Cargando…
A methodology for multivariate phenotype-based genome-wide association studies to mine pleiotropic genes
BACKGROUND: Current Genome-Wide Association Studies (GWAS) are performed in a single trait framework without considering genetic correlations between important disease traits. Hence, the GWAS have limitations in discovering genetic risk factors affecting pleiotropic effects. RESULTS: This work repor...
Autores principales: | Park, Sung Hee, Lee, Ji Young, Kim, Sangsoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287479/ https://www.ncbi.nlm.nih.gov/pubmed/22784570 http://dx.doi.org/10.1186/1752-0509-5-S2-S13 |
Ejemplares similares
-
Identifying Pleiotropic Genes in Genome-Wide Association Studies for Multivariate Phenotypes with Mixed Measurement Scales
por: Yang, James J., et al.
Publicado: (2017) -
Phenotype prediction from genome-wide association studies: application to smoking behaviors
por: Yoon, Dankyu, et al.
Publicado: (2012) -
Penalized multivariate linear mixed model for longitudinal genome-wide association studies
por: Liu, Jin, et al.
Publicado: (2014) -
Constrained multivariate association with longitudinal phenotypes
por: Melton, Phillip E., et al.
Publicado: (2016) -
Integrating binary traits with quantitative phenotypes for association mapping of multivariate phenotypes
por: Mukhopadhyay, Indranil, et al.
Publicado: (2011)