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- Publisher
- Springer Journals
- Copyright
- Copyright © 2011 by Springer-Verlag
- Subject
- Biomedicine; Metabolic Diseases; Molecular Medicine ; Human Genetics ; Gene Function
- ISSN
- 0340-6717
- eISSN
- 1432-1203
- DOI
- 10.1007/s00439-011-0960-6
- pmid
- 21293879
- Publisher site
- See Article on Publisher Site
Abstract
Although genome-wide association studies (GWAS) are widely used to identify the genetic and environmental etiology of a trait, several key issues related to their statistical power and biological relevance have remained unexplored. Here, we describe a novel statistical approach, called functional GWAS or f GWAS, to analyze the genetic control of traits by integrating biological principles of trait formation into the GWAS framework through mathematical and statistical bridges. f GWAS can address many fundamental questions, such as the patterns of genetic control over development, the duration of genetic effects, as well as what causes developmental trajectories to change or stop changing. In statistics, f GWAS displays increased power for gene detection by capitalizing on cumulative phenotypic variation in a longitudinal trait over time and increased robustness for manipulating sparse longitudinal data.
Journal
Human Genetics – Springer Journals
Published: Jun 1, 2011