Roth GA. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1736–88.
Article
Google Scholar
James SL. Global, regional, and national incidence, prevalence, and years lived with disability for 354 Diseases and Injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1789–858.
Article
Google Scholar
Piepoli MF, Abreu A, Albus C, Ambrosetti M, Brotons C, Catapano AL, et al. Update on cardiovascular prevention in clinical practice: a position paper of the European Association of Preventive Cardiology of the European Society of Cardiology. Eur J Prev Cardiol. 2020;27:181–205.
Article
PubMed
Google Scholar
Andersson C, Johnson AD, Benjamin EJ, Levy D, Vasan RS. 70-year legacy of the Framingham Heart Study. Nat Rev Cardiol. 2019;16:687–98.
Article
PubMed
Google Scholar
Sampson UK, Fazio S, Linton MF. Residual cardiovascular risk despite optimal LDL cholesterol reduction with statins: the evidence, etiology, and therapeutic challenges. Curr Atheroscler Rep. 2012;14:1–10.
Article
CAS
PubMed
PubMed Central
Google Scholar
Erdmann J, Kessler T, Munoz Venegas L, Schunkert H. A decade of genome-wide association studies for coronary artery disease: the challenges ahead. Cardiovasc Res. 2018;114:1241–57.
CAS
PubMed
Google Scholar
Fernández-Sanlés A, Sayols-Baixeras S, Subirana I, Degano IR, Elosua R. Association between DNA methylation and coronary heart disease or other atherosclerotic events: a systematic review. Atherosclerosis. 2017;263:325–33.
Article
PubMed
CAS
Google Scholar
Agha G. Blood leukocyte DNA methylation predicts risk of future myocardial infarction and coronary heart disease. Circulation. 2019;140:645–57.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ward-Caviness CK, Agha G, Chen BH, Pfeiffer L, Wilson R, Wolf P, et al. Analysis of repeated leukocyte DNA methylation assessments reveals persistent epigenetic alterations after an incident myocardial infarction. Clin Epigenetics. 2018;10:161.
Article
CAS
PubMed
PubMed Central
Google Scholar
Nurnberg ST, Guerraty MA, Wirka RC, Rao HS, Pjanic M, Norton S, et al. Genomic profiling of human vascular cells identifies TWIST1 as a causal gene for common vascular diseases. PLOS Genet. 2020;16:e1008538.
Article
CAS
PubMed
PubMed Central
Google Scholar
Joshi A, Rienks M, Theofilatos K, Mayr M. Systems biology in cardiovascular disease: a multiomics approach. Nat Rev Cardiol. 2020; Dec 18. https://doi.org/10.1038/s41569-020-00477-1. Online ahead of print.
Zampieri G, Vijayakumar S, Yaneske E, Angione C. Machine and deep learning meet genome-scale metabolic modeling. PLOS Comput Biol. 2019;15:e1007084.
Article
PubMed
PubMed Central
CAS
Google Scholar
Argelaguet R, Velten B, Arnol D, Dietrich S, Zenz T, Marioni JC, et al. Multi-omics factor analysis—a framework for unsupervised integration of multi-omics data sets. Mol Syst Biol. 2018;14:1–13.
Article
CAS
Google Scholar
Argelaguet R, Arnol D, Bredikhin D, Deloro Y, Velten B, Marioni JC, et al. MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data. bioRxiv. 2019;837104.
Pierre-Jean M, Deleuze J-F, Le Floch E, Mauger F. Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration. Brief Bioinform. 2019;bbz138.
McCabe SD, Lin D-Y, Love MI. Consistency and overfitting of multi-omics methods on experimental data. Brief Bioinform. 2019;bbz070.
Lappalainen T, Greally JM. Associating cellular epigenetic models with human phenotypes. Nat Rev Genet. 2017;18:441–51.
Article
CAS
PubMed
Google Scholar
Kennel PJ, Liao X, Saha A, Ji R, Zhang X, Castillero E, et al. Impairment of myocardial glutamine homeostasis induced by suppression of the amino acid carrier SLC1A5 in failing myocardium. Circ Hear Fail. 2019;12:e006336.
Article
CAS
Google Scholar
Prompunt E, Sanit J, Barrère-Lemaire S, Nargeot J, Noordali H, Madhani M, et al. The cardioprotective effects of secretory leukocyte protease inhibitor against myocardial ischemia/reperfusion injury. Exp Ther Med. 2018;15:5231–42.
PubMed
PubMed Central
Google Scholar
Peng P, Wang L, Yang X, Huang X, Ba Y, Chen X, et al. A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease. PLoS ONE. 2014;9:e102265.
Article
PubMed
PubMed Central
CAS
Google Scholar
Poulet M, Sirois J, Boyé K, Uetani N, Hardy S, Daubon T, et al. PRL-2 phosphatase is required for vascular morphogenesis and angiogenic signaling. Commun Biol. 2020;3:603.
Article
CAS
PubMed
PubMed Central
Google Scholar
Shang J, Gao Z-Y, Zhang L-Y, Wang C-Y. Over-expression of JAZF1 promotes cardiac microvascular endothelial cell proliferation and angiogenesis via activation of the Akt signaling pathway in rats with myocardial ischemia-reperfusion. Cell Cycle. 2019;18:1619–34.
Article
CAS
PubMed
PubMed Central
Google Scholar
der Pim VH, Niek V. Identification of 64 novel genetic loci provides an expanded view on the genetic architecture of coronary artery disease. Circ Res. 2018;122:433–43.
Article
CAS
Google Scholar
Hata J, Mukai N, Nagata M, Ohara T, Yoshida D, Kishimoto H, et al. Serum angiopoietin-like protein 2 is a novel risk factor for cardiovascular disease in the community: the Hisayama study. Arterioscler Thromb Vasc Biol. 2016;36:1686–91.
Article
CAS
PubMed
Google Scholar
Lotta LA, Wittemans LBL, Zuber V, Stewart ID, Sharp SJ, Luan J, et al. Association of genetic variants related to gluteofemoral vs abdominal fat distribution with type 2 diabetes, coronary disease, and cardiovascular risk factors. JAMA. 2018;320:2553.
Article
CAS
PubMed
PubMed Central
Google Scholar
Dogan MV, Grumbach IM, Michaelson JJ, Philibert RA. Integrated genetic and epigenetic prediction of coronary heart disease in the Framingham Heart Study. PLoS ONE. 2018;13:1–18.
Article
CAS
Google Scholar
Gross AM, Jaeger PA, Kreisberg JF, Licon K, Jepsen KL, Khosroheidari M, et al. Methylome-wide analysis of chronic HIV infection reveals five-year increase in biological age and epigenetic targeting of HLA. Mol Cell. 2016;62:157–68.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ahola-Olli AV, Würtz P, Havulinna AS, Aalto K, Pitkänen N, Lehtimäki T, et al. Genome-wide association study identifies 27 loci influencing concentrations of circulating cytokines and growth factors. Am J Hum Genet. 2017;100:40–50.
Article
CAS
PubMed
Google Scholar
Han X, Ong J-S, An J, Hewitt AW, Gharahkhani P, MacGregor S. Using Mendelian randomization to evaluate the causal relationship between serum C-reactive protein levels and age-related macular degeneration. Eur J Epidemiol. 2020;35:139–46.
Article
CAS
PubMed
Google Scholar
Astle WJ, Elding H, Jiang T, Allen D, Ruklisa D, Mann AL, et al. The allelic landscape of human blood cell trait variation and links to common complex disease. Cell. 2016;167:1415–29.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ding X, He Y, Hao Q, Chen S, Yang M, Leng SX, et al. The association of single nucleotide polymorphism rs189037C>T in ATM gene with coronary artery disease in Chinese Han populations. Medicine (Baltimore). 2018;97:e9747.
Article
CAS
Google Scholar
Nakatochi M, Ichihara S, Yamamoto K, Naruse K, Yokota S, Asano H, et al. Epigenome-wide association of myocardial infarction with DNA methylation sites at loci related to cardiovascular disease. Clin Epigenetics. 2017;9:54.
Article
PubMed
PubMed Central
CAS
Google Scholar
Xi X, Zhang J, Wang J, Chen Y, Zhang W, Zhang X, et al. SGK1 mediates hypoxic pulmonary hypertension through promoting macrophage infiltration and activation. Anal Cell Pathol. 2019;2019:1–10.
Article
CAS
Google Scholar
Das S, Aiba T, Rosenberg M, Hessler K, Xiao C, Quintero PA, et al. Pathological role of serum- and glucocorticoid-regulated kinase 1 in adverse ventricular remodeling. Circulation. 2012;126:2208–19.
Article
CAS
PubMed
PubMed Central
Google Scholar
Liu C, Marioni RE, Hedman ÅK, Pfeiffer L, Tsai P-C, Reynolds LM, et al. A DNA methylation biomarker of alcohol consumption. Mol Psychiatry. 2018;23:422–33.
Article
CAS
PubMed
Google Scholar
Wahl S, Drong A, Lehne B, Loh M, Scott WR, Kunze S, et al. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature. 2017;541:81–6.
Article
CAS
PubMed
Google Scholar
Joehanes R, Just AC, Marioni RE, Pilling LC, Reynolds LM, Mandaviya PR, et al. Epigenetic signatures of cigarette smoking. Circ Cardiovasc Genet. 2016;9:436–47.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kessler T, Vilne B, Schunkert H. The impact of genome-wide association studies on the pathophysiology and therapy of cardiovascular disease. EMBO Mol Med. 2016;8:688–701.
Article
CAS
PubMed
PubMed Central
Google Scholar
Buniello A, MacArthur JAL, Cerezo M, Harris LW, Hayhurst J, Malangone C, et al. The NHGRI-EBI GWAS catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 2019;47:D1005–12.
Article
CAS
PubMed
Google Scholar
Davis W, Tew KD. ATP-binding cassette transporter-2 (ABCA2) as a therapeutic target. Biochem Pharmacol. 2018;151:188–200.
Article
CAS
PubMed
Google Scholar
Joehanes R, Ying S, Huan T, Johnson AD, Raghavachari N, Wang R, et al. Gene expression signatures of coronary heart disease. Arterioscler Thromb Vasc Biol. 2013;33:1418–26.
Article
CAS
PubMed
PubMed Central
Google Scholar
Sillanpää MJ. Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses. Heredity. 2011;106:511–9.
Article
PubMed
Google Scholar
Barfield RT, Almli LM, Kilaru V, Smith AK, Mercer KB, Duncan R, et al. Accounting for population stratification in DNA methylation studies. Genet Epidemiol. 2014;38:231–41.
Article
PubMed
PubMed Central
Google Scholar
Buettner F, Theis FJ. A novel approach for resolving differences in single-cell gene expression patterns from zygote to blastocyst. Bioinformatics. 2012;28:i626–32.
Article
CAS
PubMed
PubMed Central
Google Scholar
Sayols-Baixeras S, Subirana I, Lluis-Ganella C, Civeira F, Roquer J, Do A, et al. Identification and validation of seven new loci showing differential DNA methylation related to serum lipid profile: an epigenome-wide approach. The REGICOR study Hum Mol Genet. 2016;25:4556–65.
Article
CAS
PubMed
Google Scholar
Bibikova M, Barnes B, Tsan C, Ho V, Klotzle B, Le JM, et al. High density DNA methylation array with single CpG site resolution. Genomics. 2011;98:288–95.
Article
CAS
PubMed
Google Scholar
Sandoval J, Heyn HA, Moran S, Serra-Musach J, Pujana MA, Bibikova M, et al. Validation of a DNA methylation microarray for 450,000 CpG sites in the human genome. Epigenetics. 2011;6:692–702.
Article
CAS
PubMed
Google Scholar
Chen YA, Lemire M, Choufani S, Butcher DT, Grafodatskaya D, Zanke BW, et al. Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray. Epigenetics. 2013;8:203–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Zhou W, Laird PW, Shen H. Comprehensive characterization, annotation and innovative use of Infinium DNA methylation BeadChip probes. Nucl Acids Res. 2017;45:e22.
PubMed
Google Scholar
Pidsley RY, Wong CC, Volta M, Lunnon K, Mill J, Schalkwyk LC. A data-driven approach to preprocessing Illumina 450K methylation array data. BMC Genomics. 2013;14:293.
Article
CAS
PubMed
PubMed Central
Google Scholar
Aryee MJ, Jaffe AE, Corrada-Bravo H, Ladd-Acosta C, Feinberg AP, Hansen KD, et al. Minfi: A flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics. 2014;30:1363–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics. 2007;8:118–27.
Article
PubMed
Google Scholar
Jaffe AE. FlowSorted.Blood.450k: Illumina HumanMethylation data on sorted blood cell populations. R package. 2019.
Leek JT, Johnson WE, Parker HS, Fertig EJ, Jaffe AE, Zhang Y, et al. sva: Surrogate Variable Analysis. R package. 2019.
Carvalho BS, Irizarry RA. A framework for oligonucleotide microarray preprocessing. Bioinformatics. 2010;26:2363–7.
Article
CAS
PubMed
PubMed Central
Google Scholar
Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Sel Work Terry Speed. 2012;601–16.
Therneau T. A Package for Survival Analysis in R. R package [Internet]. 2020. Available from: https://cran.r-project.org/package=survival
Harrell FE. Hmisc: Harrell Miscellaneous. R package [Internet]. 2020. Available from: https://cran.r-project.org/web/packages/Hmisc/
Pencina MJ, D’Agostino RB, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011;30:11–21.
Article
PubMed
Google Scholar
NCEP. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report. Circulation. 2002;106:3143.
Paynter NP, Cook NR. A bias-corrected net reclassification improvement for clinical subgroups. Med Decis Mak. 2013;33:154–62.
Article
Google Scholar
Wei T, Simko V. “corrplot”: Visualization of a Correlation Matrix. R package [Internet]. 2017. Available from: https://cran.r-project.org/web/packages/corrplot/
Staley J. EWAS catalog [Internet]. 2020. Available from: http://www.ewascatalog.org
Fernández-Sanlés A, Sayols-Baixeras S, Subirana I, Sentí M, Pérez-Fernández S, Castro de Moura M, et al. DNA methylation biomarkers of myocardial infarction and cardiovascular disease. bioRxiv. 2019;3:707315.