Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, et al. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019;139:e56–e528.
Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet. 2017;389:37–55.
Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet. 2021;398:957–80.
Whelton PK, Carey RM, Aronow WS, Casey DE Jr., Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018;71:1269–324.
Article CAS PubMed Google Scholar
Olczak KJ, Taylor-Bateman V, Nicholls HL, Traylor M, Cabrera CP, Munroe PB. Hypertension genetics past, present and future applications. J Intern Med. 2021;290:1130–52.
Pandey KN. Genetic and Epigenetic Mechanisms Regulating Blood Pressure and Kidney Dysfunction. Hypertension. 2024;81:1424–37.
Article CAS PubMed Google Scholar
Maurano MT, Humbert R, Rynes E, Thurman RE, Haugen E, Wang H, et al. Systematic localization of common disease-associated variation in regulatory DNA. Science. 2012;337:1190–5.
Article CAS PubMed PubMed Central Google Scholar
Adua E. Decoding the mechanism of hypertension through multiomics profiling. J Hum Hypertens. 2023;37:253–64.
Relton CL, Davey Smith G. Epigenetic epidemiology of common complex disease: prospects for prediction, prevention, and treatment. PLoS Med. 2010;7:e1000356.
Article PubMed PubMed Central Google Scholar
Greenberg MVC, Bourc’his D. The diverse roles of DNA methylation in mammalian development and disease. Nat Rev Mol Cell Biol. 2019;20:590–607.
Article CAS PubMed Google Scholar
Cappola TP, Margulies KB. Functional genomics applied to cardiovascular medicine. Circulation. 2011;124:87–94.
Article PubMed PubMed Central Google Scholar
Huang Y, Ollikainen M, Muniandy M, Zhang T, van Dongen J, Hao G, et al. Identification, Heritability, and Relation With Gene Expression of Novel DNA Methylation Loci for Blood Pressure. Hypertension. 2020;76:195–205.
Article CAS PubMed Google Scholar
Kazmi N, Elliott HR, Burrows K, Tillin T, Hughes AD, Chaturvedi N, et al. Associations between high blood pressure and DNA methylation. PLoS One. 2020;15:e0227728.
Article CAS PubMed PubMed Central Google Scholar
Hong X, Miao K, Cao W, Lv J, Yu C, Huang T, et al. Association Between DNA Methylation and Blood Pressure: A 5-Year Longitudinal Twin Study. Hypertension. 2023;80:169–81.
Article CAS PubMed Google Scholar
Huan T, Esko T, Peters MJ, Pilling LC, Schramm K, Schurmann C, et al. A meta-analysis of gene expression signatures of blood pressure and hypertension. PLoS Genet. 2015;11:e1005035.
Article PubMed PubMed Central Google Scholar
Huang S, Wang J, Liu N, Li P, Wu S, Qi L, et al. A cross-tissue transcriptome association study identifies key genes in essential hypertension. Front Genet. 2023;14:1114174.
Article CAS PubMed PubMed Central Google Scholar
Huang Y, Ollikainen M, Sipilä P, Mustelin L, Wang X, Su S, et al. Genetic and Environmental Effects on Gene Expression Signatures of Blood Pressure: A Transcriptome-Wide Twin Study. Hypertension. 2018;71:457–64.
Article CAS PubMed Google Scholar
Huang LJ, Zhang QX, Valenzuela RK, Xu JC, Yan F, Ma J. Identifying susceptibility genes for essential hypertension by transcriptome-wide association study. Biochem Biophys Rep. 2022;32:101387.
CAS PubMed PubMed Central Google Scholar
Tan Q, Li W, Vandin F. Disease-Concordant Twins Empower Genetic Association Studies. Ann Hum Genet. 2017;81:20–6.
Article CAS PubMed Google Scholar
Li W, Christiansen L, Hjelmborg J, Baumbach J, Tan Q. On the power of epigenome-wide association studies using a disease-discordant twin design. Bioinformatics. 2018;34:4073–8.
Article CAS PubMed Google Scholar
Drouard G, Ollikainen M, Mykkänen J, Raitakari O, Lehtimäki T, Kähönen M, et al. Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values. Omics. 2022;26:130–41.
Article CAS PubMed PubMed Central Google Scholar
Schmidt M, Schmidt SA, Sandegaard JL, Ehrenstein V, Pedersen L, Sørensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;7:449–90.
Article PubMed PubMed Central Google Scholar
Skovgaard AC, Mohammadnejad A, Beck HC, Tan Q, Soerensen M. Multi-omics association study of DNA methylation and gene expression levels and diagnoses of cardiovascular diseases in Danish Twins. Clin Epigenetics. 2024;16:117.
Article CAS PubMed PubMed Central Google Scholar
Pedersen DA, Larsen LA, Nygaard M, Mengel-From J, McGue M, Dalgård C, et al. The Danish Twin Registry: An Updated Overview. Twin Res Hum Genet. 2019;22:499–507.
Article PubMed PubMed Central Google Scholar
Frost M, Petersen I, Brixen K, Beck-Nielsen H, Holst JJ, Christiansen L, et al. Adult glucose metabolism in extremely birthweight-discordant monozygotic twins. Diabetologia. 2012;55:3204–12.
Article CAS PubMed Google Scholar
Cui J, Hopper JL, Harrap SB. Genes and Family Environment Explain Correlations Between Blood Pressure and Body Mass Index. Hypertension. 2002;40:7–12.
Article CAS PubMed Google Scholar
Tobin MD, Sheehan NA, Scurrah KJ, Burton PR. Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure. Stat Med. 2005;24:2911–35.
Cui JS, Hopper JL, Harrap SB. Antihypertensive Treatments Obscure Familial Contributions to Blood Pressure Variation. Hypertension. 2003;41:207–10.
Article CAS PubMed Google Scholar
Health NIoP. ATC/DDD Index 2025: WHO Collaborating Centre for Drug Statistics Methodology; 2024 [updated 2024-12-27. Available from: https://atcddd.fhi.no/atc_ddd_index/?showdescription=yes&code=C02
(WHO) WHO. International Classification of Diseases 2023 [Available from: https://icd.who.int/en.
Authority TDHD. SKS-Browser 2023 [Available from: https://medinfo.dk/sks/.
Denmark S 2023 [Available from: https://www.dst.dk.
Helweg-Larsen K. The Danish Register of Causes of Death. Scand J Public Health. 2011;39:26–9.
Pedersen CB. The Danish Civil Registration System. Scand J Public Health. 2011;39:22–5.
Soerensen M, Li W, Debrabant B, Nygaard M, Mengel-From J, Frost M, et al. Epigenome-wide exploratory study of monozygotic twins suggests differentially methylated regions to associate with hand grip strength. Biogerontology. 2019;20:627–47.
Article CAS PubMed PubMed Central Google Scholar
Nygaard M, Larsen MJ, Thomassen M, McGue M, Christensen K, Tan Q, et al. Global expression profiling of cognitive level and decline in middle-aged monozygotic twins. Neurobiol Aging. 2019;84:141–7.
留言 (0)