![](/images/graphics-bg.png)
A Statistical Variance Components Framework for Mapping Imprinted Quantitative Trait Locus in Experimental Crosses
Joint Authors
Source
Journal of Probability and Statistics
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-27, 27 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-03-26
Country of Publication
Egypt
No. of Pages
27
Main Subjects
Abstract EN
Current methods for mapping imprinted quantitative trait locus (iQTL) with inbred line crosses assume fixed QTL effects.
When an iQTL segregates in experimental line crosses, combining different line crosses with similar genetic background can improve the accuracy of iQTLs inference.
In this article, we develop a general interval-based statistical variance components framework to map iQTLs underlying complex traits by combining different backcross line crosses.
We propose a new iQTL variance partition method based on the nature of marker alleles shared identical-by-decent (IBD) in inbred lines.
Maternal effect is adjusted when testing imprinting.
Efficient estimation methods with the maximum likelihood and the restricted maximum likelihood are derived and compared.
Statistical properties of the proposed mapping strategy are evaluated through extensive simulations under different sampling designs.
An extension to multiple QTL analysis is given.
The proposed method will greatly facilitate genetic dissection of imprinted complex traits in inbred line crosses.
American Psychological Association (APA)
Li, Gengxin& Cui, Yuehua. 2009. A Statistical Variance Components Framework for Mapping Imprinted Quantitative Trait Locus in Experimental Crosses. Journal of Probability and Statistics،Vol. 2009, no. 2009, pp.1-27.
https://search.emarefa.net/detail/BIM-490738
Modern Language Association (MLA)
Li, Gengxin& Cui, Yuehua. A Statistical Variance Components Framework for Mapping Imprinted Quantitative Trait Locus in Experimental Crosses. Journal of Probability and Statistics No. 2009 (2009), pp.1-27.
https://search.emarefa.net/detail/BIM-490738
American Medical Association (AMA)
Li, Gengxin& Cui, Yuehua. A Statistical Variance Components Framework for Mapping Imprinted Quantitative Trait Locus in Experimental Crosses. Journal of Probability and Statistics. 2009. Vol. 2009, no. 2009, pp.1-27.
https://search.emarefa.net/detail/BIM-490738
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490738