Twin pairs discordant for incident coronary artery disease reveal epigenetic and transcriptomic differences by gene region.
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| Title: | Twin pairs discordant for incident coronary artery disease reveal epigenetic and transcriptomic differences by gene region. |
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| Authors: | Skovgaard AC; The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark. acskovgaard@health.sdu.dk., Thinggaard M; The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark., Hjelmborg JV; The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark., Nejad AM; The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.; Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark., Beck HC; Centre for Clinical Proteomics, Department of Clinical Biochemistry, Odense University Hospital, Odense, Denmark., Tan Q; The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark., Soerensen M; The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark. |
| Source: | Molecular genetics and genomics : MGG [Mol Genet Genomics] 2025 Dec 12; Vol. 301 (1), pp. 6. Date of Electronic Publication: 2025 Dec 12. |
| Publication Type: | Journal Article; Twin Study |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101093320 Publication Model: Electronic Cited Medium: Internet ISSN: 1617-4623 (Electronic) Linking ISSN: 16174623 NLM ISO Abbreviation: Mol Genet Genomics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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