Linked Life Data

11793669

Source:http://linkedlifedata.com/resource/pubmed/id/11793669

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2002-1-16
pubmed:abstractText
The goal of this study is to determine the linkage relationship between IgE levels and the 269 microsatellite markers using the Genetic Analysis Workshop 12 Busselton data set. Analyses were carried out using both traditional and new Haseman-Elston methods, the maximum likelihood quantitative trait locus estimation (MLE QTL) method and the nonparametric (NP QTL) method. Our analyses confirmed some of the signals reported by Daniels et al. [Nature 383:247-50, 1996]. We also observed that several significant signals reported in the original report became insignificant (D6S76 and D11S96) and several new signals showed up after the data were reanalyzed using the new Haseman-Elston method, the MLE QTL method, and the NP QTL method. Based on the original and the current analyses, we recommend that follow-up studies of three regions including D7S2250, FCER1B, D11S901, and six markers on chromosome 16 be given higher priority.
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
21 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S198-203
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Comparison of sib pair-based approaches for identifying quantitative trait loci underlying asthma in the Busselton families.
pubmed:affiliation
Center for Inherited Diseases Research, John Hopkins University, Baltimore, Maryland, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S.