Literature DB >> 11336604

Applications of pharmacogenetics in psychiatry: personalisation of treatment.

M J Arranz1, J Munro, S Osborne, D Collier, R W Kerwin.   

Abstract

In spite of the lack of epidemiological information, pharmacogenetic research has produced evidence of the relationship between genes and treatment response. Genetic variants of metabolic enzymes are related to toxic reactions; polymorphisms in genes coding for drug-targeted neurotransmitter receptors influence therapeutic efficacy. Also, recent studies have shown that response to antipsychotic drugs can be predicted by looking at the individual's pharmacogenetic profile. In addition to providing the first evidence that treatment response can be predicted by looking at a core of key genes, these studies illustrate the feasibility of individualisation of psychiatric treatment.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11336604     DOI: 10.1517/14656566.2.4.537

Source DB:  PubMed          Journal:  Expert Opin Pharmacother        ISSN: 1465-6566            Impact factor:   3.889


  4 in total

Review 1.  Genetics and psychopharmacology: prospects for individualized treatment.

Authors:  Charles U Nnadi; Joseph F Goldberg; Anil K Malhotra
Journal:  Essent Psychopharmacol       Date:  2005

2.  Novel drug metabolism indices for pharmacogenetic functional status based on combinatory genotyping of CYP2C9, CYP2C19 and CYP2D6 genes.

Authors:  David Villagra; John Goethe; Harold I Schwartz; Bonnie Szarek; Mohan Kocherla; Krystyna Gorowski; Andreas Windemuth; Gualberto Ruaño
Journal:  Biomark Med       Date:  2011-08       Impact factor: 2.851

Review 3.  Using pharmacogenetics and pharmacogenomics in the treatment of psychiatric disorders: some ethical and economic considerations.

Authors:  Katherine I Morley; Wayne D Hall
Journal:  J Mol Med (Berl)       Date:  2003-11-04       Impact factor: 4.599

4.  Neural network analysis in pharmacogenetics of mood disorders.

Authors:  Alessandro Serretti; Enrico Smeraldi
Journal:  BMC Med Genet       Date:  2004-12-09       Impact factor: 2.103

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.