Significance Test and Genome Selection in Bayesian Shrinkage Analysis
Joint Authors
Source
International Journal of Plant Genomics
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Bayesian shrinkage analysis is the state-of-the-art method for whole genome analysis of quantitative traits.
It can estimate the genetic effects for the entire genome using a dense marker map.
The technique is now called genome selection.
A nice property of the shrinkage analysis is that it can estimate effects of QTL as small as explaining 2% of the phenotypic variance in a typical sample size of 300–500 individuals.
In most cases, QTL can be detected with simple visual inspection of the entire genome for the effect because the false positive rate is low.
As a Bayesian method, no significance test is needed.
However, it is still desirable to put some confidences on the estimated QTL effects.
We proposed to use the permutation test to draw empirical thresholds to declare significance of QTL under a predetermined genome wide type I error.
With the permutation test, Bayesian shrinkage analysis can be routinely used for QTL detection.
American Psychological Association (APA)
Che, Xiaohong& Xu, Shizhong. 2010. Significance Test and Genome Selection in Bayesian Shrinkage Analysis. International Journal of Plant Genomics،Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-506001
Modern Language Association (MLA)
Che, Xiaohong& Xu, Shizhong. Significance Test and Genome Selection in Bayesian Shrinkage Analysis. International Journal of Plant Genomics No. 2010 (2010), pp.1-11.
https://search.emarefa.net/detail/BIM-506001
American Medical Association (AMA)
Che, Xiaohong& Xu, Shizhong. Significance Test and Genome Selection in Bayesian Shrinkage Analysis. International Journal of Plant Genomics. 2010. Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-506001
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506001