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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Veröffentlicht in:	Genes 2022-06, Vol.13 (7), p.1172
Hauptverfasser:	Delea, Marisol, Massara, Lucia S, Espeche, Lucia D, Bidondo, María Paz, Barbero, Pablo, Oliveri, Jaen, Brun, Paloma, Fabro, Mónica, Galain, Micaela, Fernández, Cecilia S, Taboas, Melisa, Bruque, Carlos D, Kolomenski, Jorge E, Izquierdo, Agustín, Berenstein, Ariel, Cosentino, Viviana, Martinoli, Celeste, Vilas, Mariana, Rittler, Mónica, Mendez, Rodrigo, Furforo, Lilian, Liascovich, Rosa, Groisman, Boris, Rozental, Sandra, Dain, Liliana, On Behalf Of The Pid Acm-Cc Group
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities, Multiple - genetics Algorithms Birth defects Births Care and treatment Congenital defects Congenital diseases Coronary artery disease Cytogenetics Diagnosis Etiology Gene deletion Genes Genetic analysis Genetic aspects Genetic diversity Genetic Testing Genomes Genomics Genotype & phenotype Health aspects Heart Defects, Congenital - genetics Heart diseases Histone Acetyltransferases Humans Infant mortality Infants Karyotyping Methods Morphology Mortality Neonates Newborn babies Next-generation sequencing Patient outcomes Patients Peripheral blood Phenotypes Tbx1 protein
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