Explaining Rare Mendelian Phenotypes: Exome Sequencing And
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Clinical Application of Chromosomal Microarray Analysis for Fetuses With
Xu et al. Molecular Cytogenetics (2020) 13:38 https://doi.org/10.1186/s13039-020-00502-5 RESEARCH Open Access Clinical application of chromosomal microarray analysis for fetuses with craniofacial malformations Chenyang Xu1†, Yanbao Xiang1†, Xueqin Xu1, Lili Zhou1, Huanzheng Li1, Xueqin Dong1 and Shaohua Tang1,2* Abstract Background: The potential correlations between chromosomal abnormalities and craniofacial malformations (CFMs) remain a challenge in prenatal diagnosis. This study aimed to evaluate 118 fetuses with CFMs by applying chromosomal microarray analysis (CMA) and G-banded chromosome analysis. Results: Of the 118 cases in this study, 39.8% were isolated CFMs (47/118) whereas 60.2% were non-isolated CFMs (71/118). The detection rate of chromosomal abnormalities in non-isolated CFM fetuses was significantly higher than that in isolated CFM fetuses (26/71 vs. 7/47, p = 0.01). Compared to the 16 fetuses (16/104; 15.4%) with pathogenic chromosomal abnormalities detected by karyotype analysis, CMA identified a total of 33 fetuses (33/118; 28.0%) with clinically significant findings. These 33 fetuses included cases with aneuploidy abnormalities (14/118; 11.9%), microdeletion/microduplication syndromes (9/118; 7.6%), and other pathogenic copy number variations (CNVs) only (10/118; 8.5%).We further explored the CNV/phenotype correlation and found a series of clear or suspected dosage-sensitive CFM genes including TBX1, MAPK1, PCYT1A, DLG1, LHX1, SHH, SF3B4, FOXC1, ZIC2, CREBBP, SNRPB, and CSNK2A1. Conclusion: These findings enrich our understanding of the potential causative CNVs and genes in CFMs. Identification of the genetic basis of CFMs contributes to our understanding of their pathogenesis and allows detailed genetic counselling. -
Identification Des Bases Moléculaires Et Physiopathologiques Des Syndromes Oro-Facio-Digitaux Ange-Line Bruel
Identification des bases moléculaires et physiopathologiques des syndromes oro-facio-digitaux Ange-Line Bruel To cite this version: Ange-Line Bruel. Identification des bases moléculaires et physiopathologiques des syndromes oro-facio- digitaux. Génétique. Université de Bourgogne, 2016. Français. NNT : 2016DIJOS043. tel-01635713 HAL Id: tel-01635713 https://tel.archives-ouvertes.fr/tel-01635713 Submitted on 15 Nov 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITE DE BOURGOGNE UFR des Sciences de Santé THÈSE Pour obtenir le grade de Docteur de l’Université de Bourgogne Discipline : Sciences de la vie par Ange-Line Bruel 21 Septembre 2016 Identification des bases moléculaires et physiopathologiques des syndromes oro-facio-digitaux Directeur de thèse Pr Christel Thauvin-Robinet Co-directeur de thèse Dr Laurence Jego Dr Jean-Baptiste Rivière Jury Pr Faivre Laurence, Président Pr Thauvin-Robinet Christel, Directeur de thèse Dr Saunier Sophie, Rapporteur Pr Geneviève David, Rapporteur Pr Attié-Bittach Tania, Examinateur 1 A ma famille 2 Remerciements Je voudrais remercier en premier lieu Laurence Faivre, de m’avoir accueillie au sein du laboratoire Génétique des Anomalies du Développement, pour l’intérêt porté à mes travaux et pour son soutien. -
2014-Platform-Abstracts.Pdf
American Society of Human Genetics 64th Annual Meeting October 18–22, 2014 San Diego, CA PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Saturday 41 Statistical Methods for Population 5:30pm–6:50pm: Session 2: Plenary Abstracts Based Studies Room 20A #198–#205 Featured Presentation I (4 abstracts) Hall B1 #1–#4 42 Genome Variation and its Impact on Autism and Brain Development Room 20BC #206–#213 Sunday 43 ELSI Issues in Genetics Room 20D #214–#221 1:30pm–3:30pm: Concurrent Platform Session A (12–21): 44 Prenatal, Perinatal, and Reproductive 12 Patterns and Determinants of Genetic Genetics Room 28 #222–#229 Variation: Recombination, Mutation, 45 Advances in Defining the Molecular and Selection Hall B1 Mechanisms of Mendelian Disorders Room 29 #230–#237 #5-#12 13 Genomic Studies of Autism Room 6AB #13–#20 46 Epigenomics of Normal Populations 14 Statistical Methods for Pedigree- and Disease States Room 30 #238–#245 Based Studies Room 6CF #21–#28 15 Prostate Cancer: Expression Tuesday Informing Risk Room 6DE #29–#36 8:00pm–8:25am: 16 Variant Calling: What Makes the 47 Plenary Abstracts Featured Difference? Room 20A #37–#44 Presentation III Hall BI #246 17 New Genes, Incidental Findings and 10:30am–12:30pm:Concurrent Platform Session D (49 – 58): Unexpected Observations Revealed 49 Detailing the Parts List Using by Exome Sequencing Room 20BC #45–#52 Genomic Studies Hall B1 #247–#254 18 Type 2 Diabetes Genetics Room 20D #53–#60 50 Statistical Methods for Multigene, 19 Genomic Methods in Clinical Practice Room 28 #61–#68 Gene Interaction -
A Molecular Quantitative Trait Locus Map for Osteoarthritis
A molecular quantitative trait locus map for osteoarthritis Julia Steinberg1,2,3,4, Lorraine Southam1,3, Theodoros I Roumeliotis3,5, Matthew J Clark6, Raveen L Jayasuriya6, Diane Swift6, Karan M Shah6, Natalie C Butterfield7, Roger A Brooks8, Andrew W McCaskie8, JH Duncan Bassett7, Graham R Williams7, Jyoti S Choudhary3,5, J Mark Wilkinson6,9,11, Eleftheria Zeggini1,3,10,11 1 Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, 85764 Neuherberg, Germany 2 Cancer Research Division, Cancer Council NSW, Sydney, New South Wales 2011, Australia 3 Wellcome Sanger Institute, Hinxton CB10 1SA, United Kingdom 4 School of Public Health, The University of Sydney, Sydney, New South Wales 2006, Australia 5 The Institute of Cancer Research, London SW7 3RP, UK 6 Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK 7 Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 ONN, UK 8 Division of Trauma & Orthopaedic Surgery, Department of Surgery, University of Cambridge, Cambridge CB2 2QQ, UK 9 Centre for Integrated Research into Musculoskeletal Ageing and Sheffield Healthy Lifespan Institute, University of Sheffield, Sheffield S10 2TN, UK 10 TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, Munich, Germany 11 These authors contributed equally Correspondence to: [email protected]; eleftheria.zeggini@helmholtz- muenchen.de Supplementary Information Table of Contents Supplementary Notes ................................................................................................................... 3 Supplementary Note 1: Identification of cis-eQTLs and cis-pQTLs in osteoarthritis tissues ..................... 3 Supplementary Note 2: Differential eQTLs between low-grade and high-grade cartilage ....................... 4 Supplementary Note 3: Differential gene expression between high-grade and low-grade cartilage ...... -
Genomic Approach in Idiopathic Intellectual Disability Maria De Fátima E Costa Torres
ESTUDOS DE 8 01 PDPGM 2 CICLO Genomic approach in idiopathic intellectual disability Maria de Fátima e Costa Torres D Autor. Maria de Fátima e Costa Torres D.ICBAS 2018 Genomic approach in idiopathic intellectual disability Genomic approach in idiopathic intellectual disability Maria de Fátima e Costa Torres SEDE ADMINISTRATIVA INSTITUTO DE CIÊNCIAS BIOMÉDICAS ABEL SALAZAR FACULDADE DE MEDICINA MARIA DE FÁTIMA E COSTA TORRES GENOMIC APPROACH IN IDIOPATHIC INTELLECTUAL DISABILITY Tese de Candidatura ao grau de Doutor em Patologia e Genética Molecular, submetida ao Instituto de Ciências Biomédicas Abel Salazar da Universidade do Porto Orientadora – Doutora Patrícia Espinheira de Sá Maciel Categoria – Professora Associada Afiliação – Escola de Medicina e Ciências da Saúde da Universidade do Minho Coorientadora – Doutora Maria da Purificação Valenzuela Sampaio Tavares Categoria – Professora Catedrática Afiliação – Faculdade de Medicina Dentária da Universidade do Porto Coorientadora – Doutora Filipa Abreu Gomes de Carvalho Categoria – Professora Auxiliar com Agregação Afiliação – Faculdade de Medicina da Universidade do Porto DECLARAÇÃO Dissertação/Tese Identificação do autor Nome completo _Maria de Fátima e Costa Torres_ N.º de identificação civil _07718822 N.º de estudante __ 198600524___ Email institucional [email protected] OU: [email protected] _ Email alternativo [email protected] _ Tlf/Tlm _918197020_ Ciclo de estudos (Mestrado/Doutoramento) _Patologia e Genética Molecular__ Faculdade/Instituto _Instituto de Ciências -
Abstracts Selected for Platform Presentation
Abstracts Selected for Platform Presentation Using semantic similarity analysis based on Human Phenotype Ontology terms to identify genetic etiologies for epilepsy and neurodevelopmental disorders Ingo Helbig1,2,3, Shiva Ganesan1,2, Peter Galer1,2, Colin A. Ellis3, Katherine L. Helbig1,2 1 Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA, 19104 USA 2 Department of Biomedical and Health Informatics (DBHi), Children’s Hospital of Philadelphia, Philadelphia, PA, 19104 USA 3 Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104 USA More than 25% of children with intractable epilepsies have an identifiable genetic cause, and the goal of epilepsy precision medicine is to stratify patients based on genetic findings to improve diagnosis and treatment. Large-scale genetic studies in > 15,000 epilepsy patients have provided deep insights into causative genetic changes. However, the understanding of how these changes link to specific clinical features is lagging behind. This deficit is largely due to the lack of frameworks to analyze large-scale phenotypic data, which dramatically impedes the ability to translate genetic findings into improved treatment. The Human Phenotype Ontology (HPO) has been developed as a curated terminology, with formal semantic relationships between more than 13,500 phenotypic terms, and has been adopted by many diagnostic laboratories, the UK’s 100,000 Genomes Project, the NIH Undiagnosed Diseases Network, the GA4GH, and hundreds of global initiatives. The HPO also contains a rich vocabulary for epilepsy-related phenotypes, which we have developed in prior large research networks and expanded in current projects. However, analytical approaches leveraging this rich data resource have not been implemented so far. -
Diagnóstico Molecular Do Transtorno Do Espectro Autista Através Do Sequenciamento Completo De Exoma Molecular Diagnosis Of
Universidade de São Paulo Tatiana Ferreira de Almeida Diagnóstico molecular do transtorno do espectro autista através do sequenciamento completo de exoma Molecular diagnosis of autism spectrum disorder through whole exome sequencing São Paulo 2018 Universidade de São Paulo Tatiana Ferreira de Almeida Diagnóstico molecular do transtorno do espectro autista através do sequenciamento completo de exoma Molecular diagnosis of autism spectrum disorder through whole exome sequencing Tese apresentada ao Instituto de Biociências da Universidade de São Paulo, para a obtenção de Título de Doutor em Ciências, na Área de Biologia/Genética. Versão corrigida. Orientador(a): Maria Rita dos Santos Passos-Bueno São Paulo ii 2018 Dedico esta tese à ciência, e a todos os seus amantes. O, reason not the need! Our basest beggars Are in the poorest thing superfluous. Allow not nature more than nature needs, Man’s life is cheap as beast’s. Thou art a lady: If only to go warm were gorgeous, Why, nature needs not what thou gorgeous wear’st Which scarcely keeps thee warm. But, for true need- You heavens, give me that patience, patience I need! You see me here, you gods, a poor old man, As full of grief as age; wretched in both.” iii King Lear, William Shakespeare, 1608 Agradecimentos Agradeço em primeiro lugar ao meu grande amor Danilo, sem ele, há 11 anos, essa jornada não teria começado, a vida não teria me surpreendido e eu estaria de volta em casa, com todos os peixinhos do mar, e infeliz pelo resto da minha vida. Agradeço minha família, principalmente minha mãe Flávia e meu pai Airton por sacrificarem com mínimos protestos, as melhores horas que passaríamos juntos para que eu cumprisse meu trabalho. -
The 4Th Joint Spring Conference 7-9 March 2016 the City Hall, Cardiff Civic Centre
The 4th Joint Spring Conference 7-9 March 2016 The City Hall, Cardiff Civic Centre Abstract Booklet We gratefully acknowledge the support given to the Conference by our sponsors Platinum Sponsor Gold Sponsor Silver Sponsors Oral Presentations (Arranged alphabetically by lead author) Risk factors for the presence of pathogenic APC and biallelic MUTYH mutations in patients with multiple adenomas S.W. ten Broeke.1 S.S. Badal 1, T. van Wezel 2, H. Morreau 2, F.J. Hes 1, H.F. Vasen 3,4, C.M. Tops 1, M. Nielsen 1 1 Department of Clinical Genetics, Leiden University Medical Centre, the Netherlands. 2 Department of Pathology, Leiden University Medical Centre, the Netherlands. 3 The Netherlands Foundation for the Detection of Hereditary Tumours, Leiden, the Netherlands. 4 Department of Gastroenterology, Leiden University Medical Centre, the Netherlands. [email protected] Background. Patients with multiple colorectal adenomas may carry germline mutations in the APC or MUTYH gene. The aims of this study were (1) to assess the proportion of patients with an APC-mutation or bi-allelic MUTYH mutations in patients with multiple adenomas and (2) to identify risk factors that predict the finding of mutations. Methods. We performed mutation analysis of the APC gene and/or MUTYH gene in a nationwide cohort of 2151 patients ascertained from Dutch family cancer clinics between 1992 and 2015. The following risk factors of a pathogenic germline mutation were analysed using logistic regression analysis: cumulative adenoma count, age of CRC diagnosis, age of adenoma detection, family history for CRC and year of mutation analysis. -
Platform Abstracts
American Society of Human Genetics 66th Annual Meeting October 18–22, 2016 VANCOUVER, CANADA PLATFORM ABSTRACTS Tuesday, October 18, 5:00-6:20 pm: Abstract #’s Friday, October 21, 9:00-10:30 am, Concurrent Platform Session D: 2 Featured Plenary Abstract Session I Ballroom ABC, #1-#4 48 Mapping Cancer Susceptibility Alleles Ballroom A, West #189-#194 West Building Building 49 The Genetics of Type 2 Diabetes and Glycemic Ballroom B, West #195-#200 Wednesday, October 19, 9:00-10:30 am, Concurrent Platform Session A: Traits Building 6 Interpreting Variants of Uncertain Significance Ballroom A, West #5-#10 50 Chromatin Architecture, Fine Mapping, and Ballroom C, West #201-#206 Building Disease Building 7 Insights from Large Cohorts: Part 1 Ballroom B, West #11-#16 51 Inferring the Action of Natural Selection Room 109, West #207-#212 Building Building 8 Rare Germline Variants and Cancer Risk Ballroom C, West #17-#22 52 The Many Twists of Single-gene Cardiovascu- Room 119, West #213-#218 Building lar Disorders Building 9 Early Detection: New Approaches to Pre- and Room 109, West #23-#28 53 Friends or Foes? Interactions of Hosts and Room 207, West #219-#224 Perinatal Analyses Building Pathogens Building 10 Advances in Characterizing the Genetic Basis Room 119, West #29-#34 54 Novel Methods for Analyzing GWAS and Room 211, West #225-#230 of Autism Building Sequencing Data Building 11 New Discoveries in Skeletal Disorders and Room 207, West #35-#40 55 From Gene Discovery to Mechanism in Room 221, West #231-#236 Syndromic Abnormalities Building -
Phenodb, Genematcher and Variantmatcher, Tools for Analysis and Sharing of Sequence Data Elizabeth Wohler1†, Renan Martin1†, Sean Grifth2, Eliete Da S
Wohler et al. Orphanet J Rare Dis (2021) 16:365 https://doi.org/10.1186/s13023-021-01916-z RESEARCH Open Access PhenoDB, GeneMatcher and VariantMatcher, tools for analysis and sharing of sequence data Elizabeth Wohler1†, Renan Martin1†, Sean Grifth2, Eliete da S. Rodrigues1, Corina Antonescu1, Jennifer E. Posey3, Zeynep Coban‑Akdemir3, Shalini N. Jhangiani3,4, Kimberly F. Doheny1,2, James R. Lupski3,4,5,6, David Valle1, Ada Hamosh1 and Nara Sobreira1* Abstract Background: With the advent of whole exome (ES) and genome sequencing (GS) as tools for disease gene discov‑ ery, rare variant fltering, prioritization and data sharing have become essential components of the search for disease genes and variants potentially contributing to disease phenotypes. The computational storage, data manipulation, and bioinformatic interpretation of thousands to millions of variants identifed in ES and GS, respectively, is a challeng‑ ing task. To aid in that endeavor, we constructed PhenoDB, GeneMatcher and VariantMatcher. Results: PhenoDB is an accessible, freely available, web‑based platform that allows users to store, share, analyze and interpret their patients’ phenotypes and variants from ES/GS data. GeneMatcher is accessible to all stakeholders as a web‑based tool developed to connect individuals (researchers, clinicians, health care providers and patients) around the globe with interest in the same gene(s), variant(s) or phenotype(s). Finally, VariantMatcher was developed to enable public sharing of variant‑level data and phenotypic information from individuals sequenced as part of multiple disease gene discovery projects. Here we provide updates on PhenoDB and GeneMatcher applications and imple‑ mentation and introduce VariantMatcher. Conclusion: Each of these tools has facilitated worldwide data sharing and data analysis and improved our ability to connect genes to phenotypic traits. -
Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations Fall 2010 Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Renuka Nayak University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Computational Biology Commons, and the Genomics Commons Recommended Citation Nayak, Renuka, "Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress" (2010). Publicly Accessible Penn Dissertations. 1559. https://repository.upenn.edu/edissertations/1559 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1559 For more information, please contact [email protected]. Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Abstract Genes interact in networks to orchestrate cellular processes. Here, we used coexpression networks based on natural variation in gene expression to study the functions and interactions of human genes. We asked how these networks change in response to stress. First, we studied human coexpression networks at baseline. We constructed networks by identifying correlations in expression levels of 8.9 million gene pairs in immortalized B cells from 295 individuals comprising three independent samples. The resulting networks allowed us to infer interactions between biological processes. We used the network to predict the functions of poorly-characterized human genes, and provided some experimental support. Examining genes implicated in disease, we found that IFIH1, a diabetes susceptibility gene, interacts with YES1, which affects glucose transport. Genes predisposing to the same diseases are clustered non-randomly in the network, suggesting that the network may be used to identify candidate genes that influence disease susceptibility. -
Abstracts Selected for Poster Presentations
Poster Presentation Abstracts Curating the Exome of hypomagnesemia with secondary hypocalcemia patient M. Kamran Azim Department of Biosciences, Mohammad Ali Jinnah University, Karachi, Pakistan Hypomagnesemia with secondary hypocalcemia is a rare autosomal-recessive disorder characterized by intense hypomagnesemia associated with hypocalcemia (HSH). Mutations in the TRPM6 gene, encoding the epithelial Mg2+ channel TRPM6, have been proven to be the molecular cause of this disease. This study identified causal mutations in patients of hypomagnesemia. Biochemical analyses indicated the diagnosis of HSH due to primary gastrointestinal loss of magnesium. Whole exome sequencing of the trio (i.e. proband and both parents) was carried out with mean coverage of > 150×. ANNOVAR was used to annotate functional consequences of genetic variation from exome sequencing data. After variant filtering and annotation, a number of single nucleotide variants (SNVs) and a novel 2 bp deletion at exon26:c.4402_4403delCT in TRPM6 gene were identified. This deletion which resulted in a novel frameshift mutation in exon 26 of this gene was confirmed by Sanger sequencing. In conclusion, among several candidate genes, present trio exome sequencing study identified a novel homozygous frame shift mutation in TRPM6 gene of HSH patient. However, it should be noted that exome sequencing does not cover large genomic rearrangement such as copy number variations (CNVs). Medical Action Ontology (MAxO) Leigh C. Carmody, Xingmin A. Zhang, Nicole A. Vasilevsky, Chris J. Mungall, Nico Matentzoglu, Peter N. Robinson A standardized, controlled vocabulary allows medical actions to be described in an unambiguous fashion in medical publications and databases. The Medical Action Ontology (MAxO) is being developed to provide a structured vocabulary for medical procedures, interventions, therapies, and treatments for rare diseases.