Genetic Testing for Monogenic Forms of Male Infertility Contributes to the Clinical Diagnosis of Men with Severe Idiopathic Male Infertility.

Purpose: In recent years, many genes have been associated with male infertility; however, testing of monogenic forms has not yet been clinically implemented in the diagnosis of severe forms of idiopathic male infertility, as the diagnostic utility has not been established yet. The aim of this study was therefore to answer if the implementation of genetic testing for monogenic forms of male infertility could contribute to the clinical diagnosis of men with severe forms of idiopathic male infertility.

Materials And Methods: Based on the ClinGene curation protocol, we defined a panel of genes with sufficient evidence for the involvement with severe male infertility.

Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses.

Genetic diagnosis of rare diseases requires accurate identification and interpretation of genomic variants. Clinical and molecular scientists from 37 expert centers across Europe created the Solve-Rare Diseases Consortium (Solve-RD) resource, encompassing clinical, pedigree and genomic rare-disease data (94.5% exomes, 5.

Noonan Syndrome: Relation of Genotype to Cardiovascular Phenotype-A Multi-Center Retrospective Study.

Noonan syndrome (NS) is a congenital genetic disorder with a prevalence of 1 in 1000 to 2500 live births, and is characterized by distinctive facial features, short stature, chest deformities, and congenital heart disease. This study aims to evaluate the prevalence of specific genetic mutations and their impact on cardiovascular and other outcomes in NS. We conducted a retrospective clinical study of 25 pediatric patients diagnosed with NS at two institutions: The Mother and Child Health Care Institute of Serbia and the Clinic for Children Diseases, University Clinical Center of the Republic of Srpska.

The Genetic Architecture of Congenital Heart Disease in Neonatal Intensive Care Unit Patients-The Experience of University Medical Centre, Ljubljana.

Congenital heart disease (CHD) is the most commonly detected congenital anomaly and affects up to 1% of all live-born neonates. Current guidelines support the use of chromosomal microarray analysis (CMA) and next-generation sequencing (NGS) as diagnostic approaches to identify genetic causes. The aim of our study was to evaluate the diagnostic yield of CMA and NGS in a cohort of neonates with both isolated and syndromic CHD.