Fast and Accurate Genome-Wide Association Test of Multiple Quantitative Traits
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Multiple correlated traits are often collected in genetic studies.
By jointly analyzing multiple traits, we can increase power by aggregating multiple weak effects and reveal additional insights into the genetic architecture of complex human diseases.
In this article, we propose a multivariate linear regression-based method to test the joint association of multiple quantitative traits.
It is flexible to accommodate any covariates, has very accurate control of type I errors, and offers very competitive performance.
We also discuss fast and accurate significance p value computation especially for genome-wide association studies with small-to-medium sample sizes.
We demonstrate through extensive numerical studies that the proposed method has competitive performance.
Its usefulness is further illustrated with application to genome-wide association analysis of diabetes-related traits in the Atherosclerosis Risk in Communities (ARIC) study.
We found some very interesting associations with diabetes traits which have not been reported before.
We implemented the proposed methods in a publicly available R package.
American Psychological Association (APA)
Wu, Baolin& Pankow, James S.. 2018. Fast and Accurate Genome-Wide Association Test of Multiple Quantitative Traits. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1131864
Modern Language Association (MLA)
Wu, Baolin& Pankow, James S.. Fast and Accurate Genome-Wide Association Test of Multiple Quantitative Traits. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1131864
American Medical Association (AMA)
Wu, Baolin& Pankow, James S.. Fast and Accurate Genome-Wide Association Test of Multiple Quantitative Traits. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1131864
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131864