Identification of novel hyper- or hypomethylated CpG sites and genes associated with atherosclerotic plaque using an epigenome-wide association study
- Authors:
- Published online on: February 2, 2018 https://doi.org/10.3892/ijmm.2018.3453
- Pages: 2724-2732
-
Copyright: © Yamada et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Atherosclerosis is a chronic inflammatory vascular disease characterized by infiltration of lipid particles into the arterial wall, leading to inflammatory responses accompanied by endothelial cell dysfunction and recruitment of inflammatory and immune cells (1). Previous studies have reported that epigenetic mechanisms may be associated with the pathogenesis of atherosclerosis and may account for some of the missing heritability in atherosclerotic cardiovascular disease (2,3). Epigenetic control of transcription results in a heritable change in gene expression without a change in DNA sequence. DNA methylation and post-translational modifications of histone tails, including lysine methylation and acetylation, are the most common mechanisms that cause changes in DNA accessibility (3).
DNA methylation is a vital epigenetic modification that has been implicated in the pathogenesis of a number of common complex diseases, including atherosclerosis and cardiovascular disease (4–12). DNA methylation serves a role in a variety of cellular processes (5,13), is affected by environmental factors and is influenced by age, sex and genetic variants (4,6). As such, elucidating the differences in DNA methylation patterns between atherosclerotic plaque lesions and plaque-free intima tissue may provide an insight into the underlying molecular mechanisms of atherosclerotic cardiovascular disease. Although previous analyses of DNA methylation have identified various CpG sites and genes associated with atherosclerosis in European-ancestry (14–17) or Mexican (18) populations, the pattern of DNA methylation in the atherosclerotic human aorta at the genome-wide level has remained relatively uncharacterized in Japanese individuals.
A previous study examined DNA methylation at ~450,000 CpG sites (Human Methylation 450 BeadChip; Illumina, Inc., San Diego, CA, USA) in 48 human aortic intima specimens obtained from 24 autopsy cases (19); it was demonstrated that DNA methylation was significantly (P<1.03×10−7) increased at 30 CpG sites and reduced at 15 CpG sites in atheromatous plaque tissues compared with plaque-free intima (19). In the present study, to further assess the association between DNA methylation and the development of atherosclerosis, a genome-wide analysis of DNA methylation at ~853,000 CpG sites (Infinium MethylationEPIC BeadChip) was performed in 128 human aortic intima specimens obtained from 64 autopsy cases. Compared with the Human Methylation 450 BeadChip array, the newly developed Infinium MethylationEPIC BeadChip array is a more reliable tool for comprehensive DNA methylation analyses (20). A total of 16 significantly hyper- or hypomethylated novel genes in atheromatous plaque lesions were identified.
Materials and methods
Study specimens
Characteristics of the 64 deceased patients from whom tissues were harvested for use in the present study are presented in Table I. Inter-individual variation in DNA methylation was detected for the same cell and tissue type of unrelated individuals (21,22). To avoid the effects of such variation, intra-individual paired comparisons of DNA methylation were performed between atheromatous plaque lesions and corresponding plaque-free intima. A total of 128 postmortem specimens of the aortic intima were obtained from 64 deceased Japanese patients for analysis. The specimens were collected specifically for this study in participating hospitals (Gifu Prefectural Tajimi Hospital, Tajimi; Japanese Red Cross Nagoya First Hospital, Nagoya; Kasugai Municipal Hospital, Kasugai; Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan) between August 2012 and August 2017. A total of 48 of these specimens obtained from 24 subjects were also analyzed in a previous study (19).
Immunohistochemical analysis of atheromatous plaque lesions and plaque-free intima
Specimens of atheromatous plaque lesions and plaque-free intima were subjected to immunohistochemical analysis as described previously (19). Formalin (20%)-fixed (6 h at room temperature) and paraffin-embedded sections (3 µm) were deparaffinized, hydrated, immersed in 0.01 mol/l citrate buffer (pH 6.0), and heated for 10 min in a pressure cooker. Endogenous peroxidase was blocked with 3% hydrogen peroxide for 5 min at room temperature and sections were incubated for 30 min at room temperature with mouse monoclonal antibodies against human α-smooth muscle actin (1:100; M0851; Dako; Agilent Technologies, Inc., Santa Clara, CA, USA), CD68 (1:100; N1576; Dako; Agilent Technologies, Inc.) and CD45 (1:100; 722071; Nichirei Bioscience, Inc., Tokyo, Japan). Proteinase K (0.1%) pre-treatment (5 min at room temperature) was used for CD68 and CD45. Sections were subsequently incubated for 30 min at room temperature with horseradish peroxidase (HRP)-conjugated goat poly-clonal antibody to rabbit and mouse immunoglobulin (1:100; K5007; Dako; Agilent Technologies, Inc.). Sections were stained with diaminobenzidine for 10 min at room temperature (ChemMate Envision/HRP kit; K5007; Dako; Agilent Technologies, Inc.).
The present study was approved by the Committees on the Ethics of Human Research of: Mie University Graduate School of Medicine, Tsu; Tokyo Metropolitan Institute of Gerontology, Tokyo; Japanese Red Cross Nagoya First Hospital, Nagoya; Gifu Prefectural Tajimi Hospital, Tajimi; and Kasugai Municipal Hospital, Kasugai (all Japan). Written informed consent was obtained from the families of the deceased patients.
Genome-wide analysis of DNA methylation
The intima tissue samples were frozen at −80°C immediately following dissection from the aorta. The finely minced (cut to ~1 mm3 with a surgical blade) tissue was subsequently mixed with 250 µl phenol-chloroform and centrifuged at 12,000 × g for 5 min at room temperature. The upper aqueous phase was collected for the precipitation of genomic DNA and 100% ethanol containing 0.3 mol/l sodium acetate was added and incubated at −30°C for 30 min. The mixture was then centrifuged at 12,000 × g for 20 min at 4°C and the DNA pellet was dissolved in Tris-EDTA buffer (pH 7.4; Takara Bio, Inc., Otsu, Japan). Bisulfite conversion of genomic DNA was performed using an EZ DNA Methylation kit (Zymo Research Corp., Irvine, CA, USA).
The bisulfite-modified genomic DNA was analyzed for DNA methylation with a DNA methylation-specific microarray (Infinium MethylationEPIC BeadChip, Illumina, Inc.) that included 853,307 CpG sitets distributed throughout the entire genome. A total of 439,562 (91.1%) of these sites were assessed in a previous study (19) using the Human Methylation 450 BeadChip. Furthermore, 413,745 additional CpG sites, including 333,265 located in enhancer regions, were identified by the Encyclopedia of DNA elements (23) and FANTOM5 (24) projects. The Infinium Methylation EPIC BeadChip microarray also interrogates 2,880 CNG (C, cytosine; N, any nucleotide; G, guanine) sites (20).
Methylation at CpG sites in genomic DNA isolated from atheromatous plaque lesions or plaque-free intima was assessed using a GenomeStudio Methylation Module (Illumina, Inc.). Call rate values for the 128 specimens were all >99.3%, with a mean value of 99.7%. The DNA methylation level at each CpG site was calculated as the β value, where β = (intensity of the methylated allele)/(intensity of the methylated allele + intensity of the unmethylated allele + 100) (25).
Statistical analysis
The levels of DNA methylation at 853,307 CpG sites (β values) were compared between atheromatous plaque lesions and plaque-free intima using the unpaired Student's t-test. To compensate for multiple comparisons, Bonferroni's correction for the statistical significance of associations was used. The significance level was thus P<5.86×10−8 (0.05/853,307) for the genome-wide analysis of DNA methylation. Statistical tests were performed using JMP Genomics 6.0 software (SAS Institute, Inc., Cary, NC, USA).
Analysis of public databases
The potential association between CpG sites and genes identified in the present study with atherosclerosis was assessed by searching public databases between January 2007 and October 2017 [Google Scholar (http://scholar.google.co.jp); PubMed (National Center for Biotechnology Information, Bethesda, MD, USA; https://www.ncbi.nlm.nih.gov/pubmed), GWAS Catalog (National Human Genome Research Institute, Bethesda, MD, USA and European Bioinformatics Institute, Hinxton, UK; http://www.ebi.ac.uk/gwas) and GWAS Central (http://www.gwascentral.org)] for previously associated phenotypes. Genome-wide analyses of DNA methylation or genome-wide association studies for atherosclerosis or cardiovascular disease were included in the results. DNA methylation analyses or association studies of candidate genes were excluded.
Results
Study specimens
In the present study, the methylation status of 853,307 CpG sites of genomic DNA purified from atheromatous plaque lesions and corresponding plaque-free intima were compared. Manhattan and volcano plots for the genome-wide analysis of differences in methylation status at these sites are presented in Figs. 1 and 2, respectively. Following Bonferroni's correction, the methylation of 2,679 CpG sites was revealed to differ significantly (P<5.86×10−8) between atheromatous plaque lesions and corresponding plaque-free intima. The 50 CpG sites with the lowest P-values (P≤3.48×10−12) are presented in Table II; to the best of our knowledge, none of these sites have previously been reported to be associated with atherosclerosis.
Table IIA total of 50 CpG sites with the lowest P-values (P≤3.48×10−12) for the comparison of methylation status (β values) between atheromatous plaque lesions and plaque-free intima by a genome-wide analysis of DNA methylation. |
Genome-wide analysis of gene methylation
Of the 2,679 CpG sites significantly associated with atherosclerosis, 2,272 and 407 sites were hyper- or hypomethylated, respectively, in atheromatous plaque lesions compared with plaque-free intima. Among the 2,272 CpG sites that were hypermethylated in atheromatous plaque lesions, 5 had a β value difference (plaque lesion-plaque-free intima) >0.15 (Table III) and 11 had a β ratio (plaque lesion/plaque-free intima) >1.50 (Table IV). Among these CpG sites, cg15648389 of homeobox (HOX) C4 (15), cg17466857 of HOXA11-HOXA11-AS (14,15), cg15700739 of HOXC4/HOXC5 (17) and cg02384661 of HOXC11 (15) have previously been demonstrated to be associated with atherosclerosis.
Table IIIFive CpG sites whose methylation status differed significantly (P<5.86×10−8) between atheromatous plaque lesions and plaque-free intima with a difference in β values (plaque lesion-plaque-free intima) of >0.15. |
Table IVEleven CpG sites whose methylation status differed significantly (P<5.86×10−8) between atheromatous plaque lesions and plaque-free intima with a β ratio (plaque/plaque-free) of >1.50. |
Among the 407 CpG sites hypomethylated in atheromatous plaque lesions, 15 were observed to have a β value difference <−0.15 (Table V) and 17 sites had a β ratio <0.67 (Table VI). Of these CpG sites, cg03217995 of HOXA9 (15) was previously reported to be associated with atherosclerosis.
Table VFifteen CpG sites whose methylation status differed significantly (P<5.86×10−8) between atheromatous plaque lesions and plaque-free intima with a difference in β values (plaque lesion-plaque-free intima) of <−0.15. |
Table VISeventeen CpG sites whose methylation status differed significantly (P<5.86×10−8) between atheromatous plaque lesions and plaque-free intima with a β ratio (plaque/plaque-free) of <0.67. |
Discussion
Atherosclerosis occurs as a result of endothelial damage and dysfunction that leads to the accumulation and oxidation of low-density lipoprotein (LDL) cholesterol in the vessel wall. Monocytes migrate from blood into the subendothelial intima and transform into macrophages, which accumulate lipids as foam cells in the lipid core of the atherosclerotic plaque (26,27). Inflammatory and thrombotic processes serve primary roles in the formation of atherosclerotic lesions and subsequent plaque rupture that causes acute coronary syndrome (26,27). A number of mechanisms by which changes in DNA methylation may affect the development of atherosclerosis have been identified. These mechanisms include the promotion of inflammation, endothelial dysfunction, proliferation and migration of smooth muscle cells or monocyte-macrophages, extracellular matrix production, homocysteine metabolism and apoptosis of vascular cells (12,28,29). However, given the dynamic nature and tissue heterogeneity of atherosclerosis, defining the precise role of DNA methylation in the pathogenesis of this condition is challenging (12). A marked increase in DNA methylation in atherosclerotic lesions may warrant the development of DNA demethylation agents, including DNA methyltransferase inhibitors, for the treatment of atherosclerotic cardiovascular disease (29).
Arteriosclerosis is classified into three types: atherosclerosis, Mönckeberg medial sclerosis and arteriolosclerosis (30). Given that atherosclerosis is the most important pathological change in the development of cardiovascular disease (1,26,27,30), the aortic intima was examined in the present study. The results revealed that 2,272 and 407 CpG sites were hyper- and hypomethylated, respectively, in genomic DNA isolated from atheromatous plaque lesions compared with matched plaque-free intima. A total of 5 CpG sites had a >0.15 difference in β values and 11 CpG sites had a β ratio of >1.50. Among these CpG sites, cg15648389 of HOXC4 (15), cg17466857 of HOXA11-HOXA11-AS (14,15), cg15700739 of HOXC4/HOXC5 (17) and cg02384661 of HOXC11 (15) have previously been reported to be associated with atherosclerosis. A total of 10 novel CpG sites (cg26809635, cg23786812, cg27178293, cg12873661, cg18040901, cg00576279, cg08857479, cg00862376, cg00187380, cg05951084) that were significantly hypermethylated in atheromatous plaque lesions compared with plaque-free intima were identified in the present study. Of these 10 CpG sites, cg18040901 is located in the HOX transcript antisense RNA (HOTAIR) gene, whose methylation status has not previously been associated with atherosclerosis. The HOTAIR gene is located at chromosome 12q13.13 and encodes a protein that has been reported to promote the proliferation and migration of vascular endothelial cells and to protect these cells against oxidized LDL-induced injury and apoptosis (31). Endothelial damage and dysfunction are early key processes in the development of atherosclerosis, resulting in the accumulation and oxidation of LDL-cholesterol in the arterial wall (26,27), and so HOTAIR may protect against this (31).
A total of 15 CpG sites with a <−0.15 difference in β values and 17 CpG sites with a β ratio of <0.67 were identified in the present study, including 2 CpG sites (cg13669152, cg13335081) located in enhancer regions as described by the FANTOM5 project (24). Of these sites, cg03217995 of HOXA9 (15) was previously reported to be associated with atherosclerosis. Additionally, 28 novel CpG sites that were significantly hypomethylated in atheromatous plaque lesions compared with plaque-free intima were identified in the present study: cg18461866, cg21007852, cg25227803, cg02886033, cg11052578, cg13669152, cg10224937, cg09699744, cg21310745, cg01016793, cg10374314, cg17820365, cg09164580, cg06136628, cg22055728, cg13335081, cg23345300, cg04122553, cg24719020, cg14554869, cg11348442, cg10893095, cg26437522, cg01428378, cg25541958, cg19783626, cg00980698 and cg12110087. Of these sites, 16 are located in genes whose methylation status has not previously been reported as associated with atherosclerosis, including fragile histidine triad (FHIT; cg18461866), wnt family member 8B (WNT8B; cg25227803), HOXA10-HOXA10-antisense RNA (AS; cg10224937 and cg21310745), HOXC cluster antisense RNA 2 (HOXC-AS2; cg09699744), zinc finger protein 609 (ZNF609; cg01016793), HOXA-AS3 (cg10374314), growth differentiation factor 6 (GDF6; cg17820365, cg09164580), T-box 20 (TBX20; cg06136628), HOXA6 (cg24719020, cg12110087), tubulin alpha 4a and 4b (TUBA4A/TUBA4B; cg11348442), coiled-coil domain containing 62 (CCDC62; cg01428378), myomesin 2 (MYOM2; cg25541958) and ribonuclease A family member k6 (RNASE6; cg00980698).
TBX20 is located at chromosome 7p14.2 and encodes a protein that has been demonstrated to protect endothelial cells against oxidized LDL-induced injury via upregulating peroxisome proliferator-activated receptor γ, indicating that it may protect against the development of atherosclerosis (32). It has also previously been determined that a polymorphism (rs3206736) near TBX20 is associated with a decrease in diastolic blood pressure (33). Several of the genes that were demonstrated to be hypomethylated in atherosclerotic tissues in the present study have been reported to be correlated with atherosclerosis-related phenotypes: The FHIT gene located at chromosome 3p14.2 is associated with body mass index (34); the HOXA10-HOXA10-AS gene at 7p15.2 is expressed differentially in porcine coronary and iliac artery endothelial cells (35); the HOXA-AS3 gene at 7p15.2 is associated with chronic venous disease (36) and monocyte count (37); HOXA6 at 7p15.2 is associated with chronic venous disease (36); and the TUBA4A/TUBA4B gene at 2q35 is associated with the size distribution of platelets (37). The remaining novel genes identified in the present study (WNT8B located at chromosome 10q24.31; HOXC-AS2 at 12q13.13; ZNF609 at 15q22.31; GDF6 at 8q22.1; CCDC62 at 12q24.31; MYOM2 at 8p23.3; and the RNASE6 gene at 14q11.2) have not previously been reported as associated with atherosclerosis-related phenotypes.
It was previously demonstrated that the methylation at 45 CpG sites differed significantly (P<1.03×10−7) between atheromatous plaque lesions and plaque-free intima (19). The associations between 23 of these CpG sites [cg02240539 (P=0.0499), cg04304054 (P=0.0071), cg14521421 (P=0.0033), cg14477581 (P=0.0302), cg00909706 (P=3.49×10−6), cg00716848 (P=0.0009), cg08466030 (P=8.08×10−6), cg22046201 (P=0.0002), cg18516609 (P=0.0188), cg24634746 (P=8.43×10−6), cg26619894 (P=1.20×10−5), cg03962451 (P=5.52×10−5), cg12556802 (P=4.90×10−7), cg10586883 (P=0.0309), cg06208382 (P=1.06×10−6), cg18177814 (P=0.0013), cg20556639 (P=1.07×10−6), cg09349128 (P=0.0112), cg26724841 (P=0.0379), cg02196592 (P=0.0235), cg16906765 (P=0.0032), cg27647755 (P=1.16×10−6), cg01473038 (P=0.0044)] to atherosclerosis were replicated in the present study.
There are several limitations to the present study: i) The aortic intima specimens comprised heterogeneous cell types, as described previously (19). ii) Although DNA methylation status may differ among atherosclerosis, Mönckeberg medial sclerosis and arteriolosclerosis, only the aortic intima was examined. iii) The association between atherosclerosis grade and DNA methylation status was not assessed. iv) The effects of hyper- or hypomethylation of CpG sites on the expression of genes were not investigated. v) Given the small sample size of the current study, the statistical power of the genome-wide analysis of DNA methylation was not optimal. vi) The molecular mechanisms underlying the effects of DNA methylation identified in the present study have not been determined definitively. vii) The validation of the results of the present study will require replication with other independent subject panels.
In conclusion, 16 novel genes that were significantly hyper-or hypomethylated in atheromatous plaque lesions compared with plaque-free intima were identified in the present study. These results suggest that the methylation status of these genes may contribute to the pathogenesis of atherosclerosis. The determination of DNA methylation status for the identified CpG sites may prove informative for the assessment of epigenetic risks associated with atherosclerotic cardiovascular disease in the Japanese population.
Acknowledgments
The present study was supported by CREST (grant no. JPMJCR1302), Japan Science and Technology Agency (Kawaguchi, Japan).
Notes
[1] Competing interests
The authors declare that they have no competing interests.
References
Lusis AJ: Atherosclerosis. Nature. 407:233–241. 2000. View Article : Google Scholar : PubMed/NCBI | |
Baccarelli A, Rienstra M and Benjamin EJ: Cardiovascular epigenetics: Basic concepts and results from animal and human studies. Circ Cardiovasc Genet. 3:567–573. 2010. View Article : Google Scholar : PubMed/NCBI | |
Neele AE, Van den Bossche J, Hoeksema MA and de Winther MP: Epigenetic pathways in macrophages emerge as novel targets in atherosclerosis. Eur J Pharmacol. 763:79–89. 2015. View Article : Google Scholar : PubMed/NCBI | |
Rakyan VK, Down TA, Balding DJ and Beck S: Epigenome-wide association studies for common human diseases. Nat Rev Genet. 12:529–541. 2011. View Article : Google Scholar : PubMed/NCBI | |
Handy DE, Castro R and Loscalzo J: Epigenetic modifications: Basic mechanisms and role in cardiovascular disease. Circulation. 123:2145–2156. 2011. View Article : Google Scholar : PubMed/NCBI | |
Tsai PC, Spector TD and Bell JT: Using epigenome-wide association scans of DNA methylation in age-related complex human traits. Epigenomics. 4:511–526. 2012. View Article : Google Scholar : PubMed/NCBI | |
Pfeiffer L, Wahl S, Pilling LC, Reischl E, Sandling JK, Kunze S, Holdt LM, Kretschmer A, Schramm K, Adamski J, et al: DNA methylation of lipid-related genes affects blood lipid levels. Circ Cardiovasc Genet. 8:334–342. 2015. View Article : Google Scholar : PubMed/NCBI | |
Rask-Andersen M, Martinsson D, Ahsan M, Enroth S, Ek WE, Gyllensten U and Johansson Å: Epigenome-wide association study reveals differential DNA methylation in individuals with a history of myocardial infarction. Hum Mol Genet. 25:4739–4748. 2016. | |
Wahl S, Drong A, Lehne B, Loh M, Scott WR, Kunze S, Tsai PC, Ried JS, Zhang W, Yang Y, et al: Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature. 541:81–86. 2017. View Article : Google Scholar : | |
Li J, Zhu X, Yu K, Jiang H, Zhang Y, Deng S, Cheng L, Liu X, Zhong J, Zhang X, et al: Genome-wide analysis of DNA methylation and acute coronary syndrome. Circ Res. 120:1754–1767. 2017. View Article : Google Scholar : PubMed/NCBI | |
Fernández-Sanlés A, Sayols-Baixeras S, Subirana I, Degano IR and Elosua R: Association between DNA methylation and coronary heart disease or other atherosclerotic events: A systematic review. Atherosclerosis. 263:325–333. 2017. View Article : Google Scholar : PubMed/NCBI | |
Khyzha N, Alizada A, Wilson MD and Fish JE: Epigenetics of atherosclerosis: Emerging mechanisms and methods. Trends Mol Med. 23:332–347. 2017. View Article : Google Scholar : PubMed/NCBI | |
Deaton AM and Bird A: CpG islands and the regulation of transcription. Genes Dev. 25:1010–1022. 2011. View Article : Google Scholar : PubMed/NCBI | |
Nazarenko MS, Puzyreva VP, Lebedev IN, Frolov AV, Barbarash OL and Barbarash LS: Methylation profiling of DNA in the area of atherosclerotic plaque in humans. Mol Biol. 45:5612011. View Article : Google Scholar | |
Zaina S, Heyn H, Carmona FJ, Varol N, Sayols S, Condom E, Ramírez-Ruz J, Gomez A, Gonçalves I, Moran S and Esteller M: DNA methylation map of human atherosclerosis. Circ Cardiovasc Genet. 7:692–700. 2014. View Article : Google Scholar : PubMed/NCBI | |
Aavik E, Lumivuori H, Leppänen O, Wirth T, Häkkinen SK, Bräsen JH, Beschorner U, Zeller T, Braspenning M, van Criekinge W, et al: Global DNA methylation analysis of human atherosclerotic plaques reveals extensive genomic hypomethylation and reactivation at imprinted locus 14q32 involving induction of a miRNA cluster. Eur Heart J. 36:993–1000. 2015. View Article : Google Scholar | |
Kucher AN, Nazarenko MS, Markov AV, Koroleva IA and Barbarash OL: Variability of methylation profiles of CpG sites in microRNA genes in leukocytes and vascular tissues of patients with atherosclerosis. Biochemistry. 82:698–706. 2017.PubMed/NCBI | |
Castillo-Díaz SA, Garay-Sevilla ME, Hernández-González MA, Solís-Martínez MO and Zaina S: Extensive demethylation of normally hypermethylated CpG islands occurs in human atherosclerotic arteries. Int J Mol Med. 26:691–700. 2010.PubMed/NCBI | |
Yamada Y, Nishida T, Horibe H, Oguri M, Kato K and Sawabe M: Identification of hypo- and hypermethylated genes related to atherosclerosis by a genome-wide analysis of DNA methylation. Int J Mol Med. 33:1355–1363. 2014. View Article : Google Scholar : PubMed/NCBI | |
Moran S, Arribas C and Esteller M: Validation of a DNA meth-ylation microarray for 850,000 CpG sites of the human genome enriched in enhancer sequences. Epigenomics. 8:389–399. 2016. View Article : Google Scholar | |
Christensen BC, Houseman EA, Marsit CJ, Zheng S, Wrensch MR, Wiemels JL, Nelson HH, Karagas MR, Padbury JF, Bueno R, et al: Aging and environmental exposures alter tissue-specific DNA methylation dependent upon CpG island context. PLoS Genet. 5:e10006022009. View Article : Google Scholar : PubMed/NCBI | |
Bell JT, Pai AA, Pickrell JK, Gaffney DJ, Pique-Regi R, Degner JF, Gilad Y and Pritchard JK: DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines. Genome Biol. 12:R102011. View Article : Google Scholar : PubMed/NCBI | |
ENCODE Project Consortium: An integrated encyclopedia of DNA elements in the human genome. Nature. 489:57–74. 2012. View Article : Google Scholar : PubMed/NCBI | |
Lizio M, Harshbarger J, Shimoji H, Severin J, Kasukawa T, Sahin S, Abugessaisa I, Fukuda S, Hori F, Ishikawa-Kato S, et al: Gateways to the FANTOM5 promoter level mammalian expression atlas. Genome Biol. 16:222015. View Article : Google Scholar : PubMed/NCBI | |
Bibikova M, Barnes B, Tsan C, Ho V, Klotzle B, Le JM, Delano D, Zhang L, Schroth GP, Gunderson KL, et al: High density DNA methylation array with single CpG site resolution. Genomics. 98:288–295. 2011. View Article : Google Scholar : PubMed/NCBI | |
Libby P: Inflammation in atherosclerosis. Nature. 420:868–874. 2002. View Article : Google Scholar : PubMed/NCBI | |
Libby P: Mechanisms of acute coronary syndromes and their implications for therapy. N Engl J Med. 368:2004–2013. 2013. View Article : Google Scholar : PubMed/NCBI | |
Turunen MP, Aavik E and Ylä-Herttuala S: Epigenetics and atherosclerosis. Biochim Biophys Acta. 1790:886–891. 2009. View Article : Google Scholar : PubMed/NCBI | |
Hai Z and Zuo W: Aberrant DNA methylation in the pathogenesis of atherosclerosis. Clin Chim Acta. 456:69–74. 2016. View Article : Google Scholar : PubMed/NCBI | |
Fishbein GA and Fishbein MC: Arteriosclerosis: Rethinking the current classification. Arch Pathol Lab Med. 133:1309–1316. 2009.PubMed/NCBI | |
Peng Y, Meng K, Jiang L, Zhong Y, Yang Y, Lan Y, Zeng Q and Cheng L: Thymic stromal lymphopoietin-induced HOTAIR activation promotes endothelial cell proliferation and migration in atherosclerosis. Biosci Rep. 37:pii: BSR201703512017. View Article : Google Scholar | |
Shen T, Zhu Y, Patel J, Ruan Y, Chen B, Zhao G, Cao Y, Pang J, Guo H, Li H, et al: T-box20 suppresses oxidized low-density lipoprotein-induced human vascular endothelial cell injury by upregulation of PPAR-γ. Cell Physiol Biochem. 32:1137–1150. 2013. View Article : Google Scholar | |
Warren HR, Evangelou E, Cabrera CP, Gao H, Ren M, Mifsud B, Ntalla I, Surendran P, Liu C, Cook JP, et al: Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat Genet. 49:403–415. 2017. View Article : Google Scholar : PubMed/NCBI | |
Graff M, Scott RA, Justice AE, Young KL, Feitosa MF, Barata L, Winkler TW, Chu AY, Mahajan A, Hadley D, et al: Genome-wide physical activity interactions in adiposity-a meta-analysis of 200,452 adults. PLoS Genet. 13:e10065282017. View Article : Google Scholar | |
Zhang J, Burridge KA and Friedman MH: In vivo differences between endothelial transcriptional profiles of coronary and iliac arteries revealed by microarray analysis. Am J Physiol Heart Circ Physiol. 295:H1556–H1561. 2008. View Article : Google Scholar : PubMed/NCBI | |
Ellinghaus E, Ellinghaus D, Krusche P, Greiner A, Schreiber C, Nikolaus S, Gieger C, Strauch K, Lieb W, Rosenstiel P, et al: Genome-wide association analysis for chronic venous disease identifies EFEMP1 and KCNH8 as susceptibility loci. Sci Rep. 7:456522017. View Article : Google Scholar : PubMed/NCBI | |
Astle WJ, Elding H, Jiang T, Allen D, Ruklisa D, Mann AL, Mead D, Bouman H, Riveros-Mckay F, Kostadima MA, et al: The allelic landscape of human blood cell trait variation and links to common complex disease. Cell. 167:1415–1429.e19. 2016. View Article : Google Scholar : PubMed/NCBI |