Literature DB >> 25503496

The clinical utility of molecular karyotyping for neurocognitive phenotypes in a consanguineous population.

Sarah M Al-Qattan1, Salma M Wakil1, Shamsa Anazi1, Anas M Alazami1, Nisha Patel1, Ranad Shaheen1, Hanan E Shamseldin1, Samya T Hagos1, Haya M AlDossari1, Mustafa A Salih2, Heba Y El Khashab2,3, Amal Y Kentab2, Mohammed N AlNasser2, Fahad A Bashiri2, Namik Kaya1, Mais O Hashem1, Fowzan S Alkuraya1,4.   

Abstract

PURPOSE: Molecular karyotyping has rapidly become the test of choice in patients with neurocognitive phenotypes, but studies of its clinical utility have largely been limited to outbred populations. In consanguineous populations, single-gene recessive causes of neurocognitive phenotypes are expected to account for a relatively high percentage of cases, thus diminishing the yield of molecular karyotyping. The aim of this study was to test the clinical yield of molecular karyotyping in the highly consanguineous population of Saudi Arabia.
METHODS: We have reviewed the data of 584 patients with neurocognitive phenotypes (mainly referred from pediatric neurology clinics), all evaluated by a single clinical geneticist.
RESULTS: At least 21% of tested cases had chromosomal aberrations that are likely disease-causing. These changes include both known and novel deletion syndromes. The higher yield of molecular karyotyping in this study as compared with the commonly cited 11% can be explained by our ability to efficiently identify single-gene disorders, thus enriching the samples that underwent molecular karyotyping for de novo chromosomal aberrations. We show that we were able to identify a causal mutation in 37% of cases on a clinical basis with the help of autozygome analysis, thus bypassing the need for molecular karyotyping.
CONCLUSION: Our study confirms the clinical utility of molecular karyotyping even in highly consanguineous populations.

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Year:  2014        PMID: 25503496     DOI: 10.1038/gim.2014.184

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  29 in total

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Authors:  M Shoukier; N Klein; B Auber; J Wickert; J Schröder; B Zoll; P Burfeind; I Bartels; E A Alsat; M Lingen; P Grzmil; S Schulze; J Keyser; D Weise; M Borchers; E Hobbiebrunken; M Röbl; J Gärtner; K Brockmann; B Zirn
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Review 2.  The prevalence of mental retardation: a critical review of recent literature.

Authors:  N Roeleveld; G A Zielhuis; F Gabreëls
Journal:  Dev Med Child Neurol       Date:  1997-02       Impact factor: 5.449

3.  A parallel study of different array-CGH platforms in a set of Spanish patients with developmental delay and intellectual disability.

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Journal:  Gene       Date:  2013-03-19       Impact factor: 3.688

4.  Additional cryptic CNVs in mentally retarded patients with apparently balanced karyotypes.

Authors:  Antoinet C J Gijsbers; Cathy A J Bosch; Johannes G Dauwerse; Osdilly Giromus; Kerstin Hansson; Yvonne Hilhorst-Hofstee; Marjolein Kriek; Arie van Haeringen; Emilia K Bijlsma; Egbert Bakker; Martijn H Breuning; Claudia A L Ruivenkamp
Journal:  Eur J Med Genet       Date:  2010-06-11       Impact factor: 2.708

Review 5.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.

Authors:  David T Miller; Margaret P Adam; Swaroop Aradhya; Leslie G Biesecker; Arthur R Brothman; Nigel P Carter; Deanna M Church; John A Crolla; Evan E Eichler; Charles J Epstein; W Andrew Faucett; Lars Feuk; Jan M Friedman; Ada Hamosh; Laird Jackson; Erin B Kaminsky; Klaas Kok; Ian D Krantz; Robert M Kuhn; Charles Lee; James M Ostell; Carla Rosenberg; Stephen W Scherer; Nancy B Spinner; Dimitri J Stavropoulos; James H Tepperberg; Erik C Thorland; Joris R Vermeesch; Darrel J Waggoner; Michael S Watson; Christa Lese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2010-05-14       Impact factor: 11.025

6.  A new highly penetrant form of obesity due to deletions on chromosome 16p11.2.

Authors:  R G Walters; S Jacquemont; A Valsesia; A J de Smith; D Martinet; J Andersson; M Falchi; F Chen; J Andrieux; S Lobbens; B Delobel; F Stutzmann; J S El-Sayed Moustafa; J-C Chèvre; C Lecoeur; V Vatin; S Bouquillon; J L Buxton; O Boute; M Holder-Espinasse; J-M Cuisset; M-P Lemaitre; A-E Ambresin; A Brioschi; M Gaillard; V Giusti; F Fellmann; A Ferrarini; N Hadjikhani; D Campion; A Guilmatre; A Goldenberg; N Calmels; J-L Mandel; C Le Caignec; A David; B Isidor; M-P Cordier; S Dupuis-Girod; A Labalme; D Sanlaville; M Béri-Dexheimer; P Jonveaux; B Leheup; K Ounap; E G Bochukova; E Henning; J Keogh; R J Ellis; K D Macdermot; M M van Haelst; C Vincent-Delorme; G Plessis; R Touraine; A Philippe; V Malan; M Mathieu-Dramard; J Chiesa; B Blaumeiser; R F Kooy; R Caiazzo; M Pigeyre; B Balkau; R Sladek; S Bergmann; V Mooser; D Waterworth; A Reymond; P Vollenweider; G Waeber; A Kurg; P Palta; T Esko; A Metspalu; M Nelis; P Elliott; A-L Hartikainen; M I McCarthy; L Peltonen; L Carlsson; P Jacobson; L Sjöström; N Huang; M E Hurles; S O'Rahilly; I S Farooqi; K Männik; M-R Jarvelin; F Pattou; D Meyre; A J Walley; L J M Coin; A I F Blakemore; P Froguel; J S Beckmann
Journal:  Nature       Date:  2010-02-04       Impact factor: 49.962

7.  10p11.2 to 10q11.2 is a yet unreported region leading to unbalanced chromosomal abnormalities without phenotypic consequences.

Authors:  T Liehr; M Stumm; R D Wegner; S Bhatt; P Hickmann; P C Patsalis; M Meins; S Morlot; V Klaschka; E Ewers; S Hinreiner; K Mrasek; N Kosyakova; W W Cai; S W Cheung; A Weise
Journal:  Cytogenet Genome Res       Date:  2009-04-15       Impact factor: 1.636

8.  An 18-year follow-up report on an infant with a duplication of 9q34.

Authors:  Erin L Youngs; Timothy McCord; Jessica A Hellings; Nancy B Spinner; Adele Schneider; Merlin G Butler
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9.  Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus.

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Journal:  Nature       Date:  2011-08-31       Impact factor: 49.962

10.  ACMG Standards and Guidelines for constitutional cytogenomic microarray analysis, including postnatal and prenatal applications: revision 2013.

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Journal:  Genet Med       Date:  2013-09-26       Impact factor: 8.822

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1.  Clinical genomics expands the morbid genome of intellectual disability and offers a high diagnostic yield.

Authors:  S Anazi; S Maddirevula; E Faqeih; H Alsedairy; F Alzahrani; H E Shamseldin; N Patel; M Hashem; N Ibrahim; F Abdulwahab; N Ewida; H S Alsaif; H Al Sharif; W Alamoudi; A Kentab; F A Bashiri; M Alnaser; A H AlWadei; M Alfadhel; W Eyaid; A Hashem; A Al Asmari; M M Saleh; A AlSaman; K A Alhasan; M Alsughayir; M Al Shammari; A Mahmoud; Z N Al-Hassnan; M Al-Husain; R Osama Khalil; N Abd El Meguid; A Masri; R Ali; T Ben-Omran; P El Fishway; A Hashish; A Ercan Sencicek; M State; A M Alazami; M A Salih; N Altassan; S T Arold; M Abouelhoda; S M Wakil; D Monies; R Shaheen; F S Alkuraya
Journal:  Mol Psychiatry       Date:  2016-07-19       Impact factor: 15.992

2.  A null mutation in TNIK defines a novel locus for intellectual disability.

Authors:  Shams Anazi; Hanan E Shamseldin; Dhekra AlNaqeb; Mohamed Abouelhoda; Dorota Monies; Mustafa A Salih; Khalid Al-Rubeaan; Fowzan S Alkuraya
Journal:  Hum Genet       Date:  2016-04-22       Impact factor: 4.132

3.  Resolution of Disease Phenotypes Resulting from Multilocus Genomic Variation.

Authors:  Jennifer E Posey; Tamar Harel; Pengfei Liu; Jill A Rosenfeld; Regis A James; Zeynep H Coban Akdemir; Magdalena Walkiewicz; Weimin Bi; Rui Xiao; Yan Ding; Fan Xia; Arthur L Beaudet; Donna M Muzny; Richard A Gibbs; Eric Boerwinkle; Christine M Eng; V Reid Sutton; Chad A Shaw; Sharon E Plon; Yaping Yang; James R Lupski
Journal:  N Engl J Med       Date:  2016-12-07       Impact factor: 91.245

4.  Comprehensive gene panels provide advantages over clinical exome sequencing for Mendelian diseases.

Authors: 
Journal:  Genome Biol       Date:  2015-06-26       Impact factor: 13.583

5.  RhoGTPase Regulators Orchestrate Distinct Stages of Synaptic Development.

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Journal:  PLoS One       Date:  2017-01-23       Impact factor: 3.240

6.  Long contiguous stretches of homozygosity detected by chromosomal microarrays (CMA) in patients with neurodevelopmental disorders in the South of Brazil.

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7.  Recessive multiple epiphyseal dysplasia and Stargardt disease in two sisters.

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Review 8.  The Cytoscan HD Array in the Diagnosis of Neurodevelopmental Disorders.

Authors:  Francesca Scionti; Maria Teresa Di Martino; Licia Pensabene; Valentina Bruni; Daniela Concolino
Journal:  High Throughput       Date:  2018-09-14
  8 in total

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