Journal article
Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases
- Abstract:
- Several vascular diseases including coronary artery disease, hypertension, stroke, and abdominal aortic aneurysm, have significant genetic underpinnings. Genome-wide association studies have unveiled many genetic loci associated with one or more of these diseases. However, the causative genes at most of these loci are yet to be determined, which hampers the translation of the genetic findings into a better understanding of the disease mechanisms and the identification of new therapeutic targets. Here, in an integrative functional genomics analysis of these loci, we identify a panel of likely causal genes, some of which are pleiotropic for more than one of these vascular diseases. Pooled CRISPR knockout screen analyses of these likely causal genes indicate that many of them influence vascular smooth muscle cell behaviour, and validation experiments of selected genes confirm that FES, BCAR1, CARF and SMARCA4 exert such effects. Further functional experiments focusing on FES, a pleiotropic gene for both coronary artery disease and hypertension, show that it modulates the expression of genes involved in vascular remodeling and that Fes knockout in mice promotes atherosclerosis as well as raises blood pressure. These findings provide an insight into the genetic basis of vascular diseases and inform targets for therapeutic development.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.0MB, Terms of use)
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(Supplementary materials, zip, 3.0MB, Terms of use)
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- Publisher copy:
- 10.1038/s41467-026-69273-8
Authors
+ MOH | National Medical Research Council
More from this funder
- Funder identifier:
- 10.13039/501100001349
- Grant:
- MOH-001229
+ British Heart Foundation
More from this funder
- Funder identifier:
- 10.13039/501100000274
- Grant:
- RG/16/13/32609
- Publisher:
- Nature Research
- Journal:
- Nature Communications More from this journal
- Volume:
- 17
- Issue:
- 1
- Article number:
- 3376
- Publication date:
- 2026-02-05
- Acceptance date:
- 2026-01-29
- DOI:
- EISSN:
-
2041-1723
- ISSN:
-
2041-1723
- Language:
-
English
- Keywords:
- Pubs id:
-
2368000
- Local pid:
-
pubs:2368000
- Source identifiers:
-
3934565
- Deposit date:
-
2026-04-09
- ARK identifier:
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Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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