Linked Life Data

8314031

Source:http://linkedlifedata.com/resource/pubmed/id/8314031

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1994-3-24
pubmed:abstractText
The multipoint identity-by-descent method was developed to detect linkage to a specific chromosomal region through partitioning the genetic variance. This method has previously been applied to quantitative traits, and here is extended to a qualitative trait, where a dichotomous affected/unaffected status variable is transformed to a quantitative variable by incorporating covariates. This method is applied to the Alzheimer's disease data sets from Genetic Analysis Workshop 8, to investigate putative linkage to chromosomes 19 and 21. The multipoint identity-by-descent method is used to test for linkage through the qualitative trait, and for excess sharing of the chromosomal region among affected sibs. Results are compared to those of the affected-pedigree-member method and classical linkage analysis. None of these methods gave results showing clear linkage, with the only marginally significant results occurring for the Boston data set on chromosome 19 and the Duke data set for chromosome 21 using the multipoint identity-by-descent method.
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
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
383-8
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1993
pubmed:articleTitle
Analysis of discrete phenotypes using a multipoint identity-by-descent method: application to Alzheimer's disease.
pubmed:affiliation
Genetic Epidemiology Group, University of Utah, Salt Lake City.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.