Literature DB >> 24779060

If not Angelman, what is it? A review of Angelman-like syndromes.

Wen-Hann Tan, Lynne M Bird, Ronald L Thibert, Charles A Williams.   

Abstract

Angelman syndrome (AS) is caused by a lack of expression of the maternally inherited UBE3A gene in the brain. However, about 10% of individuals with a clinical diagnosis of AS do not have an identifiable molecular defect. It is likely that most of those individuals have an AS-like syndrome that is clinically and molecularly distinct from AS. These AS-like syndromes can be broadly classified into chromosomal microdeletion and microduplication syndromes, and single-gene disorders. The microdeletion/microduplication syndromes are now easily identified by chromosomal microarray analysis and include Phelan–McDermid syndrome (chromosome 22q13.3 deletion), MBD5 haploinsufficiency syndrome (chromosome 2q23.1 deletion), and KANSL1 haploinsufficiency syndrome (chromosome 17q21.31 deletion). The single-gene disorders include Pitt–Hopkins syndrome (TCF4), Christianson syndrome (SLC9A6), Mowat–Wilson syndrome (ZEB2), Kleefstra syndrome (EHMT1), and Rett (MECP2) syndrome. They also include disorders due to mutations in HERC2, adenylosuccinase lyase (ADSL), CDKL5, FOXG1, MECP2 (duplications), MEF2C, and ATRX. Although many of these single-gene disorders can be caused by chromosomal microdeletions resulting in haploinsufficiency of the critical gene, the individual disorders are often caused by intragenic mutations that cannot be detected by chromosomal microarray analysis. We provide an overview of the clinical features of these syndromes, comparing and contrasting them with AS, in the hope that it will help guide clinicians in the diagnostic work-up of individuals with AS-like syndromes.

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Year:  2014        PMID: 24779060     DOI: 10.1002/ajmg.a.36416

Source DB:  PubMed          Journal:  Am J Med Genet A        ISSN: 1552-4825            Impact factor:   2.802


  42 in total

1.  Dual molecular diagnosis contributes to atypical Prader-Willi phenotype in monozygotic twins.

Authors:  Fernanda S Jehee; Valdirene T de Oliveira; Juliana Gurgel-Giannetti; Rafaella X Pietra; Fernando V M Rubatino; Natália V Carobin; Gabrielle S Vianna; Mariana L de Freitas; Karla S Fernandes; Beatriz S V Ribeiro; Hennie T Brüggenwirth; Roza Ali-Amin; Janson J White; Zeynep C Akdemir; Shalini N Jhangiani; Richard A Gibbs; James R Lupski; Monica C Varela; Célia Koiffmann; Carla Rosenberg; Cláudia M B Carvalho
Journal:  Am J Med Genet A       Date:  2017-06-20       Impact factor: 2.802

Review 2.  Pitt-Hopkins Syndrome: A Review of Current Literature, Clinical Approach, and 23-Patient Case Series.

Authors:  Kimberly Goodspeed; Cassandra Newsom; Mary Ann Morris; Craig Powell; Patricia Evans; Sailaja Golla
Journal:  J Child Neurol       Date:  2018-01-10       Impact factor: 1.987

Review 3.  Angelman Syndrome.

Authors:  Seth S Margolis; Gabrielle L Sell; Mark A Zbinden; Lynne M Bird
Journal:  Neurotherapeutics       Date:  2015-07       Impact factor: 7.620

Review 4.  The genetics of the epilepsies.

Authors:  Christelle M El Achkar; Heather E Olson; Annapurna Poduri; Phillip L Pearl
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5.  Application of high-resolution array comparative genomic hybridization in children with unknown syndromic microcephaly.

Authors:  Eirini Tsoutsou; Maria Tzetis; Krinio Giannikou; Maria Braoudaki; Anastasis Mitrakos; Stella Amenta; Nikoletta Selenti; Emmanouil Kanavakis; Dimitrios Zafeiriou; Sophia Kitsiou-Tzeli; Helena Fryssira
Journal:  Pediatr Res       Date:  2017-05-24       Impact factor: 3.756

6.  Clinical utility gene card for: Angelman Syndrome.

Authors:  Karin Buiting; Jill Clayton-Smith; Daniel J Driscoll; Gabriele Gillessen-Kaesbach; Deniz Kanber; Eberhard Schwinger; Charles Williams; Bernhard Horsthemke
Journal:  Eur J Hum Genet       Date:  2014-06-04       Impact factor: 4.246

7.  Evaluation of DNA Methylation Episignatures for Diagnosis and Phenotype Correlations in 42 Mendelian Neurodevelopmental Disorders.

Authors:  Erfan Aref-Eshghi; Jennifer Kerkhof; Victor P Pedro; Mouna Barat-Houari; Nathalie Ruiz-Pallares; Jean-Christophe Andrau; Didier Lacombe; Julien Van-Gils; Patricia Fergelot; Christèle Dubourg; Valerie Cormier-Daire; Sophie Rondeau; François Lecoquierre; Pascale Saugier-Veber; Gaël Nicolas; Gaetan Lesca; Nicolas Chatron; Damien Sanlaville; Antonio Vitobello; Laurence Faivre; Christel Thauvin-Robinet; Frederic Laumonnier; Martine Raynaud; Mariëlle Alders; Marcel Mannens; Peter Henneman; Raoul C Hennekam; Guillaume Velasco; Claire Francastel; Damien Ulveling; Andrea Ciolfi; Simone Pizzi; Marco Tartaglia; Solveig Heide; Delphine Héron; Cyril Mignot; Boris Keren; Sandra Whalen; Alexandra Afenjar; Thierry Bienvenu; Philippe M Campeau; Justine Rousseau; Michael A Levy; Lauren Brick; Mariya Kozenko; Tugce B Balci; Victoria Mok Siu; Alan Stuart; Mike Kadour; Jennifer Masters; Kyoko Takano; Tjitske Kleefstra; Nicole de Leeuw; Michael Field; Marie Shaw; Jozef Gecz; Peter J Ainsworth; Hanxin Lin; David I Rodenhiser; Michael J Friez; Matt Tedder; Jennifer A Lee; Barbara R DuPont; Roger E Stevenson; Steven A Skinner; Charles E Schwartz; David Genevieve; Bekim Sadikovic
Journal:  Am J Hum Genet       Date:  2020-02-27       Impact factor: 11.025

8.  Common Pathophysiology in Multiple Mouse Models of Pitt-Hopkins Syndrome.

Authors:  Courtney Thaxton; Alexander D Kloth; Ellen P Clark; Sheryl S Moy; Raymond A Chitwood; Benjamin D Philpot
Journal:  J Neurosci       Date:  2017-12-08       Impact factor: 6.167

Review 9.  Angelman syndrome - insights into a rare neurogenetic disorder.

Authors:  Karin Buiting; Charles Williams; Bernhard Horsthemke
Journal:  Nat Rev Neurol       Date:  2016-09-12       Impact factor: 42.937

10.  GABAergic Neuron-Specific Loss of Ube3a Causes Angelman Syndrome-Like EEG Abnormalities and Enhances Seizure Susceptibility.

Authors:  Matthew C Judson; Michael L Wallace; Michael S Sidorov; Alain C Burette; Bin Gu; Geeske M van Woerden; Ian F King; Ji Eun Han; Mark J Zylka; Ype Elgersma; Richard J Weinberg; Benjamin D Philpot
Journal:  Neuron       Date:  2016-03-24       Impact factor: 17.173

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