code: def get_ht_20160(self):
      ht_scores = hl.import_table(
          doctest_resource(
              "ld_score_regression.univariate_ld_scores.tsv"
          ),
          key="SNP",
          types={"L2": hl.tfloat, "BP": hl.tint},
      )
  
      ht_20160 = hl.import_table(
          doctest_resource("ld_score_regression.20160.sumstats.tsv"),
          key="SNP",
          types={"N": hl.tint, "Z": hl.tfloat},
      )
  
      ht_20160 = ht_20160.annotate(
          chi_squared=ht_20160["Z"] ** 2,
          n=ht_20160["N"],
          ld_score=ht_scores[ht_20160["SNP"]]["L2"],
          locus=hl.locus(
              ht_scores[ht_20160["SNP"]]["CHR"],
              ht_scores[ht_20160["SNP"]]["BP"],
          ),
          alleles=hl.array([ht_20160["A2"], ht_20160["A1"]]),
          phenotype="20160",
      )
  
      ht_20160 = ht_20160.key_by(ht_20160["locus"], ht_20160["alleles"])
  
      ht_20160 = ht_20160.select(
          ht_20160["chi_squared"],
          ht_20160["n"],
          ht_20160["ld_score"],
          ht_20160["phenotype"],
      )
      return ht_20160
  
imports: import numpy
  import hail
  import unittest
  import pytest
  from ..helpers import *
  from hail.utils import new_temp_file
label_desc: Use image node_id 7 for calling the Tests obj's underlying member method code with example usage: obj.get_ht_20160() and returns: ht_20160