19339783

Source:http://linkedlifedata.com/resource/pubmed/id/19339783

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:C0017431, umls-concept:C0032863, umls-concept:C0035647, umls-concept:C0220825, umls-concept:C1517378, umls-concept:C2350277, umls-concept:C2699638
pubmed:issue	1
pubmed:dateCreated	2009-4-29
pubmed:abstractText	With the beginning of the era of genome-wide association studies methods to obtain 'in silico' genotypes have gained importance. In this context, an evaluation of genome-wide power levels of current marker panels and the power gain achievable with imputed genotypes are of high interest.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0200525
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	1423-0062
pubmed:author	pubmed-author:BeckerTimT, pubmed-author:BrockschmidtFelix FFF, pubmed-author:FlaquerAntoniaA, pubmed-author:HeroldChristineC, pubmed-author:SteffensMichaelM
pubmed:copyrightInfo	(c) 2009 S. Karger AG, Basel.
pubmed:issnType	Electronic
pubmed:volume	68
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	23-34
pubmed:meshHeading	pubmed-meshheading:19339783-Algorithms, pubmed-meshheading:19339783-Computer Simulation, pubmed-meshheading:19339783-Genome, Human, pubmed-meshheading:19339783-Genome-Wide Association Study, pubmed-meshheading:19339783-Genotype, pubmed-meshheading:19339783-Humans, pubmed-meshheading:19339783-Polymorphism, Single Nucleotide
pubmed:year	2009
pubmed:articleTitle	Evaluation of potential power gain with imputed genotypes in genome-wide association studies.
pubmed:affiliation	Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany. Tim.Becker@ukb.uni-bonn.de
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't