Literature DB >> 27017833

The potential of genetic and gene expression analysis in the diagnosis of neuropsychiatric disorders.

Joyce van de Leemput1, Stephen J Glatt2, Ming T Tsuang1.   

Abstract

Neuropsychiatric disorders are difficult to diagnose because of phenotypic heterogeneity within and symptomatic overlap between disorders. This review describes how genomics and blood-based gene expression have shown potential as biomarkers for neuropsychiatric disorders (schizophrenia, bipolar disorder, and major depressive disorder) yet also discusses how a complex genetic landscape has limited sole genetic diagnostic tools for these disorders. In addition to their potential use as classifiers for neuropsychiatric disorders, genomic and blood-based biomarkers have revealed clues to the molecular pathways contributing to etiology. A comprehensive overview of studies to date has been given, and the authors provide suggestions for steps to be taken to ultimately move the laboratory-based classifiers towards application in a clinical setting. Furthermore, they share their vision for the future of these classifiers, both in clinical application and in opening up new ways to gain insights into the underlying biology.

Entities:  

Keywords:  Neuropsychiatric disorders; bipolar disorder; blood-based gene expression; diagnostic classifiers; genomics; major depressive disorder; schizophrenia

Mesh:

Year:  2016        PMID: 27017833     DOI: 10.1586/14737159.2016.1171714

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  3 in total

1.  Some implications of an epigenetic-based omnigenic model of psychiatric disorders.

Authors:  Jacob Peedicayil; Dennis R Grayson
Journal:  J Theor Biol       Date:  2018-05-22       Impact factor: 2.691

2.  Gene expression alterations related to mania and psychosis in peripheral blood of patients with a first episode of psychosis.

Authors:  E S Gouvea; V K Ota; C Noto; M L Santoro; L M Spindola; P N Moretti; C M Carvalho; G Xavier; A C Rios; J R Sato; M A F Hayashi; E Brietzke; A Gadelha; R A Bressan; Q Cordeiro; S I Belangero
Journal:  Transl Psychiatry       Date:  2016-10-04       Impact factor: 6.222

3.  Genetics of Aggression in Alzheimer's Disease (AD).

Authors:  Walter J Lukiw; Evgeny I Rogaev
Journal:  Front Aging Neurosci       Date:  2017-04-10       Impact factor: 5.750

  3 in total

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