Cargando…
Metasubtract: an R‐package to analytically produce leave‐one‐out meta‐analysis GWAS summary statistics
SUMMARY: Summary statistics from a meta‐analysis of genome‐wide association studies (meta-GWAS) can be used for many follow-up analyses. One valuable application is the creation of polygenic scores. However, if polygenic scores are calculated in a validation cohort that was part of the meta-GWAS con...
Autor principal: | Nolte, Ilja M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750933/ https://www.ncbi.nlm.nih.gov/pubmed/32696040 http://dx.doi.org/10.1093/bioinformatics/btaa570 |
Ejemplares similares
-
MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics
por: Murphy, Alan E, et al.
Publicado: (2021) -
tableone: An open source Python package for producing summary statistics for research papers
por: Pollard, Tom J, et al.
Publicado: (2018) -
gwasrapidd: an R package to query, download and wrangle GWAS catalog data
por: Magno, Ramiro, et al.
Publicado: (2019) -
bGWAS: an R package to perform Bayesian genome wide association studies
por: Mounier, Ninon, et al.
Publicado: (2020) -
pgainsim: an R-package to assess the mode of inheritance for quantitative trait loci in GWAS
por: Scherer, Nora, et al.
Publicado: (2021)