drugs_risk_factors(trait, pval_threshold = 1e-08, mode = c("table", "raw"))
Data from GET /drugs/risk-factors
# \dontrun{
drugs_risk_factors(trait = "Body mass index")
#> # A tibble: 39,072 × 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>
# }