Evidence map›Paper›PMID 27659700›Full record

ArticleEuropean radiology2017

Aortic root dimensions are predominantly determined by genetic factors: a classical twin study.

Csilla Celeng, Márton Kolossváry, Attila Kovács, Andrea Ágnes Molnár, Bálint Szilveszter, Tamás Horváth, Mihály Károlyi, Ádám L Jermendy, Ádám D Tárnoki, Dávid L Tárnoki and 5 more

Abstract readTwin Study
PubMed Publisher
In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Valvular Heart Disease Epidemiology.Medical sciences (Basel, Switzerland) · 2022
    Review
  3. Article
  4. Global epidemiology of valvular heart disease.Nature reviews. Cardiology · 2021
    Review
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

15 authors.

Csilla CelengMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Márton KolossváryMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Attila KovácsMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Andrea Ágnes MolnárMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Bálint SzilveszterMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Tamás HorváthDepartment of Hydrodynamic Systems, Budapest University of Technology and Economics, Budapest, Hungary.
Mihály KárolyiMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Ádám L JermendyMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Ádám D TárnokiDepartment of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary.
Dávid L TárnokiDepartment of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary.
Júlia KarádyMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Szilard VorosGlobal Genomics Group, Atlanta, GA, USA.
György JermendyMedical Department, Bajcsy-Zsilinszky Hospital, Budapest, Hungary.
Béla MerkelyMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary.
Pál Maurovich-HorvatMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Városmajor St. 68, H-1122, Budapest, Hungary. p.maurovich.horvat@mail.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious studies using transthoracic echocardiography (TTE) observed moderate heritability of aortic root dimensions. Computed tomography angiography (CTA) might provide more accurate heritability estimates. Our primary aim was to assess the heritability of the aortic root with CTA. Our secondary aim was to derive TTE-based heritability and compare this with the CTA-based results.

methodsIn the BUDAPEST-GLOBAL study 198 twin subjects (118 monozygotic, 80 dizygotic; age 56.1 ± 9.4 years; 126 female) underwent CTA and TTE. We assessed the diameter of the left ventricular outflow tract (LVOT), annulus, sinus of Valsalva, sinotubular junction and ascending aorta. Heritability was assessed using ACDE model (A additive genetic, C common environmental, D dominant genetic, E unique environmental factors).

resultsBased on CTA, additive genetic effects were dominant (LVOT: A = 0.67, E = 0.33; annulus: A = 0.76, E = 0.24; sinus of Valsalva: A = 0.83, E = 0.17; sinotubular junction: A = 0.82, E = 0.18; ascending aorta: A = 0.75, E = 0.25). TTE-derived measurements showed moderate to no genetic influence (LVOT: A = 0.38, E = 0.62; annulus: C = 0.47, E = 0.53; sinus of Valsalva: C = 0.63, E = 0.37; sinotubular junction: C = 0.45, E = 0.55; ascending aorta: A = 0.67, E = 0.33).

conclusionCTA-based assessment suggests that aortic root dimensions are predominantly determined by genetic factors. TTE-based measurements showed moderate to no genetic influence. The choice of measurement method has substantial impact on heritability estimates. KEY POINTS: • Aortic root dimensions are determined by genetic and environmental effects. • Transthoracic echocardiography (TTE) demonstrated moderate to no genetic effects on aortic root dimensions. • Computed tomography angiography might provide more accurate heritability estimates compared to TTE. • Three-dimensional imaging techniques are needed to reliably quantify aortic root dimensions.

Indexed as

Genetic DeterminismAortaComputed Tomography AngiographyEchocardiographyFemaleGenotypeHumansImaging, Three-DimensionalMaleMiddle AgedMultidetector Computed TomographyMultimodal ImagingSinus of ValsalvaTwins, DizygoticTwins, MonozygoticAscending aortaGenetic determinismMultidetector computed tomographyTransthoracic echocardiographyTwins

Identifiers

PMID27659700

What OpenQuestion holds

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Registered trials

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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.