Single,short in‐del,and copy number variations detection in monogenic dyslipidemia using a next‐generation sequencing strategy

Optimal molecular diagnosis of primary dyslipidemia is challenging to confirm the diagnosis, test and identify at risk relatives. The aim of this study was to test the application of a single targeted next‐generation sequencing (NGS) panel for hypercholesterolemia, hypocholesterolemia, and hypertriglyceridemia molecular diagnosis. NGS workflow based on a custom AmpliSeq panel was designed for sequencing the most prevalent dyslipidemia‐causing genes (ANGPTL3, APOA5, APOC2, APOB, GPIHBP1, LDLR, LMF1, LPL, PCSK9) on the Ion PGM Sequencer. One hundred and forty patients without molecular diagnosis were studied. In silico analyses were performed using the NextGENe software and homemade tools for detection of copy number variations (CNV). All mutations were confirmed using appropriate tools. Eighty seven variations and 4 CNV were identified, allowing a molecular diagnosis for 40/116 hypercholesterolemic patients, 5/13 hypocholesterolemic patients, and 2/11, hypertriglyceridemic patients respectively. This workflow allowed the detection of CNV contrary to our previous strategy. Some variations were found in previously unexplored regions providing an added value for genotype‐phenotype correlation and familial screening. In conclusion, this new NGS process is an effective mutation detection method and allows better understanding of phenotype. Consequently this assay meets the medical need for individualized diagnosis of dyslipidemia.     

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.     

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.     

Utility of next‐generation sequencing methods to identify the novel HLA alleles in potential stem cell donors from Chinese Marrow Donor Program

The human leucocyte antigen (HLA) is the most polymorphic region of the human genome. Compared with Sanger‐sequencing‐based typing (SBT) methods, next‐generation sequencing (NGS) has significantly higher throughput and depth sequencing characteristics, having dramatic impacts on HLA typing in clinical settings. Here, we performed NGS technology with Ion Torrent S5 platform to evaluate the potential four novel HLA alleles detected in five donors from Chinese Marrow Donor Program (CMDP, Shaanxi Province) during routine Sanger SBT testing. We also predicted the highest estimated relative frequency novel allele‐bearing haplotypes according to their phenotypes and HaploStats database. NGS assays, as it provided the phase‐defined and complete sequencing information, undoubtedly increase novel allele identification which will greatly enrich HLA database and provide more information for donor selection.     

Copy number variant analysis using genome‐wide mate‐pair sequencing

Copy number variation (CNV) is a common form of structural variation detected in human genomes, occurring as both constitutional and somatic events. Cytogenetic techniques like chromosomal microarray (CMA) are widely used in analyzing CNVs. However, CMA techniques cannot resolve the full nature of these structural variations (i.e. the orientation and location of associated breakpoint junctions) and must be combined with other cytogenetic techniques, such as karyotyping or FISH, to do so. This makes the development of a next‐generation sequencing (NGS) approach capable of resolving both CNVs and breakpoint junctions desirable. Mate‐pair sequencing (MPseq) is a NGS technology designed to find large structural rearrangements across the entire genome. Here we present an algorithm capable of performing copy number analysis from mate‐pair sequencing data. The algorithm uses a step‐wise procedure involving normalization, segmentation, and classification of the sequencing data. The segmentation technique combines both read depth and discordant mate‐pair reads to increase the sensitivity and resolution of CNV calls. The method is particularly suited to MPseq, which is designed to detect breakpoint junctions at high resolution. This allows for the classification step to accurately calculate copy number levels at the relatively low read depth of MPseq. Here we compare results for a series of hematological cancer samples that were tested with CMA and MPseq. We demonstrate comparable sensitivity to the state‐of‐the‐art CMA technology, with the benefit of improved breakpoint resolution. The algorithm provides a powerful analytical tool for the analysis of MPseq results in cancer.     

A substantial proportion of apparently heterozygous TP53 pathogenic variants detected with a next‐generation sequencing hereditary pan‐cancer panel are acquired somatically

Previous analysis of next‐generation sequencing (NGS) hereditary pan‐cancer panel testing demonstrated that approximately 40% of TP53 pathogenic and likely pathogenic variants (PVs) detected have NGS allele frequencies between 10% and 30%, indicating that they likely are acquired somatically. These are seen more frequently in older adults, suggesting that most result from normal aging‐related clonal hematopoiesis. For this analysis, apparent heterozygous germline TP53 PV carriers (NGS allele frequency 30–70%) were offered follow‐up testing to confirm variant origin. Ninety‐eight probands had samples submitted for follow‐up family member testing, fibroblast testing, or both. The apparent heterozygous germline TP53 PV was not detected in 32.6% (15/46) of submitted fibroblast samples, indicating that it was acquired somatically, either through clonal hematopoiesis or via constitutional mosaicism. Notably, no individuals with confirmed germline or likely germline TP53 PVs met classic Li–Fraumeni syndrome (LFS) criteria, only 41% met Chompret LFS criteria, and 59% met neither criteria, based upon provider‐reported personal and family cancer history. Comprehensive reporting of TP53 PVs detected using NGS, combined with follow‐up analysis to confirm variant origin, is advised for clinical testing laboratories. These findings underscore the investment required to provide individuals and family members with clinically accurate genetic test results pertaining to their LFS risk.     

Detection of novel germline mutations in six breast cancer predisposition genes by targeted next‐generation sequencing

In this study, a customized amplicon‐based target sequencing panel was designed to enrich the whole exon regions of six genes associated with the risk of breast cancer. Targeted next‐generation sequencing (NGS) was performed for 146 breast cancer patients (BC), 71 healthy women with a family history of breast cancer (high risk), and 55 healthy women without a family history of cancer (control). Sixteen possible disease‐causing mutations on four genes were identified in 20 samples. The percentages of possible disease‐causing mutation carriers in the BC group (8.9%) and in the high‐risk group (8.5%) were higher than that in the control group (1.8%). The BRCA1 possible disease‐causing mutation group had a higher prevalence in family history and triple‐negative breast cancer, while the BRCA2 possible disease‐causing mutation group was younger and more likely to develop axillary lymph node metastasis (P < 0.05). Among the 146 patients, 47 with a family history of breast cancer were also sequenced with another 14 moderate‐risk genes. Three additional possible disease‐causing mutations were found on PALB2, CHEK2, and PMS2 genes, respectively. The results demonstrate that the six‐gene targeted NGS panel may provide an approach to assess the genetic risk of breast cancer and predict the clinical prognosis of breast cancer patients.     

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.     

Results of next‐generation sequencing gene panel diagnostics including copy‐number variation analysis in 810 patients suspected of heritable thoracic aortic disorders

Simultaneous analysis of multiple genes using next‐generation sequencing (NGS) technology has become widely available. Copy‐number variations (CNVs) in disease‐associated genes have emerged as a cause for several hereditary disorders. CNVs are, however, not routinely detected using NGS analysis. The aim of this study was to assess the diagnostic yield and the prevalence of CNVs using our panel of Hereditary Thoracic Aortic Disease (H‐TAD)‐associated genes. Eight hundred ten patients suspected of H‐TAD were analyzed by targeted NGS analysis of 21 H‐TAD associated genes. In addition, the eXome hidden Markov model (XHMM; an algorithm to identify CNVs in targeted NGS data) was used to detect CNVs in these genes. A pathogenic or likely pathogenic variant was found in 66 of 810 patients (8.1%). Of these 66 pathogenic or likely pathogenic variants, six (9.1%) were CNVs not detectable by routine NGS analysis. These CNVs were four intragenic (multi‐)exon deletions in MYLK, TGFB2, SMAD3, and PRKG1, respectively. In addition, a large duplication including NOTCH1 and a large deletion encompassing SCARF2 were detected. As confirmed by additional analyses, both CNVs indicated larger chromosomal abnormalities, which could explain the phenotype in both patients. Given the clinical relevance of the identification of a genetic cause, CNV analysis using a method such as XHMM should be incorporated into the clinical diagnostic care for H‐TAD patients.     

Diagnosis of monogenic liver diseases in childhood by next‐generation sequencing

Next‐generation sequencing (NGS) has opened up novel diagnostic opportunities for children with unidentified, but suspected inherited diseases. We describe our single‐center experience with NGS diagnostics in standard clinical scenarios in pediatric hepatology. We investigated 135 children with suspected inherited hepatopathies, where initially no causative pathogenic variant had been identified, with an amplicon‐based NGS panel of 21 genes associated with acute and chronic hepatopathies. In 23 of these patients, we detected pathogenic or likely pathogenic variants in 10 different genes. We present 6 novel variants. A total of 14 of these patients presented with the characteristic phenotype of the related hepatopathy. Nine patients showed only few or atypical clinical symptoms or presented with additional signs. In another 13 out of 135 cases, we detected variants of unknown significance (VUS) in 9 different genes. Only 2 of these patients showed characteristic phenotypes conclusive with the detected variants, whereas 11 patients showed unspecific or atypical phenotypes. Our multi‐gene panel is a fast and comprehensive tool to diagnose inherited pediatric hepatopathies. We also illustrate the challenge of dealing with genetic variants and highlight arising clinical questions, especially in patients with atypical phenotypes.     

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.     

X‐linked duplication copy number variation in a familial overgrowth condition

We describe an overgrowth condition associated with X‐linked copy number variation. Three brothers displayed an overgrowth pattern at birth that continued postnatally. Clinical findings included macrocephaly, distinctive facial features, developmental delay and variable clubfoot. Normal fetal growth was noted until the third trimester by Hadlock standards, revealing a late gestational overgrowth pattern. Microarray analysis in the family showed a maternally inherited 680 kb copy number duplication at Xq26.1‐q26.2 in all three brothers. Molecular sequencing for known overgrowth conditions including GPC3, Sotos 1 (NSD1), Malan (NFIX), Perlman (DIS3L2), Weaver (EZH2), Opitz–Kaveggia (MED12) loci were negative. BWS IC1 and IC2 methylation and CDKN1C testing was also negative. Normal IGF1 levels excluded X‐linked acrogiantism. The duplicated region Xq26.1‐q26.2 contained IGSF1 and at least part of the lncRNA FIRRE. IGSF1, a highly expressed pituitary immunoglobulin superfamily gene, was recently implicated in a genome‐wide association study of canine size. IGSF1 variants were associated with large canine breeds compared to smaller breeds. Our findings support the hypothesis that an X‐linked variant encompassing the IGSF1 region may be associated with body size. Although IGSF1 loss has been noted in human hypothyroidism, this is the first reported phenotype in a family with copy number duplication in the region. Our findings suggest that prenatal evaluation, cross‐species evaluation, Mendelian, and GWAS studies may describe a distinctive familial condition and its corresponding phenotypic features.     

Whole‐genome sequencing in patients with ciliopathies uncovers a novel recurrent tandem duplication in IFT140

Ciliopathies represent a wide spectrum of rare diseases with overlapping phenotypes and a high genetic heterogeneity. Among those, IFT140 is implicated in a variety of phenotypes ranging from isolated retinis pigmentosa to more syndromic cases. Using whole‐genome sequencing in patients with uncharacterized ciliopathies, we identified a novel recurrent tandem duplication of exon 27–30 (6.7 kb) in IFT140, c.3454‐488_4182+2588dup p.(Tyr1152_Thr1394dup), missed by whole‐exome sequencing. Pathogenicity of the mutation was assessed on the patients’ skin fibroblasts. Several hundreds of patients with a ciliopathy phenotype were screened and biallelic mutations were identified in 11 families representing 12 pathogenic variants of which seven are novel. Among those unrelated families especially with a Mainzer‐Saldino syndrome, eight carried the same tandem duplication (two at the homozygous state and six at the heterozygous state). In conclusion, we demonstrated the implication of structural variations in IFT140‐related diseases expanding its mutation spectrum. We also provide evidences for a unique genomic event mediated by an Alu–Alu recombination occurring on a shared haplotype. We confirm that whole‐genome sequencing can be instrumental in the ability to detect structural variants for genomic disorders.     

Epilepsy‐related sudden unexpected death: targeted molecular analysis of inherited heart disease genes using next‐generation DNA sequencing

Inherited heart disease causing electric instability in the heart has been suggested to be a risk factor for sudden unexpected death in epilepsy (SUDEP). The purpose of this study was to reveal the correlation between epilepsy‐related sudden unexpected death (SUD) and inherited heart disease. Twelve epilepsy‐related SUD cases (seven males and five females, aged 11–78 years) were examined. Nine cases fulfilled the criteria of SUDEP, and three cases died by drowning. In addition to examining three major epilepsy‐related genes, we used next‐generation sequencing (NGS) to examine 73 inherited heart disease‐related genes. We detected both known pathogenic variants and rare variants with minor allele frequencies of <0.5%. The pathogenicity of these variants was evaluated and graded by eight in silico predictive algorithms. Six known and six potential rare variants were detected. Among these, three known variants of LDB3, DSC2 and KCNE1 and three potential rare variants of MYH6, DSP and DSG2 were predicted by in silico analysis as possibly highly pathogenic in three of the nine SUDEP cases. Two of three cases with desmosome‐related variants showed mild but possible significant right ventricular dysplasia‐like pathology. A case with LDB3 and MYH6 variants showed hypertrabeculation of the left ventricle and severe fibrosis of the cardiac conduction system. In the three drowning death cases, one case with mild prolonged QT interval had two variants in ANK2. This study shows that inherited heart disease may be a significant risk factor for SUD in some epilepsy cases, even if pathological findings of the heart had not progressed to an advanced stage of the disease. A combination of detailed pathological examination of the heart and gene analysis using NGS may be useful for evaluating arrhythmogenic potential of epilepsy‐related SUD.     

Genetic counselors' (GC) knowledge,awareness, understanding of clinical next‐generation sequencing (NGS) genomic testing

Genomic tests are increasingly complex, less expensive, and more widely available with the advent of next‐generation sequencing (NGS). We assessed knowledge and perceptions among genetic counselors pertaining to NGS genomic testing via an online survey. Associations between selected characteristics and perceptions were examined. Recent education on NGS testing was common, but practical experience limited. Perceived understanding of clinical NGS was modest, specifically concerning tumor testing. Greater perceived understanding of clinical NGS testing correlated with more time spent in cancer‐related counseling, exposure to NGS testing, and NGS‐focused education. Substantial disagreement about the role of counseling for tumor‐based testing was seen. Finally, a majority of counselors agreed with the need for more education about clinical NGS testing, supporting this approach to optimizing implementation.     

Estimating the relative frequency of leukodystrophies and recommendations for carrier screening in the era of next‐generation sequencing

Leukodystrophies are a heterogeneous group of heritable disorders characterized by abnormal brain white matter signal on magnetic resonance imaging (MRI) and primary involvement of the cellular components of myelin. Previous estimates suggest the incidence of leukodystrophies as a whole to be 1 in 7,000 individuals, however the frequency of specific diagnoses relative to others has not been described. Next generation sequencing approaches offer the opportunity to redefine our understanding of the relative frequency of different leukodystrophies. We assessed the relative frequency of all 30 leukodystrophies (associated with 55 genes) in more than 49,000 exomes. We identified a relatively high frequency of disorders previously thought of as very rare, including Aicardi Goutières Syndrome, TUBB4A‐related leukodystrophy, Peroxisomal biogenesis disorders, POLR3‐related Leukodystrophy, Vanishing White Matter, and Pelizaeus‐Merzbacher Disease. Despite the relative frequency of these conditions, carrier‐screening laboratories regularly test only 20 of the 55 leukodystrophy‐related genes, and do not test at all, or test only one or a few, genes for some of the higher frequency disorders. Relative frequency of leukodystrophies previously considered very rare suggests these disorders may benefit from expanded carrier screening.     

Application of whole‐exome sequencing for detecting copy number variants in CMT1A/HNPP

Large insertions and deletions (indels), including copy number variations (CNVs), are commonly seen in many diseases. Standard approaches for indel detection rely on well‐established methods such as qPCR or short tandem repeat (STR) markers. Recently, a number of tools for CNV detection based on next‐generation sequencing (NGS) data have also been developed; however, use of these methods is limited. Here, we used whole‐exome sequencing (WES) in patients previously diagnosed with CMT1A or HNPP using STR markers to evaluate the ability of WES to improve the clinical diagnosis. Patients were evaluated utilizing three CNV detection tools including CONIFER, ExomeCNV and CEQer, and array comparative genomic hybridization (aCGH). We identified a breakpoint region at 17p11.2‐p12 in patients with CMT1A and HNPP. CNV detection levels were similar in both 6 Gb (mean read depth = 80×) and 17 Gb (mean read depth = 190×) data. Taken together, these data suggest that 6 Gb WES data are sufficient to reveal the genetic causes of various diseases and can be used to estimate single mutations, indels, and CNVs simultaneously. Furthermore, our data strongly indicate that CNV detection by NGS is a rapid and cost‐effective method for clinical diagnosis of genetically heterogeneous disorders such as CMT neuropathy.