kemalandClaude Opus 5.5
aee8caa39e
- fetch_sources.sh downloads ClinPGx clinicalVariants (CC BY-SA 4.0); pgx db build adds genotype-only variant-based genes (levels 1A-2B, level 3 for the parity list), rsIDs resolved from the manifest's probes: 70 genes in the DB. - pgx phenotype --guideline dpwg: CPIC mappings for CPIC genes (as ClinPGx curates DPWG), no phenotype for DPWG-only genes (flags dpwg_via_cpic_mapping / dpwg_mapping_not_available). K-029 updated. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01814GKVzZVL3FuF3DeiZXhv
104 lines
6.8 KiB
Markdown
104 lines
6.8 KiB
Markdown
# V2 — PGx DB and star-allele calling (PGX-001 … PGX-021)
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Status: **implemented for CPIC star-allele genes, interim validation** (2026-09-29).
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* `scripts/pgx/fetch_sources.sh` → CPIC API tables (CC0, data version 2026-08-03).
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* `simurg pgx db build` → deterministic SQLite: 22 genes, 1354 alleles, 1897 normalised variant rows; GSA v4 PGx
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probe map 5002 links; two builds byte-identical.
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* `simurg pgx star-allele call` → `diplotype_summary.tsv`, `pgx_calls.json` (11 star-allele genes).
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* `simurg pgx phenotype` (alias `annotate`) → per-sample `<sample>.pgx.json` (`simurg.pgx/1`) and
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`diplotype_annotations.tsv` with `#` metadata lines (PGX-024 … PGX-028); CPIC activity scores (xN = N × activity,
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*5/*0 = 0) and function-count lookups; disagreeing feasible solutions → `Indeterminate` plus per-solution
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phenotypes. `tests/unit/test_pgx_phenotype.py`.
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* Unit tests: `tests/unit/test_pgx_db.py`, `tests/unit/test_pgx_star.py`.
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## Data and truth
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* Arrays: the GSA v4 PGx demo (36 arrays = 30 CEPH/1000G individuals, `scripts/pgx/demo36_identity.tsv`), SNV VCFs
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and PGx CN VCFs from SimurgArray.
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* Star-allele truth: GeT-RM consolidated PGx/HLA table (CDC, 2025 V4) — 16 of the 30 individuals
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(`scripts/pgx/getrm_truth.py`).
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* Probe mask (PGX-010): array vs 1000G 30x (NYGC phased panel, fetched per gene over HTTPS) for the **other 14
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individuals** (`scripts/pgx/derive_masks.py`), so the mask is independent of the GeT-RM validation set: 8 of 658
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assessed records (23 probe names) below 95 % concordance — e.g. CYP2C19 rs367543002 and CYP2D6 rs1135836 called
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homozygous ALT in every sample, the UGT1A1 `C>CATAT` TA-repeat probe. Regenerate with the command in the script
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header (the mask lists vendor probe names and is not committed).
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## Result (16 individuals; replicate arrays counted once)
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| Gene | Top solution = GeT-RM | Truth among array-equivalent feasible solutions |
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|---|---|---|
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| CYP2C9 | **15/15** | 15/15 |
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| CYP2C19 | **14/15** | 15/15 |
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| CYP2D6 | **13/15** | **15/15** |
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| CYP3A5 | 15/15 | 15/15 |
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| TPMT | 15/16 | 15/16 |
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| CYP2B6 | 12/14 | 12/14 |
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| CYP4F2 | 8/9 | 8/9 |
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| NAT2 | 8/9 | 8/9 |
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| NUDT15 | 1/1 | 1/1 |
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| VKORC1 (rs9923231, c.-1639G>A) | 13/15 | 13/15 |
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| GSTM1 (CN: DEL/DEL vs present) | 9/9 | 9/9 |
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| GSTT1 (CN 0/1/2) | 7/9 | 7/9 |
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| UGT2B17 (CN) | 2/2 | 2/2 |
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| CYP3A4 (PharmVar) | **15/15** | 15/15 |
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| CYP2A6 (PharmVar; *4 deletion from CN) | 7/9 | 8/9 |
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| **total** | **154/168 (91.7 %)** | **158/168 (94.0 %)** |
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PGX-032 target (≥ 90 % for CYP2D6/CYP2C19/CYP2C9 against truth): **42/45 = 93 %** (top solution), 45/45 within
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the array-equivalent feasible solutions.
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CYP2D6 structures (PGX-013) come from the three sub-region CNs (`simurg.pgx.star.cyp2d6_structure`): NA12878
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`*3/*68+*4` and NA11832 `*1/*68+*4` are called exactly as GeT-RM reports them; one sample is called `*36+*10/*4`
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(p5 = intron 2 = 3, exon 9 = 2; no GeT-RM truth). The two remaining top-solution misses are *1 vs *2, which this
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array cannot separate (both within the feasible set).
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Details and every discordant call: `V2_pgx_star_getrm16.json`.
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Not in the total (GeT-RM uses older names or definitions than CPIC/PharmVar today): UGT1A1 (GeT-RM `*60`;
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0/9 top), SLCO1B1 (`*1B/*17/*21` vs CPIC `*37/*15/*20`; 9/15), CYP1A2 (lettered `*1F`; 0/9) and CYP2C8 (PharmVar now
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defines rs2071426 alone as `*19`; the array calls it concordantly with 1000G, GeT-RM reports those carriers as
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`*1`; 8/15).
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Remaining discordances: CYP2D6 *2 vs *1 where the array cannot separate them (prior picks *1), CYP2C19 *8, TPMT *21, CYP2B6 *27, CYP4F2 *2 — rare
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alleles whose defining variants are absent or masked on this array.
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## Error model (K-029)
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After masking, 0 of 9 740 array calls at DB variants disagreed with 1000G 30x in any GenCall-score bin (0.15–1.0),
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so the per-call error is 1e-3 (GS ≥ 0.15) and errors are handled by the probe mask. The first model,
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ε = 0.5·(1 − GS)², let correct low-GS calls lose to the prior (CYP2C9 7/15 → 15/15 after the change).
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## Caveats
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* 16 individuals, one array type, European (CEPH) only; masks from 14 individuals (spec: ≥ 100 samples).
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* CPIC now defines the GRCh38 reference as its own allele where it differs from *1 (CYP2C19 *38): a sample
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heterozygous at the *1-defining rs3758581 fits *1/*38 best (raw score 0.98), but *38 has no CPIC frequency, so the
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prior keeps *1/*1 on top — which is what legacy GeT-RM reports.
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* `simurg pgx coverage` (PGX-009/035) on GSA v4 PGx with the mask: 438 alleles callable, 68 array-equivalent to
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another allele, 88 not covered, 4 masked. Against the reference's known limitations: CYP4F2 *2 not covered (reported
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as *1) and *4 ≡ *3 — as the reference; UGT1A1 *28 callable (its C>CAT probe matches 1000G) and *37 masked (the
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C>CATAT probe fails); CYP2D6 *40/*58 and NUDT15 *6/*9 are separable here (CPIC core definitions differ from the
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reference's).
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* Detail outputs (PGX-016 … PGX-020, PGX-027/028, PGX-031): `supporting_variants.tsv`, `unresolved_variants.tsv`,
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`variants_not_covered.tsv`, per-allele supporting/unresolved sites for **both** alleles of every candidate,
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`variant_change` vs the top solution (`distant_alternative` above 3 changes), `unexplained_variants`, full HGVS on
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GRCh38 RefSeq accessions.
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* All CPIC gene kinds are called: star alleles, G6PD (named haplotypes; males hemizygous from the VCF ploidy),
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variant-based genes (ABCG2, CACNA1S, CFTR, DPYD, IFNL3, MT-RNR1, RYR1, VKORC1; genotype as `rs… REF/ALT` or
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`Reference`, phenotype diplotype from the two lowest-activity carried variants), HLA-A/B tag variants (PGX-007,
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positions resolved from the manifest's probes, flag `tag_caveat`), and GSTM1/GSTT1/UGT2B17 `*0` genotypes from
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the targeted CN (PGX-006).
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* PharmVar genes without CPIC definitions (CYP1A2, CYP2A6, CYP2A13, CYP2C8, CYP3A4; PharmVar 6.2.29): core alleles
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from the GRCh38 haplotype VCFs, `*1` = reference, prior reference 0.8 (no population frequencies); genotype only
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(no CPIC phenotype). The probe mask was re-derived with these variants (one more record: CYP2A6 19:40843845 C>A,
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concordance 0.47, which had produced false *5 calls).
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* ClinPGx clinical-annotation variants (CC BY-SA 4.0; levels 1A–2B, and level 3 for the PGX-008 parity genes) add
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genotype-only variant-based genes — OPRM1, COMT, DRD2, ANKK1, MTHFR, F5, … (43 genes, 171 of 187 rsIDs resolved on
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GSA v4 PGx from the manifest's probes). The DB now holds 70 genes (16 star-allele, G6PD, 2 HLA tag, 51
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variant-based; spec parity list: 58). `pgx coverage`: 1225 alleles callable, 93 array-equivalent, 437 not
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covered, 5 masked.
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* `--guideline dpwg` (PGX-025): ClinPGx curates DPWG guidelines with the CPIC allele-function and phenotype mappings
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for genes CPIC covers, so those genes reuse the CPIC tables (flag `dpwg_via_cpic_mapping`); DPWG-only genes
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(CYP1A2, CYP3A4, F5) have no public machine-readable mapping and get phenotype `null` with the flag
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`dpwg_mapping_not_available` (K-029).
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