Literature DB >> 29948840

Clinical Application of Chromosome Microarray Analysis in Han Chinese Children with Neurodevelopmental Disorders.

Mingyu Xu1, Yiting Ji2, Ting Zhang1, Xiaodong Jiang1,3, Yun Fan1, Juan Geng4, Fei Li5,6.   

Abstract

Chromosome microarray analysis (CMA) is a cost-effective molecular cytogenetic technique that has been used as a first-line diagnostic test in neurodevelopmental disorders in the USA since 2011. The impact of CMA results on clinical practice in China is not yet well studied, so we aimed to better evaluate this phenomenon. We analyzed the CMA results from 434 patients in our clinic, and characterized their molecular diagnoses, clinical features, and follow-up clinical actions based on these results. The overall diagnostic yield for our patients was 13.6% (59 out of 434). This gave a detection rate of 14.7% for developmental delay/intellectual disability (DD/ID, 38/259) and 12% for autism spectrum disorders (ASDs, 21/175). Thirty-three recurrent (n ≥ 2) variants were found, distributed at six chromosomal loci involving known chromosome syndromes (such as DiGeorge, Williams Beuren, and Angelman/Prader-Willi syndromes). The spectrum of positive copy number variants in our study was comparable to that reported in Caucasian populations, but with specific characteristics. Parental origin tests indicated an effect involving a significant maternal transmission bias to sons. The majority of patients with positive results (94.9%) had benefits, allowing earlier diagnosis (36/59), prioritized full clinical management (28/59), medication changes (7/59), a changed prognosis (30/59), and prenatal genetic counseling (15/59). Our results provide information on de novo mutations in Chinese children with DD/ID and/or ASDs. Our data showed that microarray testing provides immediate clinical utility for patients. It is expected that the personalized medical care of children with developmental disabilities will lead to improved outcomes in long-term developmental potential. We advocate using the diagnostic yield of clinically actionable results to evaluate CMA as it provides information of both clinical validity and clinical utility.

Entities:  

Keywords:  Autism spectrum disorder; Chromosome microarray analysis; Chromosome syndrome; Clinical management; Neurodevelopmental disorder

Mesh:

Year:  2018        PMID: 29948840      PMCID: PMC6246839          DOI: 10.1007/s12264-018-0238-2

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.203


  40 in total

Review 1.  Genomic copy number variation in disorders of cognitive development.

Authors:  Eric M Morrow
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2010-11       Impact factor: 8.829

Review 2.  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

3.  Recurrent reciprocal 16p11.2 rearrangements associated with global developmental delay, behavioural problems, dysmorphism, epilepsy, and abnormal head size.

Authors:  Marwan Shinawi; Pengfei Liu; Sung-Hae L Kang; Joseph Shen; John W Belmont; Daryl A Scott; Frank J Probst; William J Craigen; Brett H Graham; Amber Pursley; Gary Clark; Jennifer Lee; Monica Proud; Amber Stocco; Diana L Rodriguez; Beth A Kozel; Steven Sparagana; Elizabeth R Roeder; Susan G McGrew; Thaddeus W Kurczynski; Leslie J Allison; Stephen Amato; Sarah Savage; Ankita Patel; Pawel Stankiewicz; Arthur L Beaudet; Sau Wai Cheung; James R Lupski
Journal:  J Med Genet       Date:  2009-11-12       Impact factor: 6.318

Review 4.  Copy-number variation in the pathogenesis of autism spectrum disorder.

Authors:  Emiko Shishido; Branko Aleksic; Norio Ozaki
Journal:  Psychiatry Clin Neurosci       Date:  2013-12-29       Impact factor: 5.188

5.  The impact of chromosomal microarray on clinical management: a retrospective analysis.

Authors:  Lindsay B Henderson; Carolyn D Applegate; Elizabeth Wohler; Molly B Sheridan; Julie Hoover-Fong; Denise A S Batista
Journal:  Genet Med       Date:  2014-03-13       Impact factor: 8.822

6.  Speech delays and behavioral problems are the predominant features in individuals with developmental delays and 16p11.2 microdeletions and microduplications.

Authors:  Jill A Rosenfeld; Justine Coppinger; Bassem A Bejjani; Santhosh Girirajan; Evan E Eichler; Lisa G Shaffer; Blake C Ballif
Journal:  J Neurodev Disord       Date:  2010-03       Impact factor: 4.025

7.  AutismKB: an evidence-based knowledgebase of autism genetics.

Authors:  Li-Ming Xu; Jia-Rui Li; Yue Huang; Min Zhao; Xing Tang; Liping Wei
Journal:  Nucleic Acids Res       Date:  2011-12-01       Impact factor: 16.971

8.  Maternal Modifiers and Parent-of-Origin Bias of the Autism-Associated 16p11.2 CNV.

Authors:  Michael H Duyzend; Xander Nuttle; Bradley P Coe; Carl Baker; Deborah A Nickerson; Raphael Bernier; Evan E Eichler
Journal:  Am J Hum Genet       Date:  2015-12-31       Impact factor: 11.025

9.  China's shift from population control to population quality: Implications for neurology.

Authors:  Qing Ke; Li Zhang; Chaying He; Zhengyan Zhao; Ming Qi; Robert C Griggs; Michele A Gatheridge
Journal:  Neurology       Date:  2016-08-23       Impact factor: 9.910

10.  Refining analyses of copy number variation identifies specific genes associated with developmental delay.

Authors:  Bradley P Coe; Kali Witherspoon; Jill A Rosenfeld; Bregje W M van Bon; Anneke T Vulto-van Silfhout; Paolo Bosco; Kathryn L Friend; Carl Baker; Serafino Buono; Lisenka E L M Vissers; Janneke H Schuurs-Hoeijmakers; Alex Hoischen; Rolph Pfundt; Nik Krumm; Gemma L Carvill; Deana Li; David Amaral; Natasha Brown; Paul J Lockhart; Ingrid E Scheffer; Antonino Alberti; Marie Shaw; Rosa Pettinato; Raymond Tervo; Nicole de Leeuw; Margot R F Reijnders; Beth S Torchia; Hilde Peeters; Brian J O'Roak; Marco Fichera; Jayne Y Hehir-Kwa; Jay Shendure; Heather C Mefford; Eric Haan; Jozef Gécz; Bert B A de Vries; Corrado Romano; Evan E Eichler
Journal:  Nat Genet       Date:  2014-09-14       Impact factor: 38.330

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  4 in total

1.  Towards the Framework of Understanding Autism Spectrum Disorders.

Authors:  Zilong Qiu; Bo Yuan
Journal:  Neurosci Bull       Date:  2019-11-09       Impact factor: 5.203

2.  A De Novo Variant Identified in the PPP2R1A Gene in an Infant Induces Neurodevelopmental Abnormalities.

Authors:  Yanghui Zhang; Haoxian Li; Hua Wang; Zhengjun Jia; Hui Xi; Xiao Mao
Journal:  Neurosci Bull       Date:  2019-09-17       Impact factor: 5.203

3.  Chromosomal microarray analysis of 410 Han Chinese patients with autism spectrum disorder or unexplained intellectual disability and developmental delay.

Authors:  Yi Liu; Yuqiang Lv; Mehdi Zarrei; Rui Dong; Xiaomeng Yang; Edward J Higginbotham; Yue Li; Dongmei Zhao; Fengling Song; Yali Yang; Haiyan Zhang; Ying Wang; Stephen W Scherer; Zhongtao Gai
Journal:  NPJ Genom Med       Date:  2022-01-12       Impact factor: 8.617

4.  Differences in the importance of microcephaly, dysmorphism, and epilepsy in the detection of pathogenic CNVs in ID and ASD patients.

Authors:  Zuzana Capkova; Pavlina Capkova; Josef Srovnal; Katerina Staffova; Vera Becvarova; Marie Trkova; Katerina Adamova; Alena Santava; Vaclava Curtisova; Marian Hajduch; Martin Prochazka
Journal:  PeerJ       Date:  2019-11-15       Impact factor: 2.984

  4 in total

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