| Literature DB >> 27017833 |
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