The University of Southampton
University of Southampton Institutional Repository

The utility of gene expression in blood cells for diagnosing neuropsychiatric disorders

The utility of gene expression in blood cells for diagnosing neuropsychiatric disorders
The utility of gene expression in blood cells for diagnosing neuropsychiatric disorders
Objective diagnostic tools are required for neuropsychiatric disorders. Gene expression in blood cells may provide such a tool and has already been used to construct classifiers capable of diagnosing many human diseases. This chapter discusses the use of microarray gene expression data to construct diagnostic classifiers for neuropsychiatric disorders. The potential pitfalls of microarray gene expression analysis and the experimental design and methods suitable for classifier construction are described in detail. A review of studies that have analyzed gene expression in blood cells from patients with neuropsychiatric disorders is presented with an emphasis on the feasibility of generating a diagnostic classifier for schizophrenia. Finally, the future directions of the field are discussed with respect to using blood gene expression to tailor antipsychotic medications to individual patients, applying microRNA expression for diagnostic purposes, as well as the implications of next-generation sequencing technologies for gene expression analysis.
0123877180
41-63
Elsevier
Woelk, C.H.
4d3af0fd-658f-4626-b3b5-49a6192bcf7d
Singhania, A.
9a5f2c6b-fc46-4223-bcae-de70bf14da6b
Perez-Santiago, J.
f949a54e-37d9-4bb2-8998-93cbad4a80f7
Glatt, S.J.
277ea1bc-88a1-4a1b-823b-36430178afa7
Tsuang, M.T.
88753f4e-dfe9-4f3f-b7aa-ae8372003ddf
Guest, P.C.
Bahn, S.
Woelk, C.H.
4d3af0fd-658f-4626-b3b5-49a6192bcf7d
Singhania, A.
9a5f2c6b-fc46-4223-bcae-de70bf14da6b
Perez-Santiago, J.
f949a54e-37d9-4bb2-8998-93cbad4a80f7
Glatt, S.J.
277ea1bc-88a1-4a1b-823b-36430178afa7
Tsuang, M.T.
88753f4e-dfe9-4f3f-b7aa-ae8372003ddf
Guest, P.C.
Bahn, S.

Woelk, C.H., Singhania, A., Perez-Santiago, J., Glatt, S.J. and Tsuang, M.T. (2011) The utility of gene expression in blood cells for diagnosing neuropsychiatric disorders. In, Guest, P.C. and Bahn, S. (eds.) Biomarkers of Neurological and Psychiatric Disease. (International Review of Neurobiology, 101) Amsterdam, NL. Elsevier, pp. 41-63. (doi:10.1016/B978-0-12-387718-5.00003-1).

Record type: Book Section

Abstract

Objective diagnostic tools are required for neuropsychiatric disorders. Gene expression in blood cells may provide such a tool and has already been used to construct classifiers capable of diagnosing many human diseases. This chapter discusses the use of microarray gene expression data to construct diagnostic classifiers for neuropsychiatric disorders. The potential pitfalls of microarray gene expression analysis and the experimental design and methods suitable for classifier construction are described in detail. A review of studies that have analyzed gene expression in blood cells from patients with neuropsychiatric disorders is presented with an emphasis on the feasibility of generating a diagnostic classifier for schizophrenia. Finally, the future directions of the field are discussed with respect to using blood gene expression to tailor antipsychotic medications to individual patients, applying microRNA expression for diagnostic purposes, as well as the implications of next-generation sequencing technologies for gene expression analysis.

This record has no associated files available for download.

More information

Published date: 2011
Organisations: Clinical & Experimental Sciences

Identifiers

Local EPrints ID: 353030
URI: http://eprints.soton.ac.uk/id/eprint/353030
ISBN: 0123877180
PURE UUID: 0bcc7b38-8f63-4a17-a075-eb81c6bb3fef

Catalogue record

Date deposited: 28 May 2013 13:30
Last modified: 14 Mar 2024 13:59

Export record

Altmetrics

Contributors

Author: C.H. Woelk
Author: A. Singhania
Author: J. Perez-Santiago
Author: S.J. Glatt
Author: M.T. Tsuang
Editor: P.C. Guest
Editor: S. Bahn

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×