PattRec: An easy-to-use CNV detection tool optimized for targeted NGS assays with diagnostic purposes.

Genetic laboratories use custom-commercial targeted next-generation sequencing (tg-NGS) assays to identify disease-causing variants. Although the high coverage achieved with these tests allows for the detection of copy number variants (CNVs), which account for an important proportion of the genetic burden in human diseases, an easy-to-use tool for automatic CNV detection is still lacking. This article presents a new CNV detection tool optimized for tg-NGS data: PattRec. PattRec was evaluated using a wide range of data, and its performance compared with those of other CNV detection tools. The software includes features for selecting optimal controls, discarding polymorphic CNVs prior to analysis, and filtering out deletions based on SNV zygosity, and automatically creates an in-house CNV database. There is no need for high level bioinformatic expertise and users can choose color-coded xlsx output that helps to prioritize potentially pathogenic CNVs. PattRec is presented as a Java based GUI, freely available online: https://github.com/irotero/PattRec.

A novel missense mutation in GRIN2A causes a nonepileptic neurodevelopmental disorder.

BACKGROUND: Mutations in the GRIN2A gene, which encodes the GluN2A (glutamate [NMDA] receptor subunit epsilon-1) subunit of the N-methyl-d-aspartate receptor, have been identified in patients with epilepsy-aphasia spectrum disorders, idiopathic focal epilepsies with centrotemporal spikes, and epileptic encephalopathies with severe developmental delay. However, thus far, mutations in this gene have not been associated with a nonepileptic neurodevelopmental disorder with dystonia. OBJECTIVES: The objective of this study was to identify the disease-causing gene in 2 siblings with neurodevelopmental and movement disorders with no epileptiform abnormalities. METHODS: The study method was targeted next-generation sequencing panel for neuropediatric disorders and subsequent electrophysiological studies. RESULTS: The 2 siblings carry a novel missense mutation in the GRIN2A gene (p.Ala643Asp) that was not detected in genomic DNA isolated from blood cells of their parents, suggesting that the mutation is the consequence of germinal mosaicism in 1 progenitor. In functional studies, the GluN2A-A643D mutation increased the potency of the agonists L-glutamate and glycine and decreased the potency of endogenous negative modulators, including protons, magnesium and zinc but reduced agonist-evoked peak current response in mammalian cells, suggesting that this mutation has a mixed effect on N-methyl-d-aspartate receptor function. CONCLUSION: De novo GRIN2A mutations can give rise to a neurodevelopmental and movement disorder without epilepsy. © 2018 International Parkinson and Movement Disorder Society.

Prioritization of Variants Detected by Next Generation Sequencing According to the Mutation Tolerance and Mutational Architecture of the Corresponding Genes.

The biggest challenge geneticists face when applying next-generation sequencing technology to the diagnosis of rare diseases is determining which rare variants, from the dozens or hundreds detected, are potentially implicated in the patient's phenotype. Thus, variant prioritization is an essential step in the process of rare disease diagnosis. In addition to conducting the usual in-silico analyses to predict variant pathogenicity (based on nucleotide/amino-acid conservation and the differences between the physicochemical features of the amino-acid change), three important concepts should be borne in mind. The first is the "mutation tolerance" of the genes in which variants are located. This describes the susceptibility of a given gene to any functional mutation and depends on the strength of purifying selection acting against it. The second is the "mutational architecture" of each gene. This describes the type and location of mutations previously identified in the gene, and their association with different phenotypes or degrees of severity. The third is the mode of inheritance (inherited vs. de novo) of the variants detected. Here, we discuss the importance of each of these concepts for variant prioritization in the diagnosis of rare diseases. Using real data, we show how genes, rather than variants, can be prioritized by calculating a gene-specific mutation tolerance score. We also illustrate the influence of mutational architecture on variant prioritization using five paradigmatic examples. Finally, we discuss the importance of familial variant analysis as final step in variant prioritization.

Clinical and genetic features of 13 Spanish patients with KCNQ2 mutations.

The KCNQ2 gene codifies a subunit of the voltage-gated potassium M channel underlying the neuronal M-current. Classically, mutations in this gene have been associated with benign familial neonatal seizures, however, in recent years KCNQ2 mutations have been reported associated to early-onset epileptic encephalopathy. In this work, detailed familiar, clinical and genetic data were collected for 13 KCNQ2-positive patients revealed among a cohort of 80 epileptic pediatric probands from Spain who were analyzed through a targeted next-generation sequencing assay for 155 epilepsy-associated genes. This work shows for the first time the association between KCNQ2 mutations and startle attacks in 38% of patients, which opens the possibility to define electroclinical phenotypes associated to KCNQ2 mutations. It also demonstrates that KCNQ2 mutations contribute to an important percentage of Spanish patients with epilepsy. The study confirm the high genetic heterogeneity of this gene with 13 different mutations found, 10 of them novel and the better outcome of patients treated with sodium channel blockers.

Genotype and phenotype characterization in a Spanish cohort with isovaleric acidemia.

Isovaleric acidemia (IVA) is a rare disorder of leucine metabolism. We carried out a multicenter study of IVA patients diagnosed by newborn screening (NBS) or symptoms clinics over a period of 28 years in Spain. Evaluated at diagnosis, data included age, detection method, levels of C5 and IVG, enzymatic studies, clinical presentation parameters and genotype in 16 patients. Follow-up data included C5 levels, intellectual quotient and correlation genotype-phenotype. IVA was detected by NBS in 8 patients (prevalence of 1/326 629). Except 1, all the 8 patients identified by NBS were asymptomatic at diagnosis and had isovalerylcarnitine (C5) levels of 1.6-6.4 µM and isovalerylglycine (IVG) levels <1100 mmol per mol creatinine; they remained asymptomatic with a natural protein intake ⩾1.5 g kg-1 per day. Symptomatic patients with chronic intermittent or acute neonatal IVA had C5 levels of 3.9-16.3 µM and IVG levels >3400 mmol per mol creatinine. The percentage of isovalerate incorporation in fibroblasts was 64-80% in patients detected by NBS and 4.9-13% in symptomatic patients. Cognitive function was within normal ranges in all patients but was negatively correlated with IVG at detection (-0.592; P<0.05). The genetic analysis revealed nine novel mutations. The clinical/biochemical phenotype correlated fairly well with the phenotype predicted by the mutations found. In conclusion, although blood C5 levels have traditionally been considered the prognostic marker of choice, urine IVG levels would appear to be a better predictor, as they correlated well with severity of mutations and were associated with a lower incorporation rate of IVA in fibroblasts and a less favorable clinical course.

Molecular epidemiology, genotype-phenotype correlation and BH4 responsiveness in Spanish patients with phenylketonuria.

Phenylketonuria (PKU), the most common inborn error of amino acid metabolism, is caused by mutations in the phenylalanine-4-hydroxylase (PAH) gene. This study aimed to assess the genotype-phenotype correlation in the PKU Spanish population and the usefulness in establishing genotype-based predictions of BH4 responsiveness in our population. It involved the molecular characterization of 411 Spanish PKU patients: mild hyperphenylalaninemia non-treated (mild HPA-NT) (34%), mild HPA (8.8%), mild-moderate (20.7%) and classic (36.5%) PKU. BH4 responsiveness was evaluated using a 6R-BH4 loading test. We assessed genotype-phenotype associations and genotype-BH4 responsiveness in our population according to literature and classification of the mutations. The mutational spectrum analysis showed 116 distinct mutations, most missense (70.7%) and located in the catalytic domain (62.9%). The most prevalent mutations were c.1066-11G>A (9.7%), p.Val388Met (6.6%) and p.Arg261Gln (6.3%). Three novel mutations (c.61-13del9, p.Ile283Val and p.Gly148Val) were reported. Although good genotype-phenotype correlation was observed, there was no exact correlation for some genotypes. Among the patients monitored for the 6R-BH4 loading test: 102 were responders (87, carried either one or two BH4-responsive alleles) and 194 non-responders (50, had two non-responsive mutations). More discrepancies were observed in non-responders. Our data reveal a great genetic heterogeneity in our population. Genotype is quite a good predictor of phenotype and BH4 responsiveness, which is relevant for patient management, treatment and follow-up.

Vitamin and mineral status in patients with hyperphenylalaninemia.

Natural sources of protein and some vitamins and minerals are limited in phenylketonuria (PKU) treated patients, who should receive optimal supplementation although this is not yet fully established. We conducted a cross-sectional observational multicenter study including 156 patients with hyperphenylalaninemia. Patients were stratified by age, phenotype, disease detection and type of treatment. Annual median blood phenylalanine (Phe) levels, Phe tolerance, anthropometric measurements, and biochemical parameters (total protein, prealbumin, electrolytes, selenium, zinc, B12, folic acid, ferritin, 25-OH vitamin D) were collected in all patients. 81.4% of patients had biochemical markers out of recommended range but no clinical symptoms. Total protein, calcium, phosphorus, B12, ferritin, and zinc levels were normal in most patients. Prealbumin was reduced in 34.6% of patients (74% with PKU phenotype and 94% below 18 years old), showing almost all (96.3%) an adequate adherence to diet. Selenium was diminished in 25% of patients (95% with PKU phenotype) and also 25-OHD in 14%. Surprisingly, folic acid levels were increased in 39% of patients, 66% with classic PKU. Phosphorus and B12 levels were found diminished in patients with low adherence to diet. Patients under BH4 therapy only showed significant lower levels of B12. This study shows a high percentage of prealbumin and selenium deficiencies as well as an increased level of folic acid in PKU treated patients, which should lead us to assess an adjustment for standards supplements formulated milks.

A glimpse into past, present, and future DNA sequencing.

Current advances in DNA sequencing technologies are dropping down sequencing cost while increasing throughput at a pace never shown before. Past-decade great milestones, as the establishment of a reference human genome (amongst others) and large-scale human genetic variation study in the 1000 Genome project are, in conjunction with the use of these techniques, triggering advances in many areas of basic and applied science. These tools, stored in and combined with the vast amount of information present in biological online databases are, with the use of automated interpretation and analysis tools, allowing the fulfillment of increasingly ambitious studies in many areas and also are democratizing the access to information, interpretation and technologies, being the first opportunity for researchers to assess the influence of genetics in complex events as multifactorial diseases, evolutionary studies, metagenomics, transcriptomics, etc. In this review, we present the current state of the art of these technologies, focusing on second generation sequencing, from sample and library preparation to sequencing chemistries and bioinformatic software available for final data analysis and visualisation, with its possible applications. We also make an overview of first and third generation, due to its historical importance and for being the upcoming future tools for genetic analysis, respectively.

Clinical and metabolic findings in patients with methionine adenosyltransferase I/III deficiency detected by newborn screening.

Persistent hypermethioninemia due to mutations in the MAT1A gene is often found during newborn screening (NBS) for homocystinuria due to cystathionine beta-synthase deficiency, however, outcomes and optimal management for these patients are not well established. We carried out a multicenter study of MAT I/III-deficient patients detected by NBS in four of the Spanish regional NBS programs. Data evaluated during NBS and follow-up for 18 patients included methionine and total homocysteine levels, clinical presentation parameters, genotypes, and development quotients. The birth prevalence was 1:1:22,874. At detection 16 of the 18 patients exhibited elevations of plasma methionine above 60 µmol/L (mean 99.9 ± 38 µmol/L) and the mean value in confirmation tests was 301 µmol/L (91-899) µmol/L. All patients were asymptomatic. In four patients with more markedly elevated plasma methionines (>450 µmol/L) total homocysteine values were slightly elevated (about 20 µmol/L). The average follow-up period was 3 years 7 months (range: 2-123 months). Most patients (83%) were heterozygous for the autosomal dominant Arg264His mutation and, with one exception, presented relatively low circulating methionine concentrations (<400 µM). Additional mutations identified in patients with mean confirmatory plasma methionines above 400 µM were Arg199Cys, Leu355Arg, and a novel mutation, Thr288Ala. During continued follow-up, the patients have been asymptomatic, and, to date, no therapeutic interventions have been utilized. Therefore, the currently available evidence shows that hypermethioninemia due to heterozygous MAT1A mutations such as Arg264His is a mild condition for which no treatment is necessary.

Laing early-onset distal myopathy with subsarcolemmal hyaline bodies caused by a novel variant in the MYH7 gene.

Myopathies caused by MYH7 gene mutations are clinically and pathologically heterogeneous and, until recently, difficult to diagnose. The availability of NGS panels for hereditary neuromuscular diseases changed our insight regarding their frequency and allowed a better perception of the different phenotypes and morphological abnormalities associated. We present a male Portuguese patient with the classical phenotype of Laing early-onset distal myopathy (MPD1) beginning at 6 years of age, very slowly progressive, and with a mild to moderate impact on daily life by the age of 56. Muscle biopsy showed a myopathic pattern with hyaline bodies and cores. The NGS panel for structural myopathies identified a novel missense heterozygous variant, c.T4652C (p.Leu1551Pro), in the exon 34 of the MYH7 gene.

Free-access copy-number variant detection tools for targeted next-generation sequencing data.

Copy number variants (CNVs) are intermediate-scale structural variants containing copy number changes involving DNA fragments of between 1 kb and 5 Mb. Although known to account for a significant proportion of the genetic burden in human disease, the role of CNVs (especially small CNVs) is often underestimated, as they are undetectable by traditional Sanger sequencing. Since the development of next-generation sequencing (NGS) technologies, several research groups have compared depth of coverage (DoC) patterns between samples, an approach that may facilitate effective CNV detection. Most CNV detection tools based on DoC comparisons are designed to work with whole-genome sequencing (WGS) or whole-exome sequencing (WES) data. However, few methods developed to date are designed for custom/commercial targeted NGS (tg-NGS) panels, the assays most commonly used for diagnostic purposes. Moreover, the development and evaluation of these tools is hindered by (i) the scarcity of thoroughly annotated data containing CNVs and (ii) a dearth of simulation tools for WES and tg-NGS that mimic the errors and biases encountered in these data. Here, we review DoC-based CNV detection methods described in the current literature, assess their performance with simulated tg-NGS data, and discuss their strengths and weaknesses when integrated into the daily laboratory workflow. Our findings suggest that the best methods for CNV detection in tg-NGS panels are DECoN, ExomeDepth, and ExomeCNV. Regardless of the method used, there is a need to make these programs more user-friendly to enable their use by diagnostic laboratory staff who lack bioinformatics training.

A de novo heterozygous missense BSCL2 variant in 2 siblings with intractable developmental and epileptic encephalopathy.

PURPOSE: We present the case of 2 siblings with profound refractory epilepsy and neurological regression that began at the ages of 3 and 6 months. Diagnosis remained elusive despite extensive metabolic and genetic workups, including use of a targeted next-generation sequencing panel for epilepsy genes. METHODS: Whole-exome sequencing was performed for the 2 siblings and their unaffected parents, in addition to fibroblast cell culture, RNA extraction and reverse-transcription, and cDNA PCR. Brain tissue from one of the siblings was collected post-mortem for neuropathological examination, including histology and immunohistochemistry. RESULTS: Ade novo nucleotide change (c.566 T > A; p.(Met189Lys)) in exon 4 of the BSCL2 gene was detected in the 2 siblings, and confirmed by Sanger sequencing. This variant was absent in the parents and in a third, unaffected sibling. CONCLUSION: Given thede novo nature of the variant, its absence from public and in-house databases, our in silico pathogenicity predictions, and co-segregation of the variant with the disease phenotype, we believe that this novel variant is associated with the epileptic encephalopathy phenotype of the 2 siblings. Our findings provide the first evidence of an association between a heterozygous BSCL2 variant and developmental and early infantile epileptic encephalopathy. Further functional studies will be needed to elucidate the pathophysiological mechanisms underlying this new BSCL2-associated phenotype.

Bethlem myopathy: a series of 16 patients and description of seven new associated mutations.

BACKGROUND: Bethlem myopathy represents the milder phenotype of collagen type VI-related myopathies. However, clinical manifestations are highly variable among patients and no phenotype-genotype correlation has been described. We aim to analyse the clinical, pathological and genetic features of a series of patients with Bethlem myopathy, and we describe seven new mutations. METHODS: A series of 16 patients with the diagnosis of Bethlem myopathy were analyzed retrospectively from their medical records for clinical, creatine kinase (CK), muscle biopsy, and muscle magnetic resonance (MRI) data. Genetic testing was performed through next-generation sequencing of custom amplicon-based targeted genes panel of myopathies. Mutations were confirmed by Sanger sequencing. RESULTS: The most frequent phenotype consisted of proximal limb weakness associated with interphalangeal and wrists contractures. However, cases with isolated contractures or isolated myopathy were found. CK levels did not correlate with severity of the disease. The most frequent mutation was the COL6A3 variant c.7447A>G, p.Lys2486Glu, with either an homozygous or compound heterozygous presentation. Five new mutations were found in COL6A1 gene and other two in COL6A3 gene, all of them with a dominant heritability pattern. From these, a new COL6A1 mutation (c.1657G>A, p.Glu553Arg) was related to an oligosymptomatic phenotype with predominating contractures in the absence of weakness and a normal muscle MRI. Finally, the most common COL6A1 mutation reported to date that leads to an Ullrich phenotype (c. 868G>A, p.Gly290Arg), has been found here as Bethlem presentation. CONCLUSIONS: Manifestations of Bethlem myopathy are quite variable, so either contractures or weakness may be lacking, and no phenotype-genotype associations can be brought.

Molecular Characterization of New FBXL4 Mutations in Patients With mtDNA Depletion Syndrome.

Encephalomyopathic mitochondrial DNA (mtDNA) depletion syndrome 13 (MTDPS13) is a rare genetic disorder caused by defects in F-box leucine-rich repeat protein 4 (FBXL4). Although FBXL4 is essential for the bioenergetic homeostasis of the cell, the precise role of the protein remains unknown. In this study, we report two cases of unrelated patients presenting in the neonatal period with hyperlactacidemia and generalized hypotonia. Severe mtDNA depletion was detected in muscle biopsy in both patients. Genetic analysis showed one patient as having in compound heterozygosis a splice site variant c.858+5G>C and a missense variant c.1510T>C (p.Cys504Arg) in FBXL4. The second patient harbored a frameshift novel variant c.851delC (p.Pro284LeufsTer7) in homozygosis. To validate the pathogenicity of these variants, molecular and biochemical analyses were performed using skin-derived fibroblasts. We observed that the mtDNA depletion was less severe in fibroblasts than in muscle. Interestingly, the cells harboring a nonsense variant in homozygosis showed normal mtDNA copy number. Both patient fibroblasts, however, demonstrated reduced mitochondrial transcript quantity leading to diminished steady state levels of respiratory complex subunits, decreased respiratory complex IV (CIV) activity, and finally, low mitochondrial ATP levels. Both patients also revealed citrate synthase deficiency. Genetic complementation assays established that the deficient phenotype was rescued by the canonical version of FBXL4, confirming the pathological nature of the variants. Further analysis of fibroblasts allowed to establish that increased mitochondrial mass, mitochondrial fragmentation, and augmented autophagy are associated with FBXL4 deficiency in cells, but are probably secondary to a primary metabolic defect affecting oxidative phosphorylation.

Rare Variants in 48 Genes Account for 42% of Cases of Epilepsy With or Without Neurodevelopmental Delay in 246 Pediatric Patients.

In order to characterize the genetic architecture of epilepsy in a pediatric population from the Iberian Peninsula (including the Canary Islands), we conducted targeted exome sequencing of 246 patients with infantile-onset seizures with or without neurodevelopmental delay. We detected 107 variants in 48 different genes, which were implicated in neuronal excitability, neurodevelopment, synaptic transmission, and metabolic pathways. In 104 cases (42%) we detected variant(s) that we classified as pathogenic or likely pathogenic. Of the 48 mutated genes, 32 were dominant, 8 recessive and 8 X-linked. Of the patients for whom family studies could be performed and in whom pathogenic variants were identified in dominant or X-linked genes, 82% carried de novo mutations. The involvement of small copy number variations (CNVs) is 9%. The use of progressively updated custom panels with high mean vertical coverage enabled establishment of a definitive diagnosis in a large proportion of cases (42%) and detection of CNVs (even duplications) with high fidelity. In 10.5% of patients we detected associations that are pending confirmation via functional and/or familial studies. Our findings had important consequences for the clinical management of the probands, since a large proportion of the cohort had been clinically misdiagnosed, and their families were subsequently able to avail of genetic counseling. In some cases, a more appropriate treatment was selected for the patient in question, or an inappropriate treatment discontinued. Our findings suggest the existence of modifier genes that may explain the incomplete penetrance of some epilepsy-related genes. We discuss possible reasons for non-diagnosis and future research directions. Further studies will be required to uncover the roles of structural variants, epimutations, and oligogenic inheritance in epilepsy, thereby providing a more complete molecular picture of this disease. In summary, given the broad phenotypic spectrum of most epilepsy-related genes, efficient genomic tools like the targeted exome sequencing panel described here are essential for early diagnosis and treatment, and should be implemented as first-tier diagnostic tools for children with epilepsy without a clear etiologic basis.

SIGMAR1 gene mutation causing Distal Hereditary Motor Neuropathy in a Portuguese family.

SIGMAR1 gene encodes a non-opioid endoplasmic reticulum (ER) protein which is involved in a large diversity of cell functions and is expressed ubiquitously in both central and peripheral nervous systems. Alterations of its normal function may contribute to two different phenotypes: juvenile amyotrophic lateral sclerosis (ALS 16) and distal hereditary motor neuropathies (dHMN). We present the case of a female patient, of 37-years-old, with distal muscle weakness and atrophy beginning in childhood and slowly progressive in the first two decades of life. Neurological examination revealed a symmetrical severe muscle wasting and weakness in distal lower and upper limbs, with claw hands, footdrop with equinovarus deformity and hammer toes, generalized areflexia and normal sensory examination. The electrodiagnostic study revealed a pure chronic motor peripheral nerve involvement without signs of demyelination. The molecular study found the deletion c.561_576del on exon 4 and a deletion of all exon 4, in the SIGMAR1 gene.