Exome Sequencing and Optical Genome Mapping in Molecularly Unsolved Cases of Duchenne Muscular Dystrophy: Identification of a Causative X-Chromosomal Inversion Disrupting the DMD Gene

Unveiling non-coding DMD variants: synergising RNA sequencing and DNA sequencing for enhanced molecular diagnosis

BACKGROUND

Pathogenic variants in the DMD gene are associated with dystrophinopathy including Duchenne and Becker muscular dystrophy (DMD/BMD). Targeted DMD gene, gene panels, exomes and genome sequencing have advanced genetic diagnostics, yet some cases remain elusive.

METHODS

We performed total RNA sequencing (RNAseq) on muscle biopsy from 13 male patients with a clinical diagnosis of DMD/BMD. Splice aberration events are evaluated using the Integrative Genomics Viewers. Targeted DNA sequencing result was used/re-analysed to confirm complex rearrangement events identified.

RESULTS

RNAseq identified aberration splicing or expression events in the DMD gene of 12 cases. Splice-altering intronic single nucleotide variant events including c.7309+5G>T, c.7309+5G>A, c.3276+1G>A and c.3603+820G>T were identified in four cases. Splice-altering events were also detected in one case with small indel c.94-38_94del and two cases with intragenic deletions (exons 51-52 and 45-47 deletions). Furthermore, complex DNA rearrangements inducing aberration splicing/expression events were identified in five cases involving exons 44-45, 55-56, 2-79, 45-79 or 68-79, which were concordant with their DNA sequencing reanalysis results. Some cases with exon deletions have presented non-canonical transcripts expression. The RNAseq result showing aberrant splicing/expression in different exon regions in most of these cases corresponded with their immunohistochemical dystrophin staining results and/or clinical symptoms.

CONCLUSION

Our data demonstrated RNAseq is a powerful tool to provide functional data for DMD splice aberration events, especially when integrating with immunohistochemical testing and DNA sequencing, for elucidating the pathogenicity of DMD variants and achieving a precise genetic diagnosis in patients with DMD/BMD clinical presentation but without definitive diagnoses after routine genetic testing.

Nanofluidic Lab-On-A-Chip Systems for Biosensing in Healthcare

Biosensing plays a vital role in healthcare monitoring, disease detection, and treatment planning. In recent years, nanofluidic technology has been increasingly explored to be developed into lab-on-a-chip biosensing systems. Given now the possibility of fabricating geometrically defined nanometric channels that are commensurate with the size of many biomolecules, nanofluidic-based devices are likely to become a key technology for the analysis of various clinical biomarkers, including DNA (deoxyribonucleic acid) and proteins in liquid biopsies. This review summarizes the fundamentals and technological advances of nanofluidics from the purview of single-molecule analysis, detection of low-abundance molecules, and single-cell analysis at the subcellular level. The extreme confinement and dominant surface charge effects in nanochannels provide unique advantages to nanofluidic devices for the manipulation and transport of target biomarkers. When coupled to a microfluidic network to facilitate sample introduction, integrated micro-nanofluidic biosensing devices are proving to be more sensitive and specific in molecular analysis compared to conventional assays in many cases. Based on recent progress in nanofluidics and current clinical trends, the review concludes with a discussion of near-term challenges and future directions for the development of nanofluidic-based biosensing systems toward enabling a new wave of lab-on-a-chip technology for personalized and preventive medicine.

Optical genome mapping: Unraveling complex variations and enabling precise diagnosis in dystrophinopathy

OBJECTIVE

Approximately 7% of individuals with dystrophinopathy remain undiagnosed at the genetic level using conventional genetic tests like multiplex ligation-dependent probe amplification (MLPA) and next-generation sequencing (NGS). We used the optical genome mapping (OGM) technology to detect and analyze uncommon mutations or structural variations (SVs) within the DMD gene, thus contributing to more precise clinical diagnoses.

METHODS

We herein included eight patients with dystrophinopathy (six males and two females) in whom pathogenic variants of the DMD gene could not be accurately identified using MLPA and NGS. Clinical data were collected for all patients and genetic testing was performed using OGM.

RESULTS

Conventional methods (MLPA and NGS) failed to detect pathogenic mutations in six out of eight individuals (four males and two females). OGM testing uncovered rare mutations in the DMD gene in four patients, including a pericentric inversion in chromosome X (one male), a complex rearrangement (one male), and two X-autosome translocations (two females). No mutations were detected in the remaining two male patients. OGM also accurately mapped balanced X-autosome translocations in female patients, defining chromosomal breakpoints. In the other two male patients in whom MLPA suggested non-contiguous exon duplications or deletions in the DMD gene, OGM characterized one case as a complex rearrangement and the other as a deletion within the DMD gene.

INTERPRETATION

OGM is a valuable diagnostic tool for dystrophinopathy patients with negative results from conventional genetic tests. It can effectively elucidate complex SVs and pinpoint breakpoints in X-autosomal translocations in female patients, facilitating prompt and appropriate interventions.

Expanding the Molecular Genetic Landscape of Dystrophinopathies and Associated Phenotypes

Background/Objectives: X-linked dystrophinopathies are a group of neuromuscular diseases caused by pathogenic variants in the DMD gene (MIM *300377). Duchenne muscular dystrophy (DMD; MIM #310200) is the most common inherited muscular dystrophy. Methods: We screened datasets of 403 male, genetically confirmed X-linked dystrophinopathy patients and identified 13 pathogenic variants of the DMD gene that have not been described in the literature thus far. For all patients we provide additional data on the clinical course, genotype-phenotype correlations as well as histological datasets of nine patients. In two cases, we used RNA-Seq analyses, showing that this method can be particularly helpful in cases of deep intrinsic variants. Results: We were able to show, that a combination of the different datasets is helpful to counsel families and provides a better understanding of the underlying pathophysiology. Conclusions: Overall, we elaborated upon the persistent challenge of determining the course of disease from genetic analysis alone, rather supporting the concept of a clinical continuum of dystrophinopathies with our combined clinical, histological and molecular genetic findings.

Compound Heterozygous RYR1 Variants in a Patient with Severe Congenital Myopathy: Case Report and Comparison with Additional Cases of Recessive RYR1-Related Myopathy

Pathogenic variants in the ryanodine receptor 1 (RYR1) gene are causative for a wide spectrum of muscular phenotypes, ranging from malignant hyperthermia over mild, non-progressive to severe congenital myopathy. Both autosomal dominant and recessive inheritance can occur, with the more severe forms usually showing recessive inheritance. However, genotype-phenotype correlations are complicated due to the large size of the gene and heterogeneous phenotypes. We present a 6-year-old patient with severe congenital myopathy, carrying a heterozygous pathogenic RYR1 variant inherited from the healthy mother. Through whole genome sequencing we identified a second, deep intronic RYR1 variant that has recently been described in another patient with severe congenital myopathy and shown to affect splicing. Segregation analyses confirmed the variants to be compound heterozygous. We compared our patient's phenotype to that of the patient from the literature as well as five additional patients with compound heterozygous RYR1 variants from our center. The main overlapping features comprised congenital onset, predominant muscular hypotonia, and normal creatine kinase (CK) levels, while overall clinical expression varied substantially. Interestingly, both patients carrying the new intronic splice variant showed a very severe disease course. More widespread use of genome sequencing will open the way for better genotype-phenotype correlations.

Identifying inversions with breakpoints in the Dystrophin gene through long-read sequencing: report of two cases

BACKGROUND

Duchenne Muscular Dystrophy (DMD) is an X-linked disorder caused by mutations in the DMD gene, with large deletions being the most common type of mutation. Inversions involving the DMD gene are a less frequent cause of the disorder, largely because they often evade detection by standard diagnostic methods such as multiplex ligation probe amplification (MLPA) and whole exome sequencing (WES).

CASE PRESENTATION

Our research identified two intrachromosomal inversions involving the dystrophin gene in two unrelated families through Long-read sequencing (LRS). These variants were subsequently confirmed via Sanger sequencing. The first case involved a pericentric inversion extending from DMD intron 47 to Xq27.3. The second case featured a paracentric inversion between DMD intron 42 and Xp21.1, inherited from the mother. In both cases, simple repeat sequences (SRS) were present at the breakpoints of these inversions.

CONCLUSIONS

Our findings demonstrate that LRS is an effective tool for detecting atypical mutations. The identification of SRS at the breakpoints in DMD patients enhances our understanding of the mechanisms underlying structural variations, thereby facilitating the exploration of potential treatments.

Implementing next-generation sequencing for diagnosis and management of hereditary hearing impairment: a comprehensive review

INTRODUCTION

Sensorineural hearing impairment (SNHI), a common childhood disorder with heterogeneous genetic causes, can lead to delayed language development and psychosocial problems. Next-generation sequencing (NGS) offers high-throughput screening and high-sensitivity detection of genetic etiologies of SNHI, enabling clinicians to make informed medical decisions, provide tailored treatments, and improve prognostic outcomes.

AREAS COVERED

This review covers the diverse etiologies of HHI and the utility of different NGS modalities (targeted sequencing and whole exome/genome sequencing), and includes HHI-related studies on newborn screening, genetic counseling, prognostic prediction, and personalized treatment. Challenges such as the trade-off between cost and diagnostic yield, detection of structural variants, and exploration of the non-coding genome are also highlighted.

EXPERT OPINION

In the current landscape of NGS-based diagnostics for HHI, there are both challenges (e.g. detection of structural variants and non-coding genome variants) and opportunities (e.g. the emergence of medical artificial intelligence tools). The authors advocate the use of technological advances such as long-read sequencing for structural variant detection, multi-omics analysis for non-coding variant exploration, and medical artificial intelligence for pathogenicity assessment and outcome prediction. By integrating these innovations into clinical practice, precision medicine in the diagnosis and management of HHI can be further improved.

Optical genome mapping unveils hidden structural variants in neurodevelopmental disorders

While short-read sequencing currently dominates genetic research and diagnostics, it frequently falls short of capturing certain structural variants (SVs), which are often implicated in the etiology of neurodevelopmental disorders (NDDs). Optical genome mapping (OGM) is an innovative technique capable of capturing SVs that are undetectable or challenging-to-detect via short-read methods. This study aimed to investigate NDDs using OGM, specifically focusing on cases that remained unsolved after standard exome sequencing. OGM was performed in 47 families using ultra-high molecular weight DNA. Single-molecule maps were assembled de novo, followed by SV and copy number variant calling. We identified 7 variants of interest, of which 5 (10.6%) were classified as likely pathogenic or pathogenic, located in BCL11A, OPHN1, PHF8, SON, and NFIA. We also identified an inversion disrupting NAALADL2, a gene which previously was found to harbor complex rearrangements in two NDD cases. Variants in known NDD genes or candidate variants of interest missed by exome sequencing mainly consisted of larger insertions (> 1kbp), inversions, and deletions/duplications of a low number of exons (1-4 exons). In conclusion, in addition to improving molecular diagnosis in NDDs, this technique may also reveal novel NDD genes which may harbor complex SVs often missed by standard sequencing techniques.

How Can Proteomics Help to Elucidate the Pathophysiological Crosstalk in Muscular Dystrophy and Associated Multi-System Dysfunction?

This perspective article is concerned with the question of how proteomics, which is a core technique of systems biology that is deeply embedded in the multi-omics field of modern bioresearch, can help us better understand the molecular pathogenesis of complex diseases. As an illustrative example of a monogenetic disorder that primarily affects the neuromuscular system but is characterized by a plethora of multi-system pathophysiological alterations, the muscle-wasting disease Duchenne muscular dystrophy was examined. Recent achievements in the field of dystrophinopathy research are described with special reference to the proteome-wide complexity of neuromuscular changes and body-wide alterations/adaptations. Based on a description of the current applications of top-down versus bottom-up proteomic approaches and their technical challenges, future systems biological approaches are outlined. The envisaged holistic and integromic bioanalysis would encompass the integration of diverse omics-type studies including inter- and intra-proteomics as the core disciplines for systematic protein evaluations, with sophisticated biomolecular analyses, including physiology, molecular biology, biochemistry and histochemistry. Integrated proteomic findings promise to be instrumental in improving our detailed knowledge of pathogenic mechanisms and multi-system dysfunction, widening the available biomarker signature of dystrophinopathy for improved diagnostic/prognostic procedures, and advancing the identification of novel therapeutic targets to treat Duchenne muscular dystrophy.