Cargando…
Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes
Genome-wide association studies (GWAS) aim to identify genetic factors associated with phenotypes. Standard analyses test variants for associations individually. However, variant-level associations are hard to identify and can be difficult to interpret biologically. Enrichment analyses help address...
Autores principales: | Zhu, Xiang, Stephens, Matthew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195536/ https://www.ncbi.nlm.nih.gov/pubmed/30341297 http://dx.doi.org/10.1038/s41467-018-06805-x |
Ejemplares similares
-
GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network
por: Namjou, Bahram, et al.
Publicado: (2019) -
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
por: Scott, Robert A, et al.
Publicado: (2012) -
Large-scale multitrait genome-wide association analyses identify hundreds of glaucoma risk loci
por: Han, Xikun, et al.
Publicado: (2023) -
Genome-wide imputed differential expression enrichment analysis identifies trait-relevant tissues
por: Ghaffar, Ammarah, et al.
Publicado: (2023) -
Large scale genome-wide association analyses identify novel genetic loci and mechanisms in hypertrophic cardiomyopathy
por: Tadros, Rafik, et al.
Publicado: (2023)