Literature DB >> 21839838

Gene expression studies in autism: moving from the genome to the transcriptome and beyond.

Irina Voineagu1.   

Abstract

Autism is a clinically and genetically heterogeneous neurodevelopmental disorder. Although multiple genes, risk alleles and copy number variants (CNVs) have been implicated in ASD, none of the currently established genetic causes of ASD accounts for more than 2% of the cases, and a genetic diagnosis is not yet possible for most autism patients. Thus, advancing our understanding of autism genetics requires the integration of genetic information with information on genome function, as provided by transcriptomic data. We review recent autism transcriptome studies, in the context of current knowledge of autism genetics, and discuss the utility of gene expression data in evaluating the functional relevance of genetic variants and identifying common molecular pathways dysregulated in autism.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21839838     DOI: 10.1016/j.nbd.2011.07.017

Source DB:  PubMed          Journal:  Neurobiol Dis        ISSN: 0969-9961            Impact factor:   5.996


  31 in total

1.  Meta-Analysis of Gene Expression in Autism Spectrum Disorder.

Authors:  Carolyn Ch'ng; Willie Kwok; Sanja Rogic; Paul Pavlidis
Journal:  Autism Res       Date:  2015-02-26       Impact factor: 5.216

Review 2.  The Putative Role of Environmental Mercury in the Pathogenesis and Pathophysiology of Autism Spectrum Disorders and Subtypes.

Authors:  G Morris; B K Puri; R E Frye; M Maes
Journal:  Mol Neurobiol       Date:  2017-07-22       Impact factor: 5.590

3.  Neurodevelopmental and neuropsychiatric disorders represent an interconnected molecular system.

Authors:  A S Cristino; S M Williams; Z Hawi; J-Y An; M A Bellgrove; C E Schwartz; L da F Costa; C Claudianos
Journal:  Mol Psychiatry       Date:  2013-02-26       Impact factor: 15.992

4.  Transcriptional consequences of 16p11.2 deletion and duplication in mouse cortex and multiplex autism families.

Authors:  Ian Blumenthal; Ashok Ragavendran; Serkan Erdin; Lambertus Klei; Aarathi Sugathan; Jolene R Guide; Poornima Manavalan; Julian Q Zhou; Vanessa C Wheeler; Joshua Z Levin; Carl Ernst; Kathryn Roeder; Bernie Devlin; James F Gusella; Michael E Talkowski
Journal:  Am J Hum Genet       Date:  2014-06-05       Impact factor: 11.025

Review 5.  Peripheral biomarkers revisited: integrative profiling of peripheral samples for psychiatric research.

Authors:  Akiko Hayashi-Takagi; Marquis P Vawter; Kazuya Iwamoto
Journal:  Biol Psychiatry       Date:  2013-10-18       Impact factor: 13.382

Review 6.  Advancing the discovery of medications for autism spectrum disorder using new technologies to reveal social brain circuitry in rodents.

Authors:  Martien J Kas; Meera E Modi; Michael D Saxe; Daniel G Smith
Journal:  Psychopharmacology (Berl)       Date:  2014-02-13       Impact factor: 4.530

7.  Rapid Detection of Neurodevelopmental Phenotypes in Human Neural Precursor Cells (NPCs).

Authors:  Madeline Williams; Smrithi Prem; Xiaofeng Zhou; Paul Matteson; Percy Luk Yeung; Chi-Wei Lu; Zhiping Pang; Linda Brzustowicz; James H Millonig; Emanuel Dicicco-Bloom
Journal:  J Vis Exp       Date:  2018-03-02       Impact factor: 1.355

Review 8.  Nonsense-mediated mRNA decay: inter-individual variability and human disease.

Authors:  Lam Son Nguyen; Miles F Wilkinson; Jozef Gecz
Journal:  Neurosci Biobehav Rev       Date:  2013-11-14       Impact factor: 8.989

9.  The cerebellum in autism: pathogenic or an anatomical beacon?

Authors:  Mark N Ziats; Owen M Rennert
Journal:  Cerebellum       Date:  2013-10       Impact factor: 3.847

Review 10.  Autism biomarkers: challenges, pitfalls and possibilities.

Authors:  George M Anderson
Journal:  J Autism Dev Disord       Date:  2015-04
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