diff --git a/code/mnm_analysis/mnm_methods/mnm_regression.ipynb b/code/mnm_analysis/mnm_methods/mnm_regression.ipynb
index f0947d3b3..f57c1f5be 100644
--- a/code/mnm_analysis/mnm_methods/mnm_regression.ipynb
+++ b/code/mnm_analysis/mnm_methods/mnm_regression.ipynb
@@ -555,6 +555,8 @@
     "# to determine if follow up analysis will be continued or to simply return NULL\n",
     "# If this is negative we use a default way to determine this cutoff which is conservative but still useful\n",
     "parameter: skip_analysis_pip_cutoff = []\n",
+    "# Modify Finemapping parameters\n",
+    "parameter: finemapping_extra_opts = \"\"\n",
     "# Skip fine-mapping\n",
     "parameter: skip_fine_mapping = False\n",
     "# Skip TWAS weights computation\n",
@@ -993,6 +995,7 @@
     "                                                                      # fine-mapping results summary\n",
     "                                                                      signal_cutoff = ${pip_cutoff},\n",
     "                                                                      coverage = c(${\",\".join([str(x) for x in coverage])}),\n",
+    "                                                                      finemapping_extra_opts = ${finemapping_extra_opts if finemapping_extra_opts else \"list(refine = TRUE)\"},\n",
     "                                                                      # TWAS weights and CV for TWAS weights\n",
     "                                                                      twas_weights = FALSE, \n",
     "                                                                      max_cv_variants=${max_cv_variants},\n",
@@ -1029,6 +1032,7 @@
     "                                                                  # fine-mapping results summary\n",
     "                                                                  signal_cutoff = ${pip_cutoff},\n",
     "                                                                  coverage = c(${\",\".join([str(x) for x in coverage])}),\n",
+    "                                                                  finemapping_extra_opts = ${finemapping_extra_opts if finemapping_extra_opts else \"list(refine = TRUE)\"},\n",
     "                                                                  # TWAS weights and CV for TWAS weights\n",
     "                                                                  twas_weights = TRUE, \n",
     "                                                                  max_cv_variants=${max_cv_variants},\n",