrasco G, Strug L, Wells P, Trégouët DA, Morange PE, Wilson MD, Gagnon F. Leveraging cell type specific regulatory regions to detect SNPs associated with tissue factor pathway inhibitor plasma levels. Genet Epidemiol 2017; 41:455-466. [PMID: 28421636 DOI: 10.1002/gepi.22049] [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: 07/19/2016] [Revised: 03/07/2017] [Accepted: 03/14/2017] [Indexed: 11/10/2022]
Abstract
Tissue factor pathway inhibitor (TFPI) regulates the formation of intravascular blood clots, which manifest clinically as ischemic heart disease, ischemic stroke, and venous thromboembolism (VTE). TFPI plasma levels are heritable, but the genetics underlying TFPI plasma level variability are poorly understood. Herein we report the first genome-wide association scan (GWAS) of TFPI plasma levels, conducted in 251 individuals from five extended French-Canadian Families ascertained on VTE. To improve discovery, we also applied a hypothesis-driven (HD) GWAS approach that prioritized single nucleotide polymorphisms (SNPs) in (1) hemostasis pathway genes, and (2) vascular endothelial cell (EC) regulatory regions, which are among the highest expressers of TFPI. Our GWAS identified 131 SNPs with suggestive evidence of association (P-value < 5 × 10-8 ), but no SNPs reached the genome-wide threshold for statistical significance. Hemostasis pathway genes were not enriched for TFPI plasma level associated SNPs (global hypothesis test P-value = 0.147), but EC regulatory regions contained more TFPI plasma level associated SNPs than expected by chance (global hypothesis test P-value = 0.046). We therefore stratified our genome-wide SNPs, prioritizing those in EC regulatory regions via stratified false discovery rate (sFDR) control, and reranked the SNPs by q-value. The minimum q-value was 0.27, and the top-ranked SNPs did not show association evidence in the MARTHA replication sample of 1,033 unrelated VTE cases. Although this study did not result in new loci for TFPI, our work lays out a strategy to utilize epigenomic data in prioritization schemes for future GWAS studies.
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Affiliation(s)
- Jessica Dennis
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Alejandra Medina-Rivera
- Program in Genetics and Genome Biology, the Hospital for Sick Children, Toronto, Canada.,Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Juriquilla, Querétaro, México
| | - Vinh Truong
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Lina Antounians
- Program in Genetics and Genome Biology, the Hospital for Sick Children, Toronto, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Nora Zwingerman
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Giovana Carrasco
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Juriquilla, Querétaro, México
| | - Lisa Strug
- Program in Genetics and Genome Biology, the Hospital for Sick Children, Toronto, Canada.,Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Phil Wells
- Ottawa Hospital Research Institute, Ottawa, Canada
| | - David-Alexandre Trégouët
- Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,INSERM, UMR_S 1166, Paris, France.,ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Pierre-Emmanuel Morange
- INSERM, UMR_S 1062, Marseille, France.,Inra, UMR_INRA 1260, Marseille, France.,Aix Marseille Université, Marseille, France
| | - Michael D Wilson
- Program in Genetics and Genome Biology, the Hospital for Sick Children, Toronto, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Canada.,Heart & Stroke Richard Lewar Centre of Excellence in Cardiovascular Research, Toronto, Canada
| | - France Gagnon
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
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19
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Sayols-Baixeras S, Irvin MR, Arnett DK, Elosua R, Aslibekyan SW. Epigenetics of Lipid Phenotypes. CURRENT CARDIOVASCULAR RISK REPORTS 2016; 10:31. [PMID: 28496562 PMCID: PMC5421987 DOI: 10.1007/s12170-016-0513-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Dyslipidemia is a well-established risk factor for cardiovascular disease, the main cause of death worldwide. Blood lipid profiles are patterned by both genetic and environmental factors. In recent years, epigenetics has emerged as a paradigm that unifies these influences. In this review, we have summarized the latest evidence implicating epigenetic mechanisms-DNA methylation, histone modification, and regulation by RNAs-in lipid homeostasis. Key findings have emerged in a number of novel epigenetic loci located in biologically plausible genes (e.g. CPT1A, ABCG1, SREBF1, and others), as well as microRNA-33a/b. Evidence from animal and cell culture models suggests a complex interplay between different classes of epigenetic processes in the lipid-related genomic regions. While epigenetic findings hold the potential to explain the interindividual variability in lipid profiles as well as the underlying mechanisms, they have yet to be translated into effective therapies for dyslipidemia.
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Affiliation(s)
- Sergi Sayols-Baixeras
- Cardiovascular Epidemiology and Genetics Group, Institut Hospital del Mar d'Investigacions Mediques (IMIM), Dr. Aiguader, 88, Barcelona 08003, Spain, Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain, (tel) 34-93-316-07-27, (fax) 34-93-316-04-10
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 220F, Birmingham, AL 35205, USA, (tel) 1-205-975-7672, (fax)1-205-975-3329
| | - Donna K Arnett
- College of Public Health, University of Kentucky, 111 Washington Avenue, Lexington, KY 40536, USA, (tel) 1-859-257-5678, (fax) 1-859-257-8811
| | - Roberto Elosua
- Cardiovascular Epidemiology and Genetics Group, Institut Hospital del Mar d'Investigacions Mediques (IMIM), Dr. Aiguader, 88, Barcelona 08003, Spain, (tel) 34-93-316-08-00, (fax) 34-93-316-04-10
| | - Stella W Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 230J, Birmingham, AL 35205, USA, (tel) 1-205-975-7675, (fax) 1-205-975-3329
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20
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Dekkers KF, van Iterson M, Slieker RC, Moed MH, Bonder MJ, van Galen M, Mei H, Zhernakova DV, van den Berg LH, Deelen J, van Dongen J, van Heemst D, Hofman A, Hottenga JJ, van der Kallen CJH, Schalkwijk CG, Stehouwer CDA, Tigchelaar EF, Uitterlinden AG, Willemsen G, Zhernakova A, Franke L, 't Hoen PAC, Jansen R, van Meurs J, Boomsma DI, van Duijn CM, van Greevenbroek MMJ, Veldink JH, Wijmenga C, van Zwet EW, Slagboom PE, Jukema JW, Heijmans BT. Blood lipids influence DNA methylation in circulating cells. Genome Biol 2016; 17:138. [PMID: 27350042 PMCID: PMC4922056 DOI: 10.1186/s13059-016-1000-6] [Citation(s) in RCA: 126] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 06/06/2016] [Indexed: 01/19/2023] Open
Abstract
Background Cells can be primed by external stimuli to obtain a long-term epigenetic memory. We hypothesize that long-term exposure to elevated blood lipids can prime circulating immune cells through changes in DNA methylation, a process that may contribute to the development of atherosclerosis. To interrogate the causal relationship between triglyceride, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels and genome-wide DNA methylation while excluding confounding and pleiotropy, we perform a stepwise Mendelian randomization analysis in whole blood of 3296 individuals. Results This analysis shows that differential methylation is the consequence of inter-individual variation in blood lipid levels and not vice versa. Specifically, we observe an effect of triglycerides on DNA methylation at three CpGs, of LDL cholesterol at one CpG, and of HDL cholesterol at two CpGs using multivariable Mendelian randomization. Using RNA-seq data available for a large subset of individuals (N = 2044), DNA methylation of these six CpGs is associated with the expression of CPT1A and SREBF1 (for triglycerides), DHCR24 (for LDL cholesterol) and ABCG1 (for HDL cholesterol), which are all key regulators of lipid metabolism. Conclusions Our analysis suggests a role for epigenetic priming in end-product feedback control of lipid metabolism and highlights Mendelian randomization as an effective tool to infer causal relationships in integrative genomics data. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1000-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Koen F Dekkers
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Maarten van Iterson
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Roderick C Slieker
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Matthijs H Moed
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Marc Jan Bonder
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Michiel van Galen
- Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Hailiang Mei
- Sequence Analysis Support Core, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Daria V Zhernakova
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, The Netherlands
| | - Joris Deelen
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Albert Hofman
- Department of Genetic Epidemiology, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Jouke J Hottenga
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Carla J H van der Kallen
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Casper G Schalkwijk
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Ettje F Tigchelaar
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Peter A C 't Hoen
- Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Genetic Epidemiology, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, The Netherlands
| | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | | | - Erik W van Zwet
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands.
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21
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Abstract
PURPOSE OF REVIEW The interplay between lipids and epigenetic mechanisms has recently gained increased interest because of its relevance for common diseases and most notably atherosclerosis. This review discusses recent advances in unravelling this interplay with a particular focus on promising approaches and methods that will be able to establish causal relationships. RECENT FINDINGS Complementary approaches uncovered close links between circulating lipids and epigenetic mechanisms at multiple levels. A characterization of lipid-associated genetic variants suggests that these variants exert their influence on lipid levels through epigenetic changes in the liver. Moreover, exposure of monocytes to lipids persistently alters their epigenetic makeup resulting in more proinflammatory cells. Hence, epigenetic changes can both impact on and be induced by lipids. SUMMARY It is the combined application of technological advances to probe epigenetic modifications at a genome-wide scale and methodological advances aimed at causal inference (including Mendelian randomization and integrative genomics) that will elucidate the interplay between circulating lipids and epigenetics. Understanding its role in the development of atherosclerosis holds the promise of identifying a new category of therapeutic targets, since epigenetic changes are amenable to reversal.
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Affiliation(s)
- Koen F Dekkers
- aMolecular Epidemiology section bDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
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22
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Mamtani M, Kulkarni H, Dyer TD, Göring HHH, Neary JL, Cole SA, Kent JW, Kumar S, Glahn DC, Mahaney MC, Comuzzie AG, Almasy L, Curran JE, Duggirala R, Blangero J, Carless MA. Genome- and epigenome-wide association study of hypertriglyceridemic waist in Mexican American families. Clin Epigenetics 2016; 8:6. [PMID: 26798409 PMCID: PMC4721061 DOI: 10.1186/s13148-016-0173-x] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Accepted: 01/13/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND There is growing interest in the hypertriglyceridemic waist (HTGW) phenotype, defined as high waist circumference (≥95 cm in males and ≥80 cm in females) combined with high serum triglyceride concentration (≥2.0 mmol/L in males and ≥1.5 mmol/L in females) as a marker of type 2 diabetes (T2D) and cardiovascular disease. However, the prevalence of this phenotype in high-risk populations, its association with T2D, and the genetic or epigenetic influences on HTGW are not well explored. Using data from large, extended families of Mexican Americans (a high-risk minority population in the USA) we aimed to: (1) estimate the prevalence of this phenotype, (2) test its association with T2D and related traits, and (3) dissect out the genetic and epigenetic associations with this phenotype using genome-wide and epigenome-wide studies, respectively. RESULTS Data for this study was from 850 Mexican American participants (representing 39 families) recruited under the ongoing San Antonio Family Heart Study, 26 % of these individuals had HTGW. This phenotype was significantly heritable (h (2) r = 0.52, p = 1.1 × 10(-5)) and independently associated with T2D as well as fasting glucose levels and insulin resistance. We conducted genome-wide association analyses using 759,809 single nucleotide polymorphisms (SNPs) and epigenome-wide association analyses using 457,331 CpG sites. There was no evidence of any SNP associated with HTGW at the genome-wide level but two CpG sites (cg00574958 and cg17058475) in CPT1A and one CpG site (cg06500161) in ABCG1 were significantly associated with HTGW and remained significant after adjusting for the closely related components of metabolic syndrome. CPT1A holds a cardinal position in the metabolism of long-chain fatty acids while ABCG1 plays a role in triglyceride metabolism. CONCLUSIONS Our results reemphasize the value of HTGW as a marker of T2D. This phenotype shows association with DNA methylation within CPT1A and ABCG1, genes involved in fatty acid and triglyceride metabolism. Our results underscore the importance of epigenetics in a clinically informative phenotype.
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Affiliation(s)
- Manju Mamtani
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Hemant Kulkarni
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Thomas D Dyer
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Harald H H Göring
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Jennifer L Neary
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Jack W Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Satish Kumar
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, CT USA ; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT USA
| | - Michael C Mahaney
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Melanie A Carless
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
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23
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van Dijk SJ, Tellam RL, Morrison JL, Muhlhausler BS, Molloy PL. Recent developments on the role of epigenetics in obesity and metabolic disease. Clin Epigenetics 2015; 7:66. [PMID: 27408648 PMCID: PMC4940755 DOI: 10.1186/s13148-015-0101-5] [Citation(s) in RCA: 121] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 06/29/2015] [Indexed: 12/20/2022] Open
Abstract
The increased prevalence of obesity and related comorbidities is a major public health problem. While genetic factors undoubtedly play a role in determining individual susceptibility to weight gain and obesity, the identified genetic variants only explain part of the variation. This has led to growing interest in understanding the potential role of epigenetics as a mediator of gene-environment interactions underlying the development of obesity and its associated comorbidities. Initial evidence in support of a role of epigenetics in obesity and type 2 diabetes mellitus (T2DM) was mainly provided by animal studies, which reported epigenetic changes in key metabolically important tissues following high-fat feeding and epigenetic differences between lean and obese animals and by human studies which showed epigenetic changes in obesity and T2DM candidate genes in obese/diabetic individuals. More recently, advances in epigenetic methodologies and the reduced cost of epigenome-wide association studies (EWAS) have led to a rapid expansion of studies in human populations. These studies have also reported epigenetic differences between obese/T2DM adults and healthy controls and epigenetic changes in association with nutritional, weight loss, and exercise interventions. There is also increasing evidence from both human and animal studies that the relationship between perinatal nutritional exposures and later risk of obesity and T2DM may be mediated by epigenetic changes in the offspring. The aim of this review is to summarize the most recent developments in this rapidly moving field, with a particular focus on human EWAS and studies investigating the impact of nutritional and lifestyle factors (both pre- and postnatal) on the epigenome and their relationship to metabolic health outcomes. The difficulties in distinguishing consequence from causality in these studies and the critical role of animal models for testing causal relationships and providing insight into underlying mechanisms are also addressed. In summary, the area of epigenetics and metabolic health has seen rapid developments in a short space of time. While the outcomes to date are promising, studies are ongoing, and the next decade promises to be a time of productive research into the complex interactions between the genome, epigenome, and environment as they relate to metabolic disease.
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Affiliation(s)
- Susan J van Dijk
- CSIRO Food and Nutrition Flagship, PO Box 52, North Ryde, NSW 1670 Australia
| | - Ross L Tellam
- CSIRO Agriculture Flagship, 306 Carmody Road, St Lucia, QLD 4067 Australia
| | - Janna L Morrison
- Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, GPO Box 2471, Adelaide, SA 5001 Australia
| | - Beverly S Muhlhausler
- FOODplus Research Centre, Waite Campus, The University of Adelaide, PMB 1, Glen Osmond, SA 5064 Australia.,Women's and Children's Health Research Institute, 72 King William Road, North Adelaide, SA 5006 Australia
| | - Peter L Molloy
- CSIRO Food and Nutrition Flagship, PO Box 52, North Ryde, NSW 1670 Australia
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24
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Demerath EW, Guan W, Grove ML, Aslibekyan S, Mendelson M, Zhou YH, Hedman ÅK, Sandling JK, Li LA, Irvin MR, Zhi D, Deloukas P, Liang L, Liu C, Bressler J, Spector TD, North K, Li Y, Absher DM, Levy D, Arnett DK, Fornage M, Pankow JS, Boerwinkle E. Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci. Hum Mol Genet 2015; 24:4464-79. [PMID: 25935004 DOI: 10.1093/hmg/ddv161] [Citation(s) in RCA: 230] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 04/13/2015] [Indexed: 02/06/2023] Open
Abstract
Obesity is an important component of the pathophysiology of chronic diseases. Identifying epigenetic modifications associated with elevated adiposity, including DNA methylation variation, may point to genomic pathways that are dysregulated in numerous conditions. The Illumina 450K Bead Chip array was used to assay DNA methylation in leukocyte DNA obtained from 2097 African American adults in the Atherosclerosis Risk in Communities (ARIC) study. Mixed-effects regression models were used to test the association of methylation beta value with concurrent body mass index (BMI) and waist circumference (WC), and BMI change, adjusting for batch effects and potential confounders. Replication using whole-blood DNA from 2377 White adults in the Framingham Heart Study and CD4+ T cell DNA from 991 Whites in the Genetics of Lipid Lowering Drugs and Diet Network Study was followed by testing using adipose tissue DNA from 648 women in the Multiple Tissue Human Expression Resource cohort. Seventy-six BMI-related probes, 164 WC-related probes and 8 BMI change-related probes passed the threshold for significance in ARIC (P < 1 × 10(-7); Bonferroni), including probes in the recently reported HIF3A, CPT1A and ABCG1 regions. Replication using blood DNA was achieved for 37 BMI probes and 1 additional WC probe. Sixteen of these also replicated in adipose tissue, including 15 novel methylation findings near genes involved in lipid metabolism, immune response/cytokine signaling and other diverse pathways, including LGALS3BP, KDM2B, PBX1 and BBS2, among others. Adiposity traits are associated with DNA methylation at numerous CpG sites that replicate across studies despite variation in tissue type, ethnicity and analytic approaches.
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Affiliation(s)
- Ellen W Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA,
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA
| | - Megan L Grove
- Human Genetics Center, School of Public Health, University of Texas Health Sciences Center at Houston, Houston, TX 77030, USA
| | | | - Michael Mendelson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20824, USA, Framingham Heart Study, Framingham, MA 01702, USA, Department of Cardiology, Boston Children's Hospital, Boston, MA 02215, USA
| | - Yi-Hui Zhou
- Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA
| | - Åsa K Hedman
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK, Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Johanna K Sandling
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Li-An Li
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Degui Zhi
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK, Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Liming Liang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20824, USA, Framingham Heart Study, Framingham, MA 01702, USA, Departments of Epidemiology and Biostatistics, School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA 01702, USA, Department of Biostatistics, Boston University, Boston, MA 02118, USA
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Sciences Center at Houston, Houston, TX 77030, USA
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Kari North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Yun Li
- Department of Genetics, Department of Biostatistics and Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Devin M Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, AL 34806, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20824, USA, Framingham Heart Study, Framingham, MA 01702, USA
| | | | - Myriam Fornage
- Human Genetics Center, School of Public Health, University of Texas Health Sciences Center at Houston, Houston, TX 77030, USA, Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Sciences Center at Houston, Houston, TX 77030, USA, Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
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25
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Long-range epigenetic regulation is conferred by genetic variation located at thousands of independent loci. Nat Commun 2015; 6:6326. [PMID: 25716334 PMCID: PMC4351585 DOI: 10.1038/ncomms7326] [Citation(s) in RCA: 94] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 01/19/2015] [Indexed: 01/06/2023] Open
Abstract
The interplay between genetic and epigenetic variation is only partially understood. One form of epigenetic variation is methylation at CpG sites, which can be measured as methylation quantitative trait loci (meQTL). Here we report that in a panel of lymphocytes from 1,748 individuals, methylation levels at 1,919 CpG sites are correlated with at least one distal (trans) single-nucleotide polymorphism (SNP) (P<3.2 × 10(-13); FDR<5%). These trans-meQTLs include 1,657 SNP-CpG pairs from different chromosomes and 262 pairs from the same chromosome that are >1 Mb apart. Over 90% of these pairs are replicated (FDR<5%) in at least one of two independent data sets. Genomic loci harbouring trans-meQTLs are significantly enriched (P<0.001) for long non-coding transcripts (2.2-fold), known epigenetic regulators (2.3-fold), piwi-interacting RNA clusters (3.6-fold) and curated transcription factors (4.1-fold), including zinc-finger proteins (8.75-fold). Long-range epigenetic networks uncovered by this approach may be relevant to normal and disease states.
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26
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DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nat Commun 2014; 5:5592. [PMID: 25424739 PMCID: PMC4246417 DOI: 10.1038/ncomms6592] [Citation(s) in RCA: 363] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 10/16/2014] [Indexed: 12/22/2022] Open
Abstract
Periconceptional diet may persistently influence DNA methylation levels with phenotypic consequences. However, a comprehensive assessment of the characteristics of prenatal malnutrition-associated differentially methylated regions (P-DMRs) is lacking in humans. Here we report on a genome-scale analysis of differential DNA methylation in whole blood after periconceptional exposure to famine during the Dutch Hunger Winter. We show that P-DMRs preferentially occur at regulatory regions, are characterized by intermediate levels of DNA methylation and map to genes enriched for differential expression during early development. Validation and further exploratory analysis of six P-DMRs highlight the critical role of gestational timing. Interestingly, differential methylation of the P-DMRs extends along pathways related to growth and metabolism. P-DMRs located in INSR and CPT1A have enhancer activity in vitro and differential methylation is associated with birth weight and serum LDL cholesterol. Epigenetic modulation of pathways by prenatal malnutrition may promote an adverse metabolic phenotype in later life. The long-term effect of prenatal nutrition on gene regulation is largely unknown. Here the authors identify differentially methylated regions in whole blood from individuals exposed to famine early after conception, and show that these epigenetic changes may have adverse metabolic consequences later in life.
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27
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Aïssi D, Dennis J, Ladouceur M, Truong V, Zwingerman N, Rocanin-Arjo A, Germain M, Paton TA, Morange PE, Gagnon F, Trégouët DA. Genome-wide investigation of DNA methylation marks associated with FV Leiden mutation. PLoS One 2014; 9:e108087. [PMID: 25265411 PMCID: PMC4179266 DOI: 10.1371/journal.pone.0108087] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 08/12/2014] [Indexed: 12/31/2022] Open
Abstract
In order to investigate whether DNA methylation marks could contribute to the incomplete penetrance of the FV Leiden mutation, a major genetic risk factor for venous thrombosis (VT), we measured genome-wide DNA methylation levels in peripheral blood samples of 98 VT patients carrying the mutation and 251 VT patients without the mutation using the dedicated Illumina HumanMethylation450 array. The genome-wide analysis of 388,120 CpG probes identified three sites mapping to the SLC19A2 locus whose DNA methylation levels differed significantly (p<3 10−8) between carriers and non-carriers. The three sites replicated (p<2 10−7) in an independent sample of 214 individuals from five large families ascertained on VT and FV Leiden mutation among which 53 were carriers and 161 were non-carriers of the mutation. In both studies, these three CpG sites were also associated (2.33 10−11<p<3.02 10−4) with biomarkers of the Protein C pathway known to be influenced by the FV Leiden mutation. A comprehensive linkage disequilibrium (LD) analysis of the whole locus revealed that the original associations were due to LD between the FV Leiden mutation and a block of single nucleotide polymorphisms (SNP) located in SLC19A2. After adjusting for this block of SNPs, the FV Leiden mutation was no longer associated with any CpG site (p>0.05). In conclusion, our work clearly illustrates some promises and pitfalls of DNA methylation investigations on peripheral blood DNA in large epidemiological cohorts. DNA methylation levels at SLC19A2 are influenced by SNPs in LD with FV Leiden, but these DNA methylation marks do not explain the incomplete penetrance of the FV Leiden mutation.
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Affiliation(s)
- Dylan Aïssi
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Jessica Dennis
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Martin Ladouceur
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
- Centre de Recherches du CHUM, Montréal, Canada
| | - Vinh Truong
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Nora Zwingerman
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Ares Rocanin-Arjo
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Marine Germain
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Tara A. Paton
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Pierre-Emmanuel Morange
- Aix-Marseille University, UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Marseille, France
- INSERM, UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Marseille, France
- Laboratory of Haematology, La Timone Hospital, Marseille, France
| | - France Gagnon
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - David-Alexandre Trégouët
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
- * E-mail:
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