Linked Life Data

18698228

Source:http://linkedlifedata.com/resource/pubmed/id/18698228

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2008-8-21
pubmed:abstractText
Schizophrenia is an highly heritable complex disorder with a significant impact on public health. A variety of antipsychotics are available for treatment of the disorder and individual response to treatment is variable. To date, only a limited number of potential candidate genes have been examined for genetic association with treatment response. As there is lack of understanding of disease etiology and variation in treatment response, a large number of additional genes are potential targets for investigation. A variety of strategies for selecting candidate genes for further investigation are available and in most cases information used is weighed and ranked intuitively by the investigator. We sought to find genes that may influence treatment response in a less biased manner, after integrating heterogeneous data sources related to schizophrenia.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1744-6872
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
751-9
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Model-based gene selection shows engrailed 1 is associated with antipsychotic response.
pubmed:affiliation
Center for Biomarker Research and Personalized Medicine, Department of Pharmacy, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA 23298, USA. btwebb@vcu.edu
pubmed:publicationType
Journal Article