[GEN-1704] Filter out germline variants from sv files

genie/database_to_staging.py

@@ -682,6 +682,28 @@ def store_gene_panel_files(
     return genePanelEntities
 
 
+def filter_out_germline_variants(
+    input_data: pd.DataFrame, status_col_str: str
+) -> pd.DataFrame:
+    """Filters out germline variants given a status col str. Genie pipeline
+        cannot have any of these variants. NOTE: We have to search for the
+        status column because there's no column name validation in the release
+        steps so the status column may have different casing.
+
+    Args:
+        input_data (pd.DataFrame): input data with germline variants to filter out
+        status_col_str (str): search string for the status column for the data
+
+    Returns:
+        pd.DataFrame: filtered out germline variant data
+    """
+    # find status col SV_Status
+    status_col = [
+        col for col in input_data.columns if col.lower() == status_col_str.lower()
+    ][0]
+    return input_data[input_data[status_col] != "GERMLINE"].reset_index(drop=True)
+
+
 # TODO: add to load.py
 def store_sv_files(
     syn: synapseclient.Synapse,
@@ -716,7 +738,6 @@ def store_sv_files(
     # sv_df["ENTREZ_GENE_ID"].mask(
     #     sv_df["ENTREZ_GENE_ID"] == 0, float("nan"), inplace=True
     # )
-
     if not current_release_staging:
         sv_staging_df = sv_df[
             sv_df["SAMPLE_ID"].isin(keep_for_center_consortium_samples)
@@ -735,6 +756,7 @@ def store_sv_files(
                 )
 
     sv_df = sv_df[sv_df["SAMPLE_ID"].isin(keep_for_merged_consortium_samples)]
+    sv_df = filter_out_germline_variants(input_data=sv_df, status_col_str="SV_STATUS")
     sv_df.rename(columns=transform._col_name_to_titlecase, inplace=True)
     sv_text = process_functions.removePandasDfFloat(sv_df)
     sv_path = os.path.join(GENIE_RELEASE_DIR, "data_sv.txt")

tests/test_database_to_staging.py

@@ -3,8 +3,10 @@
 import os
 from unittest import mock
 from unittest.mock import patch
+import pytest
 
 import pandas as pd
+from pandas.testing import assert_frame_equal
 import synapseclient
 
 from genie import database_to_staging, extract, load
@@ -106,3 +108,52 @@ def test_store_assay_info_files(syn):
             used=f"{FILEVIEW_SYNID}.2",
         )
         assert wes_ids == ["A"]
+
+
+@pytest.mark.parametrize(
+    "input_data, filter_col, expected_result",
+    [
+        (
+            pd.DataFrame(
+                dict(
+                    SV_STATUS=["GERMLINE", "GERMLINE"], Sample_ID=["GENIE-1", "GENIE-2"]
+                )
+            ),
+            "SV_STATUS",
+            pd.DataFrame(columns=["SV_STATUS", "Sample_ID"]),
+        ),
+        (
+            pd.DataFrame(
+                dict(
+                    SV_STATUS=["GERMLINE", "SOMATIC"], Sample_ID=["GENIE-1", "GENIE-2"]
+                )
+            ),
+            "SV_STATUS",
+            pd.DataFrame(dict(SV_STATUS=["SOMATIC"], Sample_ID=["GENIE-2"])),
+        ),
+        (
+            pd.DataFrame(
+                dict(SV_STATUS=["SOMATIC", "SOMATIC"], Sample_ID=["GENIE-1", "GENIE-2"])
+            ),
+            "SV_STATUS",
+            pd.DataFrame(
+                dict(SV_STATUS=["SOMATIC", "SOMATIC"], Sample_ID=["GENIE-1", "GENIE-2"])
+            ),
+        ),
+        (
+            pd.DataFrame(
+                dict(
+                    SV_Status=["GERMLINE", "SOMATIC"], Sample_ID=["GENIE-1", "GENIE-2"]
+                )
+            ),
+            "SV_STATUS",
+            pd.DataFrame(dict(SV_Status=["SOMATIC"], Sample_ID=["GENIE-2"])),
+        ),
+    ],
+    ids=["all_germline", "some_germline", "no_germline", "diff_status_col_case"],
+)
+def test_that_filter_out_germline_variants_returns_expected(
+    input_data, filter_col, expected_result
+):
+    result = database_to_staging.filter_out_germline_variants(input_data, filter_col)
+    assert_frame_equal(result, expected_result, check_index_type=False)