Spectrum of Mutations and Genotype ± Phenotype Analysis in Currarino Syndrome
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Gene Regulatory Networks
Gene Regulatory Networks 02-710 Computaonal Genomics Seyoung Kim Transcrip6on Factor Binding Transcrip6on Control • Gene transcrip.on is influenced by – Transcrip.on factor binding affinity for the regulatory regions of target genes – Transcrip.on factor concentraon – Nucleosome posi.oning and chroman states – Enhancer ac.vity Gene Transcrip6onal Regulatory Network • The expression of a gene is controlled by cis and trans regulatory elements – Cis regulatory elements: DNA sequences in the regulatory region of the gene (e.g., TF binding sites) – Trans regulatory elements: RNAs and proteins that interact with the cis regulatory elements Gene Transcrip6onal Regulatory Network • Consider the following regulatory relaonships: Target gene1 Target TF gene2 Target gene3 Cis/Trans Regulatory Elements Binding site: cis Target TF regulatory element TF binding affinity gene1 can influence the TF target gene Target gene2 expression Target TF gene3 TF: trans regulatory element TF concentra6on TF can influence the target gene TF expression Gene Transcrip6onal Regulatory Network • Cis and trans regulatory elements form a complex transcrip.onal regulatory network – Each trans regulatory element (proteins/RNAs) can regulate mul.ple target genes – Cis regulatory modules (CRMs) • Mul.ple different regulators need to be recruited to ini.ate the transcrip.on of a gene • The DNA binding sites of those regulators are clustered in the regulatory region of a gene and form a CRM How Can We Learn Transcriponal Networks? • Leverage allele specific expressions – In diploid organisms, the transcript levels from the two copies of the genes may be different – RNA-seq can capture allele- specific transcript levels How Can We Learn Transcriponal Networks? • Leverage allele specific gene expressions – Teasing out cis/trans regulatory divergence between two species (WiZkopp et al. -
The Genetic Heterogeneity of Brachydactyly Type A1: Identifying the Molecular Pathways
The genetic heterogeneity of brachydactyly type A1: Identifying the molecular pathways Lemuel Jean Racacho Thesis submitted to the Faculty of Graduate Studies and Postdoctoral Studies in partial fulfillment of the requirements for the Doctorate in Philosophy degree in Biochemistry Specialization in Human and Molecular Genetics Department of Biochemistry, Microbiology and Immunology Faculty of Medicine University of Ottawa © Lemuel Jean Racacho, Ottawa, Canada, 2015 Abstract Brachydactyly type A1 (BDA1) is a rare autosomal dominant trait characterized by the shortening of the middle phalanges of digits 2-5 and of the proximal phalange of digit 1 in both hands and feet. Many of the brachymesophalangies including BDA1 have been associated with genetic perturbations along the BMP-SMAD signaling pathway. The goal of this thesis is to identify the molecular pathways that are associated with the BDA1 phenotype through the genetic assessment of BDA1-affected families. We identified four missense mutations that are clustered with other reported BDA1 mutations in the central region of the N-terminal signaling peptide of IHH. We also identified a missense mutation in GDF5 cosegregating with a semi-dominant form of BDA1. In two families we reported two novel BDA1-associated sequence variants in BMPR1B, the gene which codes for the receptor of GDF5. In 2002, we reported a BDA1 trait linked to chromosome 5p13.3 in a Canadian kindred (BDA1B; MIM %607004) but we did not discover a BDA1-causal variant in any of the protein coding genes within the 2.8 Mb critical region. To provide a higher sensitivity of detection, we performed a targeted enrichment of the BDA1B locus followed by high-throughput sequencing. -
Pushing the Limits of Prenatal Ultrasound: a Case of Dorsal Dermal Sinus Associated with an Overt Arnold–Chiari Malformation and a 3Q Duplication
reproductive medicine Case Report Pushing the Limits of Prenatal Ultrasound: A Case of Dorsal Dermal Sinus Associated with an Overt Arnold–Chiari Malformation and a 3q Duplication Olivier Leroij 1, Lennart Van der Veeken 2,*, Bettina Blaumeiser 3 and Katrien Janssens 3 1 Faculty of Medicine, University of Antwerp, 2610 Wilrijk, Belgium; [email protected] 2 Department of Obstetrics and Gynaecology, University Hospital Antwerp, 2650 Edegem, Belgium 3 Department of Medical Genetics, University Hospital and University of Antwerp, 2650 Edegem, Belgium; [email protected] (B.B.); [email protected] (K.J.) * Correspondence: [email protected] Abstract: We present a case of a fetus with cranial abnormalities typical of open spina bifida but with an intact spine shown on both ultrasound and fetal MRI. Expert ultrasound examination revealed a very small tract between the spine and the skin, and a postmortem examination confirmed the diagnosis of a dorsal dermal sinus. Genetic analysis found a mosaic 3q23q27 duplication in the form of a marker chromosome. This case emphasizes that meticulous prenatal ultrasound examination has the potential to diagnose even closed subtypes of neural tube defects. Furthermore, with cerebral anomalies suggesting a spina bifida, other imaging techniques together with genetic tests and measurement of alpha-fetoprotein in the amniotic fluid should be performed. Citation: Leroij, O.; Van der Veeken, Keywords: dorsal dermal sinus; Arnold–Chiari anomaly; 3q23q27 duplication; mosaic; marker chro- L.; Blaumeiser, B.; Janssens, K. mosome Pushing the Limits of Prenatal Ultrasound: A Case of Dorsal Dermal Sinus Associated with an Overt Arnold–Chiari Malformation and a 3q 1. -
Prevalence and Incidence of Rare Diseases: Bibliographic Data
Number 1 | January 2019 Prevalence and incidence of rare diseases: Bibliographic data Prevalence, incidence or number of published cases listed by diseases (in alphabetical order) www.orpha.net www.orphadata.org If a range of national data is available, the average is Methodology calculated to estimate the worldwide or European prevalence or incidence. When a range of data sources is available, the most Orphanet carries out a systematic survey of literature in recent data source that meets a certain number of quality order to estimate the prevalence and incidence of rare criteria is favoured (registries, meta-analyses, diseases. This study aims to collect new data regarding population-based studies, large cohorts studies). point prevalence, birth prevalence and incidence, and to update already published data according to new For congenital diseases, the prevalence is estimated, so scientific studies or other available data. that: Prevalence = birth prevalence x (patient life This data is presented in the following reports published expectancy/general population life expectancy). biannually: When only incidence data is documented, the prevalence is estimated when possible, so that : • Prevalence, incidence or number of published cases listed by diseases (in alphabetical order); Prevalence = incidence x disease mean duration. • Diseases listed by decreasing prevalence, incidence When neither prevalence nor incidence data is available, or number of published cases; which is the case for very rare diseases, the number of cases or families documented in the medical literature is Data collection provided. A number of different sources are used : Limitations of the study • Registries (RARECARE, EUROCAT, etc) ; The prevalence and incidence data presented in this report are only estimations and cannot be considered to • National/international health institutes and agencies be absolutely correct. -
Orphanet Report Series Rare Diseases Collection
Marche des Maladies Rares – Alliance Maladies Rares Orphanet Report Series Rare Diseases collection DecemberOctober 2013 2009 List of rare diseases and synonyms Listed in alphabetical order www.orpha.net 20102206 Rare diseases listed in alphabetical order ORPHA ORPHA ORPHA Disease name Disease name Disease name Number Number Number 289157 1-alpha-hydroxylase deficiency 309127 3-hydroxyacyl-CoA dehydrogenase 228384 5q14.3 microdeletion syndrome deficiency 293948 1p21.3 microdeletion syndrome 314655 5q31.3 microdeletion syndrome 939 3-hydroxyisobutyric aciduria 1606 1p36 deletion syndrome 228415 5q35 microduplication syndrome 2616 3M syndrome 250989 1q21.1 microdeletion syndrome 96125 6p subtelomeric deletion syndrome 2616 3-M syndrome 250994 1q21.1 microduplication syndrome 251046 6p22 microdeletion syndrome 293843 3MC syndrome 250999 1q41q42 microdeletion syndrome 96125 6p25 microdeletion syndrome 6 3-methylcrotonylglycinuria 250999 1q41-q42 microdeletion syndrome 99135 6-phosphogluconate dehydrogenase 67046 3-methylglutaconic aciduria type 1 deficiency 238769 1q44 microdeletion syndrome 111 3-methylglutaconic aciduria type 2 13 6-pyruvoyl-tetrahydropterin synthase 976 2,8 dihydroxyadenine urolithiasis deficiency 67047 3-methylglutaconic aciduria type 3 869 2A syndrome 75857 6q terminal deletion 67048 3-methylglutaconic aciduria type 4 79154 2-aminoadipic 2-oxoadipic aciduria 171829 6q16 deletion syndrome 66634 3-methylglutaconic aciduria type 5 19 2-hydroxyglutaric acidemia 251056 6q25 microdeletion syndrome 352328 3-methylglutaconic -
Test Catalogue August 2019
Test Catalogue August 2019 www.centogene.com/catalogue Table of Contents CENTOGENE CLINICAL DIAGNOSTIC PRODUCTS AND SERVICES › Whole Exome Testing 4 › Whole Genome Testing 5 › Genome wide CNV Analysis 5 › Somatic Mutation Analyses 5 › Biomarker Testing, Biochemical Testing 6 › Prenatal Testing 7 › Additional Services 7 › Metabolic Diseases 9 - 21 › Neurological Diseases 23 - 47 › Ophthalmological Diseases 49 - 55 › Ear, Nose and Throat Diseases 57 - 61 › Bone, Skin and Immune Diseases 63 - 73 › Cardiological Diseases 75 - 79 › Vascular Diseases 81 - 82 › Liver, Kidney and Endocrinological Diseases 83 - 89 › Reproductive Genetics 91 › Haematological Diseases 93 - 96 › Malformation and/or Retardation Syndromes 97 - 107 › Oncogenetics 109 - 113 ® › CentoXome - Sequencing targeting exonic regions of ~20.000 genes Test Test name Description code CentoXome® Solo Medical interpretation/report of WES findings for index 50029 CentoXome® Solo - Variants Raw data; fastQ, BAM, Vcf files along with variant annotated file in xls format for index 50028 CentoXome® Solo - with CNV Medical interpretation/report of WES including CNV findings for index 50103 Medical interpretation/report of WES in index, package including genome wide analyses of structural/ CentoXome® Solo - with sWGS 50104 large CNVs through sWGS Medical interpretation/report of WES in index, package including genome wide analyses of structural/ CentoXome® Solo - with aCGH 750k 50122 large CNVs through 750k microarray Medical interpretation/report of WES in index, package including genome -
Solutions for Practice Problems for Molecular Biology, Session 5
Solutions to Practice Problems for Molecular Biology, Session 5: Gene Regulation and the Lac Operon Question 1 a) How does lactose (allolactose) promote transcription of LacZ? 1) Lactose binds to the polymerase and increases efficiency. 2) Lactose binds to a repressor protein, and alters its conformation to prevent it from binding to the DNA and interfering with the binding of RNA polymerase. 3) Lactose binds to an activator protein, which can then help the RNA polymerase bind to the promoter and begin transcription. 4) Lactose prevents premature termination of transcription by directly binding to and bending the DNA. Solution: 2) Lactose binds to a repressor protein, and alters its conformation to prevent it from binding to the DNA and interfering with the binding of RNA polymerase. b) What molecule is used to signal low glucose levels to the Lac operon regulatory system? 1) Cyclic AMP 2) Calcium 3) Lactose 4) Pyruvate Solution: 1) Cyclic AMP. Question 2 You design a summer class where you recreate experiments studying the lac operon in E. coli (see schematic below). In your experiments, the activity of the enzyme b-galactosidase (β -gal) is measured by including X-gal and IPTG in the growth media. X-gal is a lactose analog that turns blue when metabolisize by b-gal, but it does not induce the lac operon. IPTG is an inducer of the lac operon but is not metabolized by b-gal. I O lacZ Plac Binding site for CAP Pi Gene encoding β-gal Promoter for activator protein Repressor (I) a) Which of the following would you expect to bind to β-galactosidase? Circle all that apply. -
Evolutionary Developmental Biology 573
EVOC20 29/08/2003 11:15 AM Page 572 Evolutionary 20 Developmental Biology volutionary developmental biology, now often known Eas “evo-devo,” is the study of the relation between evolution and development. The relation between evolution and development has been the subject of research for many years, and the chapter begins by looking at some classic ideas. However, the subject has been transformed in recent years as the genes that control development have begun to be identified. This chapter looks at how changes in these developmental genes, such as changes in their spatial or temporal expression in the embryo, are associated with changes in adult morphology. The origin of a set of genes controlling development may have opened up new and more flexible ways in which evolution could occur: life may have become more “evolvable.” EVOC20 29/08/2003 11:15 AM Page 573 CHAPTER 20 / Evolutionary Developmental Biology 573 20.1 Changes in development, and the genes controlling development, underlie morphological evolution Morphological structures, such as heads, legs, and tails, are produced in each individual organism by development. The organism begins life as a single cell. The organism grows by cell division, and the various cell types (bone cells, skin cells, and so on) are produced by differentiation within dividing cell lines. When one species evolves into Morphological evolution is driven another, with a changed morphological form, the developmental process must have by developmental evolution changed too. If the descendant species has longer legs, it is because the developmental process that produces legs has been accelerated, or extended over time. -
Myths and Legends of the Baldwin Effect
Myths and Legends of the Baldwin Effect Peter Turney Institute for Information Technology National Research Council Canada Ottawa, Ontario, Canada, K1A 0R6 [email protected] Abstract ary computation when there is an evolving population of learning individuals (Ackley and Littman, 1991; Belew, This position paper argues that the Baldwin effect 1989; Belew et al., 1991; French and Messinger, 1994; is widely misunderstood by the evolutionary Hart, 1994; Hart and Belew, 1996; Hightower et al., 1996; computation community. The misunderstandings Whitley and Gruau, 1993; Whitley et al., 1994). This syn- appear to fall into two general categories. Firstly, ergetic effect is usually called the Baldwin effect. This has it is commonly believed that the Baldwin effect is produced the misleading impression that there is nothing concerned with the synergy that results when more to the Baldwin effect than synergy. A myth or legend there is an evolving population of learning indi- has arisen that the Baldwin effect is simply a special viduals. This is only half of the story. The full instance of synergy. One of the goals of this paper is to story is more complicated and more interesting. dispel this myth. The Baldwin effect is concerned with the costs Roughly speaking (we will be more precise later), the and benefits of lifetime learning by individuals in Baldwin effect has two aspects. First, lifetime learning in an evolving population. Several researchers have individuals can, in some situations, accelerate evolution. focussed exclusively on the benefits, but there is Second, learning is expensive. Therefore, in relatively sta- much to be gained from attention to the costs. -
Principles of Differentiation and Morphogenesis
Swarthmore College Works Biology Faculty Works Biology 2016 Principles Of Differentiation And Morphogenesis Scott F. Gilbert Swarthmore College, [email protected] R. Rice Follow this and additional works at: https://works.swarthmore.edu/fac-biology Part of the Biology Commons Let us know how access to these works benefits ouy Recommended Citation Scott F. Gilbert and R. Rice. (2016). 3rd. "Principles Of Differentiation And Morphogenesis". Epstein's Inborn Errors Of Development: The Molecular Basis Of Clinical Disorders On Morphogenesis. 9-21. https://works.swarthmore.edu/fac-biology/436 This work is brought to you for free by Swarthmore College Libraries' Works. It has been accepted for inclusion in Biology Faculty Works by an authorized administrator of Works. For more information, please contact [email protected]. 2 Principles of Differentiation and Morphogenesis SCOTT F. GILBERT AND RITVA RICE evelopmental biology is the science connecting genetics with transcription factors, such as TFHA and TFIIH, help stabilize the poly anatomy, making sense out of both. The body builds itself from merase once it is there (Kostrewa et al. 2009). Dthe instructions of the inherited DNA and the cytoplasmic system that Where and when a gene is expressed depends on another regula interprets the DNA into genes and creates intracellular and cellular tory unit of the gene, the enhancer. An enhancer is a DNA sequence networks to generate the observable phenotype. Even ecological fac that can activate or repress the utilization of a promoter, controlling tors such as diet and stress may modify the DNA such that different the efficiency and rate of transcription from that particular promoter. -
Lamarck's Ladder
Lamarck’s Ladder Overview Darwinism is a theory of biological evolution developed by the English naturalist Charles Darwin (1809–1882) and others. It states that all species of organisms arise and develop through the natural selection of small, inherited variations that increase the individual's ability to compete, survive, and reproduce. The environment plays a critical role in the natural selection process of Darwinian evolution through the phenotypic variation produced over time by small genetic changes to the DNA sequence, such as beneficial random mutations. However, the vast majority of environmental factors cannot directly alter DNA sequence. Jean-Baptiste Pierre Antoine de Monet, chevalier de Lamarck (1744 – 1829), often known simply as Lamarck, was a French naturalist. Before Darwin, Lamarck was one of the first scientists to support the Theory of Evolution. His theory was that species evolved based on the behavior of their parents. His hypothesis stated that an organism can pass on phenotypes acquired because of environmental pressures within their lifetime and pass them to its offspring. One of his most famous examples is his explanation of a giraffe’s long neck. He proposed that the continuous stretching of the neck by the giraffe to reach higher and higher leaves caused the muscles in the neck to strengthen and gradually lengthen over a period of time, which gave rise to longer necks in giraffes. Lamarck’s hypothesis was rejected and later became associated with flawed science concepts. However, scientists today debate whether advances in the field of transgenerational epigenetics indicate that Lamarck was correct, at least to some extent. -
From Genotype to Phenotype: a Shortcut Through the Library
RESEARCH HIGHLIGHTS URLs BIOINFORMATICS From genotype to phenotype: a shortcut through the library A list of genes tells you little about 11,026 orthologous gene sets were PLoS Biol. 3, e134 (2005) WEB SITES their biological roles: understanding identified from the STRING (search Peer Bork’s laboratory: http://www-db.embl.de/ this generally requires time-con- tool for the retrieval of interacting jss/EmblGroupsHD/g_27.html suming functional or comparative genes/proteins) database, defining The STRING database: http://string.embl.de studies. A new method provides a shared sets of genes. shortcut on this path from genotype The final stage was to look for to phenotype — it uses a combina- correlations between the groupings tion of comparative genomics and of MEDLINE nouns and the group- literature mining to predict the ings of shared genes. Bork and col- functions of large sets of sequenced leagues identified 2,700 significant genes. associations between orthologous Peer Bork and colleagues rea- groups and trait words, which soned that if a group of species has a allowed them to relate 28,888 genes shared phenotypic trait, orthologous to at least one trait. Among these genes shared among the species are associations, many of the gene–phe- likely to be involved in the underly- notype associations were already ing biological process. Such geno- known, confirming the validity of type–phenotype correlations have the method. However, many new been made in the past, but required discoveries were also made. For initial manual collection of pheno- example, previously unknown asso- typic information for each species, ciations were made between a group which is labour-intensive and might of metabolic genes and trait words lead to biases in the phenotypes linked to food poisoning.