Integrating multi-modal omics to identify therapeutic atherosclerosis pathways for coronary heart disease

SR and SP are supported by a VIDI Fellowship (project number 09150172010050) from the Dutch Organisation for Health Research and Development (ZonMW) awarded to SP. AFS is supported by BHF grant PG/22/10989, the UCL BHF Research Accelerator AA/18/6/34223, the UCL BHF Centre of Research Excellence RE/24/130013, MR/V033867/1, the National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre, and the EU Horizon scheme (AI4HF 101080430 and DataTools4Heart 101057849). MV is supported by a postdoc talent grant from the Amsterdam Cardiovascular Sciences. This work was funded by UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee EP/Z000211/1, and by the Rosetrees CF-2-2023-M-2/122. This publication is part of the project "Computational medicine for cardiac disease" with file number 2023.022 of the research programme "Computing Time on National Computer Facilities" which is (partly) financed by the Dutch Research Council (NWO).

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Publication Details

Journal
EBioMedicine
Published
2025-10-15
DOI
https://doi.org/10.1016/j.ebiom.2025.105966
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.81

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article

Integrating multi-modal omics to identify therapeutic atherosclerosis pathways for coronary heart disease

Diederick E. Grobbee, Amand F. Schmidt, Sanne A. E. Peters, Gerard Pasterkamp et al.
1 citations
EBioMedicine
Bioinformatics and Genomic Networks
0.81
article

Integrating multi-modal omics to identify therapeutic atherosclerosis pathways for coronary heart disease

Diederick E. Grobbee, Amand F. Schmidt, Sanne A. E. Peters, Gerard Pasterkamp, Sophie C. de Ruiter, Ernest Diez Benavente, Hester M. den Ruijter, Chris Finan, Marion van Vugt, Dominique P V de Kleijn
article en
1 citations

Abstract

SR and SP are supported by a VIDI Fellowship (project number 09150172010050) from the Dutch Organisation for Health Research and Development (ZonMW) awarded to SP. AFS is supported by BHF grant PG/22/10989, the UCL BHF Research Accelerator AA/18/6/34223, the UCL BHF Centre of Research Excellence RE/24/130013, MR/V033867/1, the National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre, and the EU Horizon scheme (AI4HF 101080430 and DataTools4Heart 101057849). MV is supported by a postdoc talent grant from the Amsterdam Cardiovascular Sciences. This work was funded by UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee EP/Z000211/1, and by the Rosetrees CF-2-2023-M-2/122. This publication is part of the project "Computational medicine for cardiac disease" with file number 2023.022 of the research programme "Computing Time on National Computer Facilities" which is (partly) financed by the Dutch Research Council (NWO).

EBioMedicineVol. 121
Utrecht University (NL), University Medical Center Utrecht (NL), British Heart Foundation (GB), Netherlands Heart Institute (NL), University College London (GB)
Government of the United Kingdom, UK Research and Innovation, Amsterdam University Medical Centers, National Institute for Health and Care Research, British Heart Foundation, University College London, Rosetrees Trust, ZonMw, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, HORIZON EUROPE Framework Programme, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers
Openalex Percentile: Top 22%
Bioinformatics and Genomic Networks
0.81
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