Pathogenic Single Nucleotide Variants Research Articles

Triplication of the PCDH19 Gene as a Novel Disease Mechanism Leading to Epileptic Encephalopathy Resembling Loss-of-Function Pathogenic Variants

Background/Objectives: Developmental and epileptic encephalopathy 9 (DEE9) (MIM #300088) affects heterozygous females and males with somatic pathogenic variants, while male carriers with hemizygous PCDH19 pathogenic variants are clinically unaffected. There are hundreds of pathogenic single nucleotide variants in the PCDH19 gene reported in the literature, which lead to the loss of function of the PCDH19 protein. To date, no phenotypes associated with overexpression or copy number gains have been described in this gene. Methods and results: We present a female patient with a de novo triplication in the Xq21.3–q22.1 chromosomal region, which includes the PCDH19 gene, which implies an unbalanced dose gain. This patient displayed a phenotype of epileptic encephalopathy compatible with DEE9. By comparison, another male patient with a similar duplication showed mild developmental delay and autism but never developed epilepsy. Conclusions: Here, we propose the dose gain of PCDH19 as a new pathogenic mechanism that results in a phenotype similar to that found in patients with loss-of-function variants in PCDH19, when present in a heterozygous state.

Combining optical genome mapping and RNA-seq for structural variants detection and interpretation in unsolved neurodevelopmental disorders

BackgroundStructural variations (SVs) are key genetic contributors to neurodevelopmental disorders (NDDs). Exome sequencing (ES), the current first-line tool for genetic testing of NDDs, falls short in SVs detection. This diagnostic gap is being actively addressed by new methods such as optical genome mapping (OGM).MethodsThis study evaluated the utility of combining OGM and RNA-seq in the detection and interpretation of SVs in ES-negative NDDs. OGM was performed in 43 patients with NDDs with inconclusive ES results. Candidate SVs were selected based on disease association and pathogenicity evaluation, and further validated or reconstructed by alternative methods, including long-read sequencing for a complex rearrangement event. RNA-Seq was performed on blood samples from patients with candidate SVs to facilitate interpretation of pathogenicity.ResultsOGM detected four candidate SVs, and RNA-seq confirmed the pathogenicity of three SVs in the patient cohort. This combined approach solved three cases—two cases with de novo SVs in genes associated with autosomal dominant NDDs, including a deletion encompassing the promoter and 5′UTR of MBD5 and an intragenic duplication of PAFAH1B1, and a third case possessing an intragenic duplication in trans with a pathogenic single-nucleotide variant of PLA2G6, associated with autosomal recessive NDDs. The expression alteration of the affected genes and the tandem positioning of two intragenic duplications were confirmed by RNA-seq. In the fourth case, OGM detected a complex rearrangement involving chromosomes 2 and 6, much more complex than the de novo t(2:6)(q13;q15) indicated by conventional cytogenetic analysis. Reconstruction showed that 17 segments of 6q15 spanning 9.3 Mb were disarranged and joined 2q11.2, with four breakpoints detected in the 5′ and 3′ non-coding region of the NDD-associated gene SYNCRIP. RNA-seq revealed largely preserved SYNCRIP expression, leaving the pathogenicity of this complex rearrangement event uncertain.ConclusionsSVs in ES-negative NDDs can be identified by OGM, which is particularly useful for SVs in non-coding regions not covered by ES. OGM helps to construct complex SVs and provides information on the location and orientation of duplications, which is crucial for pathogenicity interpretation. The integration of RNA-seq facilitates the interpretation of the functional consequences of SVs at the transcriptional level. These findings demonstrate the utility and feasibility of combining OGM and RNA-seq in ES-negative cases with NDDs.

Expanding the Spectrum of Endocrine Abnormalities Associated with SOX11-related Disorders.

SOX11 variants cause Coffin-Siris Syndrome (CSS), characterized by developmental delay, hypogonadotropic hypogonadism (HH), skeletal and facial defects. To examine the contribution of SOX11 variants to the pathogenesis of Idiopathic Hypogonadotropic Hypogonadism (IHH), a disorder caused by hypothalamic GnRH deficiency. The Reproductive Endocrine Unit and the Pediatric Endocrinology Division, Massachusetts General Hospital. A cohort of 1810 unrelated IHH probands. Exome sequencing data from the entire cohort were examined for SOX11 rare single nucleotide variants (SNVs) [minor allele frequency in the gnomAD database <0.1%]. Rare SOX11 variant association testing was performed between the IHH and gnomAD population. Phenotyping of individuals harboring pathogenic/likely pathogenic SNVs (determined by the ACMG criteria) was performed. Four pathogenic SOX11 SNVs were identified in 5 IHH probands. The IHH cohort was enriched for SOX11 protein truncating SNVs (frameshift/nonsense) across the entire protein (2 SNVs in 3 IHH cases [p.S303X (de-novo); p.S345Afs*13]; p 0.0004981) and for SOX11 missense SNVs within the SOX11-high-mobility group (HMG) domain (2 SNVs in 2 IHH cases p.G84D[de-novo]; p.P114S; p=0.00313922). The phenotypic spectrum of SOX11 variant carriers revealed additional endocrine defects including anosmic and normosmic forms of IHH, growth-hormone deficiency, pituitary and hypothalamic structural defects, and hypothyroidism. A pathogenic SOX11 SNV was also identified in a patient with functional HH (FHH, p.R100Q). CSS-associated features were present in 4/5 probands. Deleterious SOX11 variants cause IHH and other pituitary hormone deficiencies, suggesting that the human SOX11-associated disorder may stem from both hypothalamic and pituitary level defects.

Comprehensive Approach for the Genetic Diagnosis of Patients with Waardenburg Syndrome.

Waardenburg syndrome (WS) is a common genetic cause of syndromic hearing loss, accounting for 2-5% of congenital cases. It is characterized by hearing impairment and pigmentation abnormalities in the skin, hair, and eyes. Seven genes are associated with WS: PAX3, MITF, EDNRB, EDN3, SOX10, KITLG, and SNAI2. This study investigates the genetic causes of WS in three familial cases. Whole-exome sequencing (WES) was performed to identify single nucleotide variants (SNVs). Copy number variants (CNVs) were analyzed from the WES raw data and through multiplex ligation-dependent probe amplification (MLPA). The study identified one pathogenic SNV and two novel CNVs, corresponding to type I and type II WS patterns in the three families. The SNV, a nonsense variant (c.1198C>T p.Arg400*), was found in MITF and segregated in the affected father. The two CNVs were a deletion of exon 5 in PAX3 in a family with two affected members and a large novel deletion comprising seven genes, including SOX10, in a family with three affected members. These findings confirmed a WS diagnosis through genetic testing. The study emphasizes the importance of integrating multiple genetic testing approaches for accurate and reliable diagnosis, highlighting their role in improving patient management and providing tailored genetic counseling.

Shared germline genomic variants in two patients with double primary gastrointestinal stromal tumours (GISTs)

BackgroundGastrointestinal stromal tumours (GISTs) are prevalent mesenchymal tumours of the gastrointestinal tract, commonly exhibiting structural variations in KIT and PDGFRA genes. While the mutational profiling of somatic tumours is well...

Genome sequencing reveals novel causative structural and single nucleotide variants in Pakistani families with congenital hypogonadotropic hypogonadism

Background/ObjectivesThis study aims to elucidate the genetic causes of congenital hypogonadotropic hypogonadism (CHH), a rare genetic disorder resulting in GnRH deficiency, in six families from Pakistan.MethodsEighteen DNA samples from six families underwent genome sequencing followed by standard evaluation for pathogenic single nucleotide variants (SNVs) and small indels. All families were subsequently analyzed for pathogenic copy number variants (CNVs) using CoverageMaster.ResultsNovel pathogenic homozygous SNVs in known CHH genes were identified in four families: two families with variants in GNRHR, and two others harboring KISS1R variants. Subsequent investigation of CNVs in the remaining two families identified novel unique large deletions in ANOS1.ConclusionA combined, systematic analysis of single nucleotide and CNVs helps to improve the diagnostic yield for variants in patients with CHH.

HGG-06. MOLECULAR PATTERNS OF PEDIATRIC HIGH-GRADE GLIOMAS IN SOUTHEAST ASIA

Abstract BACKGROUND Molecular characteristics of pediatric high-grade gliomas are largely based on cohorts derived from North America and Europe. In this study, we compare the molecular findings of a Southeast Asian cohort of pediatric high-grade gliomas with published data. METHODS We collated clinical, histopathological, and molecular data from pediatric high-grade gliomas diagnosed in our laboratory over the past 5 years. Molecular testing methods used included Illumina’s Childhood Cancer Panel (26 cases), FoundationOne’s CDx panel (2 cases), and Archer FUSIONPlex Pan Solid Tumour v2 panel (2 cases). 7 cases had no molecular data. 11 cases underwent additional DNA methylation analysis using Illumina’s Infinium MethylationEPIC v1.0 kit. RESULTS 37 cases of pediatric high-grade gliomas from 34 patients were identified. Patient age ranged from 2 to 26 years (median 14 years). The male-female ratio was 1.1:1. Diffuse midline gliomas, H3K27-altered (DMG, H3K27-altered) constituted 51% of the cases (19/37), followed by diffuse pediatric-type high-grade gliomas, H3-wildtype and IDH-wildtype (32%; 12/37) and diffuse hemispheric gliomas H3G34-mutant (16%; 6/37). The commonest genes with pathogenic single nucleotide variants were TP53 (79%;22/28), followed by H3F3A (54%;15/28). The commonest amplified genes were MYCN and EGFR (both 4/28; 14%). Three gene fusions were detected, none of which arose from infants – 2 were found in diffuse pediatric-type high-grade gliomas, H3-wildtype and IDH-wildtype (CSTF3::ALK and PRCC::NTRK1 fusions), and one occurred in a DMG, H3K27-altered (ERC1::RET fusion). The most common methylation groups identified were DMG, H3K27-altered and diffuse pediatric-type high-grade glioma, H3-wildtype and IDH-wildtype, MYCN subtype (both 3/11; 27%). CONCLUSIONS Although small, our Southeast Asian cohort comprised a higher percentage of TP53-mutant high-grade gliomas amongst all pediatric high-grade gliomas as a group. The commonest amplified genes were MYCN and EGFR. We detected gene fusions in non-infant gliomas. These findings suggest geographical differences in the biology of pediatric high-grade gliomas.

Exome sequencing in fetuses with congenital diaphragmatic hernia in a nationwide cohort.

To evaluate the diagnostic yield of exome sequencing (ES) in fetuses and neonates with prenatally detected congenital diaphragmatic hernia (CDH) and normal copy number variant (CNV) analysis. We conducted a retrospective cohort study of prenatally diagnosed CDH cases seen between 2019 and 2022. All cases who underwent prenatal or postnatal genetic testing were reviewed. The results from the ES analysis that identified pathogenic or likely pathogenic single nucleotide variants are described. In total, 133 fetuses with CDH were seen, of whom 98 (74%) had an isolated CDH and 35 (26%) had a complex CDH (associated structural anomalies) on prenatal examination. ES was performed in 68 cases, and eight pathogenic or likely pathogenic variants were found, accounting for a 12% diagnostic yield (10% [5/50] in isolated cases and 17% [3/18] in complex CDH). In 12% of fetuses and neonates with CDH and normal CNV analysis results, pathogenic or likely pathogenic variants were identified with ES. These data indicate that there is a substantial diagnostic yield when offering ES in prenatally detected CDH, both in complex and isolated cases.

The pan-cancer landscape of SMARCA4 and SMARCB1 alterations in a large cohort of Chinese patients.

e14636 Background: Alterations of SMARCA4 or SMARCB1 (SMARCA4/B1) proteins have been identified in various aggressive cancers. Recent studies show that tumors harboring deleterious SMARCA4/B1 alterations express PD-L1 and respond to immune checkpoint inhibitor (ICI) therapies. Current ongoing immunotherapy-based clinical trials for cancers deficient in SMARCA4/B1 include combinations of atezolizumab and the TIGIT antibody tiragolumab (Phase II), as well as nivolumab and the CTLA-4 antibody ipilimumab (Phases II &amp; III). Here we present a comprehensive analysis of the pan-cancer landscape of SMARCA4/B1 alterations, based on real-world data from a large cohort of Chinese patients. Methods: From 2021 to 2023, we collected genomic information from 16,113 cancer patients, spanning more than 40 different cancer types. These patients had undergone targeted next-generation sequencing (NGS) through the Med1CDx panel, which targets 601 cancer-associated genes. After excluding 1,034 samples of unidentified tumor origins, 15,079 samples were analyzed further. The analysis included somatic and germline pathogenic/likely pathogenic (P/LP) single-nucleotide variants, insertions/deletions, and copy number alteration in SMARCA4/B1. Results: We identified 421/15079 (2.8%) patients with SMARCA4/B1 alterations, with a median age of 63 years (range 13-90). Cancer types with a higher frequency of SMARCA4/CB1 mutations include: endometrial cancer (9.8%), thyroid cancer (6.9%), gastric cancer (6.2%), cholangiocarcinoma (5.7%), and lung cancer (4.4%). The predominant mutation type is variants of uncertain significance (VUS) gene mutations, constituting 72% (302/421) of the spectrum, with nearly all being missense mutations. These are mainly observed in lung cancer, thyroid cancer, and colorectal cancer. The frequency of pathogenic/likely pathogenic mutations is 28% (119/421), mainly distributed in lung cancer and liver cancer. Q201L, P222L, and E1364del are the most common mutations in SMARCA4, with a mutation rate of approximately 4.1%, occurring across over five cancer types. The most common co-mutations of SMARCA4/B1 were TP53 (47.3%), EGFR (25.4%), KRAS (15.9%), STK11 (7.1%) and CDKN2A (7.4%). Clinicopathological feature of age showed no significant differences between SMARCA4/B1 mutant and wild-type groups. Tissues with SMARCA4/B1 mutations exhibited a higher tumor mutational burden (TMB) (median=8.3) than wild-type tissues (median=4.2) (P &lt; 0.001). Conclusions: Elevated TMB levels in patients with SMARCA4/B1 mutations suggest a significant potential benefit from immunotherapy. The presence of co-mutations may also aid in predicting the efficacy of combination immunotherapy treatments. Furthermore, the high prevalence of VUS emphasizes the need for additional research to determine their clinical relevance.

A machine learning algorithm based on multi-omics biomarkers for the detection of tumor microsatellite instability.

1554 Background: Microsatellite instability (MSI) occurs via defects in mismatch repair (MMR) and is characterized by high tumor mutational burden (TMB) and a robust inflammatory response. Accurate MSI-high classification of immune-evasive tumors is vital due to the effectiveness of immune checkpoint inhibitor (ICI) therapy, such as pembrolizumab, which is FDA approved for all MSI-high tumors irrespective of anatomic origin. Detection methods of MSI-status vary widely, including immunohistochemistry (IHC), polymerase chain reaction (PCR), and next-generation sequencing (NGS). We developed a machine learning (ML) model to predict MSI status in patients with solid tumors using comprehensive genomic and immune profiling (CGIP), independent of direct sequencing data from microsatellite sites. Methods: We analyzed samples from 1,838 patients with colorectal cancer (CRC) by CGIP, which included DNA panel testing (523 genes) for pathogenic single nucleotide variants (pSNV) and determination of TMB (mut/Mb), and RNA sequencing (397 genes) for gene expression (GEX). The Boruta algorithm was used to select key genomic and GEX changes associated with MSI status. A distributed gradient boosting algorithm created a predictive model that was trained on 70% of the cohort. The model was tested on the remaining CRC cohort (Test), and in the PanCancer Atlas CRCs (TCGA), endometrial adenocarcinomas (EMCA), and CRC with indeterminate MSI testing by CGIP. Performance of the trained model was assessed using sensitivity, specificity, and positive (PPV) and negative (NPV) predictive value. Results: Feature selection identified 79 genes with pSNVs, 63 GEX changes, and TMB as informative for MSI prediction. The model showed high predictive accuracy in differentiating MSI-H tumors. Of the 39 cases that failed MSI component of CGIP (Indeterminate), 17 had MMR IHC results available, of which 1 demonstrated loss of MLH1/PMS2 and the other 16 showed intact (normal) expression. Testing of this cohort identified 3 cases as MSI-high, at least one of which was confirmed by IHC. No cases with intact MMR protein IHC were identified as MSI-high by the algorithm. Conclusions: Our ML-driven approach accurately assessed MSI status of CRC and EMCA using CGIP data. This approach also identified potential cases with MSI-high status where direct sequencing of microsatellites failed. This study highlights a method to identify patients with potential MSI-high status for orthogonal screening with the MSI component of a test fails. [Table: see text]

Allele-Specific Suppression of Variant MHC With High-Precision RNA Nuclease CRISPR-Cas13d Prevents Hypertrophic Cardiomyopathy.

Familial hypertrophic cardiomyopathy has severe clinical complications of heart failure, arrhythmia, and sudden cardiac death. Heterozygous single nucleotide variants (SNVs) of sarcomere genes such as MYH7 are the leading cause of this type of disease. CRISPR-Cas13 (clustered regularly interspaced short palindromic repeats and their associated protein 13) is an emerging gene therapy approach for treating genetic disorders, but its therapeutic potential in genetic cardiomyopathy remains unexplored. We developed a sensitive allelic point mutation reporter system to screen the mutagenic variants of Cas13d. On the basis of Cas13d homology structure, we rationally designed a series of Cas13d variants and obtained a high-precision Cas13d variant (hpCas13d) that specifically cleaves the MYH7 variant RNAs containing 1 allelic SNV. We validated the high precision and low collateral cleavage activity of hpCas13d through various in vitro assays. We generated 2 HCM mouse models bearing distinct MYH7 SNVs and used adenovirus-associated virus serotype 9 to deliver hpCas13d specifically to the cardiomyocytes. We performed a large-scale library screening to assess the potency of hpCas13d in resolving 45 human MYH7 allelic pathogenic SNVs. Wild-type Cas13d cannot distinguish and specifically cleave the heterozygous MYH7 allele with SNV. hpCas13d, with 3 amino acid substitutions, had minimized collateral RNase activity and was able to resolve various human MYH7 pathological sequence variations that cause hypertrophic cardiomyopathy. In vivo application of hpCas13d to 2 hypertrophic cardiomyopathy models caused by distinct human MYH7 analogous sequence variations specifically suppressed the altered allele and prevented cardiac hypertrophy. Our study unveils the great potential of CRISPR-Cas nucleases with high precision in treating inheritable cardiomyopathy and opens a new avenue for therapeutic management of inherited cardiac diseases.

Machine learning-enhanced noninvasive prenatal testing of monogenic disorders.

Single-nucleotide variants (SNVs) are of great significance in prenatal diagnosis as they are the leading cause of inherited single-gene disorders (SGDs). Identifying SNVs in a non-invasive prenatal screening (NIPS) scenario is particularly challenging for maternally inherited SNVs. We present an improved method to predict inherited SNVs from maternal or paternal origin in a genome-wide manner. We performed SNV-NIPS based on the combination of fragments of cell free DNA (cfDNA) features, Bayesian inference and a machine-learning (ML) prediction refinement step using random forest (RF) classifiers trained on millions of non-pathogenic variants. We next evaluate the real-world performance of our refined method in a clinical setting by testing our models on 16 families with singleton pregnancies and varying fetal fraction (FF) levels, and validate the results over millions of inherited variants in each fetus. The average area under the ROC curve (AUC) values are 0.996 over all families for paternally inherited variants, 0.81 for the challenging maternally inherited variants, 0.86 for homozygous biallelic variants and 0.95 for compound heterozygous variants. Discriminative AUCs were achieved even in families with a low FF. We further investigate the performance of our method in correctly predicting SNVs in coding regions of clinically relevant genes and demonstrate significantly improved AUCs in these regions. Finally, we focus on the pathogenic variants in our cohort and show that our method correctly predicts if the fetus is unaffected or affected in all (10/10, 100%) of the families containing a pathogenic SNV. Overall, we demonstrate our ability to perform genome-wide NIPS for maternal and homozygous biallelic variants and showcase the utility of our method in a clinical setting.

In-Silico Method for Predicting Pathogenic Missense Variants Using Online Tools: AURKA Gene as a Model.

In-silico analysis provides a fast, simple, and cost-free method for identifying potentially pathogenic single nucleotide variants. To propose a simple and relatively fast method for the prediction of variant pathogenicity using free online in-silico (IS) tools with AURKA gene as a model. We aim to propose a methodology to predict variants with high pathogenic potential using computational analysis, using AURKA gene as model. We predicted a protein model and analyzed 209 out of 64,369 AURKA variants obtained from Ensembl database. We used bioinformatic tools to predict pathogenicity. The results were compared through the VarSome website, which includes its own pathogenicity score and the American College of Medical Genetics (ACMG) classification. Out of the 209 analyzed variants, 16 were considered pathogenic, and 13 were located in the catalytic domain. The most frequent protein changes were size and hydrophobicity modifications of amino acids. Proline and Glycine amino acid substitutions were the most frequent changes predicted as pathogenic. These bioinformatic tools predicted functional changes, such as protein up or down-regulation, gain or loss of molecule interactions, and structural protein modifications. When compared to the ACMG classification, 10 out of 16 variants were considered likely pathogenic, with 7 out of 10 changes at Proline/Glycine substitutions. This method allows quick and cost-free bulk variant screening to identify variants with pathogenic potential for further association and/or functional studies.

Abstract 2862: Evolution of clinically relevant variants in advanced pediatric sarcomas

Abstract Objective Few pediatric sarcoma studies have investigated how gene alterations detected by targeted sequencing change in the same patient over time. We leveraged targeted somatic DNA next-generation sequencing (NGS) data from a large cohort of young patients with osteosarcoma (OS), Ewing sarcoma (EWS), or rhabdomyosarcoma (RMS) to identify changes in known oncogenic variants with the aim of addressing the clinical utility of resequencing at recurrence. Methods The iCat2/GAIN Consortium Study is a cohort study involving 13 US institutions evaluating outcomes after receipt of matched targeted therapy (MTT) in young patients with advanced extra-cranial solid tumors. Tumors are sequenced using OncoPanel, a targeted DNA NGS test performed in a CLIA/CAP certified laboratory assessing single nucleotide variants (SNV), copy number variants (CNV) and structural variants (SV) in up to 447 cancer genes and rearrangements in up to 60 cancer genes. In 2 cases, similar targeted NGS tests were performed. For OS, EWS, or RMS patients with at least 2 OncoPanels from different timepoints (initial diagnosis or relapse) and/or tumor sites (metastatic or primary), we assessed oncogenic variants in genes previously known to be recurrently altered in the respective diagnosis. For each variant, we assigned patterns of change as emergence, disappearance, or persistence. Results Of 784 iCat2/GAIN patients, there were 157, 107, and 100 patients with OS, EWS, and RMS respectively. The analytic cohort consisted of 34, 20, and 15 OS, EWS, and RMS patients respectively with at least 2 tumor sequenced samples. The median number of sequenced samples per patient was 2 (range 2 to 6). In EWS, 9 (45%) patients had an oncogenic variant (other than an expected fusion) in at least one sample. In 4 patients, the predominant pattern of change was emergence. Specifically, a new pathogenic SNV in STAG2 (N=1) or TP53 (N=3) were observed. In OS, all 34 patients had an oncogenic variant in at least one sample. In RMS, 12 (80%) patients had an oncogenic variant in at least one sample. There was no predominant pattern of change in OS and RMS. In OS, 41% percent of variants persisted in all samples; 32% of variants disappeared in subsequent samples; 22% of variants emerged in subsequent samples; 5% of variants were variably present over time. Interestingly, while TP53 was most often persistent over time, there were also 7 cases with emergence of TP53 variants and 8 cases with disappearance of TP53 variants. In RMS, 26% percent of variants persisted in all samples; 31% of variants disappeared in subsequent samples; 43% of variants emerged in subsequent samples. Interestingly, in three cases there was emergence of a new variant activating the RAF/MAPK or AKT pathway. Conclusion Pediatric sarcomas display a range of genomic changes over time. Given the observed changes in oncogenic alterations, there may be utility to repeat sequencing of relapsed tumor biopsies to understand these changes. Citation Format: Hannah Y. Comeau, Lorena Lazo De La Vega, Alanna J. Church, Luke D. Maese, Navin Pinto, Margaret E. Macy, Mark A. Applebaum, Amit J. Sabnis, AeRang Kim, Susan I. Colace, Filemon Dela Cruz, Steven G. DuBois, Natalie B. Collins, Katherine A. Janeway. Evolution of clinically relevant variants in advanced pediatric sarcomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2862.

Optimized allele-specific silencing of the dominant-negative COL6A1 G293R substitution causing collagen VI-related dystrophy

Collagen VI-related dystrophies (COL6-RDs) are a group of severe, congenital-onset muscular dystrophies for which there is no effective causative treatment. Dominant-negative mutations are common in COL6A1, COL6A2, and COL6A3 genes, encoding the collagen α1, α2, and α3 (VI) chains. They act by incorporating into the hierarchical assembly of the three α (VI) chains and consequently produce a dysfunctional collagen VI extracellular matrix, while haploinsufficiency for any of the COL6 genes is not associated with disease. Hence, allele-specific transcript inactivation is a valid therapeutic strategy, although selectively targeting a pathogenic single nucleotide variant is challenging. Here, we develop a small interfering RNA (siRNA) that robustly, and in an allele-specific manner, silences a common glycine substitution (G293R) caused by a single nucleotide change in COL6A1 gene. By intentionally introducing an additional mismatch into the siRNA design, we achieved enhanced specificity toward the mutant allele. Treatment of patient-derived fibroblasts effectively reduced the levels of mutant transcripts while maintaining unaltered wild-type transcript levels, rescuing the secretion and assembly of collagen VI matrix by reducing the dominant-negative effect of mutant chains. Our findings establish a promising treatment approach for patients with the recurrent dominantly negative acting G293R glycine substitution.

Prenatal Genome-Wide Sequencing analysis (Exome or Genome) in detecting pathogenic Single Nucleotide Variants in fetal Central Nervous System Anomalies: systematic review and meta-analysis.

Prenatal Exome (pES) or Genome (pGS) Sequencing analysis showed a significant incremental diagnostic yield over karyotype and chromosomal microarray analysis (CMA) in fetal structural anomalies. Optimized indications and detection rates in different fetal anomalies are still under investigation. The aim of this study was to assess the incremental diagnostic yield in prenatally diagnosed Central Nervous System (CNS) anomalies. A systematic review on antenatal CNS anomalies was performed according to PRISMA guidelines, including n = 12 paper, accounting for 428 fetuses. Results were pooled in a meta-analysis fitting a logistic random mixed-effect model. The effect of interest was the incremental diagnostic rate of pES over karyotype/CMA in detecting likely pathogenic/pathogenic Single Nucleotide Variants (SNVs). A further meta-analysis adding the available pGS studies (including diagnostic coding SNVs only) and submeta-analysis on three CNS subcategories were also performed. The pooled incremental diagnostic yield estimate of pES studies was 38% (95% C.I.: [29%;47%]) and 36% (95% C.I.: [28%;45%]) when including diagnostic SNVs of pGS studies. The point estimate of the effect resulted 22% (95% C.I.: [15%;31%]) in apparently isolated anomalies, 33% (95% C.I.: [22%;46%]) in CNS-only related anomalies (≥1) and 46% (95% C.I.: [38%;55%]) in non-isolated anomalies (either ≥ 2 anomalies in CNS, or CNS and extra-CNS). Meta-analysis showed a substantial diagnostic improvement in performing Prenatal Genome-Wide Sequencing analysis (Exome or Genome) over karyotype and CMA in CNS anomalies.

Comprehensive phenotypes of patients with SYNGAP1-related disorder reveals high rates of epilepsy and autism.

To delineate the comprehensive phenotypic spectrum of SYNGAP1-related disorder in a large patient cohort aggregated through a digital registry. We obtained de-identified patient data from an online registry. Data were extracted from uploaded medical records. We reclassified all SYNGAP1 variants using American College of Medical Genetics criteria and included patients with pathogenic/likely pathogenic (P/LP) single nucleotide variants or microdeletions incorporating SYNGAP1. We analyzed neurodevelopmental phenotypes, including epilepsy, intellectual disability (ID), autism spectrum disorder (ASD), behavioral disorders, and gait dysfunction for all patients with respect to variant type and location within the SynGAP1 protein. We identified 147 patients (50% male, median age 8 years) with P/LP SYNGAP1 variants from 151 individuals with data available through the database. One hundred nine were truncating variants and 22 were missense. All patients were diagnosed with global developmental delay (GDD) and/or ID, and 123 patients (84%) were diagnosed with epilepsy. Of those with epilepsy, 73% of patients had GDD diagnosed before epilepsy was diagnosed. Other prominent features included autistic traits (n = 100, 68%), behavioral problems (n = 100, 68%), sleep problems (n = 90, 61%), anxiety (n = 35, 24%), ataxia or abnormal gait (n = 69, 47%), sensory problems (n = 32, 22%), and feeding difficulties (n = 69, 47%). Behavioral problems were more likely in those patients diagnosed with anxiety (odds ratio [OR] 3.6, p = .014) and sleep problems (OR 2.41, p = .015) but not necessarily those with autistic traits. Patients with variants in exons 1-4 were more likely to have the ability to speak in phrases vs those with variants in exons 5-19, and epilepsy occurred less frequently in patients with variants in the SH3 binding motif. We demonstrate that the data obtained from a digital registry recapitulate earlier but smaller studies of SYNGAP1-related disorder and add additional genotype-phenotype relationships, validating the use of the digital registry. Access to data through digital registries broadens the possibilities for efficient data collection in rare diseases.

DNA and RNA base editors can correct the majority of pathogenic single nucleotide variants

The majority of human genetic diseases are caused by single nucleotide variants (SNVs) in the genome sequence. Excitingly, new genomic techniques known as base editing have opened efficient pathways to correct erroneous nucleotides. Due to reliance on deaminases, which have the capability to convert A to I(G) and C to U, the direct applicability of base editing might seem constrained in terms of the range of mutations that can be reverted. In this evaluation, we assess the potential of DNA and RNA base editing methods for treating human genetic diseases. Our findings indicate that 62% of pathogenic SNVs found within genes can be amended by base editing; 30% are G>A and T>C SNVs that can be corrected by DNA base editing, and most of them by RNA base editing as well, and 29% are C>T and A>G SNVs that can be corrected by DNA base editing directed to the complementary strand. For each, we also present several factors that affect applicability such as bystander and off-target occurrences. For cases where editing the mismatched nucleotide is not feasible, we introduce an approach that calculates the optimal substitution of the deleterious amino acid with a new amino acid, further expanding the scope of applicability. As personalized therapy is rapidly advancing, our demonstration that most SNVs can be treated by base editing is of high importance. The data provided will serve as a comprehensive resource for those seeking to design therapeutic base editors and study their potential in curing genetic diseases.

Cross-Species Comparison of the Pan-RAF Inhibitor LY3009120's Anti-Tumor Effects in Equine, Canine, and Human Malignant Melanoma Cell Lines.

Malignant melanomas (MMs) are the abnormal proliferation of melanocytes and are one of the lethal skin cancers in humans, equines, and canines. Accordingly, MMs in companion animals can serve as naturally occurring animal models, completing conventional cancer models. The common constitutive activation of the MAPK and PI3K pathways in MMs has been described in all three species. Targeting the related pathways is considered a potential option in comparative oncologic approaches. Herein, we present a cross-species comparative analysis exposing a set of ten melanoma cell lines (one human, three equine, and six canine) derived from primary tumors or metastasis to a pan-RAF and RAF dimer inhibitor (LY3009120). Cellular response (proliferation, biomass, metabolism, early and late apoptosis/necrosis, and morphology) and the presence of pathogenic single-nucleotide variants (SNVs) within the mutational hotspot genes BRAF exon 11 and 15, NRAS exon 2 and 3, KRAS exon 2, and KIT exon 11 were analyzed. This study showed that equine malignant melanoma (EMM) cells (MelDuWi) harbor the KRAS p.Q61H mutation, while canine malignant melanoma (CMM) cells (cRGO1 and cRGO1.2) carry NRAS p.G13R. Except for EMM metastasis cells eRGO6 (wild type of the above-mentioned hotspot genes), all melanoma cell lines exhibited a decrease in dose dependence after 48 and 72 h of exposure to LY3009120, independent of the mutation hotspot landscape. Furthermore, LY3009120 caused significant early apoptosis and late apoptosis/necrosis in all melanoma cell lines except for eRGO6. The anti-tumor effects of LY3009120 were observed in nine melanoma cell lines, indicating the potential feasibility of experimental trials with LY3009120. The present study reveals that the irradiation-resistant canine metastasis cells (cRGO1.2) harboring the NRAS p.G13R mutation are significantly LY3009120-sensitive, while the equine metastases-derived eRGO6 cells show significant resistance to LY3009120, which make them both valuable tools for studying resistance mechanisms in comparative oncology.

Next Generation Sequencing Analysis of Fibrin-associated Large B-cell Lymphoma Reveals Pathogenic Single Nucleotide Variants.

Fibrin-associated large B-cell lymphoma (FA-LBCL) is a newly identified subtype of Epstein-Barr virus (EBV)-associated lymphoma. Arising within fibrinous material in confined spaces, FA-LBCL is associated with chronic inflammation. We herein report histopathologic features and molecular alterations of three cases of FA-LBCL to refine this new disease entity. We performed immunohistochemical staining for CD3, CD20, CD10, Bcl-2, Bcl-6, MUM-1, CD10, and c-Myc and in situ hybridization for EBV-encoded RNA. Additionally, targeted DNA sequencing was conducted using commercially available gene panels. Three cases of FA-LBCL developed underlying lesions of retroperitoneal cyst, cardiac myxoma, and pancreatic cyst. Histopathologic features of these lesions were characterized by aggregates of atypical large cells in a background of fibrinous cellular debris. Atypical lymphoid cells were positive for CD20, Bcl-2, MUM-1, and EBV-in situ hybridization, negative for CD10, and variably positive for Bcl-6 and c-Myc. NGS analysis revealed the presence of pathogenic mutations in BRIP1, SOCS1, and KRAS. This is the first report of NGS analysis in FA-LBCL cases. It provides precise clinicopathological and molecular traits and allows its recognition as a new entity.