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. 2022 Jun 29;13(7):1172.
doi: 10.3390/genes13071172.

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

Affiliations

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

Marisol Delea et al. Genes (Basel). .

Abstract

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 4.06/1000 births. The aim of this study was to identify the genetic causes in Argentinian patients with MCA and isolated CHD. We recruited 366 patients (172 with MCA and 194 with isolated CHD) born between June 2015 and August 2019 at public hospitals. DNA from peripheral blood was obtained from all patients, while karyotyping was performed in patients with MCA. Samples from patients presenting conotruncal CHD or DiGeorge phenotype (n = 137) were studied using MLPA. Ninety-three samples were studied by array-CGH and 18 by targeted or exome next-generation sequencing (NGS). A total of 240 patients were successfully studied using at least one technique. Cytogenetic abnormalities were observed in 13 patients, while 18 had clinically relevant imbalances detected by array-CGH. After MLPA, 26 patients presented 22q11 deletions or duplications and one presented a TBX1 gene deletion. Following NGS analysis, 12 patients presented pathogenic or likely pathogenic genetic variants, five of them, found in KAT6B, SHH, MYH11, MYH7 and EP300 genes, are novel. Using an algorithm that combines molecular techniques with clinical and genetic assessment, we determined the genetic contribution in 27.5% of the analyzed patients.

Keywords: array-CGH; chromosomal abnormalities; congenital heart disease; multiple congenital anomalies; next-generation sequencing.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Different approaches applied to patient analysis. (a): Schematic representation of the algorithm applied for patients’ analysis. (b): Venn diagram showing the number of successfully analyzed samples through the algorithm described in (a). iCHD: Isolated congenital heart defect; MCA: Multiple congenital anomalies; MLPA: Multiplex-dependent ligation probe amplification; Array-CGH: array comparative genomic hybridization; NGS: Next-generation sequencing.

References

    1. Centers for Disease Control and Prevention (CDC) Update on overall prevalence of major birth defects–Atlanta: Georgia, 1978–2005. Morb. Mortal. Wkly. Rep. 2008;57:1–5. - PubMed
    1. Rasmussen S.A., Olney R.S., Holmes L.B., Lin A.E., Keppler-Noreuil K.M., Moore C.A. National birth defects prevention study guidelines for case classification for the national birth defects prevention study. Birth Defects Res. A Clin. Mol. Teratol. 2003;67:193–201. doi: 10.1002/bdra.10012. - DOI - PubMed
    1. Pan American Health Organization . Present and Future of Birth Defects Surveillance in the Americas. Pan American Health Organization; Washington, DC, USA: 2019.
    1. Van Der Linde D., Konings E.E.M., Slager M.A., Witsenburg M., Helbing W.A., Takkenberg J.J.M., Roos-Hesselink J.W. Birth prevalence of congenital heart disease worldwide: A systematic review and meta-analysis. J. Am. Coll. Cardiol. 2011;58:2241–2247. doi: 10.1016/j.jacc.2011.08.025. - DOI - PubMed
    1. Baird P.A., Anderson T.W., Newcombe H.B., Lowry R.B. Genetic disorders in children and young adults: A population study. Am. J. Hum. Genet. 1988;42:677–693. - PMC - PubMed

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