Linked Life Data

18349094

Source:http://linkedlifedata.com/resource/pubmed/id/18349094

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2008-3-19
pubmed:abstractText
Genome-wide association (GWA) studies use high-throughput genotyping technologies to assay hundreds of thousands of single-nucleotide polymorphisms (SNPs) and relate them to clinical conditions and measurable traits. Since 2005, nearly 100 loci for as many as 40 common diseases and traits have been identified and replicated in GWA studies, many in genes not previously suspected of having a role in the disease under study, and some in genomic regions containing no known genes. GWA studies are an important advance in discovering genetic variants influencing disease but also have important limitations, including their potential for false-positive and false-negative results and for biases related to selection of study participants and genotyping errors. Although these studies are clearly many steps removed from actual clinical use, and specific applications of GWA findings in prevention and treatment are actively being pursued, at present these studies mainly represent a valuable discovery tool for examining genomic function and clarifying pathophysiologic mechanisms. This article describes the design, interpretation, application, and limitations of GWA studies for clinicians and scientists for whom this evolving science may have great relevance.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1538-3598
pubmed:author
pubmed:issnType
Electronic
pubmed:day
19
pubmed:volume
299
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1335-44
pubmed:dateRevised
2008-5-23
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
How to interpret a genome-wide association study.
pubmed:affiliation
Office of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2154, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural