diff --git a/gnomad_toolbox/analysis/general.py b/gnomad_toolbox/analysis/general.py
index 704173f..be9fb7e 100644
--- a/gnomad_toolbox/analysis/general.py
+++ b/gnomad_toolbox/analysis/general.py
@@ -3,79 +3,11 @@
 from typing import Dict, List, Optional, Tuple, Union
 
 import hail as hl
+from gnomad.assessment.summary_stats import freq_bin_expr
 
 from gnomad_toolbox.load_data import _get_gnomad_release
 
 
-# TODO: Modify this function in gnomad_methods.
-def freq_bin_expr(
-    freq_expr: Union[hl.expr.StructExpression, hl.expr.ArrayExpression],
-    index: int = 0,
-    ac_cutoffs: Optional[List[Union[int, Tuple[int, str]]]] = [
-        (0, "AC0"),
-        (1, "singleton"),
-        (2, "doubleton"),
-    ],
-    af_cutoffs: Optional[List[Union[float, Tuple[float, str]]]] = [
-        (1e-4, "0.01%"),
-        (1e-3, "0.1%"),
-        (1e-2, "1%"),
-        (1e-1, "10%"),
-    ],
-    upper_af: Optional[Union[float, Tuple[float, str]]] = (0.95, "95%"),
-) -> hl.expr.StringExpression:
-    """
-    Return frequency string annotations based on input AC or AF.
-
-    .. note::
-
-        - Default index is 0 because function assumes freq_expr was calculated with
-          `annotate_freq`.
-        - Frequency index 0 from `annotate_freq` is frequency for all pops calculated
-          on adj genotypes only.
-
-    :param freq_expr: Array of structs containing frequency information.
-    :param index: Which index of freq_expr to use for annotation. Default is 0.
-    :param ac_cutoffs: List of AC cutoffs to use for binning.
-    :param af_cutoffs: List of AF cutoffs to use for binning.
-    :param upper_af: Upper AF cutoff to use for binning.
-    :return: StringExpression containing bin name based on input AC or AF.
-    """
-    if isinstance(freq_expr, hl.expr.ArrayExpression):
-        freq_expr = freq_expr[index]
-
-    if ac_cutoffs and isinstance(ac_cutoffs[0], int):
-        ac_cutoffs = [(c, f"AC{c}") for c in ac_cutoffs]
-
-    if af_cutoffs and isinstance(af_cutoffs[0], float):
-        af_cutoffs = [(f, f"{f*100}%") for f in af_cutoffs]
-
-    if isinstance(upper_af, float):
-        upper_af = (upper_af, f"{upper_af*100}%")
-
-    freq_bin_expr = hl.case().when(hl.is_missing(freq_expr.AC), "Missing")
-    prev_af = None
-    for ac, name in sorted(ac_cutoffs):
-        freq_bin_expr = freq_bin_expr.when(freq_expr.AC == ac, name)
-        prev_af = name
-
-    for af, name in sorted(af_cutoffs):
-        prev_af = "<" if prev_af is None else f"{prev_af} - "
-        freq_bin_expr = freq_bin_expr.when(freq_expr.AF < af, f"{prev_af}{name}")
-        prev_af = name
-
-    if upper_af:
-        freq_bin_expr = freq_bin_expr.when(
-            freq_expr.AF > upper_af[0], f">{upper_af[1]}"
-        )
-        default_af = "<" if prev_af is None else f"{prev_af} - "
-        default_af = f"{default_af}{upper_af[1]}"
-    else:
-        default_af = f">{prev_af}"
-
-    return freq_bin_expr.default(default_af)
-
-
 def get_variant_count_by_freq_bin(
     af_cutoffs: List[float] = [0.001, 0.01],
     singletons: bool = False,