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Titel: Genomic structural variations lead to dysregulation of important coding and non-coding RNA species in dilated cardiomyopathy
VerfasserIn: Haas, Jan
Mester, Stefan
Lai, Alan
Frese, Karen S.
Sedaghat-Hamedani, Farbod
Kayvanpour, Elham
Rausch, Tobias
Nietsch, Rouven
Boeckel, Jes-Niels
Carstensen, Avisha
Völkers, Mirko
Dietrich, Carsten
Pils, Dietmar
Amr, Ali
Holzer, Daniel B.
Martins Bordalo, Diana
Oehler, Daniel
Weis, Tanja
Mereles, Derliz
Buss, Sebastian
Riechert, Eva
Wirsz, Emil
Wuerstle, Maximilian
Korbel, Jan O.
Keller, Andreas
Katus, Hugo A.
Posch, Andreas E.
Meder, Benjamin
Sprache: Englisch
Titel: EMBO Molecular Medicine
Bandnummer: 10
Heft: 1
Seiten: 107-120
Verlag/Plattform: EMBOpress
Erscheinungsjahr: 2017
Freie Schlagwörter: cardiac transcriptome
dilated cardiomyopathy
expression quantitative trait locus
genomic structural variation
heart failure
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: The transcriptome needs to be tightly regulated by mechanisms that include transcription factors, enhancers, and repressors as well as non-coding RNAs. Besides this dynamic regulation, a large part of phenotypic variability of eukaryotes is expressed through changes in gene transcription caused by genetic variation. In this study, we evaluate genome-wide structural genomic variants (SVs) and their association with gene expression in the human heart. We detected 3,898 individual SVs affecting all classes of gene transcripts (e.g., mRNA, miRNA, lncRNA) and regulatory genomic regions (e.g., enhancer or TFBS). In a cohort of patients (n = 50) with dilated cardiomyopathy (DCM), 80,635 non-protein-coding elements of the genome are deleted or duplicated by SVs, containing 3,758 long non-coding RNAs and 1,756 protein-coding transcripts. 65.3% of the SV-eQTLs do not harbor a significant SNV-eQTL, and for the regions with both classes of association, we find similar effect sizes. In case of deleted protein-coding exons, we find downregulation of the associated transcripts, duplication events, however, do not show significant changes over all events. In summary, we are first to describe the genomic variability associated with SVs in heart failure due to DCM and dissect their impact on the transcriptome. Overall, SVs explain up to 7.5% of the variation of cardiac gene expression, underlining the importance to study human myocardial gene expression in the context of the individual genome. This has immediate implications for studies on basic mechanisms of cardiac maladaptation, biomarkers, and (gene) therapeutic studies alike.
DOI der Erstveröffentlichung: 10.15252/emmm.201707838
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-354011
hdl:20.500.11880/32324
http://dx.doi.org/10.22028/D291-35401
ISSN: 1757-4684
1757-4676
Datum des Eintrags: 4-Feb-2022
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Information
In Beziehung stehendes Objekt: https://www.embopress.org/action/downloadSupplement?doi=10.15252%2Femmm.201707838&file=emmm201707838-sup-0001-Appendix.pdf
https://www.embopress.org/action/downloadSupplement?doi=10.15252%2Femmm.201707838&file=emmm201707838-sup-0002-EVFigs.pdf
https://www.embopress.org/action/downloadSupplement?doi=10.15252%2Femmm.201707838&file=emmm201707838-sup-0004-SDataEV.zip
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professur: M - Univ.-Prof. Dr. Andreas Keller
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons