scholarly journals Genomically Aided Diagnosis of Severe Developmental Disorders

2020 ◽  
Vol 21 (1) ◽  
pp. 327-349
Author(s):  
David R. FitzPatrick ◽  
Helen V. Firth
Keyword(s):  
Developmental Disorders ◽  
De Novo ◽  
De Novo Mutation ◽  
Coding Region ◽  
Diagnostic Interpretation ◽  
Sequencing Technologies ◽  
Long Run ◽  
Phenotype Data ◽  
Outbred Populations ◽  
Aided Diagnosis

Our ability to make accurate and specific genetic diagnoses in individuals with severe developmental disorders has been transformed by data derived from genomic sequencing technologies. These data reveal both the patterns and rates of different mutational mechanisms and identify regions of the human genome with fewer mutations than would be expected. In outbred populations, the most common identifiable cause of severe developmental disorders is de novo mutation affecting the coding region in one of approximately 500 different genes, almost universally showing constraint. Simply combining the location of a de novo genomic event with its predicted consequence on the gene product gives significant diagnostic power. Our knowledge of the diversity of phenotypic consequences associated with comparable diagnostic genotypes at each locus is improving. Computationally useful phenotype data will improve diagnostic interpretation of ultrarare genetic variants and, in the long run, indicate which specific embryonic processes have been perturbed.

scholarly journals SLC12A2 variants cause a neurodevelopmental disorder or cochleovestibular defect

Brain ◽  
2020 ◽  
Vol 143 (8) ◽  
pp. 2380-2387 ◽  
Author(s):  
Alisdair McNeill ◽  
Emanuela Iovino ◽  
Luke Mansard ◽  
Christel Vache ◽  
David Baux ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Sensorineural Hearing Loss ◽  
Developmental Disorders ◽  
De Novo ◽  
Neurodevelopmental Disorder ◽  
Sensorineural Deafness ◽  
Sensorineural Hearing ◽  
De Novo Mutation ◽  
Xenopus Laevis Oocytes ◽  
De Novo Mutations

Abstract The SLC12 gene family consists of SLC12A1–SLC12A9, encoding electroneutral cation-coupled chloride co-transporters. SCL12A2 has been shown to play a role in corticogenesis and therefore represents a strong candidate neurodevelopmental disorder gene. Through trio exome sequencing we identified de novo mutations in SLC12A2 in six children with neurodevelopmental disorders. All had developmental delay or intellectual disability ranging from mild to severe. Two had sensorineural deafness. We also identified SLC12A2 variants in three individuals with non-syndromic bilateral sensorineural hearing loss and vestibular areflexia. The SLC12A2 de novo mutation rate was demonstrated to be significantly elevated in the deciphering developmental disorders cohort. All tested variants were shown to reduce co-transporter function in Xenopus laevis oocytes. Analysis of SLC12A2 expression in foetal brain at 16–18 weeks post-conception revealed high expression in radial glial cells, compatible with a role in neurogenesis. Gene co-expression analysis in cells robustly expressing SLC12A2 at 16–18 weeks post-conception identified a transcriptomic programme associated with active neurogenesis. We identify SLC12A2 de novo mutations as the cause of a novel neurodevelopmental disorder and bilateral non-syndromic sensorineural hearing loss and provide further data supporting a role for this gene in human neurodevelopment.

scholarly journals Customized de novo mutation detection for any variant calling pipeline: SynthDNM

2021 ◽  
Author(s):  
Aojie Lian ◽  
James Guevara ◽  
Kun Xia ◽  
Jonathan Sebat
Keyword(s):  
Mutation Detection ◽  
De Novo ◽  
Variant Calling ◽  
Real Data ◽  
Supplementary Information ◽  
De Novo Mutation ◽  
Flexible Approach ◽  
Sequencing Technologies ◽  
Training Examples ◽  
Simulated Training

Abstract Motivation As sequencing technologies and analysis pipelines evolve, de novo mutation (DNM) calling tools must be adapted. Therefore, a flexible approach is needed that can accurately identify DNMs from genome or exome sequences from a variety of datasets and variant calling pipelines. Results Here, we describe SynthDNM, a random-forest based classifier that can be readily adapted to new sequencing or variant-calling pipelines by applying a flexible approach to constructing simulated training examples from real data. The optimized SynthDNM classifiers predict de novo SNPs and indels with robust accuracy across multiple methods of variant calling. Availabilityand implementation SynthDNM is freely available on Github (https://github.com/james-guevara/synthdnm). Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Prevalence, phenotype and architecture of developmental disorders caused by de novo mutation: The Deciphering Developmental Disorders Study

2016 ◽  
Author(s):  
Jeremy F McRae ◽  
Stephen Clayton ◽  
Tomas W Fitzgerald ◽  
Joanna Kaplanis ◽  
Elena Prigmore ◽  
...  
Keyword(s):  
Developmental Disorders ◽  
De Novo ◽  
Phenotypic Diversity ◽  
Diagnostic Yield ◽  
Dominant Negative ◽  
De Novo Mutation ◽  
Published Data ◽  
Loss Of Function ◽  
Single Nucleotide Variants ◽  
Birth Prevalence

AbstractIndividuals with severe, undiagnosed developmental disorders (DDs) are enriched for damaging de novo mutations (DNMs) in developmentally important genes. We exome sequenced 4,293 families with individuals with DDs, and meta-analysed these data with published data on 3,287 individuals with similar disorders. We show that the most significant factors influencing the diagnostic yield of de novo mutations are the sex of the affected individual, the relatedness of their parents and the age of both father and mother. We identified 94 genes enriched for damaging de novo mutation at genome-wide significance (P < 7 × 10−7), including 14 genes for which compelling data for causation was previously lacking. We have characterised the phenotypic diversity among these genetic disorders. We demonstrate that, at current cost differentials, exome sequencing has much greater power than genome sequencing for novel gene discovery in genetically heterogeneous disorders. We estimate that 42% of our cohort carry pathogenic DNMs (single nucleotide variants and indels) in coding sequences, with approximately half operating by a loss-of-function mechanism, and the remainder resulting in altered-function (e.g. activating, dominant negative). We established that most haplo insufficient developmental disorders have already been identified, but that many altered-function disorders remain to be discovered. Extrapolating from the DDD cohort to the general population, we estimate that developmental disorders caused by DNMs have an average birth prevalence of 1 in 213 to 1 in 448 (0.22-0.47% of live births), depending on parental age.AbbreviationsPTVProtein-Truncating VariantDNMDe Novo MutationDDDevelopmental DisorderDDDDeciphering Developmental Disorders study

scholarly journals Germline and somatic mutations in STXBP1 with diverse neurodevelopmental phenotypes

2017 ◽  
Vol 3 (6) ◽  
pp. e199 ◽  
Author(s):  
Mohammed Uddin ◽  
Marc Woodbury-Smith ◽  
Ada Chan ◽  
Ledia Brunga ◽  
Sylvia Lamoureux ◽  
...  
Keyword(s):  
Brain Tissue ◽  
De Novo ◽  
Focal Cortical Dysplasia ◽  
Autism Spectrum ◽  
Epileptic Encephalopathy ◽  
De Novo Mutation ◽  
Chromosomal Microarray ◽  
Published Data ◽  
De Novo Mutations ◽  
Coding Region

Objective:To expand the clinical phenotype associated with STXBP1 gene mutations and to understand the effect of STXBP1 mutations in the pathogenesis of focal cortical dysplasia (FCD).Methods:Patients with STXBP1 mutations were identified in various ways: as part of a retrospective cohort study of epileptic encephalopathy; through clinical referrals of individuals (10,619) with developmental delay (DD) for chromosomal microarray; and from a collection of 5,205 individuals with autism spectrum disorder (ASD) examined by whole-genome sequencing.Results:Seven patients with heterozygous de novo mutations affecting the coding region of STXBP1 were newly identified. Three cases had radiologic evidence suggestive of FCD. One male patient with early infantile epileptic encephalopathy, DD, and ASD achieved complete seizure remission following resection of dysplastic brain tissue. Examination of excised brain tissue identified mosaicism for STXBP1, providing evidence for a somatic mechanism. Cell-type expression analysis suggested neuron-specific expression. A comprehensive analysis of the published data revealed that 3.1% of severe epilepsy cases carry a pathogenic de novo mutation within STXBP1. By contrast, ASD was rarely associated with mutations in this gene in our large cohorts.Conclusions:STXBP1 mutations are an important cause of epilepsy and are also rarely associated with ASD. In a case with histologically proven FCD, an STXBP1 somatic mutation was identified, suggesting a role in its etiology. Removing such tissue may be curative for STXBP1-related epilepsy.

scholarly journals Customized de novo mutation detection for any variant calling pipeline: SynthDNM

2021 ◽  
Author(s):  
Aojie Lian ◽  
James Guevara ◽  
Kun Xia ◽  
Jonathan Sebat
Keyword(s):  
De Novo ◽  
Variant Calling ◽  
Real Data ◽  
Supplementary Information ◽  
De Novo Mutation ◽  
De Novo Mutations ◽  
Flexible Approach ◽  
Sequencing Technologies ◽  
Training Examples ◽  
Simulated Training

AbstractMotivationAs sequencing technologies and analysis pipelines evolve, DNM calling tools must be adapted. Therefore, a flexible approach is needed that can accurately identify de novo mutations from genome or exome sequences from a variety of datasets and variant calling pipelines.ResultsHere, we describe SynthDNM, a random-forest based classifier that can be readily adapted to new sequencing or variant-calling pipelines by applying a flexible approach to constructing simulated training examples from real data. The optimized SynthDNM classifiers predict de novo SNPs and indels with robust accuracy across multiple methods of variant calling.AvailabilitySynthDNM is freely available on Github (https://github.com/james-guevara/synthdnm)[email protected] informationSupplementary data are available at Bioinformatics online.

scholarly journals Tatton-Brown-Rahman syndrome with a novel DNMT3A mutation presented severe intellectual disability and autism spectrum disorder

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Takayuki Yokoi ◽  
Yumi Enomoto ◽  
Takuya Naruto ◽  
Kenji Kurosawa ◽  
Norimichi Higurashi
Keyword(s):  
Autism Spectrum Disorder ◽  
Intellectual Disability ◽  
Developmental Disorders ◽  
De Novo ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
De Novo Mutation ◽  
Facial Features ◽  
Severe Intellectual Disability ◽  
Dominant Disease

AbstractTatton-Brown-Rahman syndrome is a congenital anomaly syndrome that manifests with overgrowth, macrocephaly, and characteristic facial features. This autosomal dominant disease is caused by a germline mutation in DNMT3A. Some patients with this syndrome develop mild to severe intellectual disability, which is sometimes accompanied by autism spectrum disorder or other developmental disorders. We report a Japanese patient with severe intellectual disability and autism spectrum disorder with a de novo mutation in the active domain of DNMT3A.

scholarly journals Intranasal oxytocin administration ameliorates social behavioral deficits in a POGZWT/Q1038R mouse model of autism spectrum disorder

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Kohei Kitagawa ◽  
Kensuke Matsumura ◽  
Masayuki Baba ◽  
Momoka Kondo ◽  
Tomoya Takemoto ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Behavior ◽  
Mouse Model ◽  
Mouse Models ◽  
De Novo ◽  
Neurodevelopmental Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
De Novo Mutation ◽  
Behavioral Deficits

AbstractAutism spectrum disorder (ASD) is a highly prevalent neurodevelopmental disorder characterized by core symptoms of impaired social behavior and communication. Recent studies have suggested that the oxytocin system, which regulates social behavior in mammals, is potentially involved in ASD. Mouse models of ASD provide a useful system for understanding the associations between an impaired oxytocin system and social behavior deficits. However, limited studies have shown the involvement of the oxytocin system in the behavioral phenotypes in mouse models of ASD. We have previously demonstrated that a mouse model that carries the ASD patient-derived de novo mutation in the pogo transposable element derived with zinc finger domain (POGZWT/Q1038R mice), showed ASD-like social behavioral deficits. Here, we have explored whether oxytocin (OXT) administration improves impaired social behavior in POGZWT/Q1038R mice and found that intranasal oxytocin administration effectively restored the impaired social behavior in POGZWT/Q1038R mice. We also found that the expression level of the oxytocin receptor gene (OXTR) was low in POGZWT/Q1038R mice. However, we did not detect significant changes in the number of OXT-expressing neurons between the paraventricular nucleus of POGZWT/Q1038R mice and that of WT mice. A chromatin immunoprecipitation assay revealed that POGZ binds to the promoter region of OXTR and is involved in the transcriptional regulation of OXTR. In summary, our study demonstrate that the pathogenic mutation in the POGZ, a high-confidence ASD gene, impairs the oxytocin system and social behavior in mice, providing insights into the development of oxytocin-based therapeutics for ASD.

scholarly journals Dissecting the chromosome-level genome of the Asian Clam (Corbicula fluminea)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tongqing Zhang ◽  
Jiawen Yin ◽  
Shengkai Tang ◽  
Daming Li ◽  
Xiankun Gu ◽  
...  
Keyword(s):  
De Novo ◽  
Corbicula Fluminea ◽  
Gene Families ◽  
Ruditapes Philippinarum ◽  
Genomic Sequences ◽  
Future Research ◽  
Asian Clam ◽  
Sequencing Technologies ◽  
East And Southeast Asia ◽  
Clam Corbicula

AbstractThe Asian Clam (Corbicula fluminea) is a valuable commercial and medicinal bivalve, which is widely distributed in East and Southeast Asia. As a natural nutrient source, the clam is rich in protein, amino acids, and microelements. The genome of C. fluminea has not yet been characterized; therefore, genome-assisted breeding and improvements cannot yet be implemented. In this work, we present a de novo chromosome-scale genome assembly of C. fluminea using PacBio and Hi-C sequencing technologies. The assembled genome comprised 4728 contigs, with a contig N50 of 521.06 Kb, and 1,215 scaffolds with a scaffold N50 of 70.62 Mb. More than 1.51 Gb (99.17%) of genomic sequences were anchored to 18 chromosomes, of which 1.40 Gb (92.81%) of genomic sequences were ordered and oriented. The genome contains 38,841 coding genes, 32,591 (83.91%) of which were annotated in at least one functional database. Compared with related species, C. fluminea had 851 expanded gene families and 191 contracted gene families. The phylogenetic tree showed that C. fluminea diverged from Ruditapes philippinarum, ~ 228.89 million years ago (Mya), and the genomes of C. fluminea and R. philippinarum shared 244 syntenic blocks. Additionally, we identified 2 MITF members and 99 NLRP members in C. fluminea genome. The high-quality and chromosomal Asian Clam genome will be a valuable resource for a range of development and breeding studies of C. fluminea in future research.

scholarly journals The L1-dependant and Pol III transcribed Alu retrotransposon, from its discovery to innate immunity

2021 ◽  
Vol 48 (3) ◽  
pp. 2775-2789
Author(s):  
Ludwig Stenz
Keyword(s):  
Human Genome ◽  
Viral Infections ◽  
De Novo ◽  
Current Knowledge ◽  
Innate Immune ◽  
De Novo Mutation ◽  
Neuronal Diversity ◽  
Alu Sequences ◽  
Pol Iii ◽  
The Brain

AbstractThe 300 bp dimeric repeats digestible by AluI were discovered in 1979. Since then, Alu were involved in the most fundamental epigenetic mechanisms, namely reprogramming, pluripotency, imprinting and mosaicism. These Alu encode a family of retrotransposons transcribed by the RNA Pol III machinery, notably when the cytosines that constitute their sequences are de-methylated. Then, Alu hijack the functions of ORF2 encoded by another transposons named L1 during reverse transcription and integration into new sites. That mechanism functions as a complex genetic parasite able to copy-paste Alu sequences. Doing that, Alu have modified even the size of the human genome, as well as of other primate genomes, during 65 million years of co-evolution. Actually, one germline retro-transposition still occurs each 20 births. Thus, Alu continue to modify our human genome nowadays and were implicated in de novo mutation causing diseases including deletions, duplications and rearrangements. Most recently, retrotransposons were found to trigger neuronal diversity by inducing mosaicism in the brain. Finally, boosted during viral infections, Alu clearly interact with the innate immune system. The purpose of that review is to give a condensed overview of all these major findings that concern the fascinating physiology of Alu from their discovery up to the current knowledge.

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