Linked Life Data

9311748

Source:http://linkedlifedata.com/resource/pubmed/id/9311748

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1997-10-15
pubmed:abstractText
Relative-pair designs are routinely employed in linkage studies of complex genetic diseases and quantitative traits. Valid application of these methods requires correct specification of the relationships of the pairs. For example, within a sibship, presumed full sibs actually might be MZ twins, half sibs, or unrelated. Misclassification of half-sib pairs or unrelated individuals as full sibs can result in reduced power to detect linkage. When other family members, such as parents or additional siblings, are available, incorrectly specified relationships usually will be detected through apparent incompatibilities with Mendelian inheritance. Without other family members, sibling relationships cannot be determined absolutely, but they still can be inferred probabilistically if sufficient genetic marker data are available. In this paper, we describe a simple likelihood ratio method to infer the true relationship of a putative sibling pair. We explore the number of markers required to accurately infer relationships typically encountered in a sib-pair study, as a function of marker allele frequencies, marker spacing, and genotyping error rate, and we conclude that very accurate inference of relationships can be achieved, given the marker data from even part of a genome scan. We compare our method to related methods of relationship inference that have been suggested. Finally, we demonstrate the value of excluding non-full sibs in a genetic linkage study of non-insulin-dependent diabetes mellitus.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-1052764, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-1881886, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-1985459, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-2301394, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-3422543, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-3863778, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-7668271, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-7777857, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-8300084, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-8640221, http://linkedlifedata.com/resource/pubmed/commentcorrection/9311748-9132268
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0002-9297
pubmed:author
pubmed:issnType
Print
pubmed:volume
61
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
423-9
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Accurate inference of relationships in sib-pair linkage studies.
pubmed:affiliation
Department of Biostatistics, University of Michigan, Ann Arbor 48109-2029, USA. boehnke@umich.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.