code: def select_cols_hail_gwas_results_linear(hl_result_df):
      """
      rename hail columns for linear regression to match glow
      """
      hl_result_df = hl_result_df.select(
          hl_result_df["phenotype"],
          hl_result_df["`locus.contig`"].alias("contigName"),
          (hl_result_df["`locus.position`"] - fx.lit(1)).alias("start"),
          hl_result_df.alleles[0].alias("referenceAllele"),
          fx.array(hl_result_df.alleles[1]).alias("alternateAlleles"),
          hl_result_df.p_value.alias("hl_p_value"),
          hl_result_df.beta.alias("hl_beta"),
          hl_result_df.n.alias("hl_n"),
          hl_result_df.sum_x.alias("hl_sum_x"),
          hl_result_df.y_transpose_x.alias("hl_y_transpose_x"),
          hl_result_df.standard_error.alias("hl_standard_error"),
      )
      return hl_result_df
  
label_desc: Use image node_id 2 for calling a global function with example usage: select_cols_hail_gwas_results_linear(hl_result_df) and returns: hl_result_df