scholarly journals Meta-analysis of Genetic-Linkage Analysis of Quantitative-Trait Loci

2002 ◽  
Vol 71 (1) ◽  
pp. 56-65 ◽  
Author(s):  
Carol J. Etzel ◽  
Rudy Guerra
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Quantitative Trait ◽  
Genetic Linkage ◽  
Meta Analysis ◽  
Genetic Linkage Analysis ◽  
Trait Loci

scholarly journals Quantitative Trait Loci: A Meta-analysis

Genetics ◽  
2000 ◽  
Vol 155 (1) ◽  
pp. 463-473
Author(s):  
Bruno Goffinet ◽  
Sophie Gerber
Keyword(s):  
Quantitative Trait Loci ◽  
Confidence Interval ◽  
Quantitative Trait ◽  
Meta Analysis ◽  
Trait Loci ◽  
Akaike Criterion ◽  
Using Data

Abstract This article presents a method to combine QTL results from different independent analyses. This method provides a modified Akaike criterion that can be used to decide how many QTL are actually represented by the QTL detected in different experiments. This criterion is computed to choose between models with one, two, three, etc., QTL. Simulations are carried out to investigate the quality of the model obtained with this method in various situations. It appears that the method allows the length of the confidence interval of QTL location to be consistently reduced when there are only very few “actual” QTL locations. An application of the method is given using data from the maize database available online at http://www.agron.missouri.edu/.

Quantitative Trait Loci Influencing Mycotoxin Contamination of Maize: Analysis by Linkage Mapping, Characterization of Near-Isogenic Lines, and Meta-Analysis

Crop Science ◽  
2014 ◽  
Vol 54 (1) ◽  
pp. 127-142 ◽  
Author(s):  
Santiago X. Mideros ◽  
Marilyn L. Warburton ◽  
Tiffany M. Jamann ◽  
Gary L. Windham ◽  
W. Paul Williams ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Linkage Mapping ◽  
Meta Analysis ◽  
Near Isogenic Lines ◽  
Mycotoxin Contamination ◽  
Isogenic Lines ◽  
Trait Loci

scholarly journals 295 GENETIC LINKAGE ANALYSIS AND META ANALYSIS OF STIMULATED CYTOKINE LEVELS IN DUTCH FAMILY BASED STUDIES

2007 ◽  
Vol 15 ◽  
pp. C164
Author(s):  
S.D. Bos ◽  
H. Putter ◽  
D. Posthuma ◽  
M. Kloppenburg ◽  
A. Seymour ◽  
...  
Keyword(s):  
Linkage Analysis ◽  
Genetic Linkage ◽  
Meta Analysis ◽  
Genetic Linkage Analysis ◽  
Cytokine Levels ◽  
Family Based ◽  
Dutch Family

scholarly journals Using Linkage Analysis to Identify Quantitative Trait Loci for Sleep Apnea in Relationship to Body Mass Index

2008 ◽  
Vol 72 (6) ◽  
pp. 762-773 ◽  
Author(s):  
E. K. Larkin ◽  
S. R. Patel ◽  
R. C. Elston ◽  
C. Gray-McGuire ◽  
X. Zhu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Apnea ◽  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Body Mass ◽  
Quantitative Trait ◽  
Trait Loci

Joint Linkage and Linkage Disequilibrium Mapping of Quantitative Trait Loci in Natural Populations

Genetics ◽  
2002 ◽  
Vol 160 (2) ◽  
pp. 779-792 ◽  
Author(s):  
Rongling Wu ◽  
Chang-Xing Ma ◽  
George Casella
Keyword(s):  
Linkage Disequilibrium ◽  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Quantitative Trait ◽  
Genome Mapping ◽  
Linkage Disequilibrium Mapping ◽  
Allelic Association ◽  
Mapping Strategy ◽  
Trait Loci ◽  
New Strategy

AbstractLinkage analysis and allelic association (also referred to as linkage disequilibrium) studies are two major approaches for mapping genes that control simple or complex traits in plants, animals, and humans. But these two approaches have limited utility when used alone, because they use only part of the information that is available for a mapping population. More recently, a new mapping strategy has been designed to integrate the advantages of linkage analysis and linkage disequilibrium analysis for genome mapping in outcrossing populations. The new strategy makes use of a random sample from a panmictic population and the open-pollinated progeny of the sample. In this article, we extend the new strategy to map quantitative trait loci (QTL), using molecular markers within the EM-implemented maximum-likelihood framework. The most significant advantage of this extension is that both linkage and linkage disequilibrium between a marker and QTL can be estimated simultaneously, thus increasing the efficiency and effectiveness of genome mapping for recalcitrant outcrossing species. Simulation studies are performed to test the statistical properties of the MLEs of genetic and genomic parameters including QTL allele frequency, QTL effects, QTL position, and the linkage disequilibrium of the QTL and a marker. The potential utility of our mapping strategy is discussed.

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