A dynamic model for genome-wide association studies.
Hum Genet
; 129(6): 629-39, 2011 Jun.
Article
em En
| MEDLINE
| ID: mdl-21293879
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 fGWAS, to analyze the genetic control of traits by integrating biological principles of trait formation into the GWAS framework through mathematical and statistical bridges. fGWAS 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, fGWAS 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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Estudo de Associação Genômica Ampla
/
Modelos Genéticos
Tipo de estudo:
Risk_factors_studies
Limite:
Female
/
Humans
/
Male
Idioma:
En
Ano de publicação:
2011
Tipo de documento:
Article