Neurofibromatosis Type 1 with Cherubism-Like Phenotype, Multiple
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Blueprint Genetics Hereditary Leukemia Panel
Hereditary Leukemia Panel Test code: ON0101 Is a 41 gene panel that includes assessment of non-coding variants. Is ideal for patients with a personal history of a syndrome that confers an increased risk of leukemia or patients with a family history of a syndrome that confers an increased risk of leukemia. About Hereditary Leukemia An inherited predisposition to hematological malignancies, namely acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), and bone marrow myelodysplastic syndrome (MDS) may be associated with syndromic features or occur as the principal clinical feature. MDSs and AMLs can occur in the context of syndromic bone marrow failure (eg. dyskeratosis congenita, Fanconi anemia). Other hereditary syndromes with an increased risk of leukemia include Li-Fraumeni syndrome (TP53), ataxia telangiectasia (ATM), Bloom syndrome (BLM), neurofibromatosis type 1 (NF1) and less frequently Noonan syndrome (PTPN11, CBL). Some reports have also shown an association of biallelic germline mutations in constitutional mismatch repair-deficiency syndrome genes, MLH1, MSH2, MSH6, and PMS2 with the development of ALL. Isolated hematological malignancies are associated with germline mutations in RUNX1 (familial platelet syndrome with predisposition to acute myelogenous leukemia), CEBPA (familial AML), GATA2 (GATA2-associated syndromes) and DDX41(DDX41 -related myeloid neoplasms). There is a rapidly expanding list of germline mutations associated with increased risks for myeloid malignancies and inherited predisposition to hematologic malignancies may be more common than has been thought. Many different genetic defects associated with the development of leukemia have been described but the common underlying mechanism is a dysfunctional DNA damage response. Recognition of an inherited cause provides a specific molecular diagnosis and helps to guide treatment, understand unique disease features, prognosis and other organ systems that may be involved, and identify others in the family who may be at risk. -
Benign Fibro-Osseous Lesions Plus…
“Vision is the art of seeing things invisible.” Jonathan Swift 1667 - 1745 Benign Fibro-osseous Lesions Plus… Steven R. Singer, DDS [email protected] 212.305.5674 Benign Fibro-osseous Lesions Fibrous Dysplasia A group of lesions in which normal bone is Localized change in bone metabolism replaced initially by fibrous connective tissue Normal cancellous bone is replaced by Over time, the lesion is infiltrated by osteoid fibrous connective tissue and cementoid tissue The connective tissue contains varying amounts of abnormal bone with irregular This is a benign and idiopathic process trabeculae Trabeculae are randomly oriented. (Remember that normal trabeculae are aligned to respond to stress) Fibrous Dysplasia Fibrous Dysplasia Lesions may be solitary (monostotic) or Fibrous dysplasia is non-hereditary involve more than one bone (polyostotic) Caused by a mutation in a somatic cell. Monostotic form accounts for 70% of all Extent of lesions depends on the timing of cases the mutation. Polyostotic form is more common in the first If the mutation occurs earlier, the disease decade will be more widespread throughout the M=F except in McCune-Albright syndrome, body. An example is McCune-Albright which is almost exclusively found in females Syndrome 1 Fibrous Dysplasia Fibrous Dysplasia McCune-Albright Syndrome • Monostotic and polyostotic forms usually -Almost exclusively begins in the second decade of life females -Polyostotic fibrous • Slow, painless expansion of the jaws dysplasia • Patients may complain of swelling or have -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Phenotypic and Genotypic Characterisation of Noonan-Like
1of5 ELECTRONIC LETTER J Med Genet: first published as 10.1136/jmg.2004.024091 on 2 February 2005. Downloaded from Phenotypic and genotypic characterisation of Noonan-like/ multiple giant cell lesion syndrome J S Lee, M Tartaglia, B D Gelb, K Fridrich, S Sachs, C A Stratakis, M Muenke, P G Robey, M T Collins, A Slavotinek ............................................................................................................................... J Med Genet 2005;42:e11 (http://www.jmedgenet.com/cgi/content/full/42/2/e11). doi: 10.1136/jmg.2004.024091 oonan-like/multiple giant cell lesion syndrome (NL/ MGCLS; OMIM 163955) is a rare condition1–3 with Key points Nphenotypic overlap with Noonan’s syndrome (OMIM 163950) and cherubism (OMIM 118400) (table 1). N Noonan-like/multiple giant cell lesion syndrome (NL/ Recently, missense mutations in the PTPN11 gene on MGCLS) has clinical similarities with Noonan’s syn- chromosome 12q24.1 have been identified as the cause of drome and cherubism. It is unclear whether it is a Noonan’s syndrome in 45% of familial and sporadic cases,45 distinct entity or a variant of Noonan’s syndrome or indicating genetic heterogeneity within the syndrome. In the cherubism. 5 study by Tartaglia et al, there was a family in which three N Three unrelated patients with NL/MGCLS were char- members had features of Noonan’s syndrome; two of these acterised, two of whom were found to have mutations had incidental mandibular giant cell lesions.3 All three in the PTPN11 gene, the mutation found in 45% of members were found to have a PTPN11 mutation known to patients with Noonan’s syndrome. -
Utilization of Genomic Sequencing for Population Screening of Immunodeficiencies in the Newborn
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Utilization of genomic sequencing for population screening of immunodeficiencies in the newborn Ashleigh R. Pavey, MD1,2,3, Dale L. Bodian, PhD3, Thierry Vilboux, PhD3, Alina Khromykh, MD3, Natalie S. Hauser, MD3,4, Kathi Huddleston, PhD3, Elisabeth Klein, DNP3, Aaron Black, MS3, Megan S. Kane, PhD3, Ramaswamy K. Iyer, PhD3, John E. Niederhuber, MD3,5 and Benjamin D. Solomon, MD3,4,6 Purpose: Immunodeficiency screening has been added to many Results: WGS provides adequate coverage for most known state-directed newborn screening programs. The current metho- immunodeficiency-related genes. 13,476 distinct variants and dology is limited to screening for severe T-cell lymphopenia 8,502 distinct predicted protein-impacting variants were identified disorders. We evaluated the potential of genomic sequencing to in this cohort; five individuals carried potentially pathogenic augment current newborn screening for immunodeficiency, – variants requiring expert clinical correlation. One clinically including identification of non T cell disorders. asymptomatic individual was found genomically to have comple- Methods: We analyzed whole-genome sequencing (WGS) and ment component 9 deficiency. Of the symptomatic children, one clinical data from a cohort of 1,349 newborn–parent trios by was molecularly identified as having an immunodeficiency condi- genotype-first and phenotype-first approaches. For the genotype- tion and two were found to have other molecular diagnoses. first approach, we analyzed predicted protein-impacting variants in Conclusion: Neonatal genomic sequencing can potentially aug- 329 immunodeficiency-related genes in the WGS data. As a ment newborn screening for immunodeficiency. phenotype-first approach, electronic health records were used to identify children with clinical features suggestive of immunodefi- Genet Med advance online publication 15 June 2017 ciency. -
Cardiomyopathy Precision Panel Overview Indications
Cardiomyopathy Precision Panel Overview Cardiomyopathies are a group of conditions with a strong genetic background that structurally hinder the heart to pump out blood to the rest of the body due to weakness in the heart muscles. These diseases affect individuals of all ages and can lead to heart failure and sudden cardiac death. If there is a family history of cardiomyopathy it is strongly recommended to undergo genetic testing to be aware of the family risk, personal risk, and treatment options. Most types of cardiomyopathies are inherited in a dominant manner, which means that one altered copy of the gene is enough for the disease to present in an individual. The symptoms of cardiomyopathy are variable, and these diseases can present in different ways. There are 5 types of cardiomyopathies, the most common being hypertrophic cardiomyopathy: 1. Hypertrophic cardiomyopathy (HCM) 2. Dilated cardiomyopathy (DCM) 3. Restrictive cardiomyopathy (RCM) 4. Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) 5. Isolated Left Ventricular Non-Compaction Cardiomyopathy (LVNC). The Igenomix Cardiomyopathy Precision Panel serves as a diagnostic and tool ultimately leading to a better management and prognosis of the disease. It provides a comprehensive analysis of the genes involved in this disease using next-generation sequencing (NGS) to fully understand the spectrum of relevant genes. Indications The Igenomix Cardiomyopathy Precision Panel is indicated in those cases where there is a clinical suspicion of cardiomyopathy with or without the following manifestations: - Shortness of breath - Fatigue - Arrythmia (abnormal heart rhythm) - Family history of arrhythmia - Abnormal scans - Ventricular tachycardia - Ventricular fibrillation - Chest Pain - Dizziness - Sudden cardiac death in the family 1 Clinical Utility The clinical utility of this panel is: - The genetic and molecular diagnosis for an accurate clinical diagnosis of a patient with personal or family history of cardiomyopathy, channelopathy or sudden cardiac death. -
Cherubism As a Systemic Skeletal Disease
Morice et al. BMC Musculoskeletal Disorders (2020) 21:564 https://doi.org/10.1186/s12891-020-03580-z CASE REPORT Open Access Cherubism as a systemic skeletal disease: evidence from an aggressive case Anne Morice1,2,3,4*, Aline Joly3,4, Manon Ricquebourg5,6, Gérard Maruani2,7,8, Emmanuel Durand9, Louise Galmiche2,10, Jeanne Amiel2,11, Yoann Vial12,13, Hélène Cavé12,13, Kahina Belhous14, Marie Piketty15, Martine Cohen-Solal6, Ariane Berdal1,16, Corinne Collet5,6, Arnaud Picard1,2,3,4, Amelie E. Coudert1,6,16† and Natacha Kadlub1,2,3,4† Abstract Background: Cherubism is a rare autosomal dominant genetic condition caused by mutations in the SH3BP2 gene. This disease is characterized by osteolysis of the jaws, with the bone replaced by soft tissue rich in fibroblasts and multinuclear giant cells. SH3BP2 is a ubiquitous adaptor protein yet the consequences of SH3BP2 mutation have so far been described as impacting only face. Cherubism mouse models have been generated and unlike human patients, the knock-in mice exhibit systemic bone loss together with a systemic inflammation. Case presentation: In light of these observations, we decided to search for a systemic cherubism phenotype in a 6-year-old girl with an aggressive cherubism. We report here the first case of cherubism with systemic manifestations. Bone densitometry showed low overall bone density (total body Z-score = − 4.6 SD). Several markers of bone remodelling (CTx,BALP,P1NP)aswellasinflammation(TNFα and IL-1) were elevated. A causative second-site mutation in other genes known to influence bone density was ruled out by sequencing a panel of such genes. -
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. -
Neoreviews Quiz
Birthmarks of Potential Medical Significance Jacinto A. Hernández and Joseph G. Morelli NeoReviews 2003;4;263 DOI: 10.1542/neo.4-10-e263 The online version of this article, along with updated information and services, is located on the World Wide Web at: http://neoreviews.aappublications.org/cgi/content/full/neoreviews;4/10/e263 NeoReviews is the official journal of the American Academy of Pediatrics. A monthly publication, it has been published continuously since 2000. NeoReviews is owned, published, and trademarked by the American Academy of Pediatrics, 141 Northwest Point Boulevard, Elk Grove Village, Illinois, 60007. Copyright © 2003 by the American Academy of Pediatrics. All rights reserved. Online ISSN: 1526-9906. Downloaded from http://neoreviews.aappublications.org by J Michael Coleman on August 19, 2010 Article dermatology Birthmarks of Potential Medical Significance Jacinto A. Herna´ndez, Objectives After completing this article, readers should be able to: MD*, Joseph G. Morelli, MD† 1. Describe the clinical manifestations of neurofibromatosis type 1. 2. List conditions associated with cafe´au lait macules. 3. Explain the clinical significance of congenital melanocytic nevi. 4. Characterize tuberous sclerosis complex. 5. List the two syndromes associated with port-wine stains and extracutaneous abnormalities. 6. Categorize and describe the three types of hemangiomas. Introduction Birthmarks are common (ϳ8% to 10%) in newborns. Most birthmarks represent vascular and pigmentary lesions. The natural history of these lesions varies from being transient phenomena and essentially normal variants of no clinical significance to permanent cutaneous abnormalities that may be associated with significant systemic complications or diseases. Table 1 lists some neonatal skin lesions that should be recognized by the clinician as clues to more serious disorders. -
MECHANISMS in ENDOCRINOLOGY: Novel Genetic Causes of Short Stature
J M Wit and others Genetics of short stature 174:4 R145–R173 Review MECHANISMS IN ENDOCRINOLOGY Novel genetic causes of short stature 1 1 2 2 Jan M Wit , Wilma Oostdijk , Monique Losekoot , Hermine A van Duyvenvoorde , Correspondence Claudia A L Ruivenkamp2 and Sarina G Kant2 should be addressed to J M Wit Departments of 1Paediatrics and 2Clinical Genetics, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, Email The Netherlands [email protected] Abstract The fast technological development, particularly single nucleotide polymorphism array, array-comparative genomic hybridization, and whole exome sequencing, has led to the discovery of many novel genetic causes of growth failure. In this review we discuss a selection of these, according to a diagnostic classification centred on the epiphyseal growth plate. We successively discuss disorders in hormone signalling, paracrine factors, matrix molecules, intracellular pathways, and fundamental cellular processes, followed by chromosomal aberrations including copy number variants (CNVs) and imprinting disorders associated with short stature. Many novel causes of GH deficiency (GHD) as part of combined pituitary hormone deficiency have been uncovered. The most frequent genetic causes of isolated GHD are GH1 and GHRHR defects, but several novel causes have recently been found, such as GHSR, RNPC3, and IFT172 mutations. Besides well-defined causes of GH insensitivity (GHR, STAT5B, IGFALS, IGF1 defects), disorders of NFkB signalling, STAT3 and IGF2 have recently been discovered. Heterozygous IGF1R defects are a relatively frequent cause of prenatal and postnatal growth retardation. TRHA mutations cause a syndromic form of short stature with elevated T3/T4 ratio. Disorders of signalling of various paracrine factors (FGFs, BMPs, WNTs, PTHrP/IHH, and CNP/NPR2) or genetic defects affecting cartilage extracellular matrix usually cause disproportionate short stature. -
Practice Parameter for the Diagnosis and Management of Primary Immunodeficiency
Practice parameter Practice parameter for the diagnosis and management of primary immunodeficiency Francisco A. Bonilla, MD, PhD, David A. Khan, MD, Zuhair K. Ballas, MD, Javier Chinen, MD, PhD, Michael M. Frank, MD, Joyce T. Hsu, MD, Michael Keller, MD, Lisa J. Kobrynski, MD, Hirsh D. Komarow, MD, Bruce Mazer, MD, Robert P. Nelson, Jr, MD, Jordan S. Orange, MD, PhD, John M. Routes, MD, William T. Shearer, MD, PhD, Ricardo U. Sorensen, MD, James W. Verbsky, MD, PhD, David I. Bernstein, MD, Joann Blessing-Moore, MD, David Lang, MD, Richard A. Nicklas, MD, John Oppenheimer, MD, Jay M. Portnoy, MD, Christopher R. Randolph, MD, Diane Schuller, MD, Sheldon L. Spector, MD, Stephen Tilles, MD, Dana Wallace, MD Chief Editor: Francisco A. Bonilla, MD, PhD Co-Editor: David A. Khan, MD Members of the Joint Task Force on Practice Parameters: David I. Bernstein, MD, Joann Blessing-Moore, MD, David Khan, MD, David Lang, MD, Richard A. Nicklas, MD, John Oppenheimer, MD, Jay M. Portnoy, MD, Christopher R. Randolph, MD, Diane Schuller, MD, Sheldon L. Spector, MD, Stephen Tilles, MD, Dana Wallace, MD Primary Immunodeficiency Workgroup: Chairman: Francisco A. Bonilla, MD, PhD Members: Zuhair K. Ballas, MD, Javier Chinen, MD, PhD, Michael M. Frank, MD, Joyce T. Hsu, MD, Michael Keller, MD, Lisa J. Kobrynski, MD, Hirsh D. Komarow, MD, Bruce Mazer, MD, Robert P. Nelson, Jr, MD, Jordan S. Orange, MD, PhD, John M. Routes, MD, William T. Shearer, MD, PhD, Ricardo U. Sorensen, MD, James W. Verbsky, MD, PhD GlaxoSmithKline, Merck, and Aerocrine; has received payment for lectures from Genentech/ These parameters were developed by the Joint Task Force on Practice Parameters, representing Novartis, GlaxoSmithKline, and Merck; and has received research support from Genentech/ the American Academy of Allergy, Asthma & Immunology; the American College of Novartis and Merck. -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int.