drugs_risk_factors(trait, pval_threshold = 1e-08, mode = c("table", "raw"))

Arguments

trait

A trait name

pval_threshold

P-value threshold

mode

If mode = "table", returns a data frame (a tibble as per tidyverse convention). If mode = "raw", returns a raw response from EpiGraphDB API with minimal parsing done by httr.

Value

Data from GET /drugs/risk-factors

Examples

drugs_risk_factors(trait = "Body mass index")
#> # A tibble: 39,072 x 13 #> trait.id trait.trait assoc_trait.id assoc_trait.trait variant.name gene.name #> <chr> <chr> <chr> <chr> <chr> <chr> #> 1 ieu-a-974 Body mass … ukb-a-63 Non-cancer illne… rs7412 APOE #> 2 ieu-a-974 Body mass … ukb-a-63 Non-cancer illne… rs11617955 COL4A1 #> 3 ieu-a-974 Body mass … ukb-a-63 Non-cancer illne… rs11617955 COL4A1 #> 4 ieu-a-974 Body mass … ukb-a-63 Non-cancer illne… rs55730499 LPA #> 5 ieu-a-95 Body mass … ukb-a-104 Non-cancer illne… rs149717632 HLA-DRB1 #> 6 ieu-a-95 Body mass … ukb-a-104 Non-cancer illne… rs149717632 HLA-DRB1 #> 7 ieu-a-95 Body mass … ukb-a-104 Non-cancer illne… rs149717632 HLA-DRB1 #> 8 ieu-a-95 Body mass … ukb-a-104 Non-cancer illne… rs149717632 HLA-DRB1 #> 9 ebi-a-GC… Body mass … ukb-a-249 Weight rs35850753 TP53 #> 10 ebi-a-GC… Body mass … ukb-a-249 Weight rs35850753 TP53 #> # … with 39,062 more rows, and 7 more variables: drug.label <chr>, mr.b <dbl>, #> # mr.se <dbl>, mr.pval <dbl>, mr.method <chr>, mr.selection <chr>, #> # mr.moescore <dbl>