Abstract
In this work, we aim to identify the genetic causes of pathogenesis in Argentinean patients with multiple congenital anomalies (MCA) and isolated Congenital Heart Disease (iCHD). We recruited 174 MCA and 194 iCHD patients from 15 public hospitals. Karyotyping was performed for MCA patients, and MLPA for conotruncal CHD or suspected 2q11 Deletion Syndrome (22q11DS). Selected samples were analyzed by array-CGH (Comparative genomic hybridization) (n = 89) and/or Next-Generation Sequencing (NGS) (n = 18). We successfully analyzed 252/368 patients: 14 had cytogenetic abnormalities, 27 had imbalances in 22q11, and 16 had other clinically relevant copy number variations (CNVs). NGS revealed 12 relevant nucleotide variants (five novels). Combining molecular, clinical and genetic evaluations, the diagnostic yield was 26.2%.
1. Introduction
Congenital anomalies (CAs) are morphological and/or functional disorders of prenatal origin resulting from morphological disturbances in the process of human development [1,2]. CAs affect 3–5% of newborns and are mostly presented in isolation, but nearly 20 to 30% of infants with birth defects have multiple congenital anomalies (MCAs) involving major anomalies in different organs and systems [2,3]. In Argentina, CA represents the second leading cause of infant mortality after perinatal conditions. Newborns presenting MCA have a prevalence of 2.26/1000 births, whereas Congenital Heart Disease (CHD) is the most frequent CA, with a prevalence at birth of 4.06/1000 newborns [4].
The etiology of these defects is widely recognized as heterogeneous with contributions of genetic (~40%) and environmental/maternal factors (~5–10%) [5,6]. Numerical and structural chromosomal abnormalities account for approximately 15% of patients with major CA [7]. Microdeletion and microduplication, also known as copy number variations (CNVs), have been described in 10–17% MCA patients [8,9]. Finally, single-gene defects account for a number of well-recognized MCA syndromes and are present in 3–5% of patients with CHD [10]. Nevertheless, in nearly 50% of the cases, the etiology remains unknown.
Although largely studied in several populations, there are few studies on the genetic contribution on CA in Latin America [11,12,13,14]. The aim of this study was to identify the genetic causes of pathogenesis in Argentinian patients with MCA and isolated CHD (iCHD).
2. Materials and Methods
2.1. Ethical Approval
All procedures performed in this study were in accordance with institutional and/or national research committee ethical standards and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Written informed consent was obtained from parents of all patients involved in this study prior to history recording and sampling. The study was approved by the ethics committee of the Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Buenos Aires, Argentina (Acta # 14, 16 September 2013).
2.2. Patients
We recruited 368 patients (174 MCA and 194 iCHD) born between June 2015 and August 2019 from 13 public hospitals from the city and province of Buenos Aires participating in the National Network of Congenital Anomalies of Argentina (RENAC) and patients up to 16 years attending at the Genetic Services of Hospital Sor María Ludovica and Hospital El Cruce, Province of Buenos Aires. All patients were evaluated by a neonatologist and a clinical geneticist. A complete physical examination was performed, and detailed individual and family history were retrieved. Case definitions are described elsewhere [2]. In the present study, we excluded cases with Down Syndrome phenotype or functional CA, newborns < 37 weeks of gestation with ductus and those with Foramen oval independent of the gestational age. Among MCA, the female/male ratio was 1.03 (87/84, 3 had ambiguous genitalia) and 1.02 (98/96) for iCHD cases. Median and mean age of patients were 0.15 and 1.08 years, respectively. A total of 31 patients had clinical suspicion of a specific syndrome at the time of their inclusion.
2.3. Algorithm Used for Patients’ Analyses
DNA from peripheral blood was obtained from all patients, while karyotyping was performed for those presenting with MCA. Multiplex-dependent ligation probe amplification (MLPA) analysis was performed in 137 patients presented either with conotruncal CHD (CCHD, n = 105, 26 MCA, 79 iCHD) [11] or clinical manifestations compatible with 22q11DS regardless of the presence of CCHD (n = 32, 16 MCA, 16 iCHD). In addition, 89 MCA samples with normal karyotype or unsolved cytogenetic studies were selected for chromosomal microarray analysis (CMA). Finally, 18 patients were selected for targeted or exome next generation sequencing (NGS).
2.4. Cytogenetic Analysis
Cytogenetic analysis was performed in peripheral blood lymphocytes by standard trypsin-Wright (GTW) banding technique according to standard procedures. The International System for Human Cytogenomic Nomenclature 2016 (ISCN) was used for nomenclature reference [15].
2.5. Multiplex-Dependent Ligation Probe Amplification Analysis (MLPA)
The MLPA analysis was performed using SALSA P250-B2 MLPA kit (MRC-Holland, Amsterdam, the Netherlands) as previously described [11].
2.6. Chromosomal Microarray Analysis (CMA)
Patients were studied with the ISCA v2 8×60K (Agilent, Santa Clara, CA, USA) platform as previously described [16,17]. In some cases, familial samples were analyzed for a full interpretation of the proband’s array results.
2.7. Next Generation Sequencing (NGS) Analysis
Approximately 1 ug of DNA from a group of 18 selected patients with suspected known syndromes and/or familiar history was analyzed by targeted NGS (TruSight® Cardio Sequencing kit, Illumina, San Diego, CA, USA (n = 6)) or whole exome sequencing (WES, SureSelect Human All Exon V6 and V7 kit, Agilent, Santa Clara, CA, USA, (n = 12)), followed by an in silico selection of candidate genes for variant analysis. Phenotype-driven gene lists of interest were developed internally. Variants were interpreted using American College of Medical Genetics and Genomics (ACMG) guidelines [18]. All identified sequence changes of interest were confirmed by Sanger sequencing.
3. Results and Discussion
We have conducted a detailed genetic analysis in Argentinian patients with MCA and iCHD. A total of 276 patients were studied by at least one technique, from which 252 were successfully analyzed (145 MCA and 107 iCHD). Although microarray testing has proven to be especially useful as the first-tier evaluation in the identification of pathogenic CNVs among patients with MCA [9], due to financial limitations in Argentina, this technique is not widely available in the public health system. Therefore, cytogenetic analysis is used as the first-tier genetic test for patients referred with MCA.
Of the 174 MCA patients, we successfully karyotyped 104. In 14, an abnormal karyotype was observed, including six patients with trisomy 18, and one with a trisomy 13. The diagnostic yield of karyotyping was 13.4%, similar to previous results showing chromosomal abnormalities in approximately 15% of patients with major CA [7]. However, it should be noted that approximately 40% of cases did not have a karyotype due to culture failure or difficulties in sample referral. Some cases, indeed, were diagnosed after CMA (see below). This observation reinforces the importance of applying array-CGH routinely to overcome technical difficulties in cytogenetic studies.
The 22q11 Deletion Syndrome (22q11DS) represents the most common microdeletion syndrome in humans. Conotruncal CHD (CCHD) is one of the most common phenotypic manifestations in 22q11DS. However, imbalances in the 22q11 region were also found in a significant number of patients with isolated CCHD [19,20]. We successfully resolved 132 of the 137 samples selected for MLPA analysis and found 27 (20.5%) patients with an imbalance (Table 1). Similar to our previous results [11], we observed 22q11 imbalances in 23% of the patients with CCHD. Although most prevalent among patients with MCA, we found a 22q11 imbalance in 22% of the patients with isolated CCHD. In these cases, an early diagnosis and interventions are key to prevent clinical complications later in life.
Table 1.
MLPA analysis in patients with CCHD or with suspected 22q11DS not presenting CCHD.
As mentioned above, microarray testing has been proven to be especially useful in the identification of pathogenic CNVs among patients with MCA [8,9]. We successfully analyzed 84/89 selected samples and found 17 clinically relevant (pathogenic or likely pathogenic) CNVs in 16 patients, representing a diagnostic yield of 19% (Table 2). In addition, we found seven CNVs classified as Variants of uncertain significance (VUS) in seven patients.
Table 2.
Clinically relevant CNVs found by array-CGH in MCA patients.
The diagnosis yield—as a second or third-tier test for a cohort of MCA patients—of 19% is in accordance with similar reports from other populations [2,22]. It should be noted, however, that the diagnostic yield of CMA depends on many factors, including the resolution of the platform used, patient selection criteria, sample size, previous testing performed and the referring indication for testing.
Introduction of CMA, as well as NGS techniques into a diagnostic workflow, requires proper clinical validation. This becomes a challenge in neonatal and infant populations. As for CMA, NGS techniques are not widely available in the public health system in Argentina, mainly due to their high cost. In that sense, we studied a group of patients using NGS analysis based on a precise characterization of the patient’s phenotype, the so-called phenotype-first approach. In addition, we performed an exhaustive phenotype-driven gene list of interest developed internally to further allow the successful finding of clinically relevant genetic variants. By applying this approach, 12 out of 18 patients (67%) had clinically relevant (pathogenic or likely pathogenic) nucleotide variants (Table 3). In addition, five other genetic variants classified as VUS were found (three in iCHD, two in MCA).
Table 3.
Clinically relevant genetic variants found after NGS analysis.
4. Conclusions
To the best of our knowledge, the present report would be the first study of the contribution of genetic causes in a cohort of patients with CA applying CMA and NGS approaches in Argentina. Using a rational algorithm that combines molecular techniques with clinical and genetic evaluation, we were able to determine the genetic cause in 26.2% of the patients with MCA or iCHD analyzed until now. Karyotype anomalies were found in 13.4% of MCA patients, whereas imbalances in the 22q11 region were found in 20.5% of patients. The diagnostic yield of CMA, as a second or third-tier test for a cohort of MCA patients from the Argentinian public health system was 19%. Importantly, microarray testing has been proven to be especially useful in the identification of clinically relevant CNVs among MCA patients from our cohort, all of whom would have otherwise remained undiagnosed. Finally, based on a phenotype-first approach, 67% of the patients analyzed by NGS presented a clinically relevant genetic variant related to the disease. One of the most promising results from our work was the novel nucleotide variants and CNVs described for the first time worldwide, contributing to a better understanding of phenotypic manifestation of the diseases. Further studies are in progress to analyze the remaining patients with CA from our cohort.
Institutional Review Board Statement
All procedures performed in this study were in accordance with institutional and/or national research committee ethical standards and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study was approved by the ethics committee of the Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Buenos Aires, Argentina (Acta # 14, 16 September 2013).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Acknowledgments
To the families who agreed to participate in this study and to the PID ACM-CC Group: Noemí Buzzalino, Tania Castro, Belén Benavídez Mori, Laura Antonietti, Natalia Arrospide, Emilia Scadizzo, Bioq. Verónica Qualina, Ezequiel Romero, Pilar Anoni, Fabián Tomasoni, Graciela Luna, María Luján Zalazar, Delfina Stremiz, Melvin Barrantes, Fernando Monti, Yamila Flores, Graciela Carballido, Viviana Heevel, Valeria Gómez, Natalia Molina, Cecilia Iraira, Claudia Cuesta, Valeria Vera, María Ángeles Vilardo, Leoncio Billordo, Jaquelin Garello, Víctor Marques, María Márquez, Mirta Raggio, Olga Mangiante, Daniela Amor, Mónica Jewtuszyk, Blanca Senra, Natalia Izzo, Mariana Brautigam, Felicitas Fumiere, Graciela Fernández, María del Carmen Arbones y Norma Cecotti.
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