Genetic Diagnostic Yield Research Articles

Trio-whole exome sequencing reveals the importance of de novo variants in children with intellectual disability and developmental delay.

Understanding the genetic basis of developmental delay (DD) and intellectual disability (ID) remains a considerable clinical challenge. This study evaluated the clinical application of trio whole exome sequencing (WES) in children diagnosed with DD/ID. The study comprised 173 children with unexplained DD/ID. The participants underwent trio-WES and their demographic, clinical, and genetic characteristics were evaluated. Based on their clinical features, the participants were classified into two groups for further analysis: a syndromic DD/ID group and a non-syndromic DD/ID group. The genetic diagnostic yield of the 173 children diagnosed with DD/ID was 49.7% (86/173). This included 58 pathogenic or likely pathogenic single nucleotide variants (SNVs) in 41 genes identified across 54 individuals (31.2%) through trio-WES. Among these, 22 SNVs had not been previously reported. Additionally, 30 copy number variations (CNVs) were detected in 36 individuals (20.8%). The diagnostic yield in the syndromic DD/ID group was higher than that in the non-syndromic DD/ID group (57.8% vs. 47.2%, P < 0.001). Within the syndromic DD/ID subgroup, the diagnostic yield of the DD/ID with epilepsy subgroup (83.9%) was significantly higher than those of the other subgroups (P < 0.001). Based on the analysis of the individuals' clinical phenotypes, the individuals with facial dysmorphism shown a higher diagnostic yield (68.2%, P < 0.001). The diagnostic yield of SNVs was higher in the individuals with DD/ID accompanied by epilepsy, whereas the diagnostic yield of CNVs was higher in the DD/ID without epilepsy group. Similarly, the diagnostic yield of de novo SNVs was higher in the DD/ID with epilepsy group, while the diagnostic yield of de novo CNVs was higher in the DD/ID without epilepsy group (all P < 0.001). Trio-WES is a crucial tool for the genetic diagnosis of DD/ID, demonstrating a diagnostic yield of up to 49.7%. De novo variants in autosomal dominant genes are significant contributors to DD/ID, particularly in non-consanguineous families.

Genetic Diagnostic Yield in Autism Spectrum Disorder (ASD) and Epilepsy Phenotypes in Children with Genetically Defined ASD.

We compared the epilepsy phenotypes in children with genetically defined versus undefined autism spectrum disorder (ASD). A single-center retrospective study was conducted to investigate diagnostic yields of different genetic testing for children with ASD. Patients with at least one testing modality were included and classified as having genetically defined ASD or not based on updated genotype-phenotype correlation. Of the 523 patients included, 79 (15.1%) had results explaining their ASD diagnosis. WES (whole exome sequencing) outperformed CMA (chromosomal microarray) on diagnostic yield (23.0% versus 8.3%). Compared to those with non-diagnostic test(s), children with genetically defined ASD were associated with higher rates for microcephaly, hypotonia, dysmorphic features, and developmental delay/regression. The prevalence of epilepsy was significantly higher in children with genetically defined ASD than those without a genetic diagnosis (35.4% versus 16.4%, p < 0.001, power = 0.97). Furthermore, children with genetically defined ASD had a younger age of epilepsy onset (median 2.2 versus 5.0years, p = 0.002, power = 0.90) and a higher rate of drug-resistant epilepsy although not reaching statistical significance (35.7% versus 21.9%, p = 0.20). Our study has provided further evidence to support WES as first-tier test for children with ASD and that an early genetic diagnosis has the potential to inform further surveillance and management for ASD comorbid conditions including epilepsy.

Investigation of patients with childhood epilepsy in single center: Comprehensive genetic testing experience.

Epilepsy is a common multifactorial neurological disease usually diagnosed during childhood. In this study, we present the contribution of consecutive genetic testing to the genetic diagnostic yield of childhood epilepsy. In 100 children (53 female, 47 male) with epilepsy, targeted sequencing (TS) and clinical exome sequencing (CES) were performed. All cases (n= 100) included in the study were epilepsy patients. In addition, we investigated the genetic diagnosis rates according to the associated co-occurring findings (including developmental delay/intellectual disability, brain malformations, macro-/microcephaly, and dysmorphic features). The overall diagnostic rate in this study was 33% (n= 33 patients). We identified 11 novel variants in WDR45, ARX, PCDH19, SCN1A, CACNA1A, LGI1, ASPM, MECP2, NF1, TSC2, and CDK13. Genetic diagnosis rates were as follows: cases with developmental delay/intellectual disability 38.7% (24/62) and without developmental delay/intellectual disability 23.6% (9/38); cases with brain malformations 46.8% (15/32) and without brain malformations 25% (16/64); cases with macro-/microcephaly 50% (6/12) and without macro-/microcephaly 28.4% (25/88); and cases with dysmorphic features 48.2% (14/29) and without dysmorphic features 23.9% (17/71). Genotype-phenotype correlation is even more important in diseases such as epilepsy, which include many genes and variants of these genes in etiopathogenesis. We presented the clinical findings of the cases carrying 11 novel variants in detail, including dysmorphic features, accompanying neurodevelopmental disorders, EEG results, and brain MRI results.

Genetic Characterization of 191 Probands with Inherited Retinal Dystrophy by Targeted NGS Analysis.

Inherited retinal diseases (IRDs) represent a frequent cause of blindness in children and adults. As a consequence of the phenotype and genotype heterogeneity of the disease, it is difficult to have a specific diagnosis without molecular testing. To date, over 340 genes and loci have been associated with IRDs. We present the molecular finding of 191 individuals with IRD, analyzed by targeted next-generation sequencing (NGS). For 67 of them, we performed a family segregation study, considering a total of 126 relatives. A total of 359 variants were identified, 44 of which were novel. Genetic diagnostic yield was 41%. However, after stratifying the patients according to their clinical suspicion, diagnostic yield was higher for well-characterized diseases such as Stargardt disease (STGD), at 65%, and for congenital stationary night blindness 2 (CSNB2), at 64%. Diagnostic yield was higher in the patient group where family segregation analysis was possible (68%) and it was higher in younger (55%) than in older patients (33%). The results of this analysis demonstrated that targeted NGS is an effective method for establishing a molecular genetic diagnosis of IRDs. Furthermore, this study underlines the importance of segregation studies to understand the role of genetic variants with unknow pathogenic role.

Current real-world evidence of genetic testing diagnostic yield in a large cohort of long QT syndrome

Abstract Background Diagnostic yield in long QT syndrome (LQTS) ranges between 30-70%, depending on the studied population. LQTS can lead to an unexpected sudden cardiac death. For this reason and due to its wider current availability, genetic testing in patients with suspicion of LQTS has spread. Purpose The aim of this study is to investigate the genetic testing yield among a large cohort of heterogeneous index cases with LQTS phenotype. Methods Diagnostic yield was restrospectively evaluated in a cohort of index cases referred to our laboratory for genetic study with LQTS phenotype. Genetic study was performed with customized libraries through next generation sequencing (NGS), which included copy number variations (CNVs) analysis. Patients with LQTS phenotype studied both with "long QT panels" and with broader cardiovascular panels were included, but those with additional cardiac phenotype (cardiomyopathies, heart defects or catecholaminergic polymorphic ventricular tachycardia) were excluded. Positive genetic reports were considered when a likely pathogenic (LP) or pathogenic (P) variant could explain patient´s phenotype. Inconclusive reports were described when a variant considered risk factor (RF) or a variant of uncertain significance variant (VUS) or a hot-VUS was identified in a clinically relevant gene. Results 1183 index cases were genotyped for LQTS phenotype. Only 164 index cases (13,8%) were studied with broader panels which included between 77 and 368 genes. The rest (n=1019) were studied with LQTS panels (either with small panels which included KCNQ1, KCNH2, KCNE1, KCNE2, SCN5A, KCNJ2, CACNA1C and with up to 36 genes-QT panels). Around 27% (n=321) of the index cases had a positive result. They carried LP/P variants in the following genes: KCNQ1 (n=166, 52%), KCNH2 (n=112), SCN5A (n=25), RYR2 (n=5), CACNA1C (n=3), HCN4 (n=4), KCNJ2 (n=2), KCNE2 (n=2) and CALM2 (n=1). 53,3% of the reports were negative. However, there were some incidental findings: 2 index cases carried P variants in LDLR, 2 carried P variants in PKP2, 2 carried a P variant in MYBPC3 and 1 index case each carried a P variant in DES, TTN and DSG2. From the 231 inconclusive reports, 37 index cases carried the RF variant in KCNE1 (p.Asp85Asn), 2 carried the RF variant in SCN5A (p.Arg1193Gln) and 50 patients carried hot-VUS in KCNQ1, KCNH2, CACNA1C, SCN5a or RYR2 gene. Conclusions In our large cohort of index cases referred for genetic testing for LQTS, diagnostic yield was around 27% when considering only LP/P variants in LQTS or arrhythmic phenotype related genes. Even by including the inconclusive but potentially relevant genetic results (RF and hot VUS), the diagnostic yield in our cohort reaches 35%. This is lower than expected for LQTS cohort. It should be taken into consideration that our cohort consists of heterogeneous patients referred for LQTS genetic testing, which would probably reflects better the real world patients seen in every day practice.

Increasing the diagnostic yield of childhood glaucoma cases recruited into the 100,000 Genomes Project

Childhood glaucoma (CG) encompasses a heterogeneous group of genetic eye disorders that is responsible for approximately 5% of childhood blindness worldwide. Understanding the molecular aetiology is key to improving diagnosis, prognosis and unlocking the potential for optimising clinical management. In this study, we investigated 86 CG cases from 78 unrelated families of diverse ethnic backgrounds, recruited into the Genomics England 100,000 Genomes Project (GE100KGP) rare disease cohort, to improve the genetic diagnostic yield. Using the Genomics England/Genomic Medicine Centres (GE/GMC) diagnostic pipeline, 13 unrelated families were solved (13/78, 17%). Further interrogation using an expanded gene panel yielded a molecular diagnosis in 7 more unrelated families (7/78, 9%). This analysis effectively raises the total number of solved CG families in the GE100KGP to 26% (20/78 families). Twenty-five percent (5/20) of the solved families had primary congenital glaucoma (PCG), while 75% (15/20) had secondary CG; 53% of this group had non-acquired ocular anomalies (including iris hypoplasia, megalocornea, ectopia pupillae, retinal dystrophy, and refractive errors) and 47% had non-acquired systemic diseases such as cardiac abnormalities, hearing impairment, and developmental delay. CYP1B1 was the most frequently implicated gene, accounting for 55% (11/20) of the solved families. We identified two novel likely pathogenic variants in the TEK gene, in addition to one novel pathogenic copy number variant (CNV) in FOXC1. Variants that passed undetected in the GE100KGP diagnostic pipeline were likely due to limitations of the tiering process, the use of smaller gene panels during analysis, and the prioritisation of coding SNVs and indels over larger structural variants, CNVs, and non-coding variants.

Genomic Contributors to Esophageal Atresia and Tracheoesophageal Fistula: A 12 Year Retrospective Review

To evaluate genetic testing utilization and diagnostic yield in infants with esophageal atresia (EA)/tracheoesophageal fistula (TEF) over the past 12years to inform future practices and individualize prognostication and management. A retrospective cohort study was performed for all infants with EA or EA/TEF hospitalized between January 2011 and January 2023 at a quaternary children's hospital. For each infant, demographic information, prenatal and postnatal history, and genetic testing were reviewed. There were 212 infants who were classified as follows: 1) complex/syndromic with EA/TEF plus an additional major anatomic anomaly (n=114, of which 74 met VACTERL criteria); 2) isolated/nonsyndromic EA/TEF (n=88) and 3) isolated/nonsyndromic EA (n=10). A range of genetic tests were sent with varying diagnostic rates including karyotype analysis in 12 (all with complex/syndromic phenotypes and all positive), chromosomal microarray analysis in 189 (114 of whom were complex/syndromic with an overall diagnostic rate of 3/189), single gene testing for CHD7 in 18 (4 positive), and exome analysis in 37 complex/syndromic patients (8 positive). EA/TEF with and without additional anomalies is genetically heterogeneous with a broad range of associated phenotypes. While the genetic etiology of EA/TEF with or without VACTERL remains largely unknown, genome wide testing (exome or genome) including copy number analysis is recommended over chromosomal microarray testing. We anticipate that expanded genetic/genomic testing modalities such as RNA sequencing and tissue specific molecular testing are needed in this cohort to improve our understanding of the genomic contributors to EA/TEF.

KCNJ3 is a novel candidate gene for autosomal dominant pure hereditary spastic paraplegia identified using whole genome sequencing.

Hereditary spastic paraplegia (HSP) is a group of familial diseases characterized by progressive corticospinal tract degeneration. Clinically, patients present with lower-limb spasticity and weakness. To date, more than 80 genetic HSP types have been identified. Despite advances in molecular genetics, novel HSP gene discoveries are ongoing, with a low genetic diagnostic yield. In this study, we aimed to determine pathogenic variants in a family with HSP, which was not diagnosed through conventional genetic testing. We clinically characterized a large family and conducted whole genome sequencing (WGS) analysis of four affected and three unaffected individuals in the family to identify the genetic cause of HSP. This family had autosomal dominant pure (uncomplicated) late childhood-onset HSP. The patients' symptoms accelerated between the ages of 20 and 30. Brain magnetic resonance images typically showed white matter changes, a thin corpus callosum, and cerebellar atrophy. We identified a heterozygous missense variant, KCNJ3 c.1297T>G (p.Leu433Val), through WGS and family genetic analysis, confirmed by Sanger sequencing. We suggest that the identification of KCNJ3 c.1297T>G (p.Leu433Val) constitutes the discovery of a potential novel gene responsible for HSP in this family. This is the first study to report the possible role of a KCNJ3 variant in HSP pathogenesis. Our findings further expand the phenotypic and genotypic spectrum of HSP.

Identification of genetic causes in children with unexplained epilepsy based on trio-whole exome sequencing.

Genotype and clinical phenotype analyses of 128 children were performed based on whole exome sequencing (WES), providing a reference for the provision of genetic counseling and the precise diagnosis and treatment of epilepsy. A total of 128 children with unexplained epilepsy were included in this study, and all their clinical data were analyzed. The children's treatments, epilepsy control, and neurodevelopmental levels were regularly followed up every 3 months. The genetic diagnostic yield of the 128 children with epilepsy is 50.8%, with an SNV diagnostic yield of 39.8% and a CNV diagnostic yield of 12.5%. Among the 128 children with epilepsy, 57.0% had onset of epilepsy in infancy, 25.8% have more than two clinical seizure forms, 62.5% require two or more anti-epileptic drug treatments, and 72.7% of the children have varying degrees of psychomotor development retardation. There are significant differences between ages of onset, neurodevelopmental levels and the presence of drug resistance in the genetic diagnostic yield (all p < 0.05). The 52 pathogenic/likely pathogenic SNVs involve 31 genes, with genes encoding ion channels having the largest number of mutations (30.8%). There were 16 cases of pathogenic/possibly pathogenic CNVs, among which the main proportions of CNVs were located in chromosome 15 and chromosome 16. Trio-WES is an essential tool for the genetic diagnosis of unexplained epilepsy, with a genetic diagnostic yield of up to 50.8%. Early genetic testing can provide an initiate appropriate therapies and accurate molecular diagnosis.

Idiopathic ventricular fibrillation: is it acase for genetic testing?

Idiopathic ventricular fibrillation (IVF) is adiagnosis of exclusion in sudden cardiac arrest (SCA) survivors. Although there are clear guidelines on the clinical work-up of SCA survivors, less than one in five patients receives acomplete work-up. This increases the chances of erroneously labelling these patients as having IVF, while 10-20% of them have an inherited cardiac condition (ICC). Diagnoses of ICC increase over time due to (additional) deep phenotyping or as a result of spontaneous expression of ICC over time. As SCA survivors can also harbor (likely) pathogenic variants in cardiomyopathy-associated genes in the absence of aphenotype, or can have another ICC without aclear cardiac phenotype, the question arises as to whether genetic testing in this group should be routinely performed. Family history (mainly in the case of sudden death) can increase suspicion of an ICC in an SCA victim, but does not add great value when adults underwent acomplete cardiological work-up. The diagnosis of ICC has treatment consequences not only for the patient but also for their family. Genetic diagnostic yield does not appear to increase with larger gene panels, but variants of unknown significance (VUS) do. Although VUS can be confusing, careful and critical segregation analysis in the family can be performed when discussed in amultidisciplinary team at acenter of expertise with at least acardiologist as well as aclinical and laboratory geneticist, thereby degrading or promoting VUS. When to introduce genetic testing in SCA survivors remains amatter of debate, but the combination of quick, deep phenotyping with additional genetic testing for the unidentifiable phenotypes, especially in the young, seems preferable.

Whole genome sequencing enables new genetic diagnosis for inherited retinal diseases by identifying pathogenic variants

Inherited retinal diseases (IRDs) are a group of common primary retinal degenerative disorders. Conventional genetic testing strategies, such as panel-based sequencing and whole exome sequencing (WES), can only elucidate the genetic etiology in approximately 60% of IRD patients. Studies have suggested that unsolved IRD cases could be attributed to previously undetected structural variants (SVs) and intronic variants in IRD-related genes. The aim of our study was to obtain a definitive genetic diagnosis by employing whole genome sequencing (WGS) in IRD cases where the causative genes were inconclusive following an initial screening by panel sequencing. A total of 271 unresolved IRD patients and their available family members (n = 646) were screened using WGS to identify pathogenic SVs and intronic variants in 792 known ocular disease genes. Overall, 13% (34/271) of IRD patients received a confirmed genetic diagnosis, among which 7% were exclusively attributed to SVs, 4% to a combination of single nucleotide variants (SNVs) and SVs while another 2% were linked to intronic variants. 22 SVs, 3 deep-intronic variants, and 2 non-canonical splice-site variants across 14 IRD genes were identified in the entire cohort. Notably, all of these detected SVs and intronic variants were novel pathogenic variants. Among those, 74% (20/27) of variants were found in genes causally linked to Retinitis Pigmentosa (RP), with the gene EYS being the most frequently affected by SVs. The identification of SVs and intronic variants through WGS enhances the genetic diagnostic yield of IRDs and broadens the mutational spectrum of known IRD-associated genes.

Early Diagnosis of Syndromic Congenital Cataracts in a Large Cohort of Congenital Cataracts

PurposeTo explore the factors related to the diagnosis yield of syndromic congenital cataracts and describe the phenotype-genotype correlation in congenital cataract patients. DesignProspective cohort study. MethodsSetting: The participants from underwent clinical examinations between 2021 and 2022. Facial and anterior eye segment photographs, pre-and post-operative ocular parameters, and medical and family histories were recorded. Bioinformatics analysis was performed using whole-exome sequencing data. Statistical and correlation analyses were performed using the basic characteristics, deep phenotype, and genotype data. Participants: 115 unrelated congenital cataract patients. Interventions: performing clinical examinations, whole-exome sequencing (WES) and bioinformatics analysis for all participants. Main outcomes and measures: Factors related to genetic diagnosis yield of syndromic congenital cataracts. ResultsBilaterally asymmetrical cataracts were identified associating with syndromic congenital cataracts. The overall genetic diagnostic yield in the cohort was 72.2%. 34.8% of the probands were early diagnosed as various syndromes with the help of genetic information. Phenotype-genotype correlation was detected for some genes and deep phenotypes. ConclusionsWe highlight the importance of screening syndromic diseases in the patients with asymmetrical congenital cataracts. Application of WES help provide early diagnosis and treatment for the patients with syndromic congenital cataracts. This study also achieved a high genetic diagnostic yield, expanded the genotypic spectrum, and found phenotype-genotype correlations. A comprehensive analysis of cataract symmetricity, family history, and deep phenotypes makes the genotype prediction of some congenital cataract patients possible.

Genetic ancestry and diagnostic yield of exome sequencing in a diverse population

It has been suggested that diagnostic yield (DY) from Exome Sequencing (ES) may be lower among patients with non-European ancestries than those with European ancestry. We examined the association of DY with estimated continental/subcontinental genetic ancestry in a racially/ethnically diverse pediatric and prenatal clinical cohort. Cases (N = 845) with suspected genetic disorders underwent ES for diagnosis. Continental/subcontinental genetic ancestry proportions were estimated from the ES data. We compared the distribution of genetic ancestries in positive, negative, and inconclusive cases by Kolmogorov–Smirnov tests and linear associations of ancestry with DY by Cochran-Armitage trend tests. We observed no reduction in overall DY associated with any genetic ancestry (African, Native American, East Asian, European, Middle Eastern, South Asian). However, we observed a relative increase in proportion of autosomal recessive homozygous inheritance versus other inheritance patterns associated with Middle Eastern and South Asian ancestry, due to consanguinity. In this empirical study of ES for undiagnosed pediatric and prenatal genetic conditions, genetic ancestry was not associated with the likelihood of a positive diagnosis, supporting the equitable use of ES in diagnosis of previously undiagnosed but potentially Mendelian disorders across all ancestral populations.

Evaluation of variants in maturity onset of diabetes young related genes in Balıkesir region

Aims: Maturity-onset diabetes of the young (MODY) is an early-onset, monogenic diabetes with an autosomal dominant inheritance pattern. Single gene mutations that cause dysfunction in pancreatic beta cells are responsible for MODY etiology. In this study, we investigated the genetic variants involved in the etiopathogenesis of MODY in our region.&#x0D; Methods: Between May 2018 and April 2023, 40 pediatric patients (n=25 females, n=15 males) with a clinical diagnosis of MODY were evaluated by targeted genome sequencing.&#x0D; Results: Among the 40 pediatric patients included in this study, variants in MODY-associated genes were detected in 21 patients (52.5%), eight (38.09%), of which were pathogenic (38.09%), five (23.8%) were probable pathogenic, and eight (38.09%), were of uncertain significance.&#x0D; Conclusion: In this study, genetic diagnostic yield (including pathogenic and likely pathogenic variants) was detected in 32.5% (13/40) patients with MODY using targeted genome sequencing analysis. This rate is consistent with other studies. However, unlike other similar studies, the MODY12 subtype was the second most frequent in our study. In addition, nine novel variants were reported, including ABCC8 (n=3), CEL (n=2), KLF11 (n=1), GCK (n=1), HNF1A (n=1), and HNF1B (n=1) genes. We have presented clinical findings to improve genotype-phenotype correlation in the literature for novel variants.

Improving genetic diagnostic yield in a large cohort of children with rare vascular anomalies or PIK3CA-related overgrowth spectrum

PurposeDrugs that attenuate hyperactivation of the phosphatidylinositol 3-kinase-Akt and Ras-mitogen-activated protein kinase signaling pathways are emerging treatments for children with rare, intractable vascular anomalies or PIK3CA-related overgrowth spectrum (PROS) with an eligible genetic diagnosis. However, access to genetic testing remains a barrier to genetic diagnosis. Here, we implement a targeted molecular diagnostic strategy for vascular anomalies or PROS. MethodsWe applied a novel genetic testing strategy to children with vascular anomalies or PROS using a tiered approach of (1) droplet digital PCR, (2) Sanger sequencing, (3) high-depth exome sequencing, and (4) reanalysis of existing clinical exome data. ResultsWe applied this strategy to 60 individuals detecting pathogenic somatic variants in 33 of 60 (55%). This included 26 individuals with slow-flow lesions with variants in PIK3CA, TEK, GNAQ, GNA11, BRAF, or PIK3R1, 4 individuals with fast-flow lesions with variants in KRAS or MAP2K1, 1 individual with a PIK3CA variant and a mixed phenotype, and 2 individuals with PIK3CA variants and PROS without vascular anomalies. ConclusionWe demonstrate an effective genetic diagnostic strategy for children with vascular anomalies or PROS identifying somatic variants in 55% of individuals. Increasing genetic diagnostic yield extends the clinicogenetic spectrum and may provide access for those with intractable disease to therapeutic drug trials.

Genetic diagnostic yield in an 11-year cohort of craniosynostosis patients

Craniosynostosis may present in isolation, ‘non-syndromic’, or with additional congenital anomalies/neurodevelopmental disorders, ‘syndromic’. Clinical focus shifted from confirming classical syndromic cases to offering genetic testing to all craniosynostosis patients. This retrospective study assesses diagnostic yield of molecular testing by investigating prevalences of chromosomal and monogenic (likely) pathogenic variants in an 11-year cohort of 1020 craniosynostosis patients. 502 children underwent genetic testing. Pathogenic variants were identified in 174 patients (35%). Diagnostic yield was significantly higher in syndromic craniosynostosis (62%) than in non-syndromic craniosynostosis (6%). Before whole exome sequencing (WES) emerged, single-gene testing was performed using Sanger sequencing or multiplex ligation-dependent probe amplification (MLPA). Diagnostic yield was 11% and was highest for EFNB1, FGFR2, FGFR3, and IL11RA. Diagnostic yield for copy number variant analysis using microarray was 8%. From 2015 onwards, the WES craniosynostosis panel was implemented, with a yield of 10%. In unsolved, mainly syndromic, cases suspected of a genetic cause, additional WES panels (multiple congenital anomalies (MCA)/intellectual disability (ID)) or open exome analysis were performed with an 18% diagnostic yield. To conclude, microarray and the WES craniosynostosis panel are key to identifying pathogenic variants. in craniosynostosis patients. Given the advances in genetic diagnostics, we should look beyond the scope of the WES craniosynostosis panel and consider extensive genetic diagnostics (e.g. open exome sequencing, whole genome sequencing, RNA sequencing and episignature analysis) if no diagnosis is obtained through microarray and/or WES craniosynostosis panel. If parents are uncomfortable with more extensive diagnostics, MCA or ID panels may be considered.

Diagnostic Utility of Exome Sequencing Among Israeli Children With Kidney Failure

Genetic etiologies are estimated to account for a large portion of chronic kidney diseases (CKD) in children. However, data are lacking regarding the true prevalence of monogenic etiologies stemming from an unselected population screen of children with advanced CKD. We conducted a national multicenter prospective study of all Israeli pediatric dialysis units to provide comprehensive "real-world" evidence for the genetic basis of childhood kidney failure in Israel. We performed exome sequencing and assessed the genetic diagnostic yield. Between 2019 and 2022, we recruited approximately 88% (n= 79) of the children on dialysis from all 6 Israeli pediatric dialysis units. We identified genetic etiologies in 36 of 79 (45%) participants. The most common subgroup of diagnostic variants was in congenital anomalies of the kidney and urinary tract causing genes (e.g., EYA1, HNF1B, PAX2, COL4A1, and NFIA) which together explain 28% of all monogenic etiologies. This was followed by mutations in genes causing renal cystic ciliopathies (e.g., NPHP1, NPHP4, PKHD1, and BBS9), steroid-resistant nephrotic syndrome (e.g., LAGE3, NPHS1, NPHS2, LMX1B, and SMARCAL1) and tubulopathies (e.g., CTNS and AQP2). The genetic diagnostic yield was higher among Arabs compared to Jewish individuals (55% vs. 29%) and in children from consanguineous compared to nonconsanguineous families (63% vs. 29%). In 5 participants (14%) with genetic diagnoses, the molecular diagnosis did not correspond with the pre-exome diagnosis. Genetic diagnosis has a potential influence on clinical management in 27 of 36 participants (75%). Exome sequencing in an unbiased Israeli nationwide dialysis-treated kidney failure pediatric cohort resulted in a genetic diagnostic yield of 45% and can often affect clinical decision making.

Advancing Understanding of Inequities in Rare Disease Genomics

Advances in genomic research have facilitated rare disease diagnosis for thousands of individuals. Unfortunately, the benefits of advanced genetic diagnostic technology are not distributed equitably among the population, as has been seen in many other health care contexts. Quantifying and describing inequities in genetic diagnostic yield is inherently challenging due to barriers to both clinical and research genetic testing. We therefore present an implementation protocol developed to expand access to our rare disease genomic research study and to further understand existing inequities. The Rare Genomes Project (RGP) at the Broad Institute of MIT and Harvard offers research genome sequencing to individuals with rare disease who remain genetically undiagnosed through direct interaction with the individual or family. This presents an opportunity for diagnosis beyond the clinical context, thus eliminating many barriers to access. An initial goal of RGP was to equalize access to genomic sequencing by decoupling testing access from proximity to a major medical center and physician referral. However, study participants over the initial 3 years of this project were predominantly white and well resourced. To further understand and address the lack of diversity within RGP, we developed a novel protocol embedded within the larger RGP study, in an approach informed by an implementation science framework. The aims of this protocol were: (1) to diversify recruitment and enrollment within RGP; (2) understand the process and context of implementing genomic medicine for rare disease diagnosis; and (3) investigate the value of a diagnosis for underserved populations. Improved understanding of existing inequities and potential strategies to address them are needed to advance equity in rare disease genetic diagnosis and research. In addition to the moral imperative of equity in genomic medicine, this approach is critical in order to fully understand the genomic underpinnings of rare disease.

Phenotype Presentation and Molecular Diagnostic Yield in Non-5q Spinal Muscular Atrophy.

Spinal muscular atrophy (SMA) is mainly caused by homozygous SMN1 gene deletions on 5q13. Non-5q SMA patients' series are lacking, and the diagnostic yield of next-generation sequencing (NGS) is largely unknown. The aim of this study was to describe the clinical and genetic landscape of non-5q SMA and evaluate the performance of neuropathy gene panels in these disorders. Description of patients with non-5q SMA followed in the different neuromuscular reference centers in France as well as in London, United Kingdom. Patients without a genetic diagnosis had undergone at least a neuropathy or large neuromuscular gene panel. Seventy-one patients from 65 different families were included, mostly sporadic cases (60.6%). At presentation, 21 patients (29.6%) showed exclusive proximal weakness (P-SMA), 35 (49.3%) showed associated distal weakness (PD-SMA), and 15 (21.1%) a scapuloperoneal phenotype (SP-SMA). Thirty-two patients (45.1%) had a genetic diagnosis: BICD2 (n = 9), DYNC1H1 (n = 7), TRPV4 (n = 4), VCP, HSBP1, AR (n = 2), VRK1, DNAJB2, MORC2, ASAH1, HEXB, and unexpectedly, COL6A3 (n = 1). The genetic diagnostic yield was lowest in P-SMA (6/21, 28.6%) compared with PD-SMA (16/35, 45.7%) and SP-SMA (10/15, 66.7%). An earlier disease onset and a family history of the disease or consanguinity were independent predictors of a positive genetic diagnosis. Neuropathy gene panels were performed in 59 patients with a 32.2% diagnostic yield (19/59). In 13 additional patients, a genetic diagnosis was achieved through individual gene sequencing or an alternative neuromuscular NGS. Non-5q SMA is genetically heterogeneous, and neuropathy gene panels achieve a molecular diagnosis in one-third of the patients. The diagnostic yield can be increased by sequencing of other neuromuscular and neurometabolic genes. Nevertheless, there is an unmet need to cluster these patients to aid in the identification of new genes.

New insights from trio whole-exome sequencing in the children with kidney disease: A single-center retrospective cohort study.

Kidney disease of children markedly affects their health and development. Limited clinical data of early-stage kidney disease render a tremendous challenge for the accurate diagnosis. Trio whole-exome sequencing (Trio-WES) is emerging as a first-line diagnostic strategy in pediatric kidney disease, and shows important implications for the precision medicine strategies of children with kidney disease. Trio-WES was performed in 133 Chinese children with kidney disease and their parents. The results for casual variants in genes known to cause kidney disease were analyzed. We further assessed the genetic diagnostic yield and the clinical implications of genetic testing. An overall diagnostic yield of 52.63% (70/133) was found, and the diagnostic rates ranged from 44.74% to 59.62% in different clinical phenotypes. The diagnostic yield of the three groups of simple proteinuria, renal insufficiency, and "other" was 50%, 50%, and 54.55%, respectively. Eight-seven diagnostic variants were identified in 70 probands with variants spanning 30 genes. The top 7 genes with diagnostic variants were COL4A5 (23, 26.44%), COL4A4 (13, 14.94%), ADCK4 (7, 8.05%), CLCN5 (3, 3.45%), ACE (3, 3.45%), PKD1 (3, 3.45%), and SLC12A3 (3, 3.45%), accounting for 63.22% of all variations in the cohort. The retrospective cohort study summarized the clinical utility of genetic testing in 133 probands, and expanded the phenotypic and genetic profiles of kidney disease in children. Trio-WES is an efficient diagnostic tool for children with kidney disease, which facilitates the clinical diagnosis and treatment. Our findings have important implications for the precise diagnosis of childhood nephropathy and may provide clinical guideline for disease management.