Targeted Next‐Generation Sequencing can Replace Sanger Sequencing in Clinical Diagnostics

Mutation detection through exome sequencing allows simultaneous analysis of all coding sequences of genes. However, it cannot yet replace Sanger sequencing (SS) in diagnostics because of incomplete representation and coverage of exons leading to missing clinically relevant mutations. Targeted next‐generation sequencing (NGS), in which a selected fraction of genes is sequenced, may circumvent these shortcomings. We aimed to determine whether the sensitivity and specificity of targeted NGS is equal to those of SS. We constructed a targeted enrichment kit that includes 48 genes associated with hereditary cardiomyopathies. In total, 84 individuals with cardiomyopathies were sequenced using 151 bp paired‐end reads on an Illumina MiSeq sequencer. The reproducibility was tested by repeating the entire procedure for five patients. The coverage of ≥30 reads per nucleotide, our major quality criterion, was 99% and in total ～21,000 variants were identified. Confirmation with SS was performed for 168 variants (155 substitutions, 13 indels). All were confirmed, including a deletion of 18 bp and an insertion of 6 bp. The reproducibility was nearly 100%. We demonstrate that targeted NGS of a disease‐specific subset of genes is equal to the quality of SS and it can therefore be reliably implemented as a stand‐alone diagnostic test.     

Primary hyperoxaluria: Comprehensive mutation screening of the disease causing genes and spectrum of disease-associated pathogenic variants

The primary hyperoxalurias are rare disorders of glyoxylate metabolism. Accurate diagnosis is essential for therapeutic and management strategies. We conducted a molecular study on patients suffering from recurrent calcium-oxalate stones and nephrocalcinosis and screened primary hyperoxaluria causing genes in a large cohort of early-onset cases. Disease-associated pathogenic-variants were defined as missense, nonsense, frameshift-indels, and splice-site variants with a reported minor allele frequency <1% in controls. We found pathogenic-variants in 34% of the cases. Variants in the AGXT gene causing PH-I were identified in 81% of the mutation positive cases. PH-II-associated variants in the GRHPR gene are found in 15% of the pediatric PH-positive population. Only 3% of the PH-positive cases have pathogenic-variants in the HOGA1 gene, responsible to cause PH-III. A population-specific AGXT gene variant c.1049G>A; p.Gly350Asp accounts for 22% of the PH-I-positive patients. Pathogenicity of the identified variants was evaluated by in-silico tools and ACMG guidelines. We have devised a rapid and low-cost approach for the screening of PH by using targeted-NGS highlighting the importance of an accurate and cost-effective screening platform. This is the largest study in Pakistani pediatric patients from South-Asian region that also expands the mutation spectrum of the three known genes.     

panelcn.MOPS: Copy‐number detection in targeted NGS panel data for clinical diagnostics

Targeted next‐generation‐sequencing (NGS) panels have largely replaced Sanger sequencing in clinical diagnostics. They allow for the detection of copy‐number variations (CNVs) in addition to single‐nucleotide variants and small insertions/deletions. However, existing computational CNV detection methods have shortcomings regarding accuracy, quality control (QC), incidental findings, and user‐friendliness. We developed panelcn.MOPS, a novel pipeline for detecting CNVs in targeted NGS panel data. Using data from 180 samples, we compared panelcn.MOPS with five state‐of‐the‐art methods. With panelcn.MOPS leading the field, most methods achieved comparably high accuracy. panelcn.MOPS reliably detected CNVs ranging in size from part of a region of interest (ROI), to whole genes, which may comprise all ROIs investigated in a given sample. The latter is enabled by analyzing reads from all ROIs of the panel, but presenting results exclusively for user‐selected genes, thus avoiding incidental findings. Additionally, panelcn.MOPS offers QC criteria not only for samples, but also for individual ROIs within a sample, which increases the confidence in called CNVs. panelcn.MOPS is freely available both as R package and standalone software with graphical user interface that is easy to use for clinical geneticists without any programming experience. panelcn.MOPS combines high sensitivity and specificity with user‐friendliness rendering it highly suitable for routine clinical diagnostics.     

CoNVaDING: Single Exon Variation Detection in Targeted NGS Data

We have developed a tool for detecting single exon copy‐number variations (CNVs) in targeted next‐generation sequencing data: CoNVaDING (Copy Number Variation Detection In Next‐generation sequencing Gene panels). CoNVaDING includes a stringent quality control (QC) metric, that excludes or flags low‐quality exons. Since this QC shows exactly which exons can be reliably analyzed and which exons are in need of an alternative analysis method, CoNVaDING is not only useful for CNV detection in a research setting, but also in clinical diagnostics. During the validation phase, CoNVaDING detected all known CNVs in high‐quality targets in 320 samples analyzed, giving 100% sensitivity and 99.998% specificity for 308,574 exons. CoNVaDING outperforms existing tools by exhibiting a higher sensitivity and specificity and by precisely identifying low‐quality samples and regions.     

Sequence variants in muscle tissue‐related genes may determine the severity of muscle contractures in cerebral palsy

Muscle contractures are a common complication to cerebral palsy (CP). The purpose of this study was to evaluate whether individuals with CP carry specific gene variants of important structural genes that might explain the severity of muscle contractures. Next‐generation‐sequencing (NGS) of 96 candidate genes associated with muscle structure and metabolism were analyzed in 43 individuals with CP (Gross Motor Function classification system [GMFCS] I, n=10; GMFCS II, n=14; GMFCS III, n=19) and four control participants. In silico analysis of the identified variants was performed. The variants were classified into four categories ranging from likely benign (VUS0) to highly likely functional effect (VUS3). All individuals with CP were classified and grouped according to their GMFCS level: Statistical comparisons were made between GMFCS groups. Kruskal‐Wallis tests showed significantly more VUS2 variants in the genes COL4 (GMFCS I–III; 1, 1, 5, respectively [p < .04]), COL5 (GMFCS I–III; 1, 1, 5 [p < .04]), COL6 (GMFCS I–III; 0, 4, 7 [p < .003]), and COL9 (GMFCS I–III; 1, 1, 5 [p < .04]), in individuals with CP within GMFCS Level III when compared to the other GMFCS levels. Furthermore, significantly more VUS3 variants in COL6 (GMFCS I–III; 0, 5, 2 [p < .01]) and COL7 (GMFCS I–III; 0, 3, 0 [p < .04]) were identified in the GMFCS II level when compared to the other GMFCS levels. The present results highlight several candidate gene variants in different collagen types with likely functional effects in individuals with CP.     

Plasma nucleic acid analysis by massively parallel sequencing: pathological insights and diagnostic implications

Over the past 15 years there has been increasing interest in the biology and diagnostic applications of circulating DNA in the plasma of human subjects. In particular, DNA from a fetus, a tumour, a transplanted organ and injured tissues has been found in the plasma of pregnant women, cancer patients, transplant recipients and patients suffering from multiple pathologies, respectively. The advent of massively parallel sequencing has given us a quantitative and powerful tool for studying circulating DNA on a genome-wide level. Using this approach, fetal chromosomal aneuploidies can be robustly detected using maternal plasma. Furthermore, a genome-wide genetic map of a fetus can also be constructed using this approach. This method has also allowed one to identify tumour-associated chromosomal translocations, which can then be detected in plasma. The direct application of massively parallel sequencing to the serum of cancer patients has also allowed quantitative aberrations that are associated with malignancy to be detected in serum. The use of massively parallel sequencing on the plasma of transplantation recipients has opened up an approach for detecting rejection. The application of circulating DNA sequencing has also opened up a new method for elucidating the quantitative aberration of circulating DNA in many pathological conditions. Such developments would provide new modalities for molecular diagnostics and would improve our understanding of the biology of circulating nucleic acids.     

Integrating next‐generation sequencing into the diagnostic testing of inherited cancer predisposition

The clinical application of next‐generation sequencing (NGS) as a diagnostic tool has become increasingly evident. The coupling of NGS technologies with new genomic sequence enrichment methods has made the sequencing of panels of target genes technically feasible, at the same time as making such an approach cost‐effective for diagnostic applications. In this article, we discuss recent studies that have applied NGS in the diagnostic setting in relation to hereditary cancer.     

Utilization of ancillary studies in the cytologic diagnosis of respiratory lesions: The papanicolaou society of cytopathology consensus recommendations for respiratory cytology

The Papanicolaou Society of Cytopathology has developed a set of guidelines for respiratory cytology including indications for sputum examination, bronchial washings and brushings, CT‐guided FNA and endobronchial ultrasound guided fine needle aspiration (EBUS‐FNA), as well as recommendations for classification and criteria, ancillary testing and post‐cytologic diagnosis management and follow‐up. All recommendation documents are based on the expertise of committee members, an extensive literature review, and feedback from presentations at national and international conferences. The guideline documents selectively present the results of these discussions. The present document summarizes recommendations for ancillary testing of cytologic samples. Ancillary testing including microbiologic, immunocytochemical, flow cytometric, and molecular testing, including next‐generation sequencing are discussed. Diagn. Cytopathol. 2016;44:1000–1009. © 2016 Wiley Periodicals, Inc.     

Next-generation sequencing in molecular diagnosis: NUBPL mutations highlight the challenges of variant detection and interpretation

Next-generation sequencing (NGS) is transitioning from being a research tool to being used in routine genetic diagnostics, where a major challenge is distinguishing which of many sequence variants in an individual are truly pathogenic. We describe some limitations of in silico analyses of NGS data that emphasize the need for experimental confirmation. Using NGS, we recently identified an apparently homozygous missense mutation in NUBPL in a patient with mitochondrial complex I deficiency. Causality was established via lentiviral correction studies with wild-type NUBPL cDNA. NGS data, however, provided an incomplete understanding of the genetic abnormality. We show that the maternal allele carries an unbalanced inversion, while the paternal allele carries a branch-site mutation in addition to the missense mutation. We demonstrate that the branch-site mutation, which is present in approximately one of 120 control chromosomes, likely contributes to pathogenicity and may be one of the most common autosomal mutations causing mitochondrial dysfunction. Had these analyses not been performed following NGS, the original missense mutation may be incorrectly annotated as pathogenic and a potentially common pathogenic variant not detected. It is important that locus-specific databases contain accurate information on pathogenic variation. NGS data, therefore, require rigorous experimental follow-up to confirm mutation pathogenicity.     

Clinical Applications of Next‐Generation Sequencing: The 2013 Human Genome Variation Society Scientific Meeting

Next‐generation sequencing (NGS) has significantly contributed to the transformation of genomic research by providing access to the genome for analysis, by significantly decreasing the sequencing costs and increasing the throughput. The next goal is to exploit this powerful technology in the clinic, namely for diagnostics and therapeutics. The 2013 annual meeting of the Human Genome Variation Society, held in Paris, France, provided a forum to discuss possible clinical applications of NGS, the potential of some of the current NGS systems to transition to the clinic, the identification of causative mutations for rare genetic disorders through whole‐genome or targeted genome resequencing, the application of NGS for family genomics, and NGS data analysis tools.     

Autosomal recessive limb-girdle and Miyoshi muscular dystrophies in the Netherlands: The clinical and molecular spectrum of 244 patients

In this retrospective study, we conducted a clinico-genetic analysis of patients with autosomal recessive limb-girdle muscular dystrophy (LGMD) and Miyoshi muscular dystrophy (MMD). Patients were identified at the tertiary referral centre for DNA diagnosis in the Netherlands and included if they carried two mutations in CAPN3, DYSF, SGCG, SGCA, SGCB, SGCD, TRIM32, FKRP or ANO5 gene. DNA was screened by direct sequencing and multiplex ligand-dependent probe amplification (MLPA) analysis. A total of 244 patients was identified; 68 LGMDR1/LGMD2A patients with CAPN3 mutations (28%), 67 sarcoglycanopathy patients (LGMDR3-5/LGMD2C-E) (27%), 64 LGMDR12/LGMD2L and MMD3 patients with ANO5 mutations (26%), 25 LGMDR2/LGMD2B and MMD1 with DYSF mutations (10%), 21 LGMDR9/LGMD2I with FKRP mutations (9%) and one LGMDR8/LGMD2H patient with TRIM32 mutations (<1%). The estimated minimum prevalence of AR-LGMD and MMD in the Netherlands amounted to 14.4 × 10⁻⁶. Thirty-three novel mutations were identified. A wide range in age of onset (0-72 years) and loss of ambulation (5-74 years) was found. Fifteen patients (6%) initially presented with asymptomatic hyperCKemia. Cardiac abnormalities were found in 35 patients (17%). Non-invasive ventilation was started in 34 patients (14%). Both cardiac and respiratory involvement occurs across all subtypes, stressing the need for screening in all included subtypes.     

Molecular diagnostic challenges for non‐retinal developmental eye disorders in the United Kingdom

Overall, approximately one‐quarter of patients with genetic eye diseases will receive a molecular diagnosis. Patients with developmental eye disorders face a number of diagnostic challenges including phenotypic heterogeneity with significant asymmetry, coexisting ocular and systemic disease, limited understanding of human eye development and the associated genetic repertoire, and lack of access to next generation sequencing as regarded not to impact on patient outcomes/management with cost implications. Herein, we report our real world experience from a pediatric ocular genetics service over a 12 month period with 72 consecutive patients from 62 families, and that from a cohort of 322 patients undergoing whole genome sequencing (WGS) through the Genomics England 100,000 Genomes Project; encompassing microphthalmia, anophthalmia, ocular coloboma (MAC), anterior segment dysgenesis anomalies (ASDA), primary congenital glaucoma, congenital cataract, infantile nystagmus, and albinism. Overall molecular diagnostic rates reached 24.9% for those recruited to the 100,000 Genomes Project (73/293 families were solved), but up to 33.9% in the clinic setting (20/59 families). WGS was able to improve genetic diagnosis for MAC patients (15.7%), but not for ASDA (15.0%) and congenital cataracts (44.7%). Increased sample sizes and accurate human phenotype ontology (HPO) terms are required to improve diagnostic accuracy. The significant mixed complex ocular phenotypes distort these rates and lead to missed variants if the correct gene panel is not applied. Increased molecular diagnoses will help to explain the genotype–phenotype relationships of these developmental eye disorders. In turn, this will lead to improved integrated care pathways, understanding of disease, and future therapeutic development.     

Genomic hotspots but few recurrent fusion genes in breast cancer

The advent of next generation sequencing technologies has boosted the interest in exploring the role of fusion genes in the development and progression of solid tumors. In breast cancer, most of the detected gene fusions seem to be “passenger” events while the presence of recurrent and driver fusions is still under study. We performed RNA sequencing in 55 well‐characterized breast cancer samples and 10 adjacent normal breast tissues, complemented by an analysis of SNP array data. We explored the presence of fusion genes and defined their association with breast cancer subtypes, clinical‐pathologic characteristics and copy number aberrations. Overall, 370 fusions were detected across the majority of the samples. HER2+ samples had significantly more fusions than triple negative and luminal subtypes. The number of fusions was correlated with histological grade, Ki67 and tumor size. Clusters of fusion genes were observed across the genome and a significant correlation of fusions with copy number aberrations and more specifically amplifications was also revealed. Despite the large number of fusion events, only a few were recurrent, while recurrent individual genes forming fusions with different partners were also detected including the estrogen receptor 1 gene in the previously detected ESR1—CCDC170 fusion. Overall we detected novel gene fusion events while we confirmed previously reported fusions. Genomic hotspots of fusion genes, differences between subtypes and small number of recurrent fusions are the most relevant characteristics of these events in breast cancer. Further investigation is necessary to comprehend the biological significance of these fusions.     

Clinical efficacy of a next‐generation sequencing gene panel for primary immunodeficiency diagnostics

Primary immunodeficiencies (PIDs) are rare monogenic inborn errors of immunity that result in impairment of functions of the human immune system. PIDs have a broad phenotype with increased morbidity and mortality, and treatment choices are often complex. With increased accessibility of next‐generation sequencing (NGS), the rate of discovery of genetic causes for PID has increased exponentially. Identification of an underlying monogenic diagnosis provides important clinical benefits for patients with the potential to alter treatments, facilitate genetic counselling, and pre‐implantation diagnostics. We investigated a NGS PID panel of 242 genes within clinical care across a range of PID phenotypes. We also evaluated Phenomizer to predict causal genes from human phenotype ontology (HPO) terms. Twenty‐seven participants were recruited, and a total of 15 reportable variants were identified in 48% (13/27) of the participants. The panel results had implications for treatment in 37% (10/27) of participants. Phenomizer identified the genes harbouring variants from HPO terms in 33% (9/27) of participants. This study shows the clinical efficacy that genetic testing has in the care of PID. However, it also highlights some of the disadvantages of gene panels in the rapidly moving field of PID genomics and current challenges in HPO term assignment for PID.     

Targeted next‐generation sequencing and parental genotyping in sporadic Chinese Han deaf patients

The interpretation of the targeted next‐generation sequencing (NGS) results can be challenging for variants identified in the sporadic deaf patients. In this study, we performed targeted NGS of 143 deafness‐associated genes in 44 sporadic deaf patients and use parental genotyping to test whether the candidate pathogenic variants complied with recessive or de novo pattern. Of 29 recessive candidate variants with minor allele frequencies (MAFs) less than 0.005, 3 pairs of apparent compound heterozygous variants were inherited from the same parental allele, ruling out their pathogenic roles. In addition, non‐segregation of an OTOA p.Gln293Arg variant led to the discovery of a genomic microdeletion of OTOA on the opposite allele by copy number variation analysis. Overall, 13 pairs of recessive candidate variants were deemed causative in 13 patients. Of the 28 dominant candidate variants with MAFs less than 0.0005, none occurred de novo, suggesting that they were not disease causing. Our results revealed that targeted NGS in sporadic deaf patients may generate a significant false‐positive rate. Parental genotyping is a simple but effective step toward minimizing the false‐positive results. Our study also showed that de novo variants in dominant deafness genes may not be a common cause for sporadic deafness.     

Panel-based next generation sequencing as a reliable and efficient technique to detect mutations in unselected patients with retinal dystrophies

Hereditary retinal dystrophies (RD) constitute a group of blinding diseases that are characterized by clinical variability and pronounced genetic heterogeneity. The different forms of RD can be caused by mutations in >100 genes, including >1600 exons. Consequently, next generation sequencing (NGS) technologies are among the most promising approaches to identify mutations in RD. So far, NGS is not routinely used in gene diagnostics. We developed a diagnostic NGS pipeline to identify mutations in 170 genetically and clinically unselected RD patients. NGS was applied to 105 RD-associated genes. Underrepresented regions were examined by Sanger sequencing. The NGS approach was successfully established using cases with known sequence alterations. Depending on the initial clinical diagnosis, we identified likely causative mutations in 55% of retinitis pigmentosa and 80% of Bardet–Biedl or Usher syndrome cases. Seventy-one novel mutations in 40 genes were newly associated with RD. The genes USH2A, EYS, ABCA4, and RHO were more frequently affected than others. Occasionally, cases carried mutations in more than one RD-associated gene. In addition, we found possible dominant de-novo mutations in cases with sporadic RD, which implies consequences for counseling of patients and families. NGS-based mutation analyses are reliable and cost-efficient approaches in gene diagnostics of genetically heterogeneous diseases like RD.     

Economic evaluation of next-generation sequencing techniques in diagnosis of genetic disorders: A systematic review

In recent years, massively parallel sequencing or next generation sequencing (NGS) has considerably changed both the research and diagnostic fields, and rapid developments have led to the combination of NGS techniques in clinical practice, ease of analysis, and detection of genetic mutations. This article aimed at reviewing the economic evaluation studies of the NGS techniques in the diagnosis of genetic diseases. In this systematic review, scientific databases (PubMed, EMBASE, Web of Science, Cochrane, Scopus, and CEA registry) were searched from 2005 to 2022 to identify the related literature on the economic evaluation of NGS techniques in the diagnosis of genetic diseases. Full-text reviews and data extraction were all performed by two independent researchers. The quality of all the articles included in this study was evaluated using the Checklist of Quality of Health Economic Studies (QHES). Out of 20 521 screened abstracts, 36 studies met the inclusion criteria. The mean score of the QHES checklist for the studies was 0.78 (high quality). Seventeen studies were conducted based on modeling. Cost-effectiveness analysis, cost-utility analysis, and cost-minimization analysis were done in 26 studies, 13 studies, and 1 study, respectively. Based on the available evidence and findings, exome sequencing, which is one of the NGS techniques, could have the potential to be used as a cost-effective genomic test to diagnose children with suspected genetic diseases. The results of the present study support the cost-effectiveness of exome sequencing in diagnosing suspected genetic disorders. However, the use of exome sequencing as a first- or second-line diagnostic test is still controversial. Most studies have been conducted in high-income countries, and research on the cost-effectiveness of NGS methods is recommended in low- and middle-income countries.