Tetralogy Of Fallot
Last Posted: Mar 24, 2022
- Contribution of NOTCH1 genetic variants to bicuspid aortic valve and other congenital lesions.
Debiec Radoslaw Marek et al. Heart (British Cardiac Society) 2022
- Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets.
Wegner Felix K et al. Journal of clinical medicine 2022 11(3)
- 22q11.2 recurrent copy number variation-related syndrome: a retrospective analysis of our own microarray cohort and a systematic clinical overview of ClinGen curation.
Xue Jiangyang et al. Translational pediatrics 2022 10(12) 3273-3281
- Artificial Intelligence Supports Decision Making during Open-Chest Surgery of Rare Congenital Heart Defects.
Lo Muzio Francesco Paolo et al. Journal of clinical medicine 2021 10(22)
- Identifying Risk Factors for Complicated Post-operative Course in Tetralogy of Fallot Using a Machine Learning Approach.
Faerber Jennifer A et al. Frontiers in cardiovascular medicine 2021 8685855
- Clinical Genetic Risk Variants Inform a Functional Protein Interaction Network for Tetralogy of Fallot.
Reuter Miriam S et al. Circulation. Genomic and precision medicine 2021
- The Cardiac Genome Clinic: implementing genome sequencing in pediatric heart disease.
Reuter Miriam S et al. Genetics in medicine : official journal of the American College of Medical Genetics 2020 Feb
- Genetic anomalies in fetuses with tetralogy of Fallot by using high-definition chromosomal microarray analysis.
Peng Ruan et al. Cardiovascular ultrasound 2019 May 17(1) 8
- Integration of Large-Scale Genomic Data Sources With Evolutionary History Reveals Novel Genetic Loci for Congenital Heart Disease.
Fotiou Elisavet, et al. Circulation. Genomic and precision medicine 2019 10 0. (10) 442-451
- Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning.
Samad Manar D et al. European heart journal cardiovascular Imaging 2018 19(7) 730-738
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
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