Cargando…
Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies
Advances in recent genome wide association studies (GWAS) suggest that pleiotropic effects on human complex traits are widespread. A number of classic and recent meta-analysis methods have been used to identify genetic loci with pleiotropic effects, but the overall performance of these methods is no...
Autores principales: | Zhu, Zhaozhong, Anttila, Verneri, Smoller, Jordan W., Lee, Phil H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832233/ https://www.ncbi.nlm.nih.gov/pubmed/29494641 http://dx.doi.org/10.1371/journal.pone.0193256 |
Ejemplares similares
-
Genome-Wide Meta-Analysis of Sciatica in Finnish Population
por: Lemmelä, Susanna, et al.
Publicado: (2016) -
Enrichment of statistical power for genome-wide association studies
por: Li, Meng, et al.
Publicado: (2014) -
Partitioning heritability by functional annotation using genome-wide association summary statistics
por: Finucane, Hilary K., et al.
Publicado: (2015) -
In silico phenotyping via co-training for improved phenotype prediction from genotype
por: Roqueiro, Damian, et al.
Publicado: (2015) -
Statistical Power of Model Selection Strategies for Genome-Wide Association Studies
por: Wu, Zheyang, et al.
Publicado: (2009)