Literature DB >> 16616896

Critical appraisal of DNA microarrays in psychiatric genomics.

Károly Mirnics1, Pat Levitt, David A Lewis.   

Abstract

Transcriptome profiling using DNA microarrays are data-driven approaches with the potential to uncover unanticipated relationships between gene expression alterations and psychiatric disorders. Studies to date have yielded both convergent and divergent findings. Differences may be explained, at least in part, by the use of a variety of microarray platforms and analytical approaches. Consistent findings across studies suggest, however, that important relationships may exist between altered gene expression and genetic susceptibility to psychiatric disorders. For example, GAD67, RGS4, DTNBP1, NRG1, and GABRAB2 show expression alterations in the postmortem brain of subjects with schizophrenia, and these genes have been also implicated as putative, heritable schizophrenia susceptibility genes. Thus, we propose that for some genes, altered expression in the postmortem human brain may have a dual origin: polymorphisms in the candidate genes themselves or upstream genetic-environmental factors that converge to alter their expression level. We hypothesize that certain gene products, which function as "molecular hubs," commonly show altered expression in psychiatric disorders and confer genetic susceptibility for one or more diseases. Microarray gene expression studies are ideally suited to reveal these putative disease-associated molecular hubs and to identify promising candidates for genetic association studies.

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Year:  2006        PMID: 16616896     DOI: 10.1016/j.biopsych.2006.02.003

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  54 in total

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Authors:  Paul D Shilling; Richard L Saint Marie; Jody M Shoemaker; Neal R Swerdlow
Journal:  Biol Psychiatry       Date:  2008-02-20       Impact factor: 13.382

Review 2.  Gene expression in the etiology of schizophrenia.

Authors:  Nicholas J Bray
Journal:  Schizophr Bull       Date:  2008-03-11       Impact factor: 9.306

Review 3.  Stress, genes and the biology of suicidal behavior.

Authors:  Dianne Currier; J John Mann
Journal:  Psychiatr Clin North Am       Date:  2008-06

Review 4.  Gene expression profiling of the brain: pondering facts and fiction.

Authors:  Amanda C Mitchell; Károly Mirnics
Journal:  Neurobiol Dis       Date:  2011-06-14       Impact factor: 5.996

5.  Modulation of behavioral networks by selective interneuronal inactivation.

Authors:  M J Schmidt; S Horvath; P Ebert; J L Norris; E H Seeley; J Brown; L Gellert; M Everheart; K A Garbett; T W Grice; R M Caprioli; K Mirnics
Journal:  Mol Psychiatry       Date:  2013-12-10       Impact factor: 15.992

Review 6.  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

7.  Molecular consequences of altered neuronal cholesterol biosynthesis.

Authors:  Zeljka Korade; Anne K Kenworthy; Károly Mirnics
Journal:  J Neurosci Res       Date:  2009-03       Impact factor: 4.164

8.  Haloperidol Selectively Remodels Striatal Indirect Pathway Circuits.

Authors:  Luke E Sebel; Steven M Graves; C Savio Chan; D James Surmeier
Journal:  Neuropsychopharmacology       Date:  2016-08-31       Impact factor: 7.853

9.  Alterations in GABA-related transcriptome in the dorsolateral prefrontal cortex of subjects with schizophrenia.

Authors:  T Hashimoto; D Arion; T Unger; J G Maldonado-Avilés; H M Morris; D W Volk; K Mirnics; D A Lewis
Journal:  Mol Psychiatry       Date:  2007-05-01       Impact factor: 15.992

10.  Transcriptomic analysis of postmortem brain identifies dysregulated splicing events in novel candidate genes for schizophrenia.

Authors:  Ori S Cohen; Sarah Y Mccoy; Frank A Middleton; Sean Bialosuknia; Yanli Zhang-James; Lu Liu; Ming T Tsuang; Stephen V Faraone; Stephen J Glatt
Journal:  Schizophr Res       Date:  2012-10-09       Impact factor: 4.939

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