Abstract:
:Pharmacogenetics has been driven by a candidate gene approach. The disadvantage of this approach is that is limited by our current understanding of the mechanisms by which drugs act. Gene expression could help to elucidate the molecular signatures of antipsychotic treatments searching for dysregulated molecular pathways and the relationships between gene products, especially protein-protein interactions. To embrace the complexity of drug response, machine learning methods could help to identify gene-gene interactions and develop pharmacogenetic predictors of drug response. The present review summarizes the applicability of the topics presented here (gene expression, network analysis and gene-gene interactions) in pharmacogenetics. In order to achieve this, we present an example of identifying genetic predictors of extrapyramidal symptoms induced by antipsychotic.
journal_name
Pharmacogenomicsjournal_title
Pharmacogenomicsauthors
Mas S,Gassó P,Lafuente Adoi
10.2217/pgs.15.134subject
Has Abstractpub_date
2015-11-01 00:00:00pages
1975-88issue
17eissn
1462-2416issn
1744-8042journal_volume
16pub_type
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