code: def prerender(graph: BELGraph) -> Mapping[str, Mapping[str, Any]]:
      
      import bio2bel_hgnc
      from bio2bel_hgnc.models import HumanGene
  
      graph: BELGraph = graph.copy()
      enrich_protein_and_rna_origins(graph)
      collapse_all_variants(graph)
      genes: Set[Gene] = get_nodes_by_function(graph, GENE)
      hgnc_symbols = {
          gene.name
          for gene in genes
          if gene.namespace.lower() == 'hgnc'
      }
  
      result = {}
  
      hgnc_manager = bio2bel_hgnc.Manager()
      human_genes = (
          hgnc_manager.session
              .query(HumanGene.symbol, HumanGene.location)
              .filter(HumanGene.symbol.in_(hgnc_symbols))
              .all()
      )
      for human_gene in human_genes:
          result[human_gene.symbol] = {
              'name': human_gene.symbol,
              'chr': (
                  human_gene.location.split('q')[0]
                  if 'q' in human_gene.location else
                  human_gene.location.split('p')[0]
              ),
          }
  
      df = get_df()
  
      for _, (gene_id, symbol, start, stop) in df[df['Symbol'].isin(hgnc_symbols)].iterrows():
          result[symbol]['start'] = start
          result[symbol]['stop'] = stop
  
      return result
docs: Generate the annotations JSON for Ideogram.