Evidence map›Paper›PMID 39132911›Full record

ArticleEuropean heart journal2024

The AORTA Gene score for detection and risk stratification of ascending aortic dilation.

James P Pirruccello, Shaan Khurshid, Honghuang Lin, Lu-Chen Weng, Siavash Zamirpour, Shinwan Kany, Avanthi Raghavan, Satoshi Koyama, Ramachandran S Vasan, Emelia J Benjamin and 2 more

Abstract read
In one paragraph

Article in European heart journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Clinical utility of polygenic risk scores in cardiovascular disorders.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  6. Estimating Ascending Aortic Diameter From the Electrocardiogram.Journal of the American College of Cardiology · 2026
    Article
  7. Genetic Causes of Thoracic Aortic Aneurysm: A Review.Methodist DeBakey cardiovascular journal · 2026
    Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

James P PirruccelloDivision of Cardiology, University of California San Francisco, 555 Mission Bay Blvd South #3118, San Francisco, CA 94158, USA.ORCID 0000-0001-6088-4037
Shaan KhurshidCardiology Division, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.ORCID 0000-0002-2840-4539
Honghuang LinFramingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, USA.
Lu-Chen WengCardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Siavash ZamirpourSchool of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3742-4320
Shinwan KanyCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Avanthi RaghavanCardiology Division, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
Satoshi KoyamaCardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Ramachandran S VasanFramingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, USA.
Emelia J BenjaminFramingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, USA.
Mark E LindsayCardiology Division, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
Patrick T EllinorCardiology Division, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.ORCID 0000-0002-2067-0533

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
AHA Strategically Focused Research Networks 18SFRN34110082American Heart Association 18SFRN34110082Bayer AGBoston University School of MedicineDeutsche Forschungsgemeinschaft 521832260European Union MAESTRIA 965286Framingham Heart Study of the National Heart Lung and Blood InstituteFredman Fellowship for Aortic DiseaseHarvard Medical SchoolHHS 75N92019D00031John S. LaDue Memorial Fellowship in Cardiovascular Medicine from Harvard Medical SchoolNational Heart Lung and Blood InstituteNHLBI NIH HHS 75N92019D00031NHLBI NIH HHS K08 HL159346NHLBI NIH HHS K23 HL169839NIA NIH HHS U01 AG068221NIH HHS K08HL159346NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196Regional Medical Centers 1 OT2 OD026549Toomey Fund for Aortic Dissection ResearchWalter-Benjamin Fellowship from the Deutsche Forschungsgemeinschaft 521832260
6 · The paper itself

Abstract

BACKGROUND AND

aimsThis study assessed whether a model incorporating clinical features and a polygenic score for ascending aortic diameter would improve diameter estimation and prediction of adverse thoracic aortic events over clinical features alone.

methodsAortic diameter estimation models were built with a 1.1 million-variant polygenic score (AORTA Gene) and without it. Models were validated internally in 4394 UK Biobank participants and externally in 5469 individuals from Mass General Brigham (MGB) Biobank, 1298 from the Framingham Heart Study (FHS), and 610 from All of Us. Model fit for adverse thoracic aortic events was compared in 401 453 UK Biobank and 164 789 All of Us participants.

resultsAORTA Gene explained more of the variance in thoracic aortic diameter compared to clinical factors alone: 39.5% (95% confidence interval 37.3%-41.8%) vs. 29.3% (27.0%-31.5%) in UK Biobank, 36.5% (34.4%-38.5%) vs. 32.5% (30.4%-34.5%) in MGB, 41.8% (37.7%-45.9%) vs. 33.0% (28.9%-37.2%) in FHS, and 34.9% (28.8%-41.0%) vs. 28.9% (22.9%-35.0%) in All of Us. AORTA Gene had a greater area under the receiver operating characteristic curve for identifying diameter ≥ 4 cm: 0.836 vs. 0.776 (P < .0001) in UK Biobank, 0.808 vs. 0.767 in MGB (P < .0001), 0.856 vs. 0.818 in FHS (P < .0001), and 0.827 vs. 0.791 (P = .0078) in All of Us. AORTA Gene was more informative for adverse thoracic aortic events in UK Biobank (P = .0042) and All of Us (P = .049).

conclusionsA comprehensive model incorporating polygenic information and clinical risk factors explained 34.9%-41.8% of the variation in ascending aortic diameter, improving the identification of ascending aortic dilation and adverse thoracic aortic events compared to clinical risk factors.

Indexed as

AortaAdultAgedAorta, ThoracicDilatation, PathologicFemaleHumansMaleMiddle AgedRisk AssessmentAll of UsAortic dissectionAscending aortaFramingham Heart StudyPolygenic scoreUK Biobank

Identifiers

PMID39132911
PMCPMC11491154

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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.