Linked Life Data

21156729

Source:http://linkedlifedata.com/resource/pubmed/id/21156729

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2011-2-10
pubmed:abstractText
Despite their success in identifying genes that affect complex disease or traits, current genome-wide association studies (GWASs) based on a single SNP analysis are too simple to elucidate a comprehensive picture of the genetic architecture of phenotypes. A simultaneous analysis of a large number of SNPs, although statistically challenging, especially with a small number of samples, is crucial for genetic modeling.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
516-23
pubmed:dateRevised
2011-6-2
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
The Bayesian lasso for genome-wide association studies.
pubmed:affiliation
Department of Statistics, Pennsylvania State University, State College, PA 16802, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural