PGx: CYP2D6 structures from sub-region CN — *68+*4, *36+*10, *13 (PGX-013/018)

Sub-region CNs (p5, intron 2, exon 9) resolve full copies and *36/*68/*13 units; candidates carry the
tandem names, background alleles, and CPIC activity sums. GeT-RM: CYP2D6 13/15 top (NA12878 *3/*68+*4 and
NA11832 *1/*68+*4 exact), 15/15 within feasible; all genes 132/144.
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kemal committed 2026-09-29 16:29:54 +01:00
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@@ -30,7 +30,7 @@ Status: **implemented for CPIC star-allele genes, interim validation** (2026-09-
|---|---|---| |---|---|---|
| CYP2C9 | **15/15** | 15/15 | | CYP2C9 | **15/15** | 15/15 |
| CYP2C19 | **14/15** | 15/15 | | CYP2C19 | **14/15** | 15/15 |
| CYP2D6 | **12/15** | 14/15 | | CYP2D6 | **13/15** | **15/15** |
| CYP3A5 | 15/15 | 15/15 | | CYP3A5 | 15/15 | 15/15 |
| TPMT | 15/16 | 15/16 | | TPMT | 15/16 | 15/16 |
| CYP2B6 | 12/14 | 12/14 | | CYP2B6 | 12/14 | 12/14 |
@@ -41,16 +41,21 @@ Status: **implemented for CPIC star-allele genes, interim validation** (2026-09-
| GSTM1 (CN: DEL/DEL vs present) | 9/9 | 9/9 | | GSTM1 (CN: DEL/DEL vs present) | 9/9 | 9/9 |
| GSTT1 (CN 0/1/2) | 7/9 | 7/9 | | GSTT1 (CN 0/1/2) | 7/9 | 7/9 |
| UGT2B17 (CN) | 2/2 | 2/2 | | UGT2B17 (CN) | 2/2 | 2/2 |
| **total** | **131/144 (91.0 %)** | **134/144 (93.1 %)** | | **total** | **132/144 (91.7 %)** | **135/144 (93.8 %)** |
PGX-032 target (≥ 90 % for CYP2D6/CYP2C19/CYP2C9 against truth): **41/45 = 91 %** (top solution). PGX-032 target (≥ 90 % for CYP2D6/CYP2C19/CYP2C9 against truth): **42/45 = 93 %** (top solution), 45/45 within
the array-equivalent feasible solutions.
CYP2D6 structures (PGX-013) come from the three sub-region CNs (`simurg.pgx.star.cyp2d6_structure`): NA12878
`*3/*68+*4` and NA11832 `*1/*68+*4` are called exactly as GeT-RM reports them; one sample is called `*36+*10/*4`
(p5 = intron 2 = 3, exon 9 = 2; no GeT-RM truth). The two remaining top-solution misses are *1 vs *2, which this
array cannot separate (both within the feasible set).
Details and every discordant call: `V2_pgx_star_getrm16.json`. Details and every discordant call: `V2_pgx_star_getrm16.json`.
Not in the total (GeT-RM uses pre-2023 names the CPIC definitions no longer carry): UGT1A1 (GeT-RM `*60`; Not in the total (GeT-RM uses pre-2023 names the CPIC definitions no longer carry): UGT1A1 (GeT-RM `*60`;
0/9 top) and SLCO1B1 (`*1B/*17/*21` vs CPIC `*37/*15/*20`; 9/15 top). 0/9 top) and SLCO1B1 (`*1B/*17/*21` vs CPIC `*37/*15/*20`; 9/15 top).
Remaining discordances: CYP2D6 `*3/(*68)+*4` (NA12878; *68 hybrids not modelled, *3 frameshift probe), CYP2D6 *2 vs Remaining discordances: CYP2D6 *2 vs *1 where the array cannot separate them (prior picks *1), CYP2C19 *8, TPMT *21, CYP2B6 *27, CYP4F2 *2 — rare
*1 where the array cannot separate them (prior picks *1), CYP2C19 *8, TPMT *21, CYP2B6 *27, CYP4F2 *2 — rare
alleles whose defining variants are absent or masked on this array. alleles whose defining variants are absent or masked on this array.
## Error model (K-029) ## Error model (K-029)
@@ -79,5 +84,5 @@ so the per-call error is 1e-3 (GS ≥ 0.15) and errors are handled by the probe
`Reference`, phenotype diplotype from the two lowest-activity carried variants), HLA-A/B tag variants (PGX-007, `Reference`, phenotype diplotype from the two lowest-activity carried variants), HLA-A/B tag variants (PGX-007,
positions resolved from the manifest's probes, flag `tag_caveat`), and GSTM1/GSTT1/UGT2B17 `*0` genotypes from positions resolved from the manifest's probes, flag `tag_caveat`), and GSTM1/GSTT1/UGT2B17 `*0` genotypes from
the targeted CN (PGX-006). the targeted CN (PGX-006).
* Not yet: CYP2D6 hybrids (*13, *36, *68); PharmVar-only * Not yet: PharmVar-only
genes (CYP2A6, CYP3A4, CYP1A2, …); DPWG tables. genes (CYP2A6, CYP3A4, CYP1A2, …); DPWG tables.
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@@ -19,8 +19,8 @@
}, },
"CYP2D6": { "CYP2D6": {
"n": 15, "n": 15,
"top": 12, "top": 13,
"equivalent": 14 "equivalent": 15
}, },
"CYP3A5": { "CYP3A5": {
"n": 15, "n": 15,
@@ -84,8 +84,8 @@
], ],
"total": { "total": {
"n": 144, "n": 144,
"top": 131, "top": 132,
"equivalent": 134 "equivalent": 135
}, },
"discordant": [ "discordant": [
{ {
@@ -137,13 +137,6 @@
"call": "rs9923231 T/T", "call": "rs9923231 T/T",
"within_equivalents": false "within_equivalents": false
}, },
{
"individual": "NA12878",
"gene": "CYP2D6",
"truth": "*3/(*68)+*4",
"call": "*4x2/*1;*4x2/*82",
"within_equivalents": false
},
{ {
"individual": "NA12878", "individual": "NA12878",
"gene": "UGT1A1", "gene": "UGT1A1",
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@@ -67,7 +67,7 @@ def truth_alternatives(text: str) -> list[list[set[str]]]:
def matches(call: tuple[str, str], truth: list[list[set[str]]]) -> bool: def matches(call: tuple[str, str], truth: list[list[set[str]]]) -> bool:
a, b = (re.sub(r"x\d+$", "", x) for x in call) a, b = (re.sub(r"x\d+$", "", x.split("+")[-1]) for x in call) # tandem "*68+*4" → core "*4"
return any((a in t[0] and b in t[1]) or (a in t[1] and b in t[0]) for t in truth) return any((a in t[0] and b in t[1]) or (a in t[1] and b in t[0]) for t in truth)
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@@ -78,12 +78,15 @@ def phenotype(t: GuidelineTable, haplotypes: tuple[str, ...]) -> PhenotypeResult
deletion = {"*5", "*0"} deletion = {"*5", "*0"}
if t.activity_based: if t.activity_based:
vals: list[float] = [] vals: list[float] = []
for h in haplotypes: for h in haplotypes: # a tandem "*36+*10" or "*68+*4" sums its units (CPIC activity-score rule)
core, n = _split(h) hap_act = 0.0
for unit in h.split("+"):
core, n = _split(unit)
a = 0.0 if core in deletion else t.activity.get(core) a = 0.0 if core in deletion else t.activity.get(core)
if a is None: if a is None:
return PhenotypeResult("Indeterminate", None, ["phenotype_not_in_guideline"]) return PhenotypeResult("Indeterminate", None, ["phenotype_not_in_guideline"])
vals.append(a * n) hap_act += a * n
vals.append(hap_act)
counts: dict[str, int] = {} counts: dict[str, int] = {}
for v in vals: for v in vals:
s = f"{v:.1f}" if abs(v * 10 - round(v * 10)) < 1e-9 else f"{v:g}" s = f"{v:.1f}" if abs(v * 10 - round(v * 10)) < 1e-9 else f"{v:g}"
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@@ -115,14 +115,81 @@ def candidates(m: GeneModel, cn: int | None) -> list[tuple[tuple[int, ...], tupl
return out return out
@dataclass(frozen=True)
class Cyp2d6Structure:
"""CYP2D6 copies from the sub-region CNs (PGX-013) [OURS; DOC: PharmVar CYP2D6 structural variation]:
``full`` complete CYP2D6 copies, ``u36`` *36-type units (CYP2D7 exon 9), ``u68`` *68-type units (CYP2D6 exon 1
only), ``u13`` *13-type units (CYP2D7 5′ part). CN(p5) = full + u36 + u68, CN(intron 2) = full + u36 + u13,
CN(exon 9) = full + u13; with u68 · u13 = 0 this has one solution."""
full: int
u36: int
u68: int
u13: int
def cyp2d6_structure(p5: int | None, intron2: int | None, exon9: int | None) -> Cyp2d6Structure | None:
if p5 is None:
return None
ni = p5 if intron2 is None else intron2
n9 = ni if exon9 is None else exon9
u36 = max(0, ni - n9)
x = p5 - u36 - n9
if x >= 0:
full, u68, u13 = n9, x, 0
else:
full, u68, u13 = p5 - u36, 0, -x
if full < 0:
return Cyp2d6Structure(max(0, p5), 0, 0, 0)
return Cyp2d6Structure(full, u36, u68, u13)
def structure_candidates(m: GeneModel, st: Cyp2d6Structure) -> list[tuple[tuple[int, ...], tuple[str, ...]]]:
"""Candidates for a CYP2D6 structure: SNV copies = full + u36 (a *36 unit carries the *10 sequence up to exon 8);
*36 units attach to a *10 copy (``*36+*10``), *68 units to *4 when present (``*68+*4``), *13 units are separate
haplotypes."""
snv_copies = st.full + st.u36
base = candidates(m, snv_copies)
i10 = m.haplotypes.index("*10") if "*10" in m.haplotypes else None
out = []
for ix, names in base:
names_l = list(names)
if st.u36:
if i10 is None or ix.count(i10) < st.u36 + 1: # the *36 unit(s) plus the *10 they precede
continue
k = next((n for n, x in enumerate(names_l) if x.startswith("*10")), None)
if k is None:
continue
unit = "*36" if st.u36 == 1 else f"*36x{st.u36}"
names_l[k] = f"{unit}+*10"
if st.u68:
unit = "*68" if st.u68 == 1 else f"*68x{st.u68}"
k = next((n for n, x in enumerate(names_l) if x.split("+")[-1].split("x")[0] == "*4"), 0)
names_l[k] = f"{unit}+{names_l[k]}"
if st.u13:
if len(names_l) == 2 and names_l[1] == (m.deletion_allele or "*0"):
names_l[1] = "*13" if st.u13 == 1 else f"*13x{st.u13}"
else:
names_l[0] = f"*13+{names_l[0]}"
out.append((ix, tuple(names_l)))
return out
def call_gene( def call_gene(
m: GeneModel, obs: Observations, cn: int | None = None, baf_sigma: float = 0.06, ploidy: int = 2, m: GeneModel, obs: Observations, cn: int | None = None, baf_sigma: float = 0.06, ploidy: int = 2,
max_candidates: int = 10, feasible_ratio: float = 0.5, max_candidates: int = 10, feasible_ratio: float = 0.5, structure: Cyp2d6Structure | None = None,
) -> tuple[list[Solution], list[Solution]]: # fmt: skip ) -> tuple[list[Solution], list[Solution]]: # fmt: skip
"""All scored solutions (ranked) and the feasible ones (PGX-014/015).""" """All scored solutions (ranked) and the feasible ones (PGX-014/015)."""
called = obs.state == CALLED called = obs.state == CALLED
haploid = [((i,), (m.haplotypes[i],)) for i in range(len(m.haplotypes))] haploid: list[tuple[tuple[int, ...], tuple[str, ...]]] = [((i,), (m.haplotypes[i],)) for i in
cands = haploid if ploidy == 1 else candidates(m, cn) range(len(m.haplotypes))] # fmt: skip
if ploidy == 1:
cands = haploid
elif structure is not None and (structure.u36 or structure.u68 or structure.u13):
cands = structure_candidates(m, structure)
cn = structure.full + structure.u36
else:
cands = candidates(m, cn)
if not cands: if not cands:
return [], [] return [], []
carries = m.carries.astype(np.int16) carries = m.carries.astype(np.int16)
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@@ -23,11 +23,22 @@ import numpy.typing as npt
from simurg import __version__ from simurg import __version__
from simurg.core.errors import ExitCode, SimurgError from simurg.core.errors import ExitCode, SimurgError
from simurg.core.log import Reporter from simurg.core.log import Reporter
from simurg.pgx.star import CALLED, MASKED, NO_CALL, NOT_COVERED, GeneModel, Observations, Solution, call_gene from simurg.pgx.star import (
CALLED,
MASKED,
NO_CALL,
NOT_COVERED,
GeneModel,
Observations,
Solution,
call_gene,
cyp2d6_structure,
)
MAX_EDIT_DISTANCE = 3 # PGX-019 MAX_EDIT_DISTANCE = 3 # PGX-019
CN_REGION = {"CYP2D6": "CYP2D6.p5"} # PGX-013: total gene copies from the 5′ region CN_REGION = {"CYP2D6": "CYP2D6.p5"} # PGX-013: total gene copies from the 5′ region
CN_SOLUTION_REGIONS = {"CYP2D6": ("CYP2D6.p5", "CYP2D6.intron.2", "CYP2D6.exon.9")} # PGX-027 copy_number_solution
CN_ONLY_GENES = {"GSTM1": "GSTM1", "GSTT1": "GSTT1", "UGT2B17": "UGT2B17"} # PGX-006: *0 from whole-gene CN CN_ONLY_GENES = {"GSTM1": "GSTM1", "GSTT1": "GSTT1", "UGT2B17": "UGT2B17"} # PGX-006: *0 from whole-gene CN
ALL_BASES = ("star_allele", "haplotype_named", "variant_based", "tagging_variant") ALL_BASES = ("star_allele", "haplotype_named", "variant_based", "tagging_variant")
TAG_CAVEAT = "tag reliability varies by population" TAG_CAVEAT = "tag reliability varies by population"
@@ -350,8 +361,11 @@ def call_one_gene(
vrec = variant_records(m, recs) vrec = variant_records(m, recs)
region = CN_REGION.get(gene) region = CN_REGION.get(gene)
gcn = cn.get(region) if region else None gcn = cn.get(region) if region else None
sols, feasible = call_gene(m, obs, cn=gcn if region else None, ploidy=ploidy, structure = None
max_candidates=o.max_candidates, feasible_ratio=o.feasible_ratio) # fmt: skip if gene == "CYP2D6" and gcn is not None:
structure = cyp2d6_structure(gcn, cn.get("CYP2D6.intron.2"), cn.get("CYP2D6.exon.9"))
sols, feasible = call_gene(m, obs, cn=gcn if region else None, ploidy=ploidy, max_candidates=o.max_candidates,
feasible_ratio=o.feasible_ratio, structure=structure) # fmt: skip
if not sols: if not sols:
return None, [], [], [], [] return None, [], [], [], []
top = sols[0] top = sols[0]
@@ -398,7 +412,8 @@ def call_one_gene(
if al["background_allele"]), if al["background_allele"]),
"variant_change": ";".join(d["variant_change"] or []), "variant_change": ";".join(d["variant_change"] or []),
"score": f"{s_.score:.4f}", "raw_score": f"{s_.raw_score:.4f}", "score": f"{s_.score:.4f}", "raw_score": f"{s_.raw_score:.4f}",
"copy_number_solution": f"{region}={gcn}" if region and gcn is not None else "", "copy_number_solution": ";".join(f"{r}={cn.get(r)}" for r in CN_SOLUTION_REGIONS.get(gene, ())
if cn.get(r) is not None),
"flags": ";".join(sflags)}) # fmt: skip "flags": ";".join(sflags)}) # fmt: skip
for al in d["alleles"]: for al in d["alleles"]:
for sv in al["supporting_variants"]: for sv in al["supporting_variants"]:
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@@ -97,3 +97,18 @@ def test_variant_based_gene() -> None: # PGX-021: per-variant notation, diploty
recs = {("1", 100): [{"id": "p1", "ref": "C", "alts": ["T"], "gt": "0/0", "gs": "0.5", "baf": "0"}]} recs = {("1", 100): [{"id": "p1", "ref": "C", "alts": ["T"], "gt": "0/0", "gs": "0.5", "baf": "0"}]}
gj, *_ = call_variant_gene("s", "s", m, recs, set(), StarOptions([], Path("x"), Path("y"))) gj, *_ = call_variant_gene("s", "s", m, recs, set(), StarOptions([], Path("x"), Path("y")))
assert gj is not None and gj["genotype"] == "Reference" and gj["feasible_solutions"] == ["Reference/Reference"] assert gj is not None and gj["genotype"] == "Reference" and gj["feasible_solutions"] == ["Reference/Reference"]
def test_cyp2d6_structures() -> None: # PGX-013 CN rules
from simurg.pgx.star import Cyp2d6Structure, cyp2d6_structure, structure_candidates
assert cyp2d6_structure(3, 2, 2) == Cyp2d6Structure(2, 0, 1, 0) # *68 unit (NA12878 *3/*68+*4)
assert cyp2d6_structure(3, 3, 2) == Cyp2d6Structure(2, 1, 0, 0) # *36 unit
assert cyp2d6_structure(1, 2, 2) == Cyp2d6Structure(1, 0, 0, 1) # *13 hybrid
assert cyp2d6_structure(2, 2, 2) == Cyp2d6Structure(2, 0, 0, 0)
m = _model()
m.haplotypes = ["*1", "*4", "*10", "*2", "*5"]
names = {n for _, n in structure_candidates(m, Cyp2d6Structure(2, 0, 1, 0))}
assert ("*1", "*68+*4") in names and ("*68+*1", "*2") in names
names = {n for _, n in structure_candidates(m, Cyp2d6Structure(2, 1, 0, 0))}
assert ("*36+*10", "*4") in names and all("*36+*10" in n for n in names)