Linked Life Data

20812910

Source:http://linkedlifedata.com/resource/pubmed/id/20812910

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-9-3
pubmed:abstractText
The genetic control of a complex trait can be studied by testing and mapping the genotypes of the underlying quantitative trait loci (QTLs) through their associations with observable marker genotypes. All existing statistical methods for QTL mapping assume an equilibrium population, allowing marker-QTL associations to be simply described at the gametic level. However, many mapping populations in practice may deviate from equilibrium; thus, gametic associations cannot reflect marker-QTL associations at the genotype level. We develop a robust model for mapping QTLs in a non-equilibrium natural population in which individuals are not necessarily randomly mating due to various evolutionary forces. Without use of Hardy-Weinberg equilibrium, the new model founds marker-QTL associations directly on the genotypes, specified by a group of disequilibrium parameters. Simulation studies were performed to test the statistical properties of the model, which suggests that the new model covers current mapping models and can be safely used for any data set.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1544-6115
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
Article32
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Mapping quantitative trait loci in a non-equilibrium population.
pubmed:affiliation
St. Jude Children's Research Hospital, USA. song.wu@stjude.org
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural