ABSTRACT
Arthrogryposis multiplex congenita (AMC) [also known as multiple joints contracture or Fetal Akinesia Deformation Sequence (FADS)] is etiologically a heterogeneous condition with an estimated incidence of approximately 1 in 3000 live births and much higher incidence when prenatally diagnosed cases are included. The condition can be acquired or secondary to fetal exposures and can also be caused by a variety of single-gene disorders affecting the brain, spinal cord, peripheral nerves, neuromuscular junction, muscle, and a variety of disorders affecting the connective tissues (Niles et al., Prenatal Diagnosis, 2019; 39:720-731). The introduction of next-generation gene sequencing uncovered many genes and causative variants of AMC but also identified genes that cause both dominant and recessive inherited conditions with the variability of clinical manifestations depending on the genes and variants. Molecular diagnosis in these cases is not only important for prognostication but also for the determination of recurrence risk and for providing reproductive options including preimplantation and prenatal diagnosis. TTN, the largest known gene in the human genome, has been known to be associated with autosomal dominant dilated cardiomyopathy. However, homozygote and compound heterozygote pathogenic variants with recessive inheritance have rarely been reported. We report the effect of recessive variants located within the fetal IC and/or N2BA isoforms in association with severe FADS in three families. All parents were healthy obligate carriers and none of them had cardiac or skeletal muscle abnormalities. This report solidifies FADS as an alternative phenotypic presentation associated with homozygote/compound heterozygous pathogenic variants in the TTN.
Subject(s)
Arthrogryposis , Pregnancy , Female , Humans , Arthrogryposis/diagnosis , Arthrogryposis/genetics , Prenatal Diagnosis , Homozygote , Prenatal Care , Syndrome , Connectin/geneticsABSTRACT
BACKGROUND: Each of the cardiomyopathies, classically categorized as hypertrophic cardiomyopathy, dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy, has a signature genetic theme. Hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy are largely understood as genetic diseases of sarcomere or desmosome proteins, respectively. In contrast, >250 genes spanning >10 gene ontologies have been implicated in DCM, representing a complex and diverse genetic architecture. To clarify this, a systematic curation of evidence to establish the relationship of genes with DCM was conducted. METHODS: An international panel with clinical and scientific expertise in DCM genetics evaluated evidence supporting monogenic relationships of genes with idiopathic DCM. The panel used the Clinical Genome Resource semiquantitative gene-disease clinical validity classification framework with modifications for DCM genetics to classify genes into categories on the basis of the strength of currently available evidence. Representation of DCM genes on clinically available genetic testing panels was evaluated. RESULTS: Fifty-one genes with human genetic evidence were curated. Twelve genes (23%) from 8 gene ontologies were classified as having definitive (BAG3, DES, FLNC, LMNA, MYH7, PLN, RBM20, SCN5A, TNNC1, TNNT2, TTN) or strong (DSP) evidence. Seven genes (14%; ACTC1, ACTN2, JPH2, NEXN, TNNI3, TPM1, VCL) including 2 additional ontologies were classified as moderate evidence; these genes are likely to emerge as strong or definitive with additional evidence. Of these 19 genes, 6 were similarly classified for hypertrophic cardiomyopathy and 3 for arrhythmogenic right ventricular cardiomyopathy. Of the remaining 32 genes (63%), 25 (49%) had limited evidence, 4 (8%) were disputed, 2 (4%) had no disease relationship, and 1 (2%) was supported by animal model data only. Of the 16 evaluated clinical genetic testing panels, most definitive genes were included, but panels also included numerous genes with minimal human evidence. CONCLUSIONS: In the curation of 51 genes, 19 had high evidence (12 definitive/strong, 7 moderate). It is notable that these 19 genes explain only a minority of cases, leaving the remainder of DCM genetic architecture incompletely addressed. Clinical genetic testing panels include most high-evidence genes; however, genes lacking robust evidence are also commonly included. We recommend that high-evidence DCM genes be used for clinical practice and that caution be exercised in the interpretation of variants in variable-evidence DCM genes.
Subject(s)
Cardiomyopathy, Dilated/diagnosis , Cardiomyopathy, Dilated/genetics , Evidence-Based Medicine/methods , Expert Testimony/methods , Genetic Predisposition to Disease/genetics , Genetic Testing/methods , Evidence-Based Medicine/standards , Expert Testimony/standards , Genetic Testing/standards , HumansABSTRACT
Whole exome sequencing (WES)-based assays undergo rigorous validation before being implemented in diagnostic laboratories. This validation process generates experimental evidence that allows laboratories to predict the performance of the intended assay. The NA12878 Genome in a Bottle (GIAB) HapMap reference sample is commonly used for validation in diagnostic laboratories. We investigated what data points should be taken into consideration when validating WES-based assays using the GIAB reference in a diagnostic setting. We delineate specific factors that require special consideration and identify OMIM genes associated with diseases that may 'bypass' validation. Four replicates of the NA12878 sample were sequenced at the CHEO Genetics Diagnostic Laboratory on a NextSeq 500; the data were analyzed using the bcbio_nexgen v1.1.2 pipeline. The hap.py validation engine, Real Time Genomics vcfeval tool, and high confidence (HC) variant calls in HC regions available for the GIAB sample were used to validate the obtained variant calls. The same validation process was then used to evaluate variant calls obtained for the same sample by two other clinical diagnostic laboratories. We showed that variant calls in NA12878 can be confidently measured only in the regions that intersect between the GIAB HC regions and the target regions of exome capture. Of the 4139 (as of October 2019) OMIM genes associated with a phenotype and having a known molecular basis of disease, 84 were fully outside of the GIAB HC regions and many of the remaining OMIM genes were only partially covered by the HC regions. A significant proportion of variants identified in the NA12878 sample outside of the HC regions have unknown (UNK) status due to the absence of HC reference alleles. Verification of such calls is possible either by an alternative truth set or by orthogonal testing. Similarly, many variants outside of exome capture regions, if not accounted for, will be deemed false negatives due to insufficient probe coverage. Our results demonstrate the importance of the intersection between genomic regions of interest, capture regions, and the high confidence regions. If not considered, false and ambiguous variant calls could have a negative impact on diagnostic accuracy of the intended WES-based diagnostic assay and increase the need for confirmatory testing. To enable laboratories to identify 'problematic' regions and optimize validation efforts, we have made our VCF and BED files available in UCSC Genome Browser: NA12878 WES Benchmark. Relevant genes and genome annotations are evolving, we implemented a general purpose algorithm to cross-reference OMIM genes with the genomic regions of interest that can be applied to capture genes/regions outside HC regions (see repository of data material section).
Subject(s)
Exome Sequencing/methods , Genome, Human/genetics , Alleles , Exome/genetics , Genetic Variation/genetics , Genomics/methods , Humans , Molecular Sequence Annotation/methodsABSTRACT
BACKGROUND: Epilepsy is a common neurological condition that shows a marked genetic predisposition. The advent of next-generation sequencing (NGS) has transformed clinical genetic testing by allowing the rapid screen for causative variants in multiple genes. There are currently no NGS-based multigene panel diagnostic tests available for epilepsy as a licensed clinical diagnostic test in Ontario, Canada. Eligible patient samples are sent out of country for testing by commercial laboratories, which incurs significant cost to the public healthcare system. OBJECTIVE: An expert Working Group of medical geneticists, pediatric neurologists/epileptologists, biochemical geneticists, and clinical molecular geneticists from Ontario was formed by the Laboratories and Genetics Branch of the Ontario Ministry of Health and Long-Term Care to develop a programmatic approach to implementing epilepsy panel testing as a provincial service. RESULTS: The Working Group made several recommendations for testing to support the clinical delivery of care in Ontario. First, an extension of community healthcare outcomes-based program should be incorporated to inform and educate ordering providers when requesting and interpreting a genetic panel test. Second, any gene panel testing must be "evidence-based" and takes into account varied clinical indications to reduce the chance of uncertain and secondary results. Finally, an ongoing evaluative process was recommended to ensure continued test improvement for the future. CONCLUSION: This epilepsy panel testing implementation plan will be a model for genetic care directed toward a specific set of conditions in the province and serve as a prototype for genetic testing for other genetically heterogeneous diseases.
Mise en Åuvre d'un test diagnostique permettant en Ontario l'analyse d'un panel de plusieurs gènes liés à l'épilepsie.Contexte:L'épilepsie demeure un trouble neurologique fréquent dont la prédisposition génétique apparaît notable. L'émergence du séquençage de nouvelle génération (SNG) a aussi transformé les tests génétiques en permettant un dépistage rapide des variantes causales que l'on retrouve dans de nombreux gènes. À l'heure actuelle, il n'existe pas, pour l'épilepsie, de tests diagnostiques homologués qui permettent en Ontario l'analyse d'un panel de gènes en vertu du SNG. Les échantillons de patients admissibles sont alors envoyés à l'extérieur du Canada afin d'être analysés par des laboratoires commerciaux, ce qui pèse lourd dans les budgets des systèmes publics de santé. Objectif : Un groupe de travail formé d'experts (généticiens médicaux, neurologues pédiatriques et spécialistes en épileptologie, généticiens biochimiques et généticiens moléculaires cliniques) a été formé par le service des laboratoires et de la génétique des ministères de la Santé et des Soins de Longue durée de l'Ontario afin d'élaborer une démarche programmatique visant à mettre en Åuvre des tests diagnostiques basés sur un panel de plusieurs gènes. Ces tests seraient ensuite reconnus à titre de service public. Résultats:En matière de dépistage, ce groupe de travail a ainsi émis plusieurs recommandations visant à accompagner la prestation clinique en Ontario. Tout d'abord, un programme s'inspirant du projet « ECHO ¼ (Extension of Community Healthcare Outcomes) devrait être ajouté dans le but de renseigner et de sensibiliser les prestataires de soins de santé qui demandent et qui interprètent ces tests basés sur un panel de plusieurs gènes. Ensuite, tout test de ce type doit reposer sur des preuves et tenir compte d'une panoplie d'indications cliniques afin de réduire les possibilités d'incertitude et de résultats secondaires. Enfin, il a été recommandé de procéder à un processus continu d'évaluation pour s'assurer que ces tests puissent être améliorés dans le futur. Conclusion:Ce plan de mise en Åuvre de tests basés sur un panel de plusieurs gènes deviendra un modèle pour les soins destinés à un ensemble spécifique de problèmes de santé en Ontario. Outre l'épilepsie, il pourra servir comme prototype pour le dépistage d'autres maladies hétérogènes sur le plan génétique.
ABSTRACT
BACKGROUND: Advances in molecular technologies and in-silico variant prediction tools offer wide-ranging opportunities in diagnostic settings, yet they also present with significant limitations. OBJECTIVE: Here, we contextualise the limitations of next-generation sequencing (NGS), multiplex ligation-dependent probe amplification (MLPA) and in-silico prediction tools routinely used by diagnostic laboratories by reviewing specific experiences from our diagnostic laboratory. METHODS: We investigated discordant annotations and/or incorrect variant 'callings' in exons of 56 genes constituting our cardiomyopathy and connective tissue disorder NGS panels. Discordant variants and segmental duplications (SD) were queried using the National Center for Biotechnology Information (NCBI) Basic Local Alignment Search Tool and the University of California Santa Cruz genome browser, respectively, to identify regions of high homology. Discrepant variant analyses by in-silico models were re-evaluated using updated file entries. RESULTS: We observed a 5% error rate in MYH7 variant 'calling' using MLPA, which resulted from >90% homology of the MYH7 probe-binding site to MYH6. SDs were detected in TTN, PKP2 and MYLK. SDs in MYLK presented the highest risk (15.7%) of incorrect variant 'calling'. The inaccurate 'callings' and discrepant in-silico predictions were resolved following detailed investigation into the source of error. CONCLUSION: Recognising the limitations described here may help avoid incorrect diagnoses and leverage the power of new molecular technologies in diagnostic settings.
Subject(s)
Molecular Diagnostic Techniques , Molecular Medicine , Alleles , Computational Biology/methods , Disease Management , Gene Duplication , High-Throughput Nucleotide Sequencing/methods , Humans , Molecular Diagnostic Techniques/methods , Molecular Diagnostic Techniques/standards , Molecular Medicine/methods , Molecular Medicine/standards , Molecular Sequence AnnotationABSTRACT
ClinVar provides open access to variant classifications shared from many clinical laboratories. Although most classifications are consistent across laboratories, classification differences exist. To facilitate resolution of classification differences on a large scale, clinical laboratories were encouraged to reassess outlier classifications of variants with medically significant differences (MSDs). Outliers were identified by first comparing ClinVar submissions from 41 clinical laboratories to detect variants with MSDs between the laboratories (650 variants). Next, MSDs were filtered for variants with ≥3 classifications (244 variants), of which 87.6% (213 variants) had a majority consensus in ClinVar, thus allowing for identification of outlier classifications in need of reassessment. Laboratories with outlier classifications were sent a custom report and encouraged to reassess variants. Results were returned for 204 (96%) variants, of which 62.3% (127) were resolved. Of those 127, 64.6% (82) were resolved due to reassessment prompted by this study and 35.4% (45) resolved by a previously completed reassessment. This study demonstrates a scalable approach to classification resolution and capitalizes on the value of data sharing within ClinVar. These activities will help the community move toward more consistent variant classifications, which will improve the care of patients with, or at risk for, genetic disorders.
Subject(s)
Databases, Genetic , Genetic Testing/methods , Genetic Variation/genetics , Genome, Human/genetics , HumansABSTRACT
PurposeThe advent of next-generation sequencing resulted in substantial increases in the number of variants detected, interpreted, and reported by molecular genetics diagnostic laboratories. Recent publications have provided standards for the interpretation of sequence variants, but there are currently no standards regarding reinterpretation of these variants. Recognizing that significant changes in variant classification may occur over time, many genetics diagnostic laboratories have independently developed practices for variant reinterpretation. The purpose of this study is to describe our laboratory approach to variant reinterpretation.MethodsWe surveyed eight genetics diagnostic laboratories in Canada and the United States.ResultsEach laboratory had differing protocols, but most felt that clinically relevant changes to variant classifications should be communicated to ordering providers. Based on results of this survey and our experience, we developed a cost-effective and resource-efficient approach to variant reinterpretation.ConclusionOngoing variant reinterpretation is required to maintain the highest standards for delivering genetics laboratory services. Our approach to variant reinterpretation offers an efficient solution that does not compromise accuracy or timely delivery of genetics laboratory services.
Subject(s)
Genetic Variation , Molecular Sequence Annotation/standards , Canada , Communication , Genetic Association Studies/methods , Genetic Association Studies/standards , Genetic Predisposition to Disease , Genetic Testing/standards , Guidelines as Topic , Health Care Surveys , Humans , Laboratories , United States , WorkflowABSTRACT
PurposeThe purpose of this study was to develop a national program for Canadian diagnostic laboratories to compare DNA-variant interpretations and resolve discordant-variant classifications using the BRCA1 and BRCA2 genes as a case study.MethodsBRCA1 and BRCA2 variant data were uploaded and shared through the Canadian Open Genetics Repository (COGR; http://www.opengenetics.ca). A total of 5,554 variant observations were submitted; classification differences were identified and comparison reports were sent to participating laboratories. Each site had the opportunity to reclassify variants. The data were analyzed before and after the comparison report process to track concordant- or discordant-variant classifications by three different models.ResultsVariant-discordance rates varied by classification model: 38.9% of variants were discordant when using a five-tier model, 26.7% with a three-tier model, and 5.0% with a two-tier model. After the comparison report process, the proportion of discordant variants dropped to 30.7% with the five-tier model, to 14.2% with the three-tier model, and to 0.9% using the two-tier model.ConclusionWe present a Canadian interinstitutional quality improvement program for DNA-variant interpretations. Sharing of variant knowledge by clinical diagnostic laboratories will allow clinicians and patients to make more informed decisions and lead to better patient outcomes.
Subject(s)
Data Accuracy , Genetic Testing/standards , Information Dissemination , Quality Improvement , Canada , Clinical Decision-Making , Databases, Genetic , Genes, BRCA1 , Genes, BRCA2 , Genetic Counseling , Genetic Testing/methods , Genetic Variation , Government Programs , Humans , Reproducibility of Results , WorkflowABSTRACT
BACKGROUND: A homozygous loss-of-function mutation p.(Arg316Gln) in the fat mass and obesity-associated (FTO) gene, which encodes for an iron and 2-oxoglutarate-dependent oxygenase, was previously identified in a large family in which nine affected individuals present with a lethal syndrome characterised by growth retardation and multiple malformations. To date, no other pathogenic mutation in FTO has been identified as a cause of multiple congenital malformations. METHODS: We investigated a 21-month-old girl who presented distinctive facial features, failure to thrive, global developmental delay, left ventricular cardiac hypertrophy, reduced vision and bilateral hearing loss. We performed targeted next-generation sequencing of 4813 clinically relevant genes in the patient and her parents. RESULTS: We identified a novel FTO homozygous missense mutation (c.956C>T; p.(Ser319Phe)) in the affected individual. This mutation affects a highly conserved residue located in the same functional domain as the previously characterised mutation p.(Arg316Gln). Biochemical studies reveal that p.(Ser319Phe) FTO has reduced 2-oxoglutarate turnover and N-methyl-nucleoside demethylase activity. CONCLUSION: Our findings are consistent with previous reports that homozygous mutations in FTO can lead to rare growth retardation and developmental delay syndrome, and further support the proposal that FTO plays an important role in early development of human central nervous and cardiovascular systems.
Subject(s)
Developmental Disabilities/genetics , Mutation, Missense , Proteins/genetics , Alpha-Ketoglutarate-Dependent Dioxygenase FTO , Female , Genetic Predisposition to Disease , High-Throughput Nucleotide Sequencing , Humans , InfantABSTRACT
BACKGROUND: Rare diseases often present in the first days and weeks of life and may require complex management in the setting of a neonatal intensive care unit (NICU). Exhaustive consultations and traditional genetic or metabolic investigations are costly and often fail to arrive at a final diagnosis when no recognizable syndrome is suspected. For this pilot project, we assessed the feasibility of next-generation sequencing as a tool to improve the diagnosis of rare diseases in newborns in the NICU. METHODS: We retrospectively identified and prospectively recruited newborns and infants admitted to the NICU of the Children's Hospital of Eastern Ontario and the Ottawa Hospital, General Campus, who had been referred to the medical genetics or metabolics inpatient consult service and had features suggesting an underlying genetic or metabolic condition. DNA from the newborns and parents was enriched for a panel of clinically relevant genes and sequenced on a MiSeq sequencing platform (Illumina Inc.). The data were interpreted with a standard informatics pipeline and reported to care providers, who assessed the importance of genotype-phenotype correlations. RESULTS: Of 20 newborns studied, 8 received a diagnosis on the basis of next-generation sequencing (diagnostic rate 40%). The diagnoses were renal tubular dysgenesis, SCN1A-related encephalopathy syndrome, myotubular myopathy, FTO deficiency syndrome, cranioectodermal dysplasia, congenital myasthenic syndrome, autosomal dominant intellectual disability syndrome type 7 and Denys-Drash syndrome. INTERPRETATION: This pilot study highlighted the potential of next-generation sequencing to deliver molecular diagnoses rapidly with a high success rate. With broader use, this approach has the potential to alter health care delivery in the NICU.
Subject(s)
Genetic Association Studies/methods , Genetic Testing/methods , High-Throughput Nucleotide Sequencing , Intensive Care Units, Neonatal , Rare Diseases/diagnosis , Rare Diseases/genetics , Female , Humans , Infant, Newborn , Male , Mutation , Ontario , Pilot Projects , Prospective Studies , Retrospective StudiesABSTRACT
We present the investigation and management of a premature, hypotensive neonate born after a pregnancy complicated by anhydramnios to highlight the impact of early and informed management for rare kidney disease. Vasopressin was used to successfully treat refractory hypotension and anuria in the neonate born at 27 weeks of gestation. Next generation sequencing of a targeted panel of genes was then performed in the neonate and parents. Subsequently, two compound heterozygous deletions leading to frameshift mutations were identified in the angiotensin 1-converting enzyme gene ACE; exon 5:c.820_821delAG (p.Arg274Glyfs*117) and exon24: c.3521delG (p.Gly1174Alafs*12), consistent with a diagnosis of renal tubular dysgenesis. In light of the molecular diagnosis, identification, and treatment of associated low aldosterone level resulted in further improvement in renal function and only mild residual chronic renal failure is present at 14 months of age. Truncating alterations in ACE most often result in fetal demise during gestation or in the first days of life and typically as a result of the Potter sequence. The premature delivery, and serendipitous early treatment with vasopressin, and then later fludrocortisone, resulted in an optimal outcome in an otherwise lethal condition.
Subject(s)
Anuria/drug therapy , Hypotension/drug therapy , Infant, Premature/physiology , Peptidyl-Dipeptidase A/genetics , Vasopressins/therapeutic use , Adult , Anuria/genetics , Anuria/pathology , Base Sequence , Female , Fludrocortisone/therapeutic use , Frameshift Mutation/genetics , Gene Deletion , High-Throughput Nucleotide Sequencing , Humans , Hypotension/genetics , Hypotension/pathology , Infant, Newborn , Kidney Tubules, Proximal/abnormalities , Kidney Tubules, Proximal/pathology , Molecular Sequence Data , Pregnancy , Treatment Outcome , Urogenital Abnormalities/genetics , Urogenital Abnormalities/pathologyABSTRACT
With the exponential reduction of the cost of next-generation sequencing (NGS), it is no longer the generation of data but the analysis and interpretation of massive amounts of sequencing data that are seen as key challenges for the effective integration of these technologies into clinical practice. Clinical geneticists, informaticians, and scientists from 17 countries gathered for the 12th International Symposium on Mutation in the Genome at the Fairmont Chateau Lake Louise (Canada) to discuss technological advances and applications of NGS and consider possible approaches to the challenges of clinical translation. Here, we provide an overview of the main themes of the meeting that included development of innovative solutions for variant sharing, tools and resources for NGS analysis, novel technology and methodology development, NGS-based discovery of disease pathogenesis, development of multigene NGS sequencing panels for clinical use, exploring diagnostic utility of whole-exome and whole-genome sequencing, and, finally, integration of genomic sequencing into the clinic.
Subject(s)
Genomics/methods , High-Throughput Nucleotide Sequencing/methods , Sequence Analysis, DNA , Translational Research, Biomedical , Databases, Genetic , Genetic Variation , Genome, Human , High-Throughput Nucleotide Sequencing/economics , HumansABSTRACT
Background: Hypertrophic cardiomyopathy (HCM) is an inherited cardiac condition affecting ~1 in 500 and exhibits marked genetic heterogeneity. Previously published in 2019, 57 HCM-associated genes were curated providing the first systematic evaluation of gene-disease validity. Here we report work by the ClinGen Hereditary Cardiovascular Disorders Gene Curation Expert Panel (HCVD-GCEP) to reappraise the clinical validity of previously curated and new putative HCM genes. Methods: The ClinGen systematic gene curation framework was used to re-classify the gene-disease relationships for HCM and related syndromic entities involving left ventricular hypertrophy. Genes previously curated were included if their classification was not definitive, and if the time since curation was >2-3 years. New genes with literature assertions for HCM were included for initial evaluation. Existing genes were curated for new inheritance patterns where evidence existed. Curations were presented on twice monthly calls, with the HCVD-GCEP composed of 29 individuals from 21 institutions across 6 countries. Results: Thirty-one genes were re-curated and an additional 5 new potential HCM-associated genes were curated. Among the re-curated genes, 17 (55%) genes changed classification: 1 limited and 4 disputed (from no known disease relationship), 9 disputed (from limited), and 3 definitive (from moderate). Among these, 3 (10%) genes had a clinically relevant upgrade, including TNNC1, a 9th sarcomere gene with definitive HCM association. With new evidence, two genes were curated for multiple inheritance patterns (TRIM63, disputed for autosomal dominant but moderate for autosomal recessive; ALPK3, strong for autosomal dominant and definitive for recessive). CSRP3 was curated for a semi-dominant mode of inheritance (definitive). Nine (29%) genes were downgraded to disputed, further discouraging clinical reporting of variants in these genes. Five genes recently reported to cause HCM were curated: RPS6KB1 and RBM20 (limited), KLHL24 and MT-TI (moderate), and FHOD3 (definitive). Conclusions: We report 29 genes with definitive, strong or moderate evidence of causation for HCM or isolated LVH, including sarcomere, sarcomere-associated and syndromic conditions.
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PURPOSE: Although costly, genome-wide sequencing (GWS) detects an extensive range of variants, enhancing our ability to diagnose and assess risk for an increasing number of diseases. In addition to detecting variants related to the indication for testing, GWS can detect secondary variants in BRCA1, BRCA2, and other genes for which early intervention may improve health. As the list of secondary findings grows, there is increased demand for surveillance and management by multiple specialists, adding pressure to constrained health care budgets. Secondary finding testing is actively debated because some consider it opportunistic screening for future health risks that may not manifest. Given the economic implications of secondary finding testing and follow-up and its unproven clinical utility, the objective is to assess the incremental cost-effectiveness of secondary finding ascertainment per case detected and per unit of improved clinical utility in families of children with unexplained suspected genetic conditions undergoing clinical GWS. METHODS: Those undergoing trio genome or exome sequencing are eligible for the study. Positive secondary finding index cases will be matched to negative controls (1:2) based on age group, primary result(s) type, and clinical indication. During the 2-year study, 71 cases and 142 matched controls are expected. Health service use will be collected in patients and 1 adult family member every 6 months. The per-child and per-dyad total cost will be determined by multiplying use of each resource by a corresponding unit price and summing all cost items. Costs will be estimated from the public and societal payer perspectives. The mean cost per child and per dyad for secondary finding-positive and secondary finding-negative groups will be compared statistically. If important demographic differences are observed between groups, ordinary least-squares regression, log transformation, or other nonparametric technique will be used to compare adjusted mean costs. The ratio of the difference in mean cost to the secondary finding yield will be used to estimate incremental cost-effectiveness. In secondary analyses, effectiveness will be estimated using the number of clinical management changes due to secondary findings or the Clinician-Reported Genetic Testing Utility Index (C-GUIDE) score, a validated measure of clinical utility. Sensitivity analysis will be undertaken to assess the robustness of the findings to variation in key parameters. IMPLICATIONS: This study generates key evidence to inform clinical practice and funding allocation related to secondary finding testing. The inclusion of family members and a new measure of clinical utility represent important advancements in economic evaluation in genomics.
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Background and Objectives: Coenzyme Q10 (CoQ10) is an important electron carrier and antioxidant. The COQ7 enzyme catalyzes the hydroxylation of 5-demethoxyubiquinone-10 (DMQ10), the second-to-last step in the CoQ10 biosynthesis pathway. We report a consanguineous family presenting with a hereditary motor neuropathy associated with a homozygous c.1A > G p.? variant of COQ7 with abnormal CoQ10 biosynthesis. Methods: Affected family members underwent clinical assessments that included nerve conduction testing, histologic analysis, and MRI. Pathogenicity of the COQ7 variant was assessed in cultured fibroblasts and skeletal muscle using a combination of immunoblots, respirometry, and quinone analysis. Results: Three affected siblings, ranging from 12 to 24 years of age, presented with a severe length-dependent motor neuropathy with marked symmetric distal weakness and atrophy with normal sensation. Muscle biopsy of the quadriceps revealed chronic denervation pattern. An MRI examination identified moderate to severe fat infiltration in distal muscles. Exome sequencing demonstrated the homozygous COQ7 c.1A > G p.? variant that is expected to bypass the first 38 amino acid residues at the n-terminus, initiating instead with methionine at position 39. This is predicted to cause the loss of the cleavable mitochondrial targeting sequence and 2 additional amino acids, thereby preventing the incorporation and subsequent folding of COQ7 into the inner mitochondrial membrane. Pathogenicity of the COQ7 variant was demonstrated by diminished COQ7 and CoQ10 levels in muscle and fibroblast samples of affected siblings but not in the father, unaffected sibling, or unrelated controls. In addition, fibroblasts from affected siblings had substantial accumulation of DMQ10, and maximal mitochondrial respiration was impaired in both fibroblasts and muscle. Discussion: This report describes a new neurologic phenotype of COQ7-related primary CoQ10 deficiency. Novel aspects of the phenotype presented by this family include pure distal motor neuropathy involvement, as well as the lack of upper motor neuron features, cognitive delay, or sensory involvement in comparison with cases of COQ7-related CoQ10 deficiency previously reported in the literature.
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Background: As availability of genomic testing grows, variant interpretation will increasingly be performed by genomic generalists, rather than domain-specific experts. Demand is rising for laboratories to accurately classify variants in inherited cardiac condition (ICC) genes, including as secondary findings. Methods: We analyse evidence for inheritance patterns, allelic requirement, disease mechanism and disease-relevant variant classes for 65 ClinGen-curated ICC gene-disease pairs. We present this information for the first time in a structured dataset, CardiacG2P, and assess application in genomic variant filtering. Results: For 36/65 gene-disease pairs, loss-of-function is not an established disease mechanism, and protein truncating variants are not known to be pathogenic. Using CardiacG2P as an initial variant filter allows for efficient variant prioritisation whilst maintaining a high sensitivity for retaining pathogenic variants compared with two other variant filtering approaches. Conclusions: Access to evidence-based structured data representing disease mechanism and allelic requirement aids variant filtering and analysis and is pre-requisite for scalable genomic testing.
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BACKGROUND: As the availability of genomic testing grows, variant interpretation will increasingly be performed by genomic generalists, rather than domain-specific experts. Demand is rising for laboratories to accurately classify variants in inherited cardiac condition (ICC) genes, including secondary findings. METHODS: We analyse evidence for inheritance patterns, allelic requirement, disease mechanism and disease-relevant variant classes for 65 ClinGen-curated ICC gene-disease pairs. We present this information for the first time in a structured dataset, CardiacG2P, and assess application in genomic variant filtering. RESULTS: For 36/65 gene-disease pairs, loss of function is not an established disease mechanism, and protein truncating variants are not known to be pathogenic. Using the CardiacG2P dataset as an initial variant filter allows for efficient variant prioritisation whilst maintaining a high sensitivity for retaining pathogenic variants compared with two other variant filtering approaches. CONCLUSIONS: Access to evidence-based structured data representing disease mechanism and allelic requirement aids variant filtering and analysis and is a pre-requisite for scalable genomic testing.
Subject(s)
Genetic Testing , Genetic Variation , Humans , Databases, Genetic , Genomics , Inheritance PatternsABSTRACT
With the successful identification of many protein-coding genes, the focus has now shifted toward deciphering functions of non-protein-coding regions that direct spatiotemporal and quantitative aspects of protein expression. Recent advances in our understanding of the regulatory architecture of the human genome coincide with growing evidence that changes in regulatory sequences are associated with human disease. Several recent reviews have highlighted disease-causing potential of aberrations in transcriptional and splicing regulatory elements as well as non-protein-coding RNA. Although changes in regulatory sequences generally produce milder biological effects than their protein-coding counterparts, many act as independent risk factors for common complex disorders or as genetic modifiers for "primary" disease-causing loci. Here, we review bioinformatics and experimental approaches that are used to identify regulatory sequences and assess pathogenicity of regulatory changes. We describe the current state of knowledge on disease-causing changes in regulatory sequences, challenge protein-centric views, and discuss complexities and solutions pertaining to the interpretation of regulatory changes in the next-generation sequencing era.
Subject(s)
Pathology, Molecular/methods , Regulatory Sequences, Nucleic Acid/genetics , Genome, Human/genetics , Humans , Sequence Analysis, DNA/methodsABSTRACT
Nablus mask-like facial syndrome (NMLFS) has many distinctive phenotypic features, particularly tight glistening skin with reduced facial expression, blepharophimosis, telecanthus, bulky nasal tip, abnormal external ear architecture, upswept frontal hairline, and sparse eyebrows. Over the last few years, several individuals with NMLFS have been reported to have a microdeletion of 8q21.3q22.1, demonstrated by microarray analysis. The minimal overlapping region is 93.98-96.22 Mb (hg19). Here we present clinical and microarray data from five singletons and two mother-child pairs who have heterozygous deletions significantly overlapping the region associated with NMLFS. Notably, while one mother and child were said to have mild tightening of facial skin, none of these individuals exhibited reduced facial expression or the classical facial phenotype of NMLFS. These findings indicate that deletion of the 8q21.3q22.1 region is necessary but not sufficient for development of the NMLFS. We discuss possible genetic mechanisms underlying the complex pattern of inheritance for this condition.