Linked Life Data

18568023

Source:http://linkedlifedata.com/resource/pubmed/id/18568023

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2008-6-27
pubmed:abstractText
Although studies suggest that SNPs derived from HapMap provide promising coverage and power for association studies, the lack of alternative variation datasets limits independent analysis. Using near-complete variation data for 76 genes resequenced in HapMap samples, we find that coverage of common variation by commercial genotyping arrays is substantially lower compared to the HapMap-based estimates. We quantify the power offered by these arrays for a range of disease models.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1546-1718
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
40
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
841-3
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Estimating coverage and power for genetic association studies using near-complete variation data.
pubmed:affiliation
Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
pubmed:publicationType
Journal Article, Comparative Study, Evaluation Studies, Research Support, N.I.H., Extramural