Paediatric cardiomyopathy is a progressive and often lethal disorder and the most common cause of heart failure in children. Despite their severe outcomes, their genetic etiology is still poorly characterised. The current study aimed at uncovering the genetic background of idiopathic primary hypertrophic cardiomyopathy in a cohort of Egyptian children using targeted next-generation sequencing. The study included 24 patients (15 males and 9 females) presented to the cardiomyopathy clinic of Cairo University Children\'s Hospital with a median age of 2.75 (0.5-14) years. Consanguinity was positive in 62.5% of patients. A family history of hypertrophic cardiomyopathy was present in 20.8% of patients. Ten rare variants were detected in eight patients; two pathogenic variants (8.3%) in MBPC3 and MYH7, and eight variants of uncertain significance in MYBPC3, TTN, VCL, MYL2, CSRP3, and RBM20.Here, we report on the first national study in Egypt that analysed sarcomeric and non-sarcomeric variants in a cohort of idiopathic paediatric hypertrophic cardiomyopathy patients using next-generation sequencing. The current pilot study suggests that paediatric hypertrophic cardiomyopathy in Egypt might have a particular genetic background, especially with the high burden of consanguinity. Including the genetic testing in the routine diagnostic service is important for a better understanding of the pathophysiology of the disease, proper patient management, and at-risk detection. Genome-wide tests (whole exome/genome sequencing) might be better than the targeted sequencing approach to test primary hypertrophic cardiomyopathy patients in addition to its ability for the identification of novel genetic causes.

Primary immunodeficiencies (PIDs) are inborn errors of the immune system. PIDs have been characterized immunologically for the last 60 years and genetically, principally by Sanger DNA sequencing, over the last 30 years. The advent of next-generation sequencing (NGS) in 2011, with the development of whole-exome sequencing in particular, has facilitated the identification of previously unknown genetic lesions. NGS is rapidly generating a stream of candidate variants for an increasing number of genetically undefined PIDs. The use of NGS technology is ushering in a new era, by facilitating the discovery and characterization of new PIDs in patients with infections and other phenotypes, thereby helping to improve diagnostic accuracy. This review provides a historical overview of the identification of PIDs before NGS, and the advances and limitations of the use of NGS for the diagnosis and characterization of PIDs.