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For: 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;114:1241-1257. [PMID: 29617720 DOI: 10.1093/cvr/cvy084] [Cited by in Crossref: 60] [Cited by in F6Publishing: 117] [Article Influence: 15.0] [Reference Citation Analysis]
Number Citing Articles
1 Ali Bodaghi, Nadia Fattahi, Ali Ramazani. Biomarkers: Promising and valuable tools towards diagnosis, prognosis and treatment of Covid-19 and other diseases. Heliyon 2023:e13323. [ DOI: 10.1016/j.heliyon.2023.e13323] [Reference Citation Analysis]
2 Albert EA, Kondratieva OA, Baranova EE, Sagaydak OV, Belenikin MS, Zobkova GY, Kuznetsova ES, Deviatkin AA, Zhurov AA, Karpulevich EA, Volchkov PY, Vorontsova MV. Transferability of the PRS estimates for height and BMI obtained from the European ethnic groups to the Western Russian populations. Front Genet 2023;14:1086709. [PMID: 36726807 DOI: 10.3389/fgene.2023.1086709] [Reference Citation Analysis]
3 Saad M, El-Menyar A, Kunji K, Ullah E, Al Suwaidi J, Kullo IJ. Validation of Polygenic Risk Scores for Coronary Heart Disease in a Middle Eastern Cohort Using Whole Genome Sequencing. Circ Genom Precis Med 2022;15:e003712. [PMID: 36252120 DOI: 10.1161/CIRCGEN.122.003712] [Reference Citation Analysis]
4 Girard D, Vandiedonck C. How dysregulation of the immune system promotes diabetes mellitus and cardiovascular risk complications. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.991716] [Reference Citation Analysis]
5 Pang S, Yengo L, Nelson CP, Bourier F, Zeng L, Li L, Kessler T, Erdmann J, Mägi R, Läll K, Metspalu A, Mueller-myhsok B, Samani NJ, Visscher PM, Schunkert H. Genetic and modifiable risk factors combine multiplicatively in common disease. Clin Res Cardiol. [DOI: 10.1007/s00392-022-02081-4] [Reference Citation Analysis]
6 Jin J, Zhu C, Wang J, Zhao X, Yang R. The association between ACTB methylation in peripheral blood and coronary heart disease in a case-control study. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.972566] [Reference Citation Analysis]
7 Chew NW, Chong B, Ng CH, Kong G, Chin YH, Xiao W, Lee M, Dan YY, Muthiah MD, Foo R. The genetic interactions between non-alcoholic fatty liver disease and cardiovascular diseases. Front Genet 2022;13:971484. [DOI: 10.3389/fgene.2022.971484] [Reference Citation Analysis]
8 Figtree GA, Kovacic JC, McGuire HM. Human susceptibility to coronary artery disease: lessons from chimpanzee resilience. Nat Rev Cardiol 2022;19:497-8. [PMID: 35768694 DOI: 10.1038/s41569-022-00738-1] [Reference Citation Analysis]
9 Liu S, Meng X, Li Y, Wang J, Guo H, Wang C, Zhu B. Histone methyltransferase KMT2D contributes to the protection of myocardial ischemic injury. Front Cell Dev Biol 2022;10:946484. [DOI: 10.3389/fcell.2022.946484] [Reference Citation Analysis]
10 Elishaev M, Hodonsky CJ, Ghosh SKB, Finn AV, von Scheidt M, Wang Y. Opportunities and Challenges in Understanding Atherosclerosis by Human Biospecimen Studies. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.948492] [Reference Citation Analysis]
11 Adlam D, Berrandou T, Georges A, Nelson CP, Giannoulatou E, Henry J, Ma L, Blencowe M, Turley TN, Yang M, Braund PS, Sadeg-sayoud I, Iismaa SE, Kosel ML, Zhou X, Hamby SE, Cheng J, Liu L, Tarr I, Muller DW, d’Escamard V, King A, Brunham LR, Baranowska-clarke AA, Debette S, Amouyel P, Olin JW, Patil S, Hesselson SE, Junday K, Kanoni S, Aragam K, Butterworth AS, Tweet MS, Gulati R, Combaret N, Kadian-dodov D, Kalman J, Fatkin D, Saw J, Webb TR, Hayes SN, Yang X, Ganesh SK, Olson TM, Kovacic JC, Graham RM, Samani NJ, Bouatia-naji N, CARDIoGRAMPlusC4D, MEGASTROKE, International stroke genetics consortium (ISGC) intracranial aneurysm working group, DISCO register investigators. Genome-wide association meta-analysis of spontaneous coronary artery dissection reveals common variants and genes related to artery integrity and tissue-mediated coagulation.. [DOI: 10.1101/2022.07.05.22277238] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Kim Y, Yeung SLA, Sharp SJ, Wang M, Jang H, Luo S, Brage S, Wijndaele K. Genetic susceptibility, screen-based sedentary activities and incidence of coronary heart disease. BMC Med 2022;20:188. [PMID: 35606845 DOI: 10.1186/s12916-022-02380-7] [Reference Citation Analysis]
13 Turner AW, Hu SS, Mosquera JV, Ma WF, Hodonsky CJ, Wong D, Auguste G, Song Y, Sol-Church K, Farber E, Kundu S, Kundaje A, Lopez NG, Ma L, Ghosh SKB, Onengut-Gumuscu S, Ashley EA, Quertermous T, Finn AV, Leeper NJ, Kovacic JC, Björkgren JLM, Zang C, Miller CL. Single-nucleus chromatin accessibility profiling highlights regulatory mechanisms of coronary artery disease risk. Nat Genet 2022. [PMID: 35590109 DOI: 10.1038/s41588-022-01069-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Huff JL, Plante I, Blattnig SR, Norman RB, Little MP, Khera A, Simonsen LC, Patel ZS. Cardiovascular Disease Risk Modeling for Astronauts: Making the Leap From Earth to Space. Front Cardiovasc Med 2022;9:873597. [DOI: 10.3389/fcvm.2022.873597] [Reference Citation Analysis]
15 Björkegren JLM, Lusis AJ. Atherosclerosis: Recent developments. Cell 2022;185:1630-45. [PMID: 35504280 DOI: 10.1016/j.cell.2022.04.004] [Cited by in Crossref: 17] [Cited by in F6Publishing: 30] [Article Influence: 17.0] [Reference Citation Analysis]
16 Wang Y, Tong L, Gu N, Ma X, Lu D, Yu D, Yu N, Zhang J, Li J, Guo X, Sasso FC. Association of Sirtuin 1 Gene Polymorphisms with the Risk of Coronary Heart Disease in Chinese Han Patients with Type 2 Diabetes Mellitus. Journal of Diabetes Research 2022;2022:1-7. [DOI: 10.1155/2022/8494502] [Reference Citation Analysis]
17 Vilne B, Ķibilds J, Siksna I, Lazda I, Valciņa O, Krūmiņa A. Could Artificial Intelligence/Machine Learning and Inclusion of Diet-Gut Microbiome Interactions Improve Disease Risk Prediction? Case Study: Coronary Artery Disease. Front Microbiol 2022;13:627892. [DOI: 10.3389/fmicb.2022.627892] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
18 Ye W, Tang Q, Wang L, Fang C, Xie L, He Q, Peng K. Contribution of CYP19A1, CYP1A1, and CYP1A2 polymorphisms in coronary heart disease risk among the Chinese Han population. Funct Integr Genomics 2022. [PMID: 35380334 DOI: 10.1007/s10142-022-00850-y] [Reference Citation Analysis]
19 MacDonald BT, Keshishian H, Mundorff CC, Arduini A, Lai D, Bendinelli K, Popp NR, Bhandary B, Clauser KR, Specht H, Elowe NH, Laprise D, Xing Y, Kaushik VK, Carr SA, Ellinor PT. TAILS Identifies Candidate Substrates and Biomarkers of ADAMTS7, a Therapeutic Protease Target in Coronary Artery Disease. Mol Cell Proteomics 2022;21:100223. [PMID: 35283288 DOI: 10.1016/j.mcpro.2022.100223] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
20 Vilne B, Sawant A, Rudaka I. Examining the Association between Mitochondrial Genome Variation and Coronary Artery Disease. Genes 2022;13:516. [DOI: 10.3390/genes13030516] [Reference Citation Analysis]
21 Muse ED, Chen SF, Liu S, Fernandez B, Schrader B, Molparia B, León AN, Lee R, Pubbi N, Mejia N, Ren C, El-Kalliny A, Montes de Oca EP, Aguilar H, Ghoshal A, Dias R, Evans D, Chen KY, Zhang Y, Wineinger NE, Spencer EG, Topol EJ, Torkamani A. Impact of polygenic risk communication: an observational mobile application-based coronary artery disease study. NPJ Digit Med 2022;5:30. [PMID: 35277577 DOI: 10.1038/s41746-022-00578-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
22 Slenders L, Tessels DE, van der Laan SW, Pasterkamp G, Mokry M. The Applications of Single-Cell RNA Sequencing in Atherosclerotic Disease. Front Cardiovasc Med 2022;9:826103. [PMID: 35211529 DOI: 10.3389/fcvm.2022.826103] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
23 Hao K, Ermel R, Sukhavasi K, Cheng H, Ma L, Li L, Amadori L, Koplev S, Franzén O, d'Escamard V, Chandel N, Wolhuter K, Bryce NS, Venkata VRM, Miller CL, Ruusalepp A, Schunkert H, Björkegren JLM, Kovacic JC. Integrative Prioritization of Causal Genes for Coronary Artery Disease. Circ Genom Precis Med 2022;15:e003365. [PMID: 34961328 DOI: 10.1161/CIRCGEN.121.003365] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
24 Gautam N, Saluja P, Malkawi A, Rabbat MG, Al-mallah MH, Pontone G, Zhang Y, Lee BC, Al’aref SJ. Current and Future Applications of Artificial Intelligence in Coronary Artery Disease. Healthcare 2022;10:232. [DOI: 10.3390/healthcare10020232] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
25 Dabravolski SA, Khotina VA, Sukhorukov VN, Kalmykov VA, Mikhaleva LM, Orekhov AN. The Role of Mitochondrial DNA Mutations in Cardiovascular Diseases. Int J Mol Sci 2022;23:952. [PMID: 35055137 DOI: 10.3390/ijms23020952] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
26 Park SH, Lu Y, Shao Y, Prophete C, Horton L, Sisco M, Lee HW, Kluz T, Sun H, Costa M, Zelikoff J, Chen LC, Gorr MW, Wold LE, Cohen MD. Longitudinal Impact of WTC Dust Inhalation on Rat Cardiac Tissue Transcriptomic Profiles. Int J Environ Res Public Health 2022;19:919. [PMID: 35055737 DOI: 10.3390/ijerph19020919] [Reference Citation Analysis]
27 Li L, Chen Z, von Scheidt M, Li S, Steiner A, Güldener U, Koplev S, Ma A, Hao K, Pan C, Lusis AJ, Pang S, Kessler T, Ermel R, Sukhavasi K, Ruusalepp A, Gagneur J, Erdmann J, Kovacic JC, Björkegren JLM, Schunkert H. Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes. Basic Res Cardiol 2022;117:6. [PMID: 35175464 DOI: 10.1007/s00395-022-00917-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
28 San-Cristobal R, de Toro-Martín J, Vohl MC. Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation. Curr Nutr Rep 2022;11:563-73. [PMID: 35948824 DOI: 10.1007/s13668-022-00430-3] [Reference Citation Analysis]
29 Saygili H, Bozgeyik I, Yumrutas O, Akturk E, Bagis H. Differential Expression of Long Noncoding RNAs in Patients with Coronary Artery Disease. Mol Syndromol 2021;12:372-8. [PMID: 34899146 DOI: 10.1159/000517077] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
30 Yang C, Starnecker F, Pang S, Chen Z, Güldener U, Li L, Heinig M, Schunkert H. Polygenic risk for coronary artery disease in the Scottish and English population. BMC Cardiovasc Disord 2021;21:586. [PMID: 34876023 DOI: 10.1186/s12872-021-02398-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
31 Skripnikova IA, Kolchina MA, Meshkov AN, Kiseleva AV, Drapkina OM. Arterial calcification, atherosclerosis and osteoporosis: only clinical associations or a genetic platform? Cardiovasc Ther Prev 2021;20:3034. [DOI: 10.15829/1728-8800-2021-3034] [Reference Citation Analysis]
32 Neiburga KD, Vilne B, Bauer S, Bongiovanni D, Ziegler T, Lachmann M, Wengert S, Hawe JS, Güldener U, Westerlund AM, Li L, Pang S, Yang C, Saar K, Huebner N, Maegdefessel L, DigiMed Bayern Consortium, Lange R, Krane M, Schunkert H, von Scheidt M. Vascular Tissue Specific miRNA Profiles Reveal Novel Correlations with Risk Factors in Coronary Artery Disease. Biomolecules 2021;11:1683. [PMID: 34827683 DOI: 10.3390/biom11111683] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
33 Ritchie SC, Lambert SA, Arnold M, Teo SM, Lim S, Scepanovic P, Marten J, Zahid S, Chaffin M, Liu Y, Abraham G, Ouwehand WH, Roberts DJ, Watkins NA, Drew BG, Calkin AC, Di Angelantonio E, Soranzo N, Burgess S, Chapman M, Kathiresan S, Khera AV, Danesh J, Butterworth AS, Inouye M. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. Nat Metab 2021;3:1476-83. [PMID: 34750571 DOI: 10.1038/s42255-021-00478-5] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 7.0] [Reference Citation Analysis]
34 Song Y, Zhou X, Kang J, Aung MT, Zhang M, Zhao W, Needham BL, Kardia SLR, Liu Y, Meeker JD, Smith JA, Mukherjee B. Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects. J R Stat Soc Ser C Appl Stat 2021;70:1391-412. [PMID: 34887595 DOI: 10.1111/rssc.12518] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
35 Gubareva IV, Vukolova YY. Sortilin as a marker of atherosclerosis: biological and pathophysiological aspects. Arter gipertenz 2021;27:402-408. [DOI: 10.18705/1607-419x-2021-27-4-402-408] [Reference Citation Analysis]
36 Xia Y, Brewer A, Bell JT. DNA methylation signatures of incident coronary heart disease: findings from epigenome-wide association studies. Clin Epigenetics 2021;13:186. [PMID: 34627379 DOI: 10.1186/s13148-021-01175-6] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
37 McCarthy M, Birney E. Personalized profiles for disease risk must capture all facets of health. Nature 2021;597:175-7. [PMID: 34489576 DOI: 10.1038/d41586-021-02401-0] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
38 Raza ST, Singh SP, Rizvi S, Zaidi A, Srivastava S, Hussain A, Mahdi F. Association of eNOS (G894T, rs1799983) and KCNJ11 (E23K, rs5219) gene polymorphism with coronary artery disease in North Indian population. Afr Health Sci 2021;21:1163-71. [PMID: 35222579 DOI: 10.4314/ahs.v21i3.25] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
39 Tonyan ZN, Nasykhova YA, Danilova MM, Glotov AS. Genetics of macrovascular complications in type 2 diabetes. World J Diabetes 2021; 12(8): 1200-1219 [PMID: 34512887 DOI: 10.4239/wjd.v12.i8.1200] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
40 Kessler T, Schunkert H. Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies. JACC Basic Transl Sci 2021;6:610-23. [PMID: 34368511 DOI: 10.1016/j.jacbts.2021.04.001] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
41 Muse ED, Chen SF, Torkamani A. Monogenic and Polygenic Models of Coronary Artery Disease. Curr Cardiol Rep 2021;23:107. [PMID: 34196841 DOI: 10.1007/s11886-021-01540-0] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
42 Mizoguchi T, MacDonald BT, Bhandary B, Popp NR, Laprise D, Arduini A, Lai D, Zhu QM, Xing Y, Kaushik VK, Kathiresan S, Ellinor PT. Coronary Disease Association With ADAMTS7 Is Due to Protease Activity. Circ Res 2021;129:458-70. [PMID: 34176299 DOI: 10.1161/CIRCRESAHA.121.319163] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
43 German CA, Shapiro MD. Polygenic Risk Scores to Identify CVD Risk and Tailor Therapy: Hope or Hype? Curr Atheroscler Rep 2021;23:47. [PMID: 34181090 DOI: 10.1007/s11883-021-00950-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
44 Middleton EA, Rowley JW. eQTLs in platelets and iPSC-megakaryocytes. Blood 2021;137:869-70. [PMID: 33599763 DOI: 10.1182/blood.2020009461] [Reference Citation Analysis]
45 Roberts R, Fair J. A Less than Provocative Approach for the Primary Prevention of CAD. J Cardiovasc Transl Res 2021. [PMID: 34128181 DOI: 10.1007/s12265-021-10144-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
46 Erdmann J, van der Laan SW. Unfolding and disentangling coronary vascular disease through genome-wide association studies. Eur Heart J 2021;42:934-7. [PMID: 33561196 DOI: 10.1093/eurheartj/ehaa1089] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
47 Örd T, Õunap K, Stolze LK, Aherrahrou R, Nurminen V, Toropainen A, Selvarajan I, Lönnberg T, Aavik E, Ylä-Herttuala S, Civelek M, Romanoski CE, Kaikkonen MU. Single-Cell Epigenomics and Functional Fine-Mapping of Atherosclerosis GWAS Loci. Circ Res 2021;129:240-58. [PMID: 34024118 DOI: 10.1161/CIRCRESAHA.121.318971] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 11.5] [Reference Citation Analysis]
48 Borén J, Chapman MJ, Krauss RM, Packard CJ, Bentzon JF, Binder CJ, Daemen MJ, Demer LL, Hegele RA, Nicholls SJ, Nordestgaard BG, Watts GF, Bruckert E, Fazio S, Ference BA, Graham I, Horton JD, Landmesser U, Laufs U, Masana L, Pasterkamp G, Raal FJ, Ray KK, Schunkert H, Taskinen MR, van de Sluis B, Wiklund O, Tokgozoglu L, Catapano AL, Ginsberg HN. Low-density lipoproteins cause atherosclerotic cardiovascular disease: pathophysiological, genetic, and therapeutic insights: a consensus statement from the European Atherosclerosis Society Consensus Panel. Eur Heart J 2020;41:2313-30. [PMID: 32052833 DOI: 10.1093/eurheartj/ehz962] [Cited by in Crossref: 419] [Cited by in F6Publishing: 441] [Article Influence: 209.5] [Reference Citation Analysis]
49 Hubáček JA, Šedová L, Olišarová V, Adámková V, Tóthová V. Increased prevalence of the CVD-associated ANRIL allele in the Roma/Gypsy population in comparison with the majority Czech population. Genet Mol Biol 2021;44:e20200405. [PMID: 33949622 DOI: 10.1590/1678-4685-GMB-2020-0405] [Reference Citation Analysis]
50 Muse ED, Chen S, Liu S, Fernandez B, Schrader B, Molparia B, León AN, Lee R, Pubbi N, Mejia N, Ren C, El-kalliny A, Montes de Oca EP, Aguilar H, Ghoshal A, Dias R, Evans D, Chen K, Zhang P, Wineinger NE, Spencer EG, Topol EJ, Torkamani A. Response to Polygenic Risk: Results of the MyGeneRank Mobile Application-Based Coronary Artery Disease Study.. [DOI: 10.1101/2021.04.26.21256141] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
51 Vrablik M, Dlouha D, Todorovova V, Stefler D, Hubacek JA. Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management? Int J Mol Sci 2021;22:4182. [PMID: 33920733 DOI: 10.3390/ijms22084182] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
52 Møller PL, Rohde PD, Winther S, Breining P, Nissen L, Nykjaer A, Bøttcher M, Nyegaard M, Kjolby M. Sortilin as a Biomarker for Cardiovascular Disease Revisited. Front Cardiovasc Med 2021;8:652584. [PMID: 33937362 DOI: 10.3389/fcvm.2021.652584] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
53 Chen YE. Translating Cardiovascular Genomics to Clinical Practice. Cardiovasc Drugs Ther 2021;35:613-5. [PMID: 33852094 DOI: 10.1007/s10557-021-07177-z] [Reference Citation Analysis]
54 Laguzzi F, Maitusong B, Strawbridge RJ, Baldassarre D, Veglia F, Humphries SE, Rauramaa R, Kurl S, Smit AJ, Giral P, Silveira A, Tremoli E, Hamsten A, de Faire U, Gigante B, Leander K; IMPROVE Study group. Intake of food rich in saturated fat in relation to subclinical atherosclerosis and potential modulating effects from single genetic variants. Sci Rep 2021;11:7866. [PMID: 33846368 DOI: 10.1038/s41598-021-86324-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
55 Palou-Márquez G, Subirana I, Nonell L, Fernández-Sanlés A, Elosua R. DNA methylation and gene expression integration in cardiovascular disease. Clin Epigenetics 2021;13:75. [PMID: 33836805 DOI: 10.1186/s13148-021-01064-y] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
56 Hadley TD, Agha AM, Ballantyne CM. How Do We Incorporate Polygenic Risk Scores in Cardiovascular Disease Risk Assessment and Management? Curr Atheroscler Rep 2021;23:28. [PMID: 33791884 DOI: 10.1007/s11883-021-00915-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
57 Munshaw S, Bruche S, Redpath AN, Jones A, Patel J, Dubé KN, Lee R, Hester SS, Davies R, Neal G, Handa A, Sattler M, Fischer R, Channon KM, Smart N. Thymosin β4 protects against aortic aneurysm via endocytic regulation of growth factor signaling. J Clin Invest 2021;131:127884. [PMID: 33784254 DOI: 10.1172/JCI127884] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
58 Roberts R, Chang CC, Hadley T. Genetic Risk Stratification: A Paradigm Shift in Prevention of Coronary Artery Disease. JACC Basic Transl Sci 2021;6:287-304. [PMID: 33778213 DOI: 10.1016/j.jacbts.2020.09.004] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
59 Trillhaase A, Schmidt B, Märtens M, Haferkamp U, Erdmann J, Aherrahrou Z. The CAD risk locus 9p21 increases the risk of vascular calcification in an iPSC-derived VSMC model. Stem Cell Res Ther 2021;12:166. [PMID: 33676559 DOI: 10.1186/s13287-021-02229-5] [Reference Citation Analysis]
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