Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies
Joint Authors
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Multivariate phenotypes are frequently encountered in genetic association studies.
The purpose of analyzing multivariate phenotypes usually includes discovery of novel genetic variants of pleiotropy effects, that is, affecting multiple phenotypes, and the ultimate goal of uncovering the underlying genetic mechanism.
In recent years, there have been new method development and application of existing statistical methods to such phenotypes.
In this paper, we provide a review of the available methods for analyzing association between a single marker and a multivariate phenotype consisting of the same type of components (e.g., all continuous or all categorical) or different types of components (e.g., some are continuous and others are categorical).
We also reviewed causal inference methods designed to test whether the detected association with the multivariate phenotype is truly pleiotropy or the genetic marker exerts its effects on some phenotypes through affecting the others.
American Psychological Association (APA)
Yang, Qiong& Wang, Yuanjia. 2012. Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-488445
Modern Language Association (MLA)
Yang, Qiong& Wang, Yuanjia. Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-488445
American Medical Association (AMA)
Yang, Qiong& Wang, Yuanjia. Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-488445
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-488445