Source:http://linkedlifedata.com/resource/pubmed/id/15169605
Switch to
Predicate | Object |
---|---|
rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
|
pubmed:dateCreated |
2004-5-31
|
pubmed:abstractText |
The aim of this study was to determine whether identity-by-descent (IBD) information for affected sib pairs (ASPs) can be used to select a sample of cases for a genetic case-control study which will provide more power for detecting association with loci in a known linkage region. By modeling the expected frequency of the disease allele in ASPs showing IBD sharing of 0, 1, or 2 alleles, and considering additive, recessive, and dominant disease models, we show that cases selected from IBD 2 families are best for this purpose, followed by those selected from IBD 1 families; least useful are cases selected from IBD 0 families.
|
pubmed:language |
eng
|
pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Apr
|
pubmed:issn |
1369-0523
|
pubmed:author | |
pubmed:issnType |
Print
|
pubmed:volume |
7
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
211-6
|
pubmed:dateRevised |
2010-11-18
|
pubmed:meshHeading |
pubmed-meshheading:15169605-Alleles,
pubmed-meshheading:15169605-Case-Control Studies,
pubmed-meshheading:15169605-Genetic Linkage,
pubmed-meshheading:15169605-Genetic Predisposition to Disease,
pubmed-meshheading:15169605-Humans,
pubmed-meshheading:15169605-Lod Score,
pubmed-meshheading:15169605-Models, Genetic,
pubmed-meshheading:15169605-Outcome Assessment (Health Care),
pubmed-meshheading:15169605-Siblings
|
pubmed:year |
2004
|
pubmed:articleTitle |
Using identity-by-descent information in affected sib pairs to increase the efficiency of genetic association studies.
|
pubmed:affiliation |
Queensland Institute of Medical Research, Brisbane, Australia. jackiW@qimr.edu.au
|
pubmed:publicationType |
Journal Article
|