Inherited retinal diseases (IRDs) are extremely heterogeneous with at least 350 causative genes, complicating the process of genetic diagnosis. We analyzed samples of 252 index cases with IRDs using the Blueprint Genetics panel for \"Retinal Dystrophy\" that includes 351 genes. The cause of disease could be identified in 55% of cases. A clear difference was obtained between newly recruited cases (74% solved) and cases that were previously analyzed by panels or whole exome sequencing (26% solved). As for the mode of inheritance, 75% of solved cases were autosomal recessive (AR), 10% were X-linked, 8% were autosomal dominant, and 7% were mitochondrial. Interestingly, in 12% of solved cases, structural variants (SVs) were identified as the cause of disease. The most commonly identified genes were ABCA4, EYS and USH2A, and the most common mutations were MAK-c.1297_1298ins353 and FAM161A-c.1355_1356del. In line with our previous IRD carrier analysis, we identified heterozygous AR mutations that were not the cause of disease in 36% of cases. The studied IRD panel was found to be efficient in gene identification. Some variants were misinterpreted by the pipeline, and therefore, multiple analysis tools are recommended to obtain a more accurate annotation of potential disease-causing variants.

Hypertrophic cardiomyopathy (HCM) is a well-known manifestation of inherited mitochondrial disease. Still, currently available gene panels do not include mitochondrial genome sequencing. Mitochondrial dysfunction plays a very important role in the pathogenesis of HCM, whether tested positive or negative by the currently available gene panels for HCM. Mitochondrial DNA variations may act as modifiers of disease manifestation in genotype-positive individuals. In genotype-negative individuals, it may be the primary driver of pathogenesis. A recent study has demonstrated that mitochondrial dysfunction is correlated with septal hypertrophy in genotype-negative HCM, which can be amenable to mitochondria-targeted therapy. It is important to consider mitochondrial genome sequencing as part of the genetic evaluation of HCM.
Hypertrophic cardiomyopathy or ‘thick heart’ is a common heart problem that can lead to abnormal heart rhythm and even heart failure. In older adults, it is often due to high blood pressure that causes the heart to pump against high resistance and hence becoming thick. However, it can occur without high blood pressure, often in young individuals with underlying heart muscle disease. Sometimes, there are many individuals in a family with thick hearts. In these instances, it is likely genetic. The individual may have a faulty gene related to heart muscle function causing the heart to become thick as an adaptation to inefficient heart muscle function. Mitochondria are tiny organelles inside our cells that make energy. When there is mitochondrial damage, heart muscles cannot generate energy efficiently. This can lead to a thick heart as well. Hence, it is important to test mitochondrial genes along with the heart muscle genes to find the cause of thick heart when it is unexplained, or a genetic cause is suspected.

Background: Hereditary nonsyndromic hearing loss (NSHL) is an extremely heterogeneous disorder, both genetically and clinically. Myosin VI (MYO6) pathogenic variations have been reported to cause both prelingual and postlingual forms of NSHL. Postlingual autosomal dominant cases are often overlooked for genetic etiology in clinical setups. In this study, we used next-generation sequencing (NGS)-based targeted deafness gene panel assay to identify the cause of postlingual hearing loss in an Indian family. Methods: The proband and his father from a multigenerational Indian family affected by postlingual hearing loss were examined via targeted capture of 129 deafness genes, after excluding gap junction protein beta 2 (GJB2) pathogenic variants by Sanger sequencing. NGS data analysis and co-segregation of the candidate variants in the family were carried out. The variant effect was predicted by in silico tools and interpreted following American College of Medical Genetics and Genomics-Association for Molecular Pathology guidelines. Results: A novel heterozygous transversion c.3225T>G, p.(Tyr1075*) in MYO6 gene was identified as the disease-causing variant in this family. This stop-gained variant is predicted to form a truncated myosin VI protein, which is devoid of crucial cargo-binding domain. PCR-RFLP screening in 200 NSHL cases and 200 normal-hearing controls showed the absence of this variant indicating its de novo nature in the population. Furthermore, we reviewed MYO6 variants reported from various populations to date. Conclusions: To the best of our knowledge, this is the first family with MYO6-associated hearing loss from an Indian population. The study also highlights the importance of deafness gene panels in molecular diagnosis of GJB2-negative pedigrees, contributing to genetic counseling in the affected families.

OBJECTIVE: Chronic kidney disease of unknown etiology (CKDUE) is one of the main global causes of kidney failure. Genetic studies may identify an etiology in these patients, but few studies have implemented genetic testing of CKDUE in a population-based series of patients, which was the focus of the GENSEN Study.
METHODS: Case series.
METHODS: 818 patients aged≤45 years at 51 Spanish centers with CKDUE, and either an estimated glomerular filtration rate of<15mL/min/1.73m2 or treatment with maintenance dialysis or transplantation.
METHODS: Genetic testing for 529 genes associated with inherited nephropathies using high-throughput sequencing (HTS). Pathogenic and/or likely pathogenic (P/LP) gene variants concordant with the inheritance pattern were detected in 203 patients (24.8%). Variants in type IV collagen genes were the most frequent (COL4A5, COL4A4, COL4A3; 35% of total gene variants), followed by NPHP1, PAX2, UMOD, MUC1, and INF2 (7.3%, 5.9%, 2.5%, 2.5%, and 2.5%, respectively). Overall, 87 novel variants classified as P/LP were identified. The top 5 most common previously undiagnosed diseases were Alport syndrome spectrum (35% of total positive reports), genetic podocytopathies (19%), nephronophthisis (11%), autosomal dominant tubulointerstitial kidney disease (7%), and congenital anomalies of the kidney and urinary tract (CAKUT, 5%). A family history of kidney disease was reported by 191 participants (23.3%) and by 65 of 203 patients (32.0%) with P/LP variants.
CONCLUSIONS: Missing data, and selection bias resulting from voluntary enrollment.
CONCLUSIONS: Genomic testing with HTS identified a genetic cause of kidney disease in approximately one quarter of young patients with CKDUE and advanced kidney disease. These findings suggest that genetic studies are a potentially useful tool for the evaluation of people with CKDUE.
UNASSIGNED: The cause of kidney disease is unknown for 1 in 5 patients requiring kidney replacement therapy, reflecting possible prior missed treatment opportunities. We assessed the diagnostic utility of genetic testing in children and adults aged≤45 years with either an estimated glomerular filtration rate of<15mL/min/1.73m2 or treatment with maintenance dialysis or transplantation. Genetic testing identified the cause of kidney disease in approximately 1 in 4 patients without a previously known cause of kidney disease, suggesting that genetic studies are a potentially useful tool for the evaluation of these patients.

Maturity-onset diabetes of the young (MODY) is part of the heterogeneous group of monogenic diabetes (MD) characterized by the non-immune dysfunction of pancreatic β-cells. The diagnosis of MODY still remains a challenge for clinicians, with many cases being misdiagnosed as type 1 or type 2 diabetes mellitus (T1DM/T2DM), and over 80% of cases remaining undiagnosed. With the introduction of modern technologies, important progress has been made in deciphering the molecular mechanisms and heterogeneous etiology of MD, including MODY. The aim of our study was to identify genetic variants associated with MODY in a group of patients with early-onset diabetes/prediabetes in whom a form of MD was clinically suspected. Genetic testing, based on next-generation sequencing (NGS) technology, was carried out either in a targeted manner, using gene panels for monogenic diabetes, or by analyzing the entire exome (whole-exome sequencing). GKC-MODY 2 was the most frequently detected variant, but rare forms of KCNJ11-MODY 13, specifically, HNF4A-MODY 1, were also identified. We have emphasized the importance of genetic testing for early diagnosis, MODY subtype differentiation, and genetic counseling. We presented the genotype-phenotype correlations, especially related to the clinical evolution and personalized therapy, also emphasizing the particularities of each patient in the family context.

As next-generation sequencing (NGS) has become more widely used, germline and rare genetic variations responsible for inherited illnesses, including cancer predisposition syndromes (CPSs) that account for up to 10% of childhood malignancies, have been found. The CPSs are a group of germline genetic disorders that have been identified as risk factors for pediatric cancer development. Excluding a few \"classic\" CPSs, there is no agreement regarding when and how to conduct germline genetic diagnostic studies in children with cancer due to the constant evolution of knowledge in NGS technologies. Various clinical screening tools have been suggested to aid in the identification of individuals who are at greater risk, using diverse strategies and with varied outcomes. We present here an overview of the primary clinical and molecular characteristics of various CPSs and summarize the existing clinical genomics data on the prevalence of CPSs in pediatric cancer patients. Additionally, we discuss several ethical issues, challenges, limitations, cost-effectiveness, and integration of genomic newborn screening for CPSs into a healthcare system. Furthermore, we assess the effectiveness of commonly utilized decision-support tools in identifying patients who may benefit from genetic counseling and/or direct genetic testing. This investigation highlights a tailored and systematic approach utilizing medical newborn screening tools such as the genome sequencing of high-risk newborns for CPSs, which could be a practical and cost-effective strategy in pediatric cancer care.

BACKGROUND: Kidney failure in young people is often unexplained and a significant proportion will have an underlying genetic diagnosis. National Health Service England pioneered a comprehensive genomic testing service for such circumstances accessible to clinicians working outside of genetics. This is the first review of patients using this novel service since October 2021, following its introduction into clinical practice.
METHODS: The \'Unexplained Young-Onset End-Stage Renal Disease\' (test-code R257) gene panel uses targeted next generation sequencing to analyse 175 genes associated with renal disease in patients under 36 years of age. All tests undertaken between October 2021 and February 2022 were reviewed. Phenotypic data were extracted from request forms and referring clinicians contacted where additional details were required.
RESULTS: Seventy-one patients underwent R257 testing over the study period. Among them, 23/71 patients (32%) were confirmed to have a genetic diagnosis and 2/71 (3%) had a genetically suggestive variant. Nephronophthisis and Alport syndrome were the most common conditions identified, (4/23 (17%) with pathogenic variants in NPHP1 and 4/23 (17%) with pathogenic variants in COL4A3/COL4A4). Positive predictors of a genetic diagnosis included a family history of renal disease (60% of positive cases) and extra-renal disease manifestations (48% of positive cases).
CONCLUSIONS: This is the first study to evaluate the R257 gene panel in unexplained young-onset kidney failure, freely accessible to patients meeting testing criteria in England. A genetic diagnosis was identified in 32% of patients. This study highlights the essential and expanding role that genomic testing has for children and families affected by renal disease today.

UNASSIGNED: Sudden Unexpected Death in Epilepsy (SUDEP) is the leading epilepsy-related cause of death, affecting approximately 1 per 1,000 individuals with epilepsy per year. Genetic variants that affect autonomic function, such as genes associated with cardiac arrhythmias, may predispose people with epilepsy to greater risk of both sudden cardiac death and SUDEP. Advances in next generation sequencing allow for the exploration of gene variants as potential biomarkers.
UNASSIGNED: Genetic testing for the presence of cardiac arrhythmia and epilepsy gene variants was performed via genetic panels in 39 cases of SUDEP identified via autopsy by the Ontario Forensic Pathology Service. Variants were summarized by in-silico evidence for pathogenicity from 4 algorithms (SIFT, PolyPhen-2, PROVEAN, Mutation Taster) and allele frequencies in the general population (GnomAD). A maximum credible population allele frequency of 0.00004 was calculated based on epilepsy prevalence and SUDEP incidence to assess whether a variant was compatible with a pathogenic interpretation.
UNASSIGNED: Median age at the time of death was 33.3 years (range: 2, 60). Fifty-nine percent (n=23) were male. Gene panels detected 62 unique variants in 45 genes: 19 on the arrhythmia panel and 26 on the epilepsy panel. At least one variant was identified in 28 (72%) of decedents. Missense mutations comprised 57 (92%) of the observed variants. At least three in silico models predicted 12 (46%) cardiac arrhythmia panel missense variants and 20 (65%) epilepsy panel missense variants were pathogenic. Population allele frequencies were <0.00004 for 11 (42%) of the cardiac variants and 10 (32%) of the epilepsy variants. Together, these metrics identified 13 SUDEP variants of interest.
UNASSIGNED: Nearly three-quarters of decedents in this SUDEP cohort carried variants in comprehensive epilepsy or cardiac arrhythmia gene panels, with more than a third having variants in both panels. The proportion of decedents with cardiac variants aligns with recent studies of the disproportionate cardiac burden the epilepsy community faces compared to the general population and suggests a possible cardiac contribution to epilepsy mortality. These results identified 13 priority targets for future functional studies of these genes potential role in sudden death and demonstrates the necessity for further exploration of potential genetic contributions to SUDEP.

Molecular genetics enables more precise diagnoses of skeletal dysplasia and other skeletal disorders (SDs). We investigated the clinical utility of multigene panel testing for 5011 unrelated individuals with SD in the United States (December 2019-April 2022). Median (range) age was 8 (0-90) years, 70.5% had short stature and/or disproportionate growth, 27.4% had a positive molecular diagnosis (MDx), and 30 individuals received two MDx. Genes most commonly contributing to MDx were FGFR3 (16.9%), ALPL (13.0%), and COL1A1 (10.3%). Most of the 112 genes associated with ≥1 MDx were primarily involved in signal transduction (n = 35), metabolism (n = 23), or extracellular matrix organization (n = 17). There were implications associated with specific care/treatment options for 84.4% (1158/1372) of MDx-positive individuals; >50% were linked to conditions with targeted therapy approved or in clinical development, including osteogenesis imperfecta, achondroplasia, hypophosphatasia, and mucopolysaccharidosis. Forty individuals with initially inconclusive results became MDx-positive following family testing. Follow-up mucopolysaccharidosis enzyme activity testing was positive in 14 individuals (10 of these were not MDx-positive). Our findings showed that inclusion of metabolic genes associated with SD increased the clinical utility of a gene panel and confirmed that integrated use of comprehensive gene panel testing with orthogonal testing reduced the burden of inconclusive results.

In recent years, an increasing number of genes associated with male and female infertility have been identified. The genetics of infertility is no longer limited to the analysis of karyotypes or specific genes, and it is now possible to analyse several dozen infertility genes simultaneously. Here, we present the diagnostic activity over the past two years including 140 patients (63 women and 77 men). Targeted sequencing revealed causative variants in 17 patients, representing an overall diagnostic rate of 12.1%, with prevalence rates in females and males of 11% and 13%, respectively. The gene-disease relationship (GDR) was re-evaluated for genes due to the addition of new patients and/or variants in the actual study. Five genes changed categories: two female genes (MEIOB and TBPL2) moved from limited to moderate; two male genes (SOHLH1 and GALNTL5) moved from no evidence to strong and from limited to moderate; and SEPTIN12, which was unable to classify male infertility, was reclassified as limited. Many infertility genes have yet to be identified. With the increasing integration of genetics in reproductive medicine, the scope of intervention extends to include other family members, in addition to individual patients or couples. Genetic counselling consultations and appropriate staffing will need to be established in fertility centres. Trial registration number: Not applicable.