Loss-of-Function and Gain-of-Function Mutations in KCNQ5 Cause Intellectual Disability or Epileptic Encephalopathy
Anna LehmanSamrat ThoutaGrazia M.S. ManciniSakkubai NaiduMarjon van SlegtenhorstKirsty McWalterRichard PersonJill MwenifumboRamona SalvarinovaIlaria GuellaMarna B. McKenzieAnita DattaMary ConnollySomayeh Mojard KalkhoranDamon PoburkoJan M. FriedmanMatthew J. FarrerMichelle DemosSonal DesaiTom W. ClaydonShelin AdamChristèle du SouichAlison M. ElliottAnna LehmanJill MwenifumboTanya N. NelsonClara van KarnebeekJan M. FriedmanShelin AdamCyrus BoelmanCorneliu BolboceanSarah E. BuerkiTara CandidoPatrice EydouxDaniel M. EvansWilliam T. GibsonGabriella HorváthLinda HuhTanya N. NelsonGraham SinclairTamsin TarlingEric B. ToyotaKatelin N. TownsendMargot I. Van AllenClara van KarnebeekSuzanne Vercauteren
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Loss function
Gain of function
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Abstract In the clinical setting, exome sequencing has become standard-of-care in diagnosing rare genetic disorders, however many patients remain unsolved. Trio sequencing has been demonstrated to produce a higher diagnostic yield than singleton (proband-only) sequencing. Parental sequencing is especially useful when a disease is suspected to be caused by a de novo variant in the proband, because parental data provide a strong filter for the majority of variants that are shared by the proband and their parents. However the additional cost of sequencing the parents makes the trio strategy uneconomical for many clinical situations. With two thirds of the sequencing budget being spent on parents, these are funds that could be used to sequence more probands. For this reason many clinics are reluctant to sequence parents. Here we propose a pooled-parent strategy for exome sequencing of individuals with likely de novo disease. In this strategy, DNA from all the parents of a cohort of unrelated probands is pooled together into a single exome capture and sequencing run. Variants called in the proband can then be filtered if they are also found in the parent pool, resulting in a shorter list of prioritised variants. To evaluate the pooled-parent strategy we performed a series of simulations by combining reads from individual exomes to imitate sample pooling. We assessed the recall and false positive rate and investigated the trade-off between pool size and recall rate. We compared the performance of GATK HaplotypeCaller individual and joint calling, and FreeBayes to genotype pooled samples. Finally, we applied a pooled-parent strategy to a set of real unsolved cases and showed that the parent pool is a powerful filter that is complementary to other commonly used variant filters such as population variant frequencies.
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Intellectual disability (ID) represents a neurodevelopmental disorder, which is characterized by marked defects in the intellectual function and adaptive behavior, with an onset during the developmental period. ID is mainly caused by genetic factors, and it is extremely genetically heterogeneous. This study aims to identify the genetic cause of ID using trio-WES analysis.We recruited four pediatric patients with unexplained ID from non-consanguineous families, who presented at the Department of Pediatrics, Guizhou Provincial People's Hospital. Whole-exome sequencing (WES) and Sanger sequencing validation were performed in the patients and their unaffected parents. Furthermore, conservative analysis and protein structural and functional prediction were performed on the identified pathogenic variants.We identified five novel de novo mutations from four known ID-causing genes in the four included patients, namely COL4A1 (c.2786T>A, p.V929D and c.2797G>A, p.G933S), TBR1 (c.1639_1640insCCCGCAGTCC, p.Y553Sfs*124), CHD7 (c.7013A>T, p.Q2338L), and TUBA1A (c.1350del, p.E450Dfs*34). These mutations were all predicted to be deleterious and were located at highly conserved domains that might affect the structure and function of these proteins.Our findings contribute to expanding the mutational spectrum of ID-related genes and help to deepen the understanding of the genetic causes and heterogeneity of ID.
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Exome sequencing has greatly impacted the speed at which new disease genes are identified. In the last year alone, six studies have used exome sequencing to identify new genes involved in intellectual disability, a genetically heterogeneous condition affecting 1-3% of the population. These studies encompass the full gamut of modes of inheritance and phenotypic presentation, including syndromic and non-syndromic conditions, sporadic and familial cases, and dominant and recessive inheritance patterns. Because different disease presentations require different approaches to gene discovery, studies of intellectual disability provide a nearly comprehensive showcase of strategies for exome-driven gene discovery. Despite these successes, the etiology of ~60% of cases of intellectual disability remains unknown. The application of exome sequencing to the clinical diagnosis of intellectual disability in the near future will ultimately reduce the number of idiopathic cases and provide a rich source of sequence variation for the identification of new intellectual disability genes.
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Abstract Purpose EVIDENCE, an automated interpretation system, has been developed to facilitate the entire process of whole exome sequencing (WES) analyses. This study investigated the diagnostic yield of EVIDENCE in patients suspected genetic disorders. Methods DNA from 330 probands (age range, 0–68 years) with suspected genetic disorders were subjected to WES. Candidate variants were identified by EVIDENCE and confirmed by testing family members and/or clinical reassessments. Results The average number of overlapping organ categories per patient was 4.5 ± 5.0. EVIDENCE reported a total 244 variants in 215 (65.1%) of the 330 probands. After clinical reassessment and/or family member testing, 196 variants were identified in 171 probands (51.8%), including 115 novel variants. These variants were confirmed as being responsible for 146 genetic disorders. One hundred-seven (54.6%) of the 196 variants were categorized as pathogenic or likely pathogenic before, and 146 (74.6%) after, clinical assessment and/or family member testing. Factors associated with a variant being confirmed as causative include rules, such as PVS1, PS1, PM1, PM5, and PP5, and similar symptom scores between that variant and a patient’s phenotype. Conclusion This new, automated variant interpretation system facilitated the diagnosis of various genetic diseases with a 51% improvement in diagnostic yield.
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Understanding the genetic basis of developmental delay (DD) and intellectual disability (ID) remains a considerable clinical challenge. This study evaluated the clinical application of trio whole exome sequencing (WES) in children diagnosed with DD/ID. The study comprised 173 children with unexplained DD/ID. The participants underwent trio-WES and their demographic, clinical, and genetic characteristics were evaluated. Based on their clinical features, the participants were classified into two groups for further analysis: a syndromic DD/ID group and a non-syndromic DD/ID group. The genetic diagnostic yield of the 173 children diagnosed with DD/ID was 49.7% (86/173). This included 58 pathogenic or likely pathogenic single nucleotide variants (SNVs) in 41 genes identified across 54 individuals (31.2%) through trio-WES. Among these, 22 SNVs had not been previously reported. Additionally, 30 copy number variations (CNVs) were detected in 36 individuals (20.8%). The diagnostic yield in the syndromic DD/ID group was higher than that in the non-syndromic DD/ID group (57.8% vs. 47.2%, P < 0.001). Within the syndromic DD/ID subgroup, the diagnostic yield of the DD/ID with epilepsy subgroup (83.9%) was significantly higher than those of the other subgroups (P < 0.001). Based on the analysis of the individuals' clinical phenotypes, the individuals with facial dysmorphism shown a higher diagnostic yield (68.2%, P < 0.001). The diagnostic yield of SNVs was higher in the individuals with DD/ID accompanied by epilepsy, whereas the diagnostic yield of CNVs was higher in the DD/ID without epilepsy group. Similarly, the diagnostic yield of de novo SNVs was higher in the DD/ID with epilepsy group, while the diagnostic yield of de novo CNVs was higher in the DD/ID without epilepsy group (all P < 0.001). Trio-WES is a crucial tool for the genetic diagnosis of DD/ID, demonstrating a diagnostic yield of up to 49.7%. De novo variants in autosomal dominant genes are significant contributors to DD/ID, particularly in non-consanguineous families.
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Investigating novel genetic variants involved in intellectual disability (ID) development is essential. X-linked intellectual disability (XLID) accounts for over 10% of all cases of ID in males. XLID genes are involved in many cellular pathways and processes. Some of them are not specific to the development and functioning of the neural system. The implementation of exome sequencing simplifies the search for novel variants, especially those less expected. Here, we describe a nonsense variant of the XLID gene, WDR13. The mutation c.757C>T (p.Arg253Ter) was uncovered by X-chromosome exome sequencing in males with a familial form of intellectual disability. Quantitative PCR (qPCR) analysis showed that variant c.757C>T caused a significant decrease in WDR13 expression in the patient's fibroblast. Moreover, it dysregulated other genes linked to intellectual disability, such as FMR1, SYN1, CAMK2A, and THOC2. The obtained results indicate the pathogenic nature of the detected variant and suggest that the WDR13 gene interacts with other genes essential for the functioning of the nervous system, especially the synaptic plasticity process.
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The recent advent of exome sequencing has allowed for the identification of pathogenic gene variants responsible for a variety of diseases that were previously clinically diagnosed, with no underlying molecular etiology.Among these conditions, intellectual disability is a prevalent heterogeneous condition, presenting itself in a large spectrum of intensity, in some cases associated with congenital malformations, behavioral and various other intellectual development alterations.Here we report on a 36-year-old male patient, with a mild intellectual disability that remained undiagnosed at the molecular level for all his life.Using Nextera Exome Sequencing, a Chr3:9.517.294A>AC (c.3848_3849insC) SETD5 gene insertion was found.This rare variant was classified as likely pathogenic due to its frameshift nature in the gene, in which loss-of-function mutations have been previously reported to cause intellectual disability, as well as a 3p25.3microdeletion phenotype.It is possible that this variant shows partial activity, due to its gene localization, which would explain the patient's mild phenotype when compared with other reports.
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