Literature DB >> 19526738

Dissecting the many genetic faces of schizophrenia.

Dan Rujescu1, David A Collier.   

Abstract

Abstract. Recent genome-wide association studies in schizophrenia have provided strongest evidence for association and this strengthened when the affected phenotype included bipolar disorder suggesting that genes may not always associate with operationalised diagnostic entities. Several further large Genome Wide Association (GWA) studies on schizophrenia are under way and identified and replicated further loci in well-powered cohorts. The last 2 years have also witnessed an explosion of interest in human Copy Number Variants (CNVs). Deletions recently identified in schizophrenia (1q21.1; 2p16.3; 15q11.2; 15q13.3) have also been most recently found in further neurodevelopmental diseases. Thus, a significant fraction of individuals with neurodevelopmental diseases including schizophrenia carry CNVs and many will be defined as "genomic disorders" in the coming years. These findings could represent a decisive step towards understanding the causes of this severe mental disorder as well as developing new potential treatments. There is new hope that these new avenues will help understanding the neurobiology of schizophrenia in more depth leading to the development of new innovative diagnostic tools and therapies as was the case after the discovery of rare APP and presenilin 1 and 2 mutations in Alzheimer's disease.

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Mesh:

Year:  2009        PMID: 19526738

Source DB:  PubMed          Journal:  Epidemiol Psichiatr Soc        ISSN: 1121-189X


  4 in total

1.  Microdeletions of 3q29 confer high risk for schizophrenia.

Authors:  Jennifer Gladys Mulle; Anne F Dodd; John A McGrath; Paula S Wolyniec; Adele A Mitchell; Amol C Shetty; Nara L Sobreira; David Valle; M Katharine Rudd; Glen Satten; David J Cutler; Ann E Pulver; Stephen T Warren
Journal:  Am J Hum Genet       Date:  2010-08-13       Impact factor: 11.025

2.  A large replication study and meta-analysis in European samples provides further support for association of AHI1 markers with schizophrenia.

Authors:  Andrés Ingason; Ina Giegling; Sven Cichon; Thomas Hansen; Henrik B Rasmussen; Jimmi Nielsen; Gesche Jürgens; Pierandrea Muglia; Annette M Hartmann; Eric Strengman; Catalina Vasilescu; Thomas W Mühleisen; Srdjan Djurovic; Ingrid Melle; Bernard Lerer; Hans-Jürgen Möller; Clyde Francks; Olli P H Pietiläinen; Jouko Lonnqvist; Jaana Suvisaari; Annamari Tuulio-Henriksson; Muriel Walshe; Evangelos Vassos; Marta Di Forti; Robin Murray; Chiara Bonetto; Sarah Tosato; Rita M Cantor; Marcella Rietschel; Nick Craddock; Michael J Owen; Leena Peltonen; Ole A Andreassen; Markus M Nöthen; David St Clair; Roel A Ophoff; Michael C O'Donovan; David A Collier; Thomas Werge; Dan Rujescu
Journal:  Hum Mol Genet       Date:  2010-01-12       Impact factor: 6.150

Review 3.  Machine learning approaches: from theory to application in schizophrenia.

Authors:  Elisa Veronese; Umberto Castellani; Denis Peruzzo; Marcella Bellani; Paolo Brambilla
Journal:  Comput Math Methods Med       Date:  2013-12-09       Impact factor: 2.238

4.  Canonical correlation analysis for RNA-seq co-expression networks.

Authors:  Shengjun Hong; Xiangning Chen; Li Jin; Momiao Xiong
Journal:  Nucleic Acids Res       Date:  2013-03-04       Impact factor: 16.971

  4 in total

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