Hello folks,

I would like to use a gene name (*e.g. DOCK2*) or its ENSEMBL ID as input, and get as output the reported GWAS traits to the respective gene. I did give a look into the [GWAS Catalog API](https://www.ebi.ac.uk/gwas/docs/api) webpage, but I didn't find a way to use gene as input. Also, I looked for R and Python libraries for doing that, and I couldn't find either (maybe I didn't search well). 

I know it's possible to do that for associations, studies, SNPs, and efoTraits. For instance, I could just use https://www.ebi.ac.uk/gwas/rest/api/singleNucleotidePolymorphisms/rs4918943 url, where it returns info for the SNP "rs4918943". I would like something similar for a gene ID, or a library that does it.

It would be great to input a gene and receives any output where I could retrieve the GWAS trais related to such gene.
Thanks in advance!
I didn't find the usage for it, but I figured out how to query it by using the following URL:

```
https://www.ebi.ac.uk/gwas/api/search/downloads?q=ensemblMappedGenes:{gene}&pvalfilter=&orfilter=&betafilter=&datefilter=&genomicfilter=&genotypingfilter[]=&traitfilter[]=&dateaddedfilter=&facet=association&efo=true
```

where we should replace `{gene}` with the gene symbol (*e.g.* TP53).

**Example using R:**
```r
# Required library # could be readr::read_delim() as well
library(data.table)

# Set the function 
genesymbol2gwas <- function(gene){
  url <- paste0(
    "https://www.ebi.ac.uk/gwas/api/search/downloads?q=ensemblMappedGenes:", gene,
    "&pvalfilter=&orfilter=&betafilter=&datefilter=&genomicfilter=&genotypingfilter[]=&traitfilter[]=&dateaddedfilter=&facet=association&efo=true"
  )
  return(fread(url))
}

# Use the function for gene "TP53"
genesymbol2gwas("TP53")
```

**Example using Python:**
```python
# Load library to read the result table as a dataframe
import pandas as pd

# Define the function
def genesymbol2gwas(gene):
    url = "https://www.ebi.ac.uk/gwas/api/search/downloads?q=ensemblMappedGenes:{}&pvalfilter=&orfilter=&betafilter=&datefilter=&genomicfilter=&genotypingfilter[]=&traitfilter[]=&dateaddedfilter=&facet=association&efo=true"
    return pd.read_csv(url.format(gene), sep='\t')

# Use the function for gene "TP53"
genesymbol2gwas("TP53")
```

Hope it helps someone in a similar situation =)