Drugs for risk factors

GET /drugs/risk-factors

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: 6,684 x 13
#>    trait.id trait.trait assoc_trait.id assoc_trait.tra… variant.name gene.name
#>    <chr>    <chr>       <chr>          <chr>            <chr>        <chr>    
#>  1 ieu-a-2  Body mass … ukb-a-344      Difficulty not … rs8040868    CHRNA3   
#>  2 ieu-a-2  Body mass … ukb-a-344      Difficulty not … rs8040868    CHRNA3   
#>  3 ieu-a-2  Body mass … ukb-a-344      Difficulty not … rs8040868    CHRNA3   
#>  4 ieu-a-2  Body mass … ukb-a-344      Difficulty not … rs8040868    CHRNA3   
#>  5 ieu-a-2  Body mass … ukb-a-344      Difficulty not … rs8040868    CHRNA3   
#>  6 ieu-a-2  Body mass … ukb-a-344      Difficulty not … rs8040868    CHRNA3   
#>  7 ieu-a-2  Body mass … ieu-a-60       Waist circumfer… rs7903146    TCF7L2   
#>  8 ieu-a-7… Body mass … ukb-a-323      Age started ora… rs9311507    CACNA1D  
#>  9 ieu-a-7… Body mass … ukb-a-323      Age started ora… rs9311507    CACNA1D  
#> 10 ieu-a-7… Body mass … ukb-a-323      Age started ora… rs9311507    CACNA1D  
#> # … with 6,674 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>