8 Commits
Author SHA1 Message Date
kemal cfae926fbc PGx validation on GSE165845: WGS-derived star truth, 2-fold masks, array-resolvable concordance
- scripts/pgx/wgs_star_truth.py: star alleles from the 1000G 30x phased panel with the DB definitions
  (wildcard-aware haplotype assignment; checked against GeT-RM on the demo CEPH individuals).
- validate_star_getrm.py: --all-genes, --individuals, --coverage (projection onto what the array can see);
  replicate_concordance.py.
- 120 individuals x 3 GSA v1 arrays: array-resolvable 1637/1710 (95.7 %), top 1223/1800 (chip lacks many
  defining variants), GeT-RM subset 28/35, replicates 99.2 % without the failed array (V2_pgx_star.md, K-029).
2026-09-29 19:00:34 +01:00
kemal ed5e92b859 PGx: ClinPGx variant-based genes (PGX-008) and --guideline dpwg (PGX-025)
- 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.
2026-09-29 17:01:36 +01:00
kemal 9a39ae62fe PGx: PharmVar genes (CYP1A2, CYP2A6, CYP2A13, CYP2C8, CYP3A4), CYP2A6 *4 from CN (PGX-001/006)
fetch_sources.sh downloads PharmVar per-gene zips; pgx db build adds core alleles for genes CPIC does not
define (normalised against the FASTA, *1 = reference). Masks re-derived with the new variants. GeT-RM:
CYP3A4 15/15, CYP2A6 7/9; all comparable genes 154/168 (CYP1A2/CYP2C8 definitions differ from GeT-RM's).
2026-09-29 16:50:27 +01:00
kemal b96ae21c70 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.
2026-09-29 16:29:54 +01:00
kemal 9a02f39d01 PGx: all CPIC gene kinds — G6PD, variant-based, HLA tags, *0 CN genes (PGX-006/007/021)
- DB build resolves the PGX-007 tag variants from the manifest's probes; coverage over all gene kinds.
- Variant-based genes reported per variant (rs.. REF/ALT | Reference) with the CPIC lowest-activity diplotype;
  tagging genes as positive/negative with the population caveat; GSTM1/GSTT1/UGT2B17 *0 from targeted CN.
- Case-insensitive phenotype keys (MT-RNR1). GeT-RM check extended to VKORC1 and the CN genes:
  131/144 gene calls (docs/validation/V2_pgx_star.md).
2026-09-29 16:24:33 +01:00
kemal e3f784859b PGx: full call detail (PGX-016..020, 027/028, 031), pgx coverage (PGX-009/035), full HGVS
- supporting_variants.tsv, unresolved_variants.tsv, variants_not_covered.tsv with PGX-026 metadata; per-allele
  supporting/unresolved sites for both alleles of every candidate; variant_change vs top, distant_alternative,
  unexplained_variants, alleles_impacted_by_no_call, alleles_tested.
- simurg pgx coverage: callable / not_covered / masked / equivalent_to per allele and manifest.
- HGVS on GRCh38 RefSeq accessions (NC_...:g.).
2026-09-29 16:16:39 +01:00
kemal f885593e32 PGx phenotypes: pgx phenotype|annotate (PGX-024..028, CLI-034)
CPIC lookups by allele function counts or activity values (duplications N x activity, *5/*0 = 0, total-score
fallback), Indeterminate when feasible solutions disagree or an allele is not in the guideline; per-sample
simurg.pgx/1 JSON and diplotype_annotations.tsv with PGX-026 metadata lines.
2026-09-29 16:03:27 +01:00
kemal feb1d993b5 PGx star alleles: pgx star-allele call (PGX-011..021), probe masks vs 1000G, GeT-RM validation (K-029)
- simurg/pgx/star.py: solver-free diplotype enumeration incl. CN forms (deletion, xN), wildcards, array-equivalence
  classes, raw_score/score with CPIC frequency priors; calibrated error model (spec PGX-012 amended).
- pipeline/pgx_star.py: DB gene models, SNV + PGx CN VCF evidence, masks, diplotype_summary.tsv + pgx_calls.json.
- scripts/pgx: derive_masks.py (array vs 1000G 30x over HTTPS, GS calibration), getrm_truth.py,
  validate_star_getrm.py.
- GSA v4 PGx demo vs GeT-RM (16 CEPH): 100/109 gene calls; CYP2D6/2C19/2C9 41/45 (docs/validation/V2_pgx_star.md).
2026-09-29 14:08:03 +01:00