Search a node by its id field, or its name field — meta_nodes_search

GET /meta/nodes/{meta_node}/search

meta_nodes_search_node(
  meta_node,
  id = NULL,
  name = NULL,
  limit = 10,
  full_data = TRUE,
  mode = c("table", "raw")
)

Arguments

meta_node	Name of a meta node (e.g. Gwas). Use `meta_nodes_list` to get the full list of meta nodes.
id	The id field of a node (e.g. "ieu-a-2" for a Gwas). Use EpiGraphDB web UI to get a sense of what those ids are for entities.
name	The name field of a node (e.g. "body mass index" for a Gwas). Use EpiGraphDB web UI to get a sense of what those names are for entities.
limit	Max number of items to retrieve.
full_data	When False, only return the id and name fields (their specific names differ in specific nodes) for a node. This is useful if you want your queries to return results faster with smaller amount of data requested.
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 /meta/nodes/{meta_node}/search

Examples

# List the first 5 MR relationships
meta_rels_list_rel(meta_rel = "MR", limit = 5)
#> # A tibble: 5 x 46
#>   n.note n.ncase n.access n.year n.mr  n.author n.consortium n.sex n.priority
#>   <lgl>  <chr>   <chr>    <chr>  <chr> <chr>    <chr>        <chr> <chr>     
#> 1 NA     8718    public   2017   1     Neale    Neale Lab    Male… 1         
#> 2 NA     118     public   2017   1     Neale    Neale Lab    Male… 1         
#> 3 NA     1489    public   2017   1     Neale    Neale Lab    Male… 1         
#> 4 NA     2469    public   2017   1     Neale    Neale Lab    Male… 1         
#> 5 NA     4609    public   2017   1     Neale    Neale Lab    Male… 1         
#> # … with 37 more variables: n.population <chr>, n.unit <chr>,
#> #   n.sample_size <chr>, n.nsnp <chr>, n.ncontrol <chr>, n.trait <chr>,
#> #   n.id <chr>, n.subcategory <lgl>, n.category <lgl>, r.b <dbl>, r.se <dbl>,
#> #   r.method <chr>, r.nsnp <int>, r.selection <chr>, r.pval <dbl>,
#> #   r.ci_upp <dbl>, r.log10pval <dbl>, r.ci_low <dbl>, r.moescore <dbl>,
#> #   m.ncase <chr>, m.access <chr>, m.year <chr>, m.mr <chr>, m.author <chr>,
#> #   m.consortium <lgl>, m.sex <chr>, m.priority <chr>, m.pmid <chr>,
#> #   m.population <chr>, m.unit <lgl>, m.sample_size <chr>, m.nsnp <chr>,
#> #   m.ncontrol <chr>, m.trait <chr>, m.id <chr>, m.subcategory <chr>,
#> #   m.category <chr>