ReviewArteriosclerosis, thrombosis, and vascular biology2024
Using Genomics to Identify Novel Therapeutic Targets for Aortic Disease.
Review in Arteriosclerosis, thrombosis, and vascular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Heritable Thoracic Aortic Diseases in Pediatric Practice: From Molecular Mechanisms to Genotype-Informed Management, a Comprehensive Narrative Review.Journal of clinical medicine · 2026Review
- The Role of Next-Generation Sequencing in Cardiovascular Disease: A New Era of Precision Cardiology.Life (Basel, Switzerland) · 2026Review
- Clinically Translatable Mutation-Based Biomarkers in Ascending Aortic Aneurysm: A Bibliometric Study.Human mutation · 2026Article
- Embryological Divergence and Molecular Mechanisms in Thoracic and Abdominal Aortic Aneurysms: Bridging Developmental Biology and Clinical Insights.Biomolecules · 2025Review
- Mycobiome of Stool, Blood, Thrombus and Vessel Wall in Abdominal Aortic Aneurysm Patients.Mycopathologia · 2025Article
- Article
- Combined Effects of Metals, PCBs, Dioxins, and Furans on Cardiovascular Dysfunction.Journal of xenobiotics · 2025Article
- Sensitivity to Aortic Rupture in Hereditary Aortic Diseases.Thrombosis and haemostasis · 2025Article
- New Trends of Personalized Medicine in the Management of Abdominal Aortic Aneurysm: A Review.Journal of personalized medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Aortic disease, including dissection, aneurysm, and rupture, carries significant morbidity and mortality and is a notable cause of sudden cardiac death. Much of our knowledge regarding the genetic basis of aortic disease has relied on the study of individuals with Mendelian aortopathies and, until recently, the genetic determinants of population-level variance in aortic phenotypes remained unclear. However, the application of machine learning methodologies to large imaging datasets has enabled researchers to rapidly define aortic traits and mine dozens of novel genetic associations for phenotypes such as aortic diameter and distensibility. In this review, we highlight the emerging potential of genomics for identifying causal genes and candidate drug targets for aortic disease. We describe how deep learning technologies have accelerated the pace of genetic discovery in this field. We then provide a blueprint for translating genetic associations to biological insights, reviewing techniques for locus and cell type prioritization, high-throughput functional screening, and disease modeling using cellular and animal models of aortic disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.