Characterization of genomic variants associated with congenital heart disease in patients from southwestern Colombian

Abstract

Congenital heart diseases correspond to errors during embryogenesis, generating structural and functional malformations. Congenital heart diseases are the most prevalent congenital malformations and are responsible for the highest infant morbidity and mortality. Among these cases, 8 % can be attributed to variants in genes associated with cardiac development. To establish the population frequency of genomic variants that cause congenital heart disease, a review of the scope of prevalent genes was carried out, complete exome sequencing results of 320 patients without suspicion of congenital heart disease were used, the exome sequencing is a technique based on DNA extraction using a Qiagen kit, with massive sequencing of Nextera TM libraries using an Illumina platform with 100X coverage, alignment with reference genome GRCh38/hg19, and analysis with the CRAVAT program; clinical characterization, significance classification, and gene interaction networks were performed. The scope analysis allowed to determine that the genes NKX2-5, TBX20, GATA4, NOTCH1, PTPN11 are the most prevalent, the variants with the highest allelic frequency were c.63A > G (0.2844), c.39T > C (0.3406), c.1132A > G (0.0406), c.1669+9T > C (0.3531) and c.854-30T > C (0.0875) respectively; 4 variants were reclassified by in silico tools, in the NKX2-5 gene c.335-311_335-303del from benign to probably pathogenic, in the NOTCH1 gene c.2354-24C > T from benign to pathogenic, and in the PTPN11 gene c.2354-24C > T and c.854-30T > C from benign to pathogenic. 17 % of intronic variants and 4.8 % of missense variants were identified. This work contributes to knowledge about the frequency with which genomic variants associated with congenital heart disease are present in the population, generating a tool for early diagnosis, early treatment, thus reducing morbidity and mortality, with a view to future universal molecular neonatal screening of congenital heart disease.

Keywords: Congenital heart disease; Exome sequencing; Genes; In silico models.

Figure 1

Number of variants and type of change of the NKX2-5, TBX20, GATA4, NOTCH1 and PTPN11 genes. A total of 336 variants were obtained, the NOTCH1 gene presented the highest number of variants.

Figure 2

Clinical significance according to ACMG, generated by In-silico tools for the genomic variants of the genes NKX2-5, TBX20, GATA4, NOTCH1 and PTPN1, two variants were reclassified as pathogenic, one variant as probably pathogenic, and sixteen variants to vous.