Document Detail


On the detection of imprinted quantitative trait loci in experimental crosses of outbred species.
MedLine Citation:
PMID:  12072486     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this article, the quantitative genetic aspects of imprinted genes and statistical properties of methods to detect imprinted QTL are studied. Different models to detect imprinted QTL and to distinguish between imprinted and Mendelian QTL were compared in a simulation study. Mendelian and imprinted QTL were simulated in an F2 design and analyzed under Mendelian and imprinting models. Mode of expression was evaluated against the H(0) of a Mendelian QTL as well as the H(0) of an imprinted QTL. It was shown that imprinted QTL might remain undetected when analyzing the genome with Mendelian models only. Compared to testing against a Mendelian QTL, using the H(0) of an imprinted QTL gave a higher proportion of correctly identified imprinted QTL, but also gave a higher proportion of false inference of imprinting for Mendelian QTL. When QTL were segregating in the founder lines, spurious detection of imprinting became more prominent under both tests, especially for designs with a small number of F1 sires.
Authors:
Dirk-Jan de Koning; Henk Bovenhuis; Johan A M van Arendonk
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Genetics     Volume:  161     ISSN:  0016-6731     ISO Abbreviation:  Genetics     Publication Date:  2002 Jun 
Date Detail:
Created Date:  2002-06-19     Completed Date:  2003-01-10     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  0374636     Medline TA:  Genetics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  931-8     Citation Subset:  IM    
Affiliation:
Animal Breeding and Genetics Group, Wageningen Institute of Animal Sciences, Wageningen University, 6700 AH Wageningen, The Netherlands. johan.vanarendonk@alg.vf.wag-ur.nl
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MeSH Terms
Descriptor/Qualifier:
Computer Simulation
Crosses, Genetic*
Data Interpretation, Statistical
Genomic Imprinting*
Models, Genetic
Quantitative Trait Loci*
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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