Linked Life Data

11055373

Source:http://linkedlifedata.com/resource/pubmed/id/11055373

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2001-1-11
pubmed:abstractText
A disease-associated mutation arises on a single chromosome such that alleles at linked markers are initially in complete linkage disequilibrium (LD) with the mutation. LD can be used as a tool for high-resolution mapping of the position of a disease mutation relative to a set of linked marker loci. When more than two linked marker loci are considered, developing a maximum likelihood approach is a challenging mathematical problem. To reduce the complexity, approximate and composite likelihood (CL) methods have been developed for multipoint LD mapping that use simplified models of population history, or of recombination, that ignore some of the statistical dependence among disease chromosomes and among marker loci. We describe the relationship among several composite likelihood methods for multipoint LD mapping, and suggest an alternative CL method that takes better account of the statistical dependence among marker loci.
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
19 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S71-7
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Methods for multipoint disease mapping using linkage disequilibrium.
pubmed:affiliation
Department of Ecology and Evolution, State University of New York, Stony Brook, USA. brannala@ualberta.ca
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.