Literature DB >> 21254553

[Identification of candidate genes of autism on the basis of molecular cytogenetic and in silico studies of the genome organization of chromosomal regions involved in unbalanced rearrangements].

I Iu Iurov, S G Vorsanova, E A Saprina, Iu B Iurov.   

Abstract

Autism is one of the most widely spread mental diseases among children. Different genetic anomalies make a considerable contribution to the etiology of this disease; therefore, the identification of candidate genes of autism can be regarded as a topical task of modern medical genetics. The molecular cytogenetic examination of children with autism was carried out using high-resolution comparative genome hybridization and subsequent in silico analysis of chromosomal regions involved in unbalanced rearrangements. Five of 126 (4%) children with autism had unbalanced rearrangements of chromosomes 5, 17, 21 (deletions) and chromosomes 4 and 22 (duplications). The following candidate genes were identified in children with autism by in silico analysis: SCARB2, TPPP, PDCD6, SEPT5, GP1BB, PI4KA, NPTX1, STCH, NRIP1, and CXADR. These methods also allowed us to find a possible association between gene clusterization and the formation of the described chromosomal rearrangements. Thus, this study demonstrates that the molecular cytogenetic and bioinformatic methods can be successfully used to search for candidate genes of different diseases and analyze the genome organization.

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Year:  2010        PMID: 21254553

Source DB:  PubMed          Journal:  Genetika        ISSN: 0016-6758


  14 in total

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Journal:  Autism Res       Date:  2013-01-29       Impact factor: 5.216

5.  Chaperone stress 70 protein (STCH) binds and regulates two acid/base transporters NBCe1-B and NHE1.

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Journal:  J Biol Chem       Date:  2013-01-09       Impact factor: 5.157

6.  Molecular karyotyping by array CGH in a Russian cohort of children with intellectual disability, autism, epilepsy and congenital anomalies.

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7.  In silico molecular cytogenetics: a bioinformatic approach to prioritization of candidate genes and copy number variations for basic and clinical genome research.

Authors:  Ivan Y Iourov; Svetlana G Vorsanova; Yuri B Yurov
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8.  Expression and Regulatory Network Analysis of miR-140-3p, a New Potential Serum Biomarker for Autism Spectrum Disorder.

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Journal:  Front Mol Neurosci       Date:  2017-08-10       Impact factor: 5.639

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10.  3p22.1p21.31 microdeletion identifies CCK as Asperger syndrome candidate gene and shows the way for therapeutic strategies in chromosome imbalances.

Authors:  Ivan Y Iourov; Svetlana G Vorsanova; Victoria Y Voinova; Yuri B Yurov
Journal:  Mol Cytogenet       Date:  2015-10-31       Impact factor: 2.009

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