Linked Life Data

17161064

Source:http://linkedlifedata.com/resource/pubmed/id/17161064

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2006-12-12
pubmed:abstractText
Reduction of drug-induced adverse events may be achievable through a better understanding of the underlying causes of such events. Identifying phenotypes and genotypes that allow event prediction would provide greater safety margins for new therapeutics. Torsades de pointes (TdP) is one such life-threatening adverse event and can arise from excessive lengthening of the QT interval. This study was designed to better understand the role of genetics in the development of TdP and to determine whether genotypes can be used to predict susceptibility and thus reduce adverse events.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1097-6744
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
152
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1116-22
pubmed:dateRevised
2011-7-22
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Association of torsades de pointes with novel and known single nucleotide polymorphisms in long QT syndrome genes.
pubmed:affiliation
Pharmacogenomics, Molecular Profiling, Groton, CT, USA.
pubmed:publicationType
Journal Article