Linked Life Data

10205280

Source:http://linkedlifedata.com/resource/pubmed/id/10205280

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1999-5-20
pubmed:abstractText
The results of sib-pair linkage studies may be compromised if a substantial number of putative sib pairs are not actually sib pairs. For classification of pairs in a sib-pair genome scan, I propose multipoint methods that are based on a Markov-process model of allele sharing along the chromosome. These methods can be implemented by standard algorithms that compute multipoint marker allele-sharing probabilities for sib pairs. When marker data from at least half the genome are used, misclassification rates are small. The methods will be implemented in an upcoming version of the computer software package S.A.G.E.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0002-9297
pubmed:author
pubmed:issnType
Print
pubmed:volume
64
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1464-72
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Relationship estimation by Markov-process models in a sib-pair linkage study.
pubmed:affiliation
Department of Epidemiology and Biostatistics, Case Western Reserve University, MetroHealth Medical Center R-255, Cleveland, OH 44109, USA. olson@darwin.cwru.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.