# V2 — Targeted PGx copy number (PCN-001 … PCN-017) Status: **implemented, interim validation** (2026-09-29). `simurg pgx copy-number train|call` (CLI-031/032), model file `.simurg-pgxcn` (IN-050), region BED v1 built from UCSC ncbiRefSeq (`scripts/pgx/build_cn_regions.py`, packaged as `simurg/pgx/data/pgx_cn_regions.GRCh38.v1.bed`), per-sample `*.pgx_cn.vcf.gz` + `.tbi`, `pgx_cn_batch_summary.tsv`, `pgx_cn_sample_summary.tsv`. Unit tests: `tests/unit/test_pgx_cn.py`. ## Data * **Arrays:** the GSA v4 PGx demo (`idats_Demo_36`, 36 arrays), genotyped by SimurgArray. Its CNV probes cover every region (51–357 probes; GSTT1: 160 probes on `chr22_KI270879v1_alt` in the GRCh38 manifest). * **Identities:** the demo arrays are 30 CEPH / 1000 Genomes individuals (6 replicate arrays). Identified by genotype concordance with the 3202-sample 1000G 30x panel on 4647 chr22 SNPs: best match 0.992–0.996, next best ≤ 0.91 (relatives) — `scripts/pgx/demo36_identity.tsv`. * **Truth:** NYGC 30x SV callset (1KGP_3202 GATK-SV/svtools freeze V3), RD_CN per individual (`scripts/pgx/validate_cn_truth.py`). * The GSE165845 GSA-MD v1 arrays (360 arrays, CN/LOH validation) have 0–9 probes per PGx region: not usable here. ## Result (30 individuals, model trained on the same 36 arrays with `--min-samples 30`) | Region | Concordance with NYGC RD_CN | Mismatches (truth → call) | |---|---|---| | GSTM1 (whole gene) | **30/30** | – | | UGT2B17 (whole gene) | **30/30** | – | | SULT1A1 | 29/30 | 2→1 | | CYP2A6.exon.1 | 29/30 | 3→2 | | CYP2A6.intron.7 | 28/30 | 3→2, 1→2 | | CYP2D6.p5 | 28/30 | 4→3, 2→1 | | CYP2D6.intron.2 | 25/30 | 3→2 ×3, 4→3, 2→1 | | CYP2D6.exon.9 | 25/30 | 3→2 ×3, 4→2, 2→1 | | **all** | **224/240 (93.3 %)** | | GSTT1 (no SV truth on the alt contig): CN 0/1/2 = 5/16/9, in Hardy–Weinberg proportions (null allele 0.43; CEU literature ≈ 0.4–0.5). Details: `V2_pgx_cn_demo36.json`. * CYP2D6 truth is one gene-level record; the exon-9 / intron-2 "misses" at truth CN 3 are expected for tandem structures such as `*68+*4` or `*36+*10`, where not every sub-region is duplicated. Star-allele truth (GeT-RM) is the right yardstick and follows with the star-allele caller. * PCN-017 target (≥ 95 % per region) is met for GSTM1, UGT2B17, SULT1A1, CYP2A6.exon.1; not (yet) shown for the CYP2D6 sub-regions. ## Caveats (K-028) * Trained and evaluated on the same 30 individuals (the spec requires ≥ 96 training samples; the priors were chosen while looking at this truth). This is an optimistic, in-sample figure until an independent cohort is available. * Deviations from PCN-009: reference from the training cohort (not the calling batch); no GC-correction step; CN model = compressed-intensity template + HWE-constrained weights (`simurg/pgx/cn.py`).