diff --git a/src/gentropy/colocalisation.py b/src/gentropy/colocalisation.py
index 4f8431b98..0dcdff206 100644
--- a/src/gentropy/colocalisation.py
+++ b/src/gentropy/colocalisation.py
@@ -8,7 +8,7 @@
 from pyspark.sql.functions import col
 
 from gentropy.common.session import Session
-from gentropy.dataset.study_locus import CredibleInterval, StudyLocus
+from gentropy.dataset.study_locus import StudyLocus
 from gentropy.method.colocalisation import Coloc
 
 
@@ -46,9 +46,7 @@ def __init__(
         )
 
         # Transform
-        overlaps = credible_set.filter_credible_set(
-            CredibleInterval.IS95
-        ).find_overlaps()
+        overlaps = credible_set.find_overlaps()
         colocalisation_results = colocalisation_class.colocalise(overlaps)  # type: ignore
 
         # Load
diff --git a/src/gentropy/dataset/study_locus.py b/src/gentropy/dataset/study_locus.py
index 333e44fdc..e3706eaf0 100644
--- a/src/gentropy/dataset/study_locus.py
+++ b/src/gentropy/dataset/study_locus.py
@@ -555,7 +555,7 @@ def filter_credible_set(
         self: StudyLocus,
         credible_interval: CredibleInterval,
     ) -> StudyLocus:
-        """Filter study-locus tag variants based on given credible interval.
+        """Annotate and filter study-locus tag variants based on given credible interval.
 
         Args:
             credible_interval (CredibleInterval): Credible interval to filter for.
@@ -564,7 +564,7 @@ def filter_credible_set(
             StudyLocus: Filtered study-locus dataset.
         """
         return StudyLocus(
-            _df=self._df.withColumn(
+            _df=self.annotate_credible_sets().df.withColumn(
                 "locus",
                 f.filter(
                     f.col("locus"),
diff --git a/src/gentropy/pics.py b/src/gentropy/pics.py
index 80421b9ae..e80a37eb6 100644
--- a/src/gentropy/pics.py
+++ b/src/gentropy/pics.py
@@ -28,10 +28,8 @@ def __init__(
             session, study_locus_ld_annotated_in
         )
         # PICS
-        picsed_sl = (
-            PICS.finemap(study_locus_ld_annotated)
-            .annotate_credible_sets()
-            .filter_credible_set(credible_interval=CredibleInterval.IS99)
+        picsed_sl = PICS.finemap(study_locus_ld_annotated).filter_credible_set(
+            credible_interval=CredibleInterval.IS99
         )
         # Write
         picsed_sl.df.write.mode(session.write_mode).parquet(picsed_study_locus_out)
diff --git a/src/gentropy/study_locus_validation.py b/src/gentropy/study_locus_validation.py
index d8eb21fec..287cd5645 100644
--- a/src/gentropy/study_locus_validation.py
+++ b/src/gentropy/study_locus_validation.py
@@ -4,7 +4,7 @@
 
 from gentropy.common.session import Session
 from gentropy.dataset.study_index import StudyIndex
-from gentropy.dataset.study_locus import StudyLocus
+from gentropy.dataset.study_locus import CredibleInterval, StudyLocus
 
 
 class StudyLocusValidationStep:
@@ -47,6 +47,8 @@ def __init__(
             .annotate_study_type(study_index)  # Add study type to study locus
             .qc_redundant_top_hits_from_PICS()  # Flagging top hits from studies with PICS summary statistics
             .qc_explained_by_SuSiE()  # Flagging credible sets in regions explained by SuSiE
+            # Annotates credible intervals and filter to only keep 99% credible sets
+            .filter_credible_set(credible_interval=CredibleInterval.IS99)
         ).persist()  # we will need this for 2 types of outputs
 
         study_locus_with_qc.valid_rows(