diff --git a/phyclone/data/cluster_outlier_probabilities.py b/phyclone/data/cluster_outlier_probabilities.py
index 985ee7b..473efa0 100644
--- a/phyclone/data/cluster_outlier_probabilities.py
+++ b/phyclone/data/cluster_outlier_probabilities.py
@@ -73,7 +73,7 @@ def _finalize_loss_prob_on_cluster_df(cluster_df, high_loss_prob, lost_clusters,
         print(
             "{num} potentially lost/outlier cluster{pl} identified,"
             " setting {pos} prior loss prob to {pr}."
-            "\nRemaining cluster(s) will have a prior loss prob of {prl}.".format(
+            "\nRemaining cluster(s) will use a prior loss prob of {prl}.".format(
                 num=len(lost_clusters), pl=pluralize, pr=high_loss_prob, pos=possessive, prl=low_loss_prob
             )
         )
@@ -86,7 +86,7 @@ def _finalize_loss_prob_on_cluster_df(cluster_df, high_loss_prob, lost_clusters,
 
 
 def _get_truncal_chrom_arr(df, truncal_cluster):
-    df = df[["cluster_id", "chrom", "coord", "mutation_id"]].drop_duplicates()
+    df = df[["cluster_id", "chrom", "mutation_id"]].drop_duplicates()
     df = df.loc[df["cluster_id"] == truncal_cluster]
     truncal_dists = list()
     grouped = df.groupby("chrom", sort=False)
diff --git a/phyclone/data/pyclone.py b/phyclone/data/pyclone.py
index e149915..a9f7dd6 100644
--- a/phyclone/data/pyclone.py
+++ b/phyclone/data/pyclone.py
@@ -123,7 +123,7 @@ def _setup_cluster_df(
             if "chrom" not in cluster_df.columns:
                 data_df = pd.read_table(data_file)
                 if "chrom" in data_df.columns:
-                    data_df = data_df[["mutation_id", "chrom", "coord"]]
+                    data_df = data_df[["mutation_id", "chrom"]]
                     cluster_df = pd.merge(cluster_df, data_df, how="inner", on=["mutation_id"])
                     cluster_df = cluster_df.drop_duplicates()
                 else: