Literature DB >> 26777411

Recurrent copy number variations as risk factors for autism spectrum disorders: analysis of the clinical implications.

V Oikonomakis1, K Kosma1, A Mitrakos1, C Sofocleous1,2, P Pervanidou3, A Syrmou1, A Pampanos1,4, S Psoni1, H Fryssira1, E Kanavakis1,2, S Kitsiou-Tzeli1, M Tzetis1.   

Abstract

Chromosomal microarray analysis (CMA) is currently considered a first-tier diagnostic assay for the investigation of autism spectrum disorders (ASD), developmental delay and intellectual disability of unknown etiology. High-resolution arrays were utilized for the identification of copy number variations (CNVs) in 195 ASD patients of Greek origin (126 males, 69 females). CMA resulted in the detection of 65 CNVs, excluding the known polymorphic copy number polymorphisms also found in the Database of Genomic Variants, for 51/195 patients (26.1%). Parental DNA testing in 20/51 patients revealed that 17 CNVs were de novo, 6 paternal and 3 of maternal origin. The majority of the 65 CNVs were deletions (66.1%), of which 5 on the X-chromosome while the duplications, of which 7 on the X-chromosome, were rarer (22/65, 33.8%). Fifty-one CNVs from a total of 65, reported for our cohort of ASD patients, were of diagnostic significance and well described in the literature while 14 CNVs (8 losses, 6 gains) were characterized as variants of unknown significance and need further investigation. Among the 51 patients, 39 carried one CNV, 10 carried two CNVs and 2 carried three CNVs. The use of CMA, its clinical validity and utility was assessed.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  autism; autism spectrum disorder; chromosome microarray analysis; copy number variations

Mesh:

Substances:

Year:  2016        PMID: 26777411     DOI: 10.1111/cge.12740

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  14 in total

1.  Haploinsufficiency of the E3 ubiquitin-protein ligase gene TRIP12 causes intellectual disability with or without autism spectrum disorders, speech delay, and dysmorphic features.

Authors:  Jing Zhang; Tomasz Gambin; Bo Yuan; Przemyslaw Szafranski; Jill A Rosenfeld; Mohammed Al Balwi; Abdulrahman Alswaid; Lihadh Al-Gazali; Aisha M Al Shamsi; Makanko Komara; Bassam R Ali; Elizabeth Roeder; Laura McAuley; Daniel S Roy; David K Manchester; Pilar Magoulas; Lauren E King; Vickie Hannig; Dominique Bonneau; Anne-Sophie Denommé-Pichon; Majida Charif; Thomas Besnard; Stéphane Bézieau; Benjamin Cogné; Joris Andrieux; Wenmiao Zhu; Weimin He; Francesco Vetrini; Patricia A Ward; Sau Wai Cheung; Weimin Bi; Christine M Eng; James R Lupski; Yaping Yang; Ankita Patel; Seema R Lalani; Fan Xia; Paweł Stankiewicz
Journal:  Hum Genet       Date:  2017-03-01       Impact factor: 4.132

Review 2.  Emerging biomarkers in autism spectrum disorder: a systematic review.

Authors:  Richard E Frye; Sarah Vassall; Gurjot Kaur; Christina Lewis; Mohammand Karim; Daniel Rossignol
Journal:  Ann Transl Med       Date:  2019-12

3.  Array-CGH Analysis in a Cohort of Phenotypically Well-Characterized Individuals with "Essential" Autism Spectrum Disorders.

Authors:  Eleonora Napoli; Serena Russo; Laura Casula; Viola Alesi; Filomena Alessandra Amendola; Adriano Angioni; Antonio Novelli; Giovanni Valeri; Deny Menghini; Stefano Vicari
Journal:  J Autism Dev Disord       Date:  2018-02

4.  Duplication of 9p24.3 in three unrelated patients and their phenotypes, considering affected genes, and similar recurrent variants.

Authors:  Zuzana Capkova; Pavlina Capkova; Josef Srovnal; Katerina Adamova; Martin Prochazka; Marian Hajduch
Journal:  Mol Genet Genomic Med       Date:  2021-01-17       Impact factor: 2.183

5.  239-kb Microdeletion Spanning KMT2E in a Child with Developmental Delay: Further Delineation of the Phenotype.

Authors:  Konstantina Kosma; Konstantinos Varvagiannis; Anastasios Mitrakos; Maria Tsipi; Joanne Traeger-Synodinos; Maria Tzetis
Journal:  Mol Syndromol       Date:  2021-07-22

6.  Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder.

Authors:  Areerat Hnoonual; Weerin Thammachote; Thipwimol Tim-Aroon; Kitiwan Rojnueangnit; Tippawan Hansakunachai; Tasanawat Sombuntham; Rawiwan Roongpraiwan; Juthamas Worachotekamjorn; Jariya Chuthapisith; Suthat Fucharoen; Duangrurdee Wattanasirichaigoon; Nichara Ruangdaraganon; Pornprot Limprasert; Natini Jinawath
Journal:  Sci Rep       Date:  2017-09-21       Impact factor: 4.379

7.  Chromosomal microarray analysis in developmental delay and intellectual disability with comorbid conditions.

Authors:  Yanjie Fan; Yanming Wu; Lili Wang; Yu Wang; Zhuwen Gong; Wenjuan Qiu; Jingmin Wang; Huiwen Zhang; Xing Ji; Jun Ye; Lianshu Han; Xingming Jin; Yongnian Shen; Fei Li; Bing Xiao; Lili Liang; Xia Zhang; Xiaomin Liu; Xuefan Gu; Yongguo Yu
Journal:  BMC Med Genomics       Date:  2018-05-24       Impact factor: 3.063

Review 8.  Clinical Assessment, Genetics, and Treatment Approaches in Autism Spectrum Disorder (ASD).

Authors:  Ann Genovese; Merlin G Butler
Journal:  Int J Mol Sci       Date:  2020-07-02       Impact factor: 5.923

Review 9.  Clinical and Molecular Characteristics of Mitochondrial Dysfunction in Autism Spectrum Disorder.

Authors:  Shannon Rose; Dmitriy M Niyazov; Daniel A Rossignol; Michael Goldenthal; Stephen G Kahler; Richard E Frye
Journal:  Mol Diagn Ther       Date:  2018-10       Impact factor: 4.074

10.  Rare structural variants in the DOCK8 gene identified in a cohort of 439 patients with neurodevelopmental disorders.

Authors:  Danijela Krgovic; Nadja Kokalj Vokac; Andreja Zagorac; Hojka Gregoric Kumperscak
Journal:  Sci Rep       Date:  2018-06-21       Impact factor: 4.379

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