diff --git a/v03_pipeline/lib/reference_datasets/dbnsfp.py b/v03_pipeline/lib/reference_datasets/dbnsfp.py
index 3b59d75c5..79954da58 100644
--- a/v03_pipeline/lib/reference_datasets/dbnsfp.py
+++ b/v03_pipeline/lib/reference_datasets/dbnsfp.py
@@ -77,8 +77,10 @@ def get_ht(path: str, reference_genome: ReferenceGenome) -> hl.Table:
             **{k: predictor_parse(ht[k]) for k in PREDICTOR_FIELDS},
         )
         ht = ht.rename(rename)
-
-        return key_by_locus_alleles(ht, reference_genome)
+        ht = key_by_locus_alleles(ht, reference_genome)
+        return ht.group_by(*ht.key).aggregate(
+            **{f: hl.agg.max(ht[f]) for f in ht.row_key},
+        )
 
 
 def select(_: ReferenceGenome, dataset_type: DatasetType, ht: hl.Table) -> hl.Table:
diff --git a/v03_pipeline/lib/reference_datasets/eigen.py b/v03_pipeline/lib/reference_datasets/eigen.py
index 5e56cfdca..d4197299b 100644
--- a/v03_pipeline/lib/reference_datasets/eigen.py
+++ b/v03_pipeline/lib/reference_datasets/eigen.py
@@ -3,4 +3,5 @@
 
 def get_ht(path: str, *_) -> hl.Table:
     ht = hl.read_table(path)
-    return ht.select(Eigen_phred=ht.info['Eigen-phred'])
+    ht = ht.select(Eigen_phred=ht.info['Eigen-phred'])
+    return ht.group_by(*ht.key).aggregate(Eigen_phred=hl.agg.max(ht.Eigen_phred))
diff --git a/v03_pipeline/lib/reference_datasets/hmtvar.py b/v03_pipeline/lib/reference_datasets/hmtvar.py
index 0fdcdecd8..bd9e963ab 100644
--- a/v03_pipeline/lib/reference_datasets/hmtvar.py
+++ b/v03_pipeline/lib/reference_datasets/hmtvar.py
@@ -20,4 +20,5 @@ def get_ht(
         alleles=hl.array([ht.ref_rCRS, ht.alt]),
         score=ht.disease_score,
     )
-    return ht.key_by('locus', 'alleles')
+    ht = ht.key_by('locus', 'alleles')
+    return ht.group_by(*ht.key).aggregate(score=hl.agg.max(ht.score))
diff --git a/v03_pipeline/lib/reference_datasets/mitimpact.py b/v03_pipeline/lib/reference_datasets/mitimpact.py
index 4fb7c6d4d..e3f11a4ff 100644
--- a/v03_pipeline/lib/reference_datasets/mitimpact.py
+++ b/v03_pipeline/lib/reference_datasets/mitimpact.py
@@ -23,4 +23,5 @@ def get_ht(
             alleles=[ht.Ref, ht.Alt],
             score=hl.parse_float32(ht.APOGEE2_score),
         )
-        return ht.key_by('locus', 'alleles')
+        ht = ht.key_by('locus', 'alleles')
+        return ht.group_by(*ht.key).aggregate(score=hl.agg.max(ht.score))