10332927

Source:http://linkedlifedata.com/resource/pubmed/id/10332927

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:C0002783, umls-concept:C0017398, umls-concept:C0025663, umls-concept:C0038215, umls-concept:C0314603, umls-concept:C1140694
pubmed:issue	4
pubmed:dateCreated	1999-8-10
pubmed:abstractText	To outline potential benefits of integrating recent developments in bioinformatics and statistical genetics with traditional epidemiologic studies to localize genes influencing complex phenotypes and examine genetic effects on disease susceptibility.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9100013
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	May
pubmed:issn	1047-2797
pubmed:author	pubmed-author:EllsworthD LDL, pubmed-author:ManolioT ATA
pubmed:issnType	Print
pubmed:volume	9
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	207-24
pubmed:dateRevised	2010-11-18
pubmed:meshHeading	pubmed-meshheading:10332927-Data Interpretation, Statistical, pubmed-meshheading:10332927-Databases, Factual, pubmed-meshheading:10332927-Genetic Linkage, pubmed-meshheading:10332927-Genetic Predisposition to Disease, pubmed-meshheading:10332927-Humans, pubmed-meshheading:10332927-Medical Informatics Computing, pubmed-meshheading:10332927-Molecular Epidemiology, pubmed-meshheading:10332927-Mutation
pubmed:year	1999
pubmed:articleTitle	The Emerging Importance of Genetics in Epidemiologic Research III. Bioinformatics and statistical genetic methods.
pubmed:affiliation	Epidemiology and Biometry Program, Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892-7934, USA.
pubmed:publicationType	Journal Article, Review