diff --git a/drop/config/submodules/MonoallelicExpression.py b/drop/config/submodules/MonoallelicExpression.py
index 91ef5e04..5d87fb96 100644
--- a/drop/config/submodules/MonoallelicExpression.py
+++ b/drop/config/submodules/MonoallelicExpression.py
@@ -17,7 +17,7 @@ def __init__(
         super().__init__(config, sampleAnnotation, processedDataDir, processedResultsDir, workDir)
         self.CONFIG_KEYS = [
             "groups", "genome", "qcVcf", "qcGroups", "gatkIgnoreHeaderCheck", "padjCutoff",
-            "allelicRatioCutoff", "maxAF", "gnomAD"
+            "allelicRatioCutoff", "maxAF", "gnomAD","maxVarFreqCohort"
         ]
         self.name = "MonoallelicExpression"
         # if self.run is false return without doing any config/sa checks for completeness
@@ -173,7 +173,10 @@ def setGenomeDict(self, genomeFiles):
     # look up for a sampleID genomeFiles{ncbi -> path} and sampleGenomes {sampleID -> ncbi}
     def getGenomePath(self, sampleID):
         try:
-            return self.genomeFiles[self.sampleGenomes[sampleID]]
+            if len(self.genomeFiles) == 1:
+                return list(self.genomeFiles.values())[0]
+            else:
+                return self.genomeFiles[self.sampleGenomes[sampleID]]
         except KeyError:
             raise KeyError(
                 f"The Config file has defined specific key,value for genome path "
diff --git a/drop/demo/config_relative.yaml b/drop/demo/config_relative.yaml
index 4f09bd7d..f79852d0 100755
--- a/drop/demo/config_relative.yaml
+++ b/drop/demo/config_relative.yaml
@@ -57,7 +57,7 @@ mae:
     allelicRatioCutoff: 0.8
     addAF: false
     maxAF: .001
-    maxVarFreqCohort: .04
+    maxVarFreqCohort: 1
     # VCF-BAM matching
     qcVcf: Data/qc_vcf_1000G.vcf.gz
     qcGroups:
diff --git a/drop/modules/mae-pipeline/MAE/Datasets.R b/drop/modules/mae-pipeline/MAE/Datasets.R
index 451c1906..a6bb8eb1 100644
--- a/drop/modules/mae-pipeline/MAE/Datasets.R
+++ b/drop/modules/mae-pipeline/MAE/Datasets.R
@@ -24,7 +24,7 @@ devNull <- sapply(datasets, function(name){
     cat(paste0(
       "<h1>Dataset: ", name, "</h1>",
       "<p>",
-      "</br>", "<a href='MAE/", name, "--", version, "_results.html'   >MAE results</a>",
+      "</br>", "<a href='MonoallelicExpression/", name, "--", version, "_results.html'   >MAE results</a>",
       "</br>", "</p>"
     ))
   })
diff --git a/drop/modules/mae-pipeline/MAE/Results.R b/drop/modules/mae-pipeline/MAE/Results.R
index a7aa67b7..55de53d9 100644
--- a/drop/modules/mae-pipeline/MAE/Results.R
+++ b/drop/modules/mae-pipeline/MAE/Results.R
@@ -7,6 +7,7 @@
 #'  params:
 #'   - allelicRatioCutoff: '`sm cfg.MAE.get("allelicRatioCutoff")`'
 #'   - padjCutoff: '`sm cfg.MAE.get("padjCutoff")`'
+#'   - maxCohortFreq: '`sm cfg.MAE.get("maxVarFreqCohort")`'
 #'  input:
 #'   - mae_res: '`sm lambda w: expand(cfg.getProcessedResultsDir() + 
 #'                "/mae/samples/{id}_res.Rds", id=cfg.MAE.getMaeByGroup({w.dataset}))`'
@@ -18,6 +19,8 @@
 #'                "/mae/{dataset}/MAE_results_all_{annotation}.tsv.gz"`' 
 #'   - res_signif: '`sm cfg.getProcessedResultsDir() + 
 #'                   "/mae/{dataset}/MAE_results_{annotation}.tsv"`'
+#'   - res_signif_rare: '`sm cfg.getProcessedResultsDir() + 
+#'                   "/mae/{dataset}/MAE_results_{annotation}_rare.tsv"`'
 #'   - wBhtml: '`sm config["htmlOutputPath"] +
 #'               "/MonoallelicExpression/{dataset}--{annotation}_results.html"`'
 #'  type: noindex
@@ -77,12 +80,19 @@ res[, c('aux') := NULL]
 # Bring gene_name column front
 res <- cbind(res[, .(gene_name)], res[, -"gene_name"])
 
+# Calculate variant frequency within cohort 
+maxCohortFreq <-snakemake@params$maxCohortFreq
+res[, N_var := .N, by = .(gene_name, contig, position)]
+res[, cohort_freq := N_var / uniqueN(ID)]
+
+res[,rare := (rare | is.na(rare)) & cohort_freq <= maxCohortFreq] 
+
 # Add significance columns
 allelicRatioCutoff <- snakemake@params$allelicRatioCutoff
 res[, MAE := padj <= snakemake@params$padjCutoff &
-      (altRatio >= allelicRatioCutoff | altRatio <= (1-allelicRatioCutoff))] 
+      (altRatio >= allelicRatioCutoff | altRatio <= (1-allelicRatioCutoff)) 
+    ] 
 res[, MAE_ALT := MAE == TRUE & altRatio >= allelicRatioCutoff]
-
 #'
 #' Number of samples: `r uniqueN(res$ID)`
 #'
@@ -100,6 +110,10 @@ fwrite(res, snakemake@output$res_all, sep = '\t',
 fwrite(res[MAE_ALT == TRUE], snakemake@output$res_signif, 
        sep = '\t', row.names = F, quote = F)
 
+# Save significant results
+fwrite(res[MAE_ALT == TRUE & rare == TRUE], snakemake@output$res_signif_rare, 
+       sep = '\t', row.names = F, quote = F)
+
 
 # Add columns for plot
 res[, N := .N, by = ID]
@@ -125,6 +139,12 @@ ggplot(melt_dt, aes(variable, value)) + geom_boxplot() +
   labs(y = 'Heterozygous SNVs per patient', x = '') +
     annotation_logticks(sides = "l")
 
+#'
+#' ## Variant Frequency within Cohort Histogram
+ggplot(unique(res[,cohort_freq,by =.(gene_name, contig, position)]),aes(x = cohort_freq)) + geom_histogram( binwidth = 0.02)  +
+  geom_vline(xintercept = maxCohortFreq, col = "red") +
+  xlab("Variant frequency in cohort") + ylab("Count")
+
 #' Median of each category
 DT::datatable(melt_dt[, .(median = median(value, na.rm = T)), by = variable])
 
diff --git a/drop/modules/mae-pipeline/MAE/filterSNVs.sh b/drop/modules/mae-pipeline/MAE/filterSNVs.sh
index 54386d47..c59449c3 100755
--- a/drop/modules/mae-pipeline/MAE/filterSNVs.sh
+++ b/drop/modules/mae-pipeline/MAE/filterSNVs.sh
@@ -27,6 +27,7 @@ if [ $vcf_id != 'QC' ]; then sample_flag="-s ${vcf_id}"; fi
 $bcftools view  $vcf_file | \
     grep -vP '^##INFO=' | \
     awk -F'\t' 'BEGIN {OFS = FS} { if($1 ~ /^[^#]/){ $8 = "." }; print $0 }' | \
+    $bcftools norm -m-both | \
     $bcftools view ${sample_flag} -m2 -M2 -v snps -O z -o $tmp
 $bcftools index -t $tmp
 
diff --git a/tests/config/test_MAE.py b/tests/config/test_MAE.py
index 54bf1d80..54a2d8e6 100644
--- a/tests/config/test_MAE.py
+++ b/tests/config/test_MAE.py
@@ -11,7 +11,7 @@ def test_config(self,dropConfig,demo_dir):
             'allelicRatioCutoff': 0.8,
             'maxAF': 0.001,
             'addAF': False,
-            'maxVarFreqCohort': 0.04,
+            'maxVarFreqCohort': 1,
             'gnomAD': False
         }
         assert dict_.items() <= dropConfig.MAE.dict_.items()