![](/images/graphics-bg.png)
GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results
Joint Authors
Wei, Wei
Hunt, Kelly J.
Wolf, Bethany J.
Hardiman, Gary
Chung, Dongjun
Ramos, Paula S.
Source
International Journal of Genomics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-27
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Genome-wide association studies (GWAS) have identified tens of thousands of genetic variants associated with hundreds of phenotypes and diseases, which have provided clinical and medical benefits to patients with novel biomarkers and therapeutic targets.
Recently, there has been accumulating evidence suggesting that different complex traits share a common risk basis, namely, pleiotropy.
Previously, a statistical method, namely, GPA (Genetic analysis incorporating Pleiotropy and Annotation), was developed to improve identification of risk variants and to investigate pleiotropic structure through a joint analysis of multiple GWAS datasets.
While GPA provides a statistically rigorous framework to evaluate pleiotropy between phenotypes, it is still not trivial to investigate genetic relationships among a large number of phenotypes using the GPA framework.
In order to address this challenge, in this paper, we propose a novel approach, GPA-MDS, to visualize genetic relationships among phenotypes using the GPA algorithm and multidimensional scaling (MDS).
This tool will help researchers to investigate common etiology among diseases, which can potentially lead to development of common treatments across diseases.
We evaluate the proposed GPA-MDS framework using a simulation study and apply it to jointly analyze GWAS datasets examining 18 unique phenotypes, which helps reveal the shared genetic architecture of these phenotypes.
American Psychological Association (APA)
Wei, Wei& Ramos, Paula S.& Hunt, Kelly J.& Wolf, Bethany J.& Hardiman, Gary& Chung, Dongjun. 2016. GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results. International Journal of Genomics،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106174
Modern Language Association (MLA)
Wei, Wei…[et al.]. GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results. International Journal of Genomics No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1106174
American Medical Association (AMA)
Wei, Wei& Ramos, Paula S.& Hunt, Kelly J.& Wolf, Bethany J.& Hardiman, Gary& Chung, Dongjun. GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results. International Journal of Genomics. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106174
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106174