Genetic contribution to bicuspid aortic valve morphology

2011 ◽  
Vol 155 (11) ◽  
pp. 2899-2900 ◽  
Author(s):  
Robert B. Hinton
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Genetic Contribution ◽  
Valve Morphology

Genetic contribution of bicuspid aortic valve morphology

2011 ◽  
Vol 155 (11) ◽  
pp. 2897-2898 ◽  
Author(s):  
Borja Fernández ◽  
Ana C. Durán ◽  
M. Carmen Fernández ◽  
Josep M. Arqué ◽  
Miguel Such ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Genetic Contribution ◽  
Valve Morphology

Coronary anatomy as related to bicuspid aortic valve morphology

Heart ◽  
2016 ◽  
Vol 102 (12) ◽  
pp. 943-949 ◽  
Author(s):  
Wilke M C Koenraadt ◽  
George Tokmaji ◽  
Marco C DeRuiter ◽  
Hubert W Vliegen ◽  
Arthur J H A Scholte ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Coronary Anatomy ◽  
Valve Morphology

scholarly journals Bicuspid aortic valve morphology may have prognostic value in fetal Turner syndrome

2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P2110-P2110
Author(s):  
K. Van Engelen ◽  
M. M. Bartelings ◽  
A. C. Gittenberger-De Groot ◽  
M. J. H. Baars ◽  
A. V. Postma ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Turner Syndrome ◽  
Bicuspid Aortic Valve ◽  
Prognostic Value ◽  
Valve Morphology

scholarly journals Dilatation of the Ascending Aorta in Turner Syndrome: Influence of Bicuspid Aortic Valve Morphology and Body Composition

2021 ◽  
Vol 30 (1) ◽  
pp. e29-e36 ◽  
Author(s):  
Andrew Lin ◽  
Ashray Rajagopalan ◽  
Hanh H. Nguyen ◽  
Anthony J. White ◽  
Amanda J. Vincent ◽  
...  
Keyword(s):  
Body Composition ◽  
Aortic Valve ◽  
Turner Syndrome ◽  
Bicuspid Aortic Valve ◽  
Ascending Aorta ◽  
Valve Morphology

scholarly journals MRI-based Protocol to Characterize the Relationship Between Bicuspid Aortic Valve Morphology and Hemodynamics

2014 ◽  
Vol 43 (8) ◽  
pp. 1815-1827 ◽  
Author(s):  
Lucia Mirabella ◽  
Alex J. Barker ◽  
Neelakantan Saikrishnan ◽  
Elizabeth R. Coco ◽  
Daniel J. Mangiameli ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Valve Morphology ◽  
The Relationship

Bicuspid Aortic Valve Morphology and Associated Cardiovascular Abnormalities in Fetal Turner Syndrome: A Pathomorphological Study

2014 ◽  
Vol 36 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Klaartje van Engelen ◽  
Margot M. Bartelings ◽  
Adriana C. Gittenberger-de Groot ◽  
Marieke J.H. Baars ◽  
Alex V. Postma ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Turner Syndrome ◽  
Bicuspid Aortic Valve ◽  
Valve Morphology ◽  
Cardiovascular Abnormalities

scholarly journals BICUSPID AORTIC VALVE: GENDER DIFFERENCE IN PREVALENCE, VALVE MORPHOLOGY AND BICUSPID AORTOPATHY

2016 ◽  
Vol 67 (13) ◽  
pp. 2174
Author(s):  
William K.F. Kong ◽  
Madelien Regeer ◽  
Kian Keong Poh ◽  
James Yip ◽  
Arnold Ng ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Gender Difference ◽  
Bicuspid Aortic Valve ◽  
Valve Morphology

scholarly journals Bicuspid Aortic Valve Morphology and Interventions in the Young

2007 ◽  
Vol 49 (22) ◽  
pp. 2211-2214 ◽  
Author(s):  
Susan M. Fernandes ◽  
Paul Khairy ◽  
Stephen P. Sanders ◽  
Steven D. Colan
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Valve Morphology

Abstract P139: Clinical Classifiers To Identify Prevalent Aortopathy In Patients With Bicuspid Versus Tricuspid Aortic Valves

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Bamba Gaye ◽  
Maxime Vignac ◽  
Gådin Jesper ◽  
Xavier Jouven ◽  
Anders Franco-Cereceda ◽  
...  
Keyword(s):  
High Risk ◽  
Aortic Valve ◽  
Prediction Model ◽  
Machine Learning Algorithms ◽  
Multidimensional Data ◽  
Aortic Dilatation ◽  
Genetic Contribution ◽  
Valve Morphology ◽  
A Genome ◽  
Genetic Impact

Background and Aims: The mechanisms underlying bicuspid aortic valve (BAV) and tricuspid aortic valve (TAV) ascending aortic aneurysm are still unknown. We sought to identify predictors of aortopathy in BAV and TAV patients, respectively, and determine the genetic contribution to the valve phenotype. Methods: This study included BAV (n=545) and TAV (n=496) patients with aortic valve disease and/or ascending aorta dilatation but devoid of coronary artery disease. We applied machine learning algorithms and classic logistic regression models using multiple variable selection methodologies to predict individuals of high risk of aneurysm. Analyses included comprehensive multidimensional data (i.e., valve morphology, plasma analyses, genetic- and clinical data, family history of cardiovascular diseases, prevalent diseases, demographic, lifestyle and medication). The genetic impact on phenotype was estimated in a genome-wide complex trait analysis using a variance components model. Results: BAV patients were younger (60.4±12.3 years) than TAV patients (70.2±9.5 years), and had a higher frequency of aortic dilatation (45.1% and 29% for BAV and TAV, respectively. P<0.001). The unadjusted aneurysm prediction model showed a mean AUC of 0.8 for TAV patients, with absence of aortic stenosis (AS) being the main predictor, followed by diabetes and hsCRP. Using the same clinical measures in our prediction model for BAV patients resulted in a AUC of only 0.6 which cannot be considered a good predictor of aortic dilatation. Instead, genetic estimation showed higher genetic impact on BAV patients for both ascending aortic dimensions (sinotubular junction, sinus valsalva and aortic root) (genetic impact of 0.8 and 0.3 on BAV and TAV, respectively) and plasma profiles of 455 proteins (BAV: 0.8 vs. TAV: 0.3, for both dimensions and protein levels). Conclusions: The predictive classifier of TAV patients is clinically relevant and potentially offers important implications for better targeting TAV individual at high risk of developing aneurysm. Cardiovascular risk profiles appear to be more predictive of aortopathy than valve morphology and genetic data in TAV patients, whereas in BAV patients, the genetic contribution exceeds environmental factors.

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