Genetic Analysis Algorithm for the Study of Patients with Multiple Congenital Anomalies and Isolated Congenital Heart Disease

Genetic Analysis Algorithm for the Study of Patients with Multiple Congenital Anomalies and Isolated Congenital Heart Disease

Congenital anomalies (CA) affect 3–5% of newborns, representing the second-leading cause of infant mortality in Argentina. Multiple congenital anomalies (MCA) have a prevalence of 2.26/1000 births in newborns, while congenital heart diseases (CHD) are the most frequent CA with a prevalence of 4.06/1...

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Main Authors: Barbero, P. (Author), Berenstein, A. (Author), Bidondo, M.P (Author), Brun, P. (Author), Bruque, C.D (Author), Cosentino, V. (Author), Dain, L. (Author), Delea, M. (Author), Espeche, L.D (Author), Fabro, M. (Author), Fernández, C.S (Author), Furforo, L. (Author), Galain, M. (Author), Groisman, B. (Author), Izquierdo, A. (Author), Kolomenski, J.E (Author), Liascovich, R. (Author), Martinoli, C. (Author), Massara, L.S (Author), Mendez, R. (Author), Oliveri, J. (Author), on behalf of the PID ACM-CC Group (Author), Rittler, M. (Author), Rozental, S. (Author), Taboas, M. (Author), Vilas, M. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
array-CGH
chromosomal abnormalities
congenital heart disease
multiple congenital anomalies
next-generation sequencing
Online Access:View Fulltext in Publisher

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