diff --git a/pipeline/analysis/add_domain_annotation.py b/pipeline/analysis/add_domain_annotation.py
new file mode 100755
index 000000000..b6438e493
--- /dev/null
+++ b/pipeline/analysis/add_domain_annotation.py
@@ -0,0 +1,87 @@
+#!/usr/bin/env python
+
+import argparse
+import csv
+import re
+import sys
+
+DOMAIN_NAME = "Domain"
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-i", "--input", default="build_final.tsv",
+                        help="built_final")
+    parser.add_argument("-o", "--output", default="built_with_domain.tsv",
+                        help="version of input file with new column added")
+    parser.add_argument("-b", "--bedfile", default="BRCAclinDomains.bed",
+                        help="BED file with the domain definition")
+    parser.add_argument("-d", "--debug", action="store_true", default=False,
+                        help="Print debugging info")
+    args = parser.parse_args()
+    return(args)
+
+
+def initialize_output_file(input_file, output_filename):
+    """
+    Create an empty output file with the new columns                        
+    """
+    new_columns = [DOMAIN_NAME]
+    input_header_row = input_file.fieldnames
+    if "change_type" in input_header_row:
+        idx = input_header_row.index("change_type")
+        output_header_row = input_header_row[:idx] + new_columns \
+            + input_header_row[idx:]
+    else:
+        output_header_row = input_header_row + new_columns
+    output_file = csv.DictWriter(open(output_filename,"w"),
+                                 fieldnames=output_header_row,
+                                 delimiter = '\t')
+    output_file.writeheader()
+    return(output_file)
+
+def read_domain_bed(bedfile):
+    domains = {}
+    with open(bedfile, 'r') as fp:
+        csv_reader = csv.reader(fp, delimiter='\t')
+        for row in csv_reader:
+            assert(len(row) >= 4)
+            interval = {}
+            chrom = re.sub("^chr", "", row[0])
+            interval["start"] = int(row[1])
+            interval["end"] = int(row[2])
+            interval["label"] = row[3]
+            if not chrom in domains:
+                domains[chrom]  = []
+            domains[chrom].append(interval)
+    return(domains)
+            
+
+def find_overlapping_domain(domains, chrom, start, end):
+    assert(chrom in domains)
+    for interval in domains[chrom]:
+        if start <= interval["end"] and end >= (interval["start"]+1):
+            return(interval["label"])
+    return(None)
+
+
+
+    
+def main():
+    csv.field_size_limit(sys.maxsize)
+    args = parse_args()
+    domains = read_domain_bed(args.bedfile)
+    with open(args.input, 'r') as input_fp:
+        input_reader = csv.DictReader(input_fp, delimiter = "\t")
+        writer = initialize_output_file(input_reader, args.output)
+        for variant in input_reader:
+            domain = find_overlapping_domain(domains, variant["Chr"],
+                                             int(variant["Hg38_Start"]),
+                                             int(variant["Hg38_End"]))
+            if domain is None:
+                variant[DOMAIN_NAME] = "-"
+            else:
+                variant[DOMAIN_NAME] = domain
+            writer.writerow(variant)
+                
+if __name__ == "__main__":
+    main()