Cargando…
META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies
INTRODUCTION: Gene-set analysis (GSA) methods are used as complementary approaches to genome-wide association studies (GWASs). The single marker association estimates of a predefined set of genes are either contrasted with those of all remaining genes or with a null non-associated background. To poo...
Autores principales: | Rosenberger, Albert, Friedrichs, Stefanie, Amos, Christopher I., Brennan, Paul, Fehringer, Gordon, Heinrich, Joachim, Hung, Rayjean J., Muley, Thomas, Müller-Nurasyid, Martina, Risch, Angela, Bickeböller, Heike |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4621033/ https://www.ncbi.nlm.nih.gov/pubmed/26501144 http://dx.doi.org/10.1371/journal.pone.0140179 |
Ejemplares similares
-
Gene-set meta-analysis of lung cancer identifies pathway related to systemic lupus erythematosus
por: Rosenberger, Albert, et al.
Publicado: (2017) -
Comparison of Pathway Analysis Approaches Using Lung Cancer GWAS Data Sets
por: Fehringer, Gordon, et al.
Publicado: (2012) -
Kernel score statistic for dependent data
por: Malzahn, Dörthe, et al.
Publicado: (2014) -
Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data
por: Malzahn, Dörthe, et al.
Publicado: (2016) -
Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies
por: Friedrichs, Stefanie, et al.
Publicado: (2017)