Linked Life Data

1642229

Source:http://linkedlifedata.com/resource/pubmed/id/1642229

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1992-9-1
pubmed:abstractText
Before new markers are thoroughly characterized, they are usually screened for high polymorphism on the basis of a small panel of individuals. Four commonly used screening strategies are compared in terms of their power to correctly classify a marker as having heterozygosity of 70% or higher. A small number of typed individuals (10, say) are shown to provide good discrimination power between low- and high-heterozygosity markers when the markers have a small number of alleles. Characterizing markers in more detail requires larger sample sizes (e.g., at least 80-100 individuals) if there is to be a high probability of detecting most or all alleles. For linkage analyses involving highly polymorphic markers, the practice of arbitrarily assuming equal gene frequencies can cause serious trouble. In the presence of untyped individuals, when gene frequencies are unequal but are assumed to be equal in the analysis, recombination-fraction estimates tend to be badly biased, leading to strong false-positive evidence for linkage.
pubmed:grant
pubmed:commentsCorrections
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
51
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
283-90
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1992
pubmed:articleTitle
Strategies for characterizing highly polymorphic markers in human gene mapping.
pubmed:affiliation
Department of Psychiatry, Columbia University, New York, NY 10032.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.