ieugwasr:与IEU GWAS数据库API的R接口

# Perform fast queries in R against a massive database of complete GWAS summary data <!-- badges: start --> [](https://www.tidyverse.org/lifecycle/#experimental) [](https://github.com/MRCIEU/ieugwasr/actions) [](https://codecov.io/github/mrcieu/ieugwasr) <!-- badges: end --> The [IEU GWAS database](https://gwas.mrcieu.ac.uk/) comprises over 10,000 curated, QC'd and harmonised complete GWAS summary datasets and can be queried using an API. See [here](https://gwas-api.mrcieu.ac.uk/docs) for documentation on the API itself. This R package is a wrapper to make generic calls to the API, plus convenience functions for specific queries. Methods currently implemented: - Get meta data about specific or all studies - Obtain the top hits (with on the fly clumping as an option) from each of the GWAS datasets. Clumping and significance thresholds can be specified - Obtain the summary results of specific variants across specific studies. LD-proxy lookups are performed automatically if a specific variant is absent from a study - Query a genomic region in a GWAS dataset, e.g. for fine mapping or colocalisation analysis - Perform PheWAS There are a few convenience functions also: - Query dbSNP data, allowing conversion between chromosome:position and rsids and getting annotations - Perform LD clumping using the server, or locally - Obtain LD matrices for a list of SNPs using the server or locally (e.g. for fine mapping, colocalisation or Mendelian randomization) See [https://github.com/MRCIEU/gwasglue] for information about how to connect the genotype and LD data to other packages involving colocalisation, finemapping, visualisation and MR. ## Installation You can install the developer version of ieugwasr with: ``` r devtools::install_github("mrcieu/ieugwasr") ``` Browse the vignettes etc for information on how to use this package: [https://mrcieu.github.io/ieugwasr/](https://mrcieu.github.io/ieugwasr/)