Package: GMRP 1.33.0

Yuan-De Tan

GMRP: GWAS-based Mendelian Randomization and Path Analyses

Perform Mendelian randomization analysis of multiple SNPs to determine risk factors causing disease of study and to exclude confounding variabels and perform path analysis to construct path of risk factors to the disease.

Authors:Yuan-De Tan

GMRP_1.33.0.tar.gz
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GMRP.pdf |GMRP.html
GMRP/json (API)

# Install 'GMRP' in R:
install.packages('GMRP', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • SNP358.data - Data of 358 SNPs
  • SNP368annot.data - Annotation data of 368SNPs
  • beta.data - Beta Data Of SNP Regressed on Causal Variables and Disease
  • cad.data - BoldGWAS Meta-analyzed Data of Coronary Artery Disease
  • lpd.data - *GWAS* Meta-analyzed Data of Lipoprotein Cholesterols

On BioConductor:GMRP-1.33.0(bioc 3.20)GMRP-1.32.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

8 exports 0.91 score 20 dependencies

Last updated 2 months agofrom:0cc3fe0e87

Exports:chrpfmergemktablepathpathdiagrampathdiagram2snpPositAnnotucscannot

Dependencies:askpassBiocGenericscurldiagramGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitemimeopensslplotrixR6S4VectorsshapesysUCSC.utilsXVectorzlibbioc

Causal Effect Analysis of Risk Factors for Disease with the "GMRP" package

Rendered fromGMRP.Rnwusingutils::Sweaveon Jun 15 2024.

Last update: 2018-05-12
Started: 2016-03-23