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Editorial
. 2023 Apr 24;8(4):419-421.
doi: 10.1016/j.jacbts.2023.01.016. eCollection 2023 Apr.

Transcriptomics and Beyond in Dilated Cardiomyopathy

Jason R Cowan  1   2 , Ray E Hershberger  1   2   3
Affiliations
Editorial

Transcriptomics and Beyond in Dilated Cardiomyopathy

Jason R Cowan et al. JACC Basic Transl Sci. .
No abstract available

Keywords: clustering; dilated cardiomyopathy; genetics; transcriptomics.

PubMed Disclaimer

Conflict of interest statement

Dr Hershberger has received grant support from the National Institutes of Health (grant R01HL128857). Dr Cowan has reported that he has no relationships relevant to the contents of this paper to disclose.

Figures

None
Graphical abstract
See this image and copyright information in PMC

Comment on

  • doi: 10.1016/j.jacbts.2022.10.010

References

    1. Verdonschot J.A.J., Wang P., Derks K.W.J., et al. Clustering of cardiac transcriptome profiles reveals unique: subgroups of dilated cardiomyopathy patients. J Am Coll Cardiol Basic Trans Science. 2023;8(4):406–418. - PMC - PubMed
    1. Jordan E., Peterson L., Ai T., et al. Evidence-based assessment of genes in dilated cardiomyopathy. Circulation. 2021;144(1):7–19. - PMC - PubMed
    1. Alimadadi A., Munroe P.B., Joe B., Cheng X. Meta-analysis of dilated cardiomyopathy using cardiac RNA-seq transcriptomic datasets. Genes. 2020;11(1):60. - PMC - PubMed
    1. Liu L., Huang J., Liu Y., et al. Multiomics analysis of transcriptome, epigenome, and genome uncovers putative mechanisms for dilated cardiomyopathy. Biomed Res Int. 2021;2021 - PMC - PubMed
    1. van Beek D., Verdonschot J., Derks K., et al. Allele-specific expression analysis for complex genetic phenotypes applied to a unique dilated cardiomyopathy cohort. Sci Rep. 2023;13(1):564. - PMC - PubMed

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