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CARDIOVASCULAR DISEASE

The regulatory network architecture of cardiometabolic diseases

Complex disease definitions often represent descriptive umbrella terms of symptoms rather than mechanistic entities. A new study shows how network-based approaches can help identify the mechanisms that link genes, cells, tissues and organs in cardiovascular diseases.

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Fig. 1: A mechanistic understanding of complex diseases requires a detailed mapping of the underlying perturbations across biological networks.

FrankRamspott / DigitalVision Vectors / Getty (proteome graphic); sumkinn / iStock / Getty Images Plus/Getty (transcriptome graphic)

References

  1. Schork, N. J. Nature 520, 609–611 (2015).

    Article  CAS  Google Scholar 

  2. Lee, L. Y. et al. Cardiovasc. Res. 117, 2186–2202 (2021).

    Article  CAS  Google Scholar 

  3. Koplev, S. Nat. Cardiovasc. Res. https://doi.org/10.1038/s44161-021-00009-1 (2022).

  4. Franzén, O. et al. Science 353, 827–830 (2016).

    Article  Google Scholar 

  5. Watanabe, K. et al. Nat. Genet. 51, 1339–1348 (2019).

    Article  CAS  Google Scholar 

  6. Boyle, E. A., Li, Y. I. & Pritchard, J. K. Cell 169, 1177–1186 (2017).

    Article  CAS  Google Scholar 

  7. Peter, I. S. & Davidson, E. H. Genomic Control Process: Development and Evolution (Academic Press, 2015).

  8. Haniffa, M. et al. Nature 597, 196–205 (2021).

    Article  CAS  Google Scholar 

  9. McGillivray, P. et al. Annu. Rev. Biomed. Data Sci. 1, 153–180 (2018).

    Article  Google Scholar 

  10. Menche, J. et al. Science 347, 1257601 (2015).

    Article  Google Scholar 

  11. Casas, A. I. et al. Proc. Natl Acad. Sci. USA 116, 7129–7136 (2019).

    Article  CAS  Google Scholar 

  12. Elbatreek, M. H. et al. PLoS Biol. 18, e3000885 (2020).

    Article  CAS  Google Scholar 

  13. Buphamalai, P. et al. Nat. Commun. 12, 6306 (2021).

    Article  CAS  Google Scholar 

  14. Trachana, K. et al. Circ. Res. 122, 1276–1289 (2018).

    Article  CAS  Google Scholar 

  15. Langhauser, F. et al. NPJ Syst. Biol. Appl. 4, 8 (2018).

    Article  Google Scholar 

Download references

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Correspondence to Harald H. H. W. Schmidt or Jörg Menche.

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Schmidt, H.H.H.W., Menche, J. The regulatory network architecture of cardiometabolic diseases. Nat Genet 54, 2–3 (2022). https://doi.org/10.1038/s41588-021-00994-w

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