diff --git a/tests/test_post_process_results_format.py b/tests/test_post_process_results_format.py
new file mode 100644
index 0000000..60824f9
--- /dev/null
+++ b/tests/test_post_process_results_format.py
@@ -0,0 +1,39 @@
+import unittest
+
+import pandas as pd
+from pheval.post_processing.post_processing import PhEvalGeneResult
+
+from pheval_gado.post_process.post_process_results_format import PhEvalGeneResultFromGADOCreator
+
+gado_result = pd.DataFrame(
+    {'Ensg': {0: 'ENSG00000105607', 1: 'ENSG00000091483', 2: 'ENSG00000156709', 3: 'ENSG00000171503'},
+     'Hgnc': {0: 'GCDH', 1: 'FH', 2: 'AIFM1', 3: 'ETFDH'}, 'Rank': {0: 1, 1: 2, 2: 3, 3: 4},
+     'Zscore': {0: 8.588, 1: 8.53, 2: 8.47, 3: 8.317}, 'HP:0000256': {0: 3.0, 1: 3.0, 2: 2.67, 3: 3.0},
+     'HP:0002059': {0: 3.159, 1: 3.0, 2: 3.0, 3: 1.549}, 'HP:0002170': {0: 3.0, 1: 3.0, 2: 2.98, 3: 1.622},
+     'HP:0003215': {0: 5.55, 1: 5.962, 2: 5.668, 3: 7.842}, 'HP:0001332': {0: 4.494, 1: 4.111, 2: 4.621, 3: 4.585}})
+
+gado_entry = gado_result.iloc[0]
+
+
+class TestPhEvalGeneResultFromGADOCreator(unittest.TestCase):
+
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.gado_converter = PhEvalGeneResultFromGADOCreator(gado_result)
+
+    def test__find_gene_identifier(self):
+        self.assertEqual(self.gado_converter._find_gene_identifier(gado_entry), "ENSG00000105607")
+
+    def test__find_gene_symbol(self):
+        self.assertEqual(self.gado_converter._find_gene_symbol(gado_entry), "GCDH")
+
+    def test__find_score(self):
+        self.assertEqual(self.gado_converter._find_score(gado_entry), 8.588)
+
+    def test_extract_pheval_gene_requirements(self):
+        self.assertEqual(self.gado_converter.extract_pheval_gene_requirements(),
+                         [PhEvalGeneResult(gene_symbol='GCDH', gene_identifier='ENSG00000105607', score=8.588),
+                          PhEvalGeneResult(gene_symbol='FH', gene_identifier='ENSG00000091483', score=8.53),
+                          PhEvalGeneResult(gene_symbol='AIFM1', gene_identifier='ENSG00000156709', score=8.47),
+                          PhEvalGeneResult(gene_symbol='ETFDH', gene_identifier='ENSG00000171503', score=8.317)]
+                         )