Cargando…
An efficient genome-wide association test for multivariate phenotypes based on the Fisher combination function
BACKGROUND: In genome-wide association studies (GWAS) for complex diseases, the association between a SNP and each phenotype is usually weak. Combining multiple related phenotypic traits can increase the power of gene search and thus is a practically important area that requires methodology work. Th...
Autores principales: | Yang, James J., Li, Jia, Williams, L. Keoki, Buu, Anne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704475/ https://www.ncbi.nlm.nih.gov/pubmed/26729364 http://dx.doi.org/10.1186/s12859-015-0868-6 |
Ejemplares similares
-
Identifying pleiotropic genes in genome-wide association studies from related subjects using the linear mixed model and Fisher combination function
por: Yang, James J., et al.
Publicado: (2017) -
Identifying Pleiotropic Genes in Genome-Wide Association Studies for Multivariate Phenotypes with Mixed Measurement Scales
por: Yang, James J., et al.
Publicado: (2017) -
Multi-scale Fisher’s independence test for multivariate
dependence
por: GORSKY, S., et al.
Publicado: (2022) -
EPIGENE: genome-wide transcription unit annotation using a multivariate probabilistic model of histone modifications
por: Sahu, Anshupa, et al.
Publicado: (2020) -
Fisher's combined p-value for detecting differentially expressed genes using Affymetrix expression arrays
por: Hess, Ann, et al.
Publicado: (2007)