19019849

Source:http://linkedlifedata.com/resource/pubmed/id/19019849

Download in:

Switch to

Custom View

Named Graph Language Inference

Statements in which the resource exists as a subject.
Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0004083, umls-concept:C0022885, umls-concept:C0039593
pubmed:issue	1
pubmed:dateCreated	2008-12-23
pubmed:abstractText	Although genetic association studies often test multiple, related phenotypes, few formal multivariate tests of association are available. We describe a test of association that can be efficiently applied to large population-based designs. AVAILABILITY: A C++ implementation can be obtained from the authors.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9808944
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jan
pubmed:issn	1367-4811
pubmed:author	pubmed-author:FerreiraManuel A RMA, pubmed-author:PurcellShaun MSM
pubmed:issnType	Electronic
pubmed:day	1
pubmed:volume	25
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	132-3
pubmed:dateRevised	2009-11-4
pubmed:meshHeading	pubmed-meshheading:19019849-Genetic Predisposition to Disease, pubmed-meshheading:19019849-Humans, pubmed-meshheading:19019849-Multivariate Analysis
pubmed:year	2009
pubmed:articleTitle	A multivariate test of association.
pubmed:affiliation	Department of Psychiatry, Massachusetts General Hospital, Boston, USA. manuel.ferreira@qimr.edu.au
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't