Cargando…
A Knowledge-Based Weighting Framework to Boost the Power of Genome-Wide Association Studies
BACKGROUND: We are moving to second-wave analysis of genome-wide association studies (GWAS), characterized by comprehensive bioinformatical and statistical evaluation of genetic associations. Existing biological knowledge is very valuable for GWAS, which may help improve their detection power partic...
Autores principales: | Li, Miao-Xin, Sham, Pak C., Cherny, Stacey S., Song, You-Qiang |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013112/ https://www.ncbi.nlm.nih.gov/pubmed/21217833 http://dx.doi.org/10.1371/journal.pone.0014480 |
Ejemplares similares
-
MGAS: a powerful tool for multivariate gene-based genome-wide association analysis
por: Van der Sluis, Sophie, et al.
Publicado: (2015) -
Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets
por: Li, Miao-Xin, et al.
Publicado: (2011) -
Polygenic power calculator: Statistical power and polygenic prediction accuracy of genome-wide association studies of complex traits
por: Wu, Tian, et al.
Publicado: (2022) -
Comparisons of seven algorithms for pathway analysis using the WTCCC Crohn's Disease dataset
por: Gui, Hongsheng, et al.
Publicado: (2011) -
A Unifying Framework for Evaluating the Predictive Power of Genetic Variants Based on the Level of Heritability Explained
por: So, Hon-Cheong, et al.
Publicado: (2010)