Evidence map›Paper›PMID 40447339›Full record

ArticleJACC. Advances2025

Predicting Thoracic Aortic Dissection in a Diverse Biobank Using a Polygenic Risk Score.

John DePaolo, Siavash Zamirpour, Sarah Abramowitz, Gina Biagetti, Renae Judy, Cameron Beeche, Jeffrey Duda, James Gee, Walter R Witschey, Julio A Chirinos and 8 more

Abstract read
In one paragraph

Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Genetic Causes of Thoracic Aortic Aneurysm: A Review.Methodist DeBakey cardiovascular journal · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

John DePaoloDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Siavash ZamirpourInstitute for Human Genetics, University of California-San Francisco, San Francisco, California, USA.
Sarah AbramowitzDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Gina BiagettiDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Renae JudyDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Cameron BeecheDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Division of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jeffrey DudaDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
James GeeDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Walter R WitscheyDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Julio A ChirinosDivision of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nicholas J GoelDivision of Cardiovascular Surgery, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nimesh DesaiDivision of Cardiovascular Surgery, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Wilson Y SzetoDivision of Cardiovascular Surgery, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Dongchuan GuoDivision of Medical Genetics, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Dianna M MilewiczDivision of Medical Genetics, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Michael G LevinDivision of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.
James P PirruccelloInstitute for Human Genetics, University of California-San Francisco, San Francisco, California, USA; Division of Cardiology, University of California-San Francisco, San Francisco, California, USA; Bakar Computation Health Sciences Institute, University of California-San Francisco, San Francisco, California, USA.
Scott M DamrauerDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA; Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. Electronic address: damrauer@upenn.edu.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Training Program in Cardiovascular Biology and MedicineT32HL007843 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI THOMAS P. CAPPOLA, Sharlene M Day · 1996 to 2026
$11.0M
High Spatial and Temporal Resolution MRI Mapping of Oxygen Consumption in HumansP41EB029460 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Ravinder Reddy · 2021 to 2026
$7.6M
Genetic Predisposition To Thoracic Aortic Aneurysms/DissectionsR01HL109942 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MILEWICZ, DIANNA M · 2012 to 2023
$7.5M
Non-invasive imaging of reactive oxygen species in reperfusion injury myocardial infarctionR01HL169378 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PACO E. BRAVO, Walter R.T. Witschey · 2023 to 2026
$3.0M
LONGITUDINAL ASSOCIATION OF POST-INFARCT LIPOMATOUS METAPLASIA AND MALIGNANT ARRHYTHMIAR01HL171709 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Saman Nazarian, Walter R.T. Witschey · 2024 to 2026
$2.2M
Deep learning to enable the genetic analysis of aortaK08HL159346 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PIRRUCCELLO, JAMES · 2021 to 2025
$827k
NCATS NIH HHS UL1 TR001878NHLBI NIH HHS K08 HL159346NHLBI NIH HHS R01 HL109942NHLBI NIH HHS R01 HL169378NHLBI NIH HHS R01 HL171709NHLBI NIH HHS T32 HL007843NIBIB NIH HHS P41 EB029460
6 · The paper itself

Abstract

backgroundThoracic aortic dissection is a life-threatening condition that often occurs in the presence of aortic dilation. However, currently there are limited clinical risk factors beyond aortic diameter (AoD) used to determine individual-level dissection risk.

objectivesThe purpose of this study was to determine whether common variant genetics can be used to improve identification of individuals most at risk for dissection.

methodsA genome-wide association study (GWAS)-by-subtraction was performed to characterize the diameter-independent genetics of thoracic aortic dissection by subtracting a GWAS of AoD from a GWAS of thoracic aortic aneurysm and dissection. A polygenic risk score (PRS) was calculated using the PRS-Continuous Shrinkage statistical package and applied to Penn Medicine BioBank participants. Statistical analysis was performed in R version 4.3.2.

resultsWe identified 43 genetic risk loci associated with dissection and derived a "Dissection-PRS" from our GWAS-by-subtraction. In the Penn Medicine BioBank, the Dissection-PRS associated with prevalent dissection (OR: 2.13 per 1 SD increase in Dissection-PRS; 95% CI: 1.91-2.39; P < 0.001). When adjusting for risk factors including AoD, the association of the Dissection-PRS with prevalent dissection was attenuated but remained statistically robust (OR: 1.62 per 1 SD increase in PRS; 95% CI: 1.36-1.94; P < 0.001). The addition of the PRS to a model containing age, sex, and clinical risk factors substantially improved model discrimination (base model area under the receiver operator characteristic curve = 0.676; 95% CI: 0.651-0.702; with addition of PRS area under the receiver operator characteristic curve = 0.723; 95% CI: 0.702-0.744).

conclusionsA common-variant PRS can predict aortic dissection in a diverse population.

Indexed as

aortic dilationpolygenic riskpredictive modelingthoracic aortic dissection

Identifiers

PMID40447339
PMCPMC12235483

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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.