Linked Life Data

10597504

Source:http://linkedlifedata.com/resource/pubmed/id/10597504

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2000-1-24
pubmed:abstractText
Affected sibling pairs are widely used to identify chromosomal regions harboring genetic loci underlying common disease. We explore the utility of nonparametric sibling pair and family-based association methods to search for disease susceptibility loci in simulated pedigree data for a qualitative disease trait. Logistic regression was used to model gene x gene and gene x environment interactions when significant linkage and association were detected. Using these methods, we were able to detect three of the four susceptibility loci underlying the disease trait with multipoint lod scores of 1.0 or greater.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0741-0395
pubmed:author
pubmed:issnType
Print
pubmed:volume
17 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S627-32
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Nonparametric linkage and family-based association studies of a simulated complex disorder.
pubmed:affiliation
Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.