Linked Life Data

20036923

Source:http://linkedlifedata.com/resource/pubmed/id/20036923

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-12-28
pubmed:abstractText
The discovery that DNA sequence variations can influence the response of an individual to a drug or can predict the outcome of a disease has added a new dimension to evidence-based medicine. It is clear that the goals, risks, and benefits of drug therapy can be better assessed if the underlying genome of the patient is known. The relevance of identifying patients at increased risk of adverse drug reactions, the application of genomic technologies to drug development and the clarification of the mechanisms of drug action on cells will be important targets in the therapeutic approach to medicine in the 21st century. In this review, we summarize the development of single nucleotide polymorphisms (SNPs) and give computational biological data for SNPs databases.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1945-0524
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-4
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
SNPs: At the origins of the databases of an innovative biotechnology tool.
pubmed:affiliation
Clinical Science at South Bristol, Bristol Royal Infirmary, University of Bristol, United Kingdom.
pubmed:publicationType
Journal Article, Review