Package: gpmapr 0.0.2.0

Gibran Hemani

gpmapr: Query the OpenGWAS genotype-phenotype map

This package is a simple wrapper around the OpenGWAS genotype-phenotype map API.

Authors:Gibran Hemani [aut, cre]

gpmapr_0.0.2.0.tar.gz
gpmapr_0.0.2.0.zip(r-4.7-any)gpmapr_0.0.2.0.zip(r-4.6-any)gpmapr_0.0.2.0.zip(r-4.5-any)
gpmapr_0.0.2.0.tgz(r-4.6-any)gpmapr_0.0.2.0.tgz(r-4.5-any)
gpmapr_0.0.2.0.tar.gz(r-4.7-any)gpmapr_0.0.2.0.tar.gz(r-4.6-any)
gpmapr_0.0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gpmapr/json (API)

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

Bug tracker:https://github.com/mrcieu/gpmapr/issues

On CRAN:

Conda:

5.76 score 6 stars 16 scripts 20 exports 37 dependencies

Last updated from:ec12a1414e. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE164
source / vignettesOK790
linux-releaseNOTE157
macos-releaseNOTE111
macos-oldrelNOTE154
windows-develNOTE112
windows-releaseNOTE110
windows-oldrelNOTE108
wasm-releaseOK105

Exports:all_genesall_traitsassociationsdelete_gwasgenegenesget_all_gene_pleiotropiesget_all_variant_pleiotropiesget_gwashealth_apild_matrixld_proxiesregionsearch_gpmaptraittrait_duplicatestraitsupload_gwasvariantvariants

Dependencies:askpassbitbit64clicliprcpp11crayoncurldplyrgenericsgluehmshttrjsonlitelifecyclemagrittrmimeopensslpillarpkgconfigprettyunitsprogresspurrrR6readrrlangstringistringrsystibbletidyrtidyselecttzdbutf8vctrsvroomwithr

GPMap tutorial: GWAS upload
Uploading a GWAS | Fetching your results | Interpreting your results | Study extractions | Coloc groups and coloc pairs | Deleting an upload

Last update: 2026-10-09
Started: 2026-03-26

Using gpmapr
Introduction | Getting started | Understanding info | Variant search returns proxy variants | Diving in | Trait example | How study_extractions, coloc_groups, and rare_results relate | Gene example | Coloc pairs example | Target–indication prioritisation workflow: Alzheimer's disease | Step 1: Genes mapped to Alzheimer's disease | Step 2: Rank by gene-level pleiotropy | Step 3: Variant-level specificity and consistency across variants and rare results | Diving deeper: TREM2 | Putting it together | Accessing summary statistics

Last update: 2026-05-13
Started: 2025-08-07

GPMap tutorial: Haemoglobin concentration case study
Trait colocalisations | Genome view | Complex trait colocalisations | Investigating a specific colocalisation group | TMPRSS6: eQTL/mQTL/sQTL and physiological measures | Region plot: scaled LBF values across all studies in the coloc group | Trait clustering

Last update: 2026-04-09
Started: 2026-03-26

Choosing Instrumental Variables tutorial

Last update: 2026-03-04
Started: 2026-03-04

Index of suspicion tutorial

Last update: 2026-03-04
Started: 2025-05-07

Tissue stratification tutorial

Last update: 2026-03-04
Started: 2025-05-07

Trait clustering tutorial

Last update: 2026-03-04
Started: 2025-05-07

Trait comparison tutorial

Last update: 2026-03-04
Started: 2026-03-04

Readme and manuals

Help Manual

Help pageTopics
All genesall_genes
All traitsall_traits
Get Associations by SNP ID and Study IDassociations
Delete a GWAS uploaddelete_gwas
Genegene
Genesgenes
Get All Gene Pleiotropiesget_all_gene_pleiotropies
Get All SNP Pleiotropiesget_all_variant_pleiotropies
Get a GWAS from the APIget_gwas
Get API Healthhealth_api
LD Matrixld_matrix
LD Proxiesld_proxies
Regionregion
Search the Genotype-Phenotype Mapsearch_gpmap
Traittrait
Trait duplicatestrait_duplicates
Traitstraits
Upload a GWAS to the APIupload_gwas
Variantvariant
Variantsvariants