diff --git a/MANIFEST.md5 b/MANIFEST.md5
index 0d3e8b57d99126d776d8397c8902f6072fb5ff2e..0a47031112f57bba5adce390c5773b76390d89af 100644
--- a/MANIFEST.md5
+++ b/MANIFEST.md5
@@ -1,237 +1,3 @@
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-0f98694bf00ebc9c96985e32c70327a0  UKB-AFR/trans/AFR/CCL25:O15444:OID20674:v1:Inflammation/loc1.RData
-01bd973529eaba1f27e5ac35b7c0ebb9  UKB-AFR/trans/AFR/CCL2:P13500:OID21004:v1:Neurology/loc1.RData
-a0c3e52c2265fa7167e08da75bdf085a  UKB-AFR/trans/AFR/CCL7:P80098:OID20523:v1:Inflammation/loc1.RData
-58526dc69fac8d11a3566b96777dbd3e  UKB-AFR/trans/AFR/CD163:Q86VB7:OID20360:v1:Cardiometabolic/loc1.RData
-e9ff73ff0c8a22f83477cebf4ba87d66  UKB-AFR/trans/AFR/CD209:Q9NNX6:OID20262:v1:Cardiometabolic/loc1.RData
-530f8b28fba74a9561237888240c1c4a  UKB-AFR/trans/AFR/CD300A:Q9UGN4:OID30576:v1:Inflammation_II/loc1.RData
-7a680afbe1341099cf07137ac4d4403d  UKB-AFR/trans/AFR/CD70:P32970:OID20599:v1:Inflammation/loc1.RData
-a36ab2f77d0e6d31152797818dc6b424  UKB-AFR/trans/AFR/CD86:P42081:OID31500:v1:Oncology_II/loc1.RData
-5974429e2c2ec2396dcb40ac5caa457a  UKB-AFR/trans/AFR/CDH17:Q12864:OID20134:v1:Cardiometabolic/loc1.RData
-72c11f142a4d4a2a4de26abf81cb8df8  UKB-AFR/trans/AFR/CDH17:Q12864:OID20134:v1:Cardiometabolic/loc2.RData
-090d2092c7f33a7003a4a38bfac25d00  UKB-AFR/trans/AFR/CDH1:P12830:OID20353:v1:Cardiometabolic/loc1.RData
-f1b412c73050ed3eb1e4ed1ebc29641b  UKB-AFR/trans/AFR/CDH1:P12830:OID20353:v1:Cardiometabolic/loc2.RData
-88227f4413313e09b69d425efb0b0633  UKB-AFR/trans/AFR/CDH5:P33151:OID20243:v1:Cardiometabolic/loc1.RData
-a05f3893a48f691d3ce9493dbd18522c  UKB-AFR/trans/AFR/CEACAM5:P06731:OID21171:v1:Oncology/loc1.RData
-937fef4033ac74ed3ecbb1848d545eb2  UKB-AFR/trans/AFR/CLEC1A:Q8NC01:OID20099:v1:Cardiometabolic/loc1.RData
-9e2e26b96114bc9ec182493c675c0264  UKB-AFR/trans/AFR/CLEC4M:Q9H2X3:OID30405:v1:Cardiometabolic_II/loc1.RData
-505401318a6d4ca9ab4f92d05279b12f  UKB-AFR/trans/AFR/CRISP3:P54108:OID30715:v1:Inflammation_II/loc1.RData
-1155d53d1127c54889a7688fa5ca7eac  UKB-AFR/trans/AFR/CRTAC1:Q9NQ79:OID20279:v1:Cardiometabolic/loc1.RData
-a799f9b73aa70b3bcde7dffbc27d091b  UKB-AFR/trans/AFR/CTRC:Q99895:OID20752:v1:Inflammation/loc1.RData
-9b2aff1b12fd1385bd6a261d5444a43d  UKB-AFR/trans/AFR/CUZD1:Q86UP6:OID30914:v1:Neurology_II/loc1.RData
-e2d71f42691d0fb9965fd97bdaf81f98  UKB-AFR/trans/AFR/CXCL16:Q9H2A7:OID20282:v1:Cardiometabolic/loc1.RData
-0bbcbc48676769cbf9ba7b7ed3e2979a  UKB-AFR/trans/AFR/DPEP2:Q9H4A9:OID21305:v1:Oncology/loc1.RData
-c50c313e9879ea8474cce21a880865ac  UKB-AFR/trans/AFR/DSG2:Q14126:OID21113:v1:Neurology/loc1.RData
-fdb34179440635b62dc457ee785bd211  UKB-AFR/trans/AFR/DYNLT1:P63172:OID30925:v1:Neurology_II/loc1.RData
-34c87734b251d0f5ca2d240c09eb0c6d  UKB-AFR/trans/AFR/ELOB:Q15370:OID30127:v1:Cardiometabolic_II/loc1.RData
-29d71695fb6bcf22100d3e37919e2947  UKB-AFR/trans/AFR/ENG:P17813:OID20287:v1:Cardiometabolic/loc1.RData
-5aa903668e9b51dbcc7bac4b849ef8cc  UKB-AFR/trans/AFR/EPHA4:P54764:OID30622:v1:Inflammation_II/loc1.RData
-67fa4da3ffef8c186bce11e596ed81f7  UKB-AFR/trans/AFR/F11:P03951:OID30773:v1:Inflammation_II/loc1.RData
-a6fc83ceb135084eed45ea7b4860d69b  UKB-AFR/trans/AFR/FAM171B:Q6P995:OID31338:v1:Oncology_II/loc1.RData
-4737372339caa797d9f24b4b76aeff23  UKB-AFR/trans/AFR/FAM171B:Q6P995:OID31338:v1:Oncology_II/loc2.RData
-f70d471579a601c36dcb5261f8e023be  UKB-AFR/trans/AFR/FAM3D:Q96BQ1:OID31514:v1:Oncology_II/loc1.RData
-f52f5e76f4a4b923a856f4f4ba7302c6  UKB-AFR/trans/AFR/FAM3D:Q96BQ1:OID31514:v1:Oncology_II/loc2.RData
-fdb536c588e1d8c47c14e5ad1635c1db  UKB-AFR/trans/AFR/FASLG:P48023:OID20665:v1:Inflammation/loc1.RData
-c25c120a29b20ebf1695e07c1afdc275  UKB-AFR/trans/AFR/FLT1:P17948:OID21301:v1:Oncology/loc1.RData
-74a30d14a0864dba36d1365c8f3aef59  UKB-AFR/trans/AFR/FUCA1:P04066:OID20261:v1:Cardiometabolic/loc1.RData
-0ab4c70734014945dccb7edbfbef59c2  UKB-AFR/trans/AFR/GALNT2:Q10471:OID21423:v1:Oncology/loc1.RData
-97bf2a99bd08edf0f5bc007c60762294  UKB-AFR/trans/AFR/GFRAL:Q6UXV0:OID31091:v1:Neurology_II/loc1.RData
-e3673bcf691469bb732da03f2c5bcf35  UKB-AFR/trans/AFR/GP2:P55259:OID20090:v1:Cardiometabolic/loc1.RData
-da0a739a3259e42c982401be8912c4af  UKB-AFR/trans/AFR/GRN:P28799:OID21159:v1:Neurology/loc1.RData
-b8a01b555fe4fa516ab41808b1c0c996  UKB-AFR/trans/AFR/HBQ1:P09105:OID21433:v1:Oncology/loc1.RData
-8b16fb20283807480cf182fe8ac09743  UKB-AFR/trans/AFR/HEG1:Q9ULI3:OID30579:v1:Inflammation_II/loc1.RData
-fa06adbcf18a497b572d6356c3e979b4  UKB-AFR/trans/AFR/HEPACAM2:A8MVW5:OID31151:v1:Neurology_II/loc1.RData
-0f374d6aa007cc821fc72a38d3fb0c63  UKB-AFR/trans/AFR/HEPACAM2:A8MVW5:OID31151:v1:Neurology_II/loc2.RData
-4c88fc2a2e2250033cdf396ebcea9d31  UKB-AFR/trans/AFR/HLA-A:P04439:OID31048:v1:Neurology_II/loc1.RData
-95aec850d42d763f6b1c1dae35cd09a1  UKB-AFR/trans/AFR/ICAM2:P13598:OID20248:v1:Cardiometabolic/loc1.RData
-7203fcbe99e933a465da48f84c94f163  UKB-AFR/trans/AFR/ICAM5:Q9UMF0:OID20145:v1:Cardiometabolic/loc1.RData
-234e8a2ba57e8e7770b5d636f2235728  UKB-AFR/trans/AFR/IGFBP3:P17936:OID20398:v1:Cardiometabolic/loc1.RData
-de848d862d5922c92820c0cf3aa51979  UKB-AFR/trans/AFR/IL19:Q9UHD0:OID20158:v1:Cardiometabolic/loc1.RData
-c0a58629ffd05decb3537f704db130ee  UKB-AFR/trans/AFR/IL7R:P16871:OID21136:v1:Neurology/loc1.RData
-40f660d8c0b28efb782c67a7269236e9  UKB-AFR/trans/AFR/ISLR2:Q6UXK2:OID20889:v1:Neurology/loc1.RData
-e0a11dd9c924591063c1f76edf5272c0  UKB-AFR/trans/AFR/KEL:P23276:OID20881:v1:Neurology/loc1.RData
-4d8fc58fa8a961498247f76123222ab2  UKB-AFR/trans/AFR/KLB:Q86Z14:OID20888:v1:Neurology/loc1.RData
-643229c8e8cc7384fddc499aab2cc9de  UKB-AFR/trans/AFR/KLK12:Q9UKR0:OID21201:v1:Oncology/loc1.RData
-bc8cf9f5719faf456692838d641a905b  UKB-AFR/trans/AFR/KLK1:P06870:OID21499:v1:Oncology/loc1.RData
-fd2c3249e7d12ce4a3304a5ee5998c6b  UKB-AFR/trans/AFR/LDLR:P01130:OID20240:v1:Cardiometabolic/loc1.RData
-81395a3a335760d17a25eb13d03a7a43  UKB-AFR/trans/AFR/LEG1:Q6P5S2:OID30608:v1:Inflammation_II/loc1.RData
-ed78c6929e42a2ccc1a3df2e9760bd3c  UKB-AFR/trans/AFR/LGALS4:P56470:OID20748:v1:Inflammation/loc1.RData
-f43e2648d30ff54f7452d661eb16ca4d  UKB-AFR/trans/AFR/LIFR:P42702:OID20606:v1:Inflammation/loc1.RData
-e1198a25b4842084502a9da313d381eb  UKB-AFR/trans/AFR/LPO:P22079:OID20963:v1:Neurology/loc1.RData
-995ddff86740d436cde0ae77861c6930  UKB-AFR/trans/AFR/LRFN2:Q9ULH4:OID30895:v1:Neurology_II/loc1.RData
-4762f0e8d9bb27bf2f33939d49bf61eb  UKB-AFR/trans/AFR/LRRC37A2:A6NM11:OID31440:v1:Oncology_II/loc1.RData
-9424a4ea9ceddab8e3f430d9288bde16  UKB-AFR/trans/AFR/MENT:Q9BUN1:OID30595:v1:Inflammation_II/loc1.RData
-0ed26cd2d2df25f3dac2216af8f44f88  UKB-AFR/trans/AFR/MEP1A:Q16819:OID31459:v1:Oncology_II/loc1.RData
-8dcc8654f769ad39aa854ae809102a10  UKB-AFR/trans/AFR/MME:P08473:OID21307:v1:Oncology/loc1.RData
-5cdd8f1cd98cb57c893436441bc8619b  UKB-AFR/trans/AFR/MSR1:P21757:OID21063:v1:Neurology/loc1.RData
-074d2bfaa8dde12c06fab2280b55ee54  UKB-AFR/trans/AFR/MST1:P26927:OID30713:v1:Inflammation_II/loc1.RData
-ef6c4867c48dd05ae74769969384b362  UKB-AFR/trans/AFR/MST1:P26927:OID30713:v1:Inflammation_II/loc2.RData
-13f7b3c2ccace89cd77a4c968b13b113  UKB-AFR/trans/AFR/MUC2:Q02817:OID30377:v1:Cardiometabolic_II/loc1.RData
-0748693e280103db4aa5124e03556aa0  UKB-AFR/trans/AFR/MUC2:Q02817:OID30377:v1:Cardiometabolic_II/loc2.RData
-dea99dad474b03d25a09d472e99074b1  UKB-AFR/trans/AFR/NOMO1:Q15155:OID21106:v1:Neurology/loc1.RData
-a293614c7e4829745a08343abbfef7d5  UKB-AFR/trans/AFR/NOTCH1:P46531:OID20311:v1:Cardiometabolic/loc1.RData
-4ed1dfd30b28ca9961f7fcb98ae9d97d  UKB-AFR/trans/AFR/NOTCH2:Q04721:OID30407:v1:Cardiometabolic_II/loc1.RData
-4e48652e6be51259b9afaf906a73cef4  UKB-AFR/trans/AFR/PCDH17:O14917:OID20132:v1:Cardiometabolic/loc1.RData
-98abeae9aec796a7b27278e0543eb1a7  UKB-AFR/trans/AFR/PEAR1:Q5VY43:OID20257:v1:Cardiometabolic/loc1.RData
-9967b0e38c77fb1c8af7654bbedf5af0  UKB-AFR/trans/AFR/PECAM1:P16284:OID21131:v1:Neurology/loc1.RData
-91bfd35d48762643fd6264d9e96c9acf  UKB-AFR/trans/AFR/PILRA:Q9UKJ1:OID21129:v1:Neurology/loc1.RData
-d818a91e4d41e6d3e6ffb8361a62916c  UKB-AFR/trans/AFR/PILRB:Q9UKJ0:OID20197:v1:Cardiometabolic/loc1.RData
-018d2a555e352c108aa2b7e733622d57  UKB-AFR/trans/AFR/PLAU:P00749:OID21124:v1:Neurology/loc1.RData
-6434ab84f5188d3446909086c4831c2d  UKB-AFR/trans/AFR/PODXL:O00592:OID21358:v1:Oncology/loc1.RData
-3966d267ea4b84549f0bd153af8b617a  UKB-AFR/trans/AFR/PROC:P04070:OID20402:v1:Cardiometabolic/loc1.RData
-ecfb0ecf9d0f3165745be24396d4ff02  UKB-AFR/trans/AFR/PRSS27:Q9BQR3:OID20212:v1:Cardiometabolic/loc1.RData
-b030814576553a29fa7b96d48e832028  UKB-AFR/trans/AFR/PRSS27:Q9BQR3:OID20212:v1:Cardiometabolic/loc2.RData
-95ee81c90d1e0f49d33004dad62645f4  UKB-AFR/trans/AFR/PTPRB:P23467:OID30324:v1:Cardiometabolic_II/loc1.RData
-4a25557017860f07a1ab4407e40d1a9a  UKB-AFR/trans/AFR/PTPRM:P28827:OID20598:v1:Inflammation/loc1.RData
-59f197dd8bd8cca35b0267efb0a1b05c  UKB-AFR/trans/AFR/PYDC1:Q8WXC3:OID30202:v1:Cardiometabolic_II/loc1.RData
-a24fe429e5250d954ef3a2acd29a523b  UKB-AFR/trans/AFR/ROBO4:Q8WZ75:OID30226:v1:Cardiometabolic_II/loc1.RData
-519fde13b5e7685e13a981f870efdc64  UKB-AFR/trans/AFR/SELE:P16581:OID20290:v1:Cardiometabolic/loc1.RData
-723fa4cc4664779a43e88a8806ce23eb  UKB-AFR/trans/AFR/SELE:P16581:OID20290:v1:Cardiometabolic/loc2.RData
-ab4415f45464d518c8d728a2d1503800  UKB-AFR/trans/AFR/SEMA3G:Q9NS98:OID30599:v1:Inflammation_II/loc1.RData
-474178556c4c461521c920f700b44fa4  UKB-AFR/trans/AFR/SERPIND1:P05546:OID30767:v1:Inflammation_II/loc1.RData
-60307f09cad3ad7b1726d09f5738a0c2  UKB-AFR/trans/AFR/SERPINI2:O75830:OID31504:v1:Oncology_II/loc1.RData
-62cca7718bcea8ece0feca9868b69334  UKB-AFR/trans/AFR/SERPINI2:O75830:OID31504:v1:Oncology_II/loc2.RData
-3e15736ccea4226327d24b42997de861  UKB-AFR/trans/AFR/SMPDL3A:Q92484:OID20676:v1:Inflammation/loc1.RData
-f92c86827e4ab540d53b58665636a30c  UKB-AFR/trans/AFR/SNAP25:P60880:OID30811:v1:Neurology_II/loc1.RData
-78de370319f8684edd7987d1246df8a1  UKB-AFR/trans/AFR/SPINT1:O43278:OID21109:v1:Neurology/loc1.RData
-4e81b784ae61a70f788453b0841db5f9  UKB-AFR/trans/AFR/SPINT1:O43278:OID21109:v1:Neurology/loc2.RData
-9a7e45e1d3a5ea0567df18d5a7c20d57  UKB-AFR/trans/AFR/STX3:Q13277:OID31090:v1:Neurology_II/loc1.RData
-7f0925079fc6b4f93bf9421125f82da4  UKB-AFR/trans/AFR/TCN2:P20062:OID20341:v1:Cardiometabolic/loc1.RData
-b1debbcfd29c78a1d4f26fdf36367e42  UKB-AFR/trans/AFR/TEK:Q02763:OID21496:v1:Oncology/loc1.RData
-db428e0154d0f02edaeaa1ebfe132f51  UKB-AFR/trans/AFR/TIE1:P35590:OID20303:v1:Cardiometabolic/loc1.RData
-19d282a5257bd96d08aa87699109b756  UKB-AFR/trans/AFR/TOP1:P11387:OID31449:v1:Oncology_II/loc1.RData
-85b7598f9f7a2ec09e385520854c7ed5  UKB-AFR/trans/AFR/TREM2:Q9NZC2:OID20731:v1:Inflammation/loc1.RData
-48696013d6d1d343d8272e8925c204e6  UKB-AFR/trans/AFR/VSTM2L:Q96N03:OID20067:v1:Cardiometabolic/loc1.RData
-8c48a4c9b42cc76f219b84ce803430c8  UKB-AFR/trans/AFR/VWF:P04275:OID20256:v1:Cardiometabolic/loc1.RData
 258248563d750ca5a3c67ef149655f0f  UKB-EUR/CisTrans/A1BG.RData
 53ab1b15d09e1669fb3beba2720ef8ad  UKB-EUR/CisTrans/AAMDC.RData
 4152f7963cc15f95112ba871e8cf9311  UKB-EUR/CisTrans/AARSD1.RData
diff --git a/README.md b/README.md
index 06523b76d9ed6ee49ba9198726e0bce21069301b..9f34e35ead923f8aa5a86dc948d940f7ba0dcbbc 100644
--- a/README.md
+++ b/README.md
@@ -12,26 +12,22 @@ tags:
 
 # PRISM-models
 
-Protein imputation models trained on UK Biobank Pharma Proteomics Project (UKB-PPP, Olink) data, for
-protein-wide association studies with GWAS summary statistics. Each model holds SNP weights, the
-per-SNP association table, and the reference LD matrix.
+Protein imputation models trained on UK Biobank Pharma Proteomics Project (UKB-PPP, Olink) data from
+European-ancestry participants, for protein-wide association studies with GWAS summary statistics.
+Each model holds SNP weights, the per-SNP association table, and the reference LD matrix.
 
 **Version 2026-10-09** (all trans loci retrained, see below).
 
-| path | ancestry | what one file is | count |
-|---|---|---|---|
-| `UKB-EUR/CisTrans/<protein>.RData` | European | one protein: its cis locus + all its trans loci, merged | 2,877 proteins (2,063 cis + trans, 739 cis only, 75 trans only; 12,197 trans loci) |
-| `UKB-AFR/trans/AFR/<CASE>/loc<N>.RData` | African | one trans locus, AFR-only model (6+0) | 117 loci in 104 proteins |
-| `UKB-AFR/trans/AFR+EUR/<CASE>/loc<N>.RData` | African | the same locus, AFR + EUR transfer model (6+6) | 117 |
+| path | what one file is | count |
+|---|---|---|
+| `UKB-EUR/CisTrans/<protein>.RData` | one protein: its cis locus + all its trans loci, merged | 2,877 proteins (2,063 cis + trans, 739 cis only, 75 trans only; 12,197 trans loci) |
 
-`<protein>` is the Olink assay symbol; `CASE` is the UKB-PPP id `Gene:UniProt:OID:v1:Panel`. Seven AFR
-loci are `trained = FALSE` placeholders: they share no SNP with any EUR trans locus, or their protein has
-no EUR trans model.
+`<protein>` is the Olink assay symbol.
 
 ## What changed in this version
 
-1. **Effect allele fixed; all 12,197 UKB-EUR trans loci retrained.** In our GWAS (PLINK 1.9 `--assoc` on
-   all 52,253 participants), BETA refers to the minor allele of the full sample. The `A1`/`A2` labels,
+1. **Effect allele fixed; all 12,197 trans loci retrained.** In our GWAS (PLINK 1.9 `--assoc` on all
+   52,253 participants), BETA refers to the minor allele of the full sample. The `A1`/`A2` labels,
    however, came from a frequency run restricted to each measurement batch, where PLINK re-picks the
    minor allele. For variants with MAF ≈ 0.48–0.5 the two disagree, so `A1` named the wrong allele in
    280,588 table rows (at least one such variant in 11,433 loci). Labels now come from the genotype
@@ -40,8 +36,6 @@ no EUR trans model.
    were never affected.
 2. **PPP1R12A trans locus 2 is now included.** A transient file-system error had silently skipped it.
 3. **GRCh38 positions added.** `ss` has a `POS.38` (GRCh38) column next to `BP` (GRCh37).
-4. **AFR trans models retrained** against the corrected EUR models, which act as the exterior members
-   of the 6+6 transfer model.
 
 Already in the previous release and kept here: trans loci are at most 3 Mb wide, cut to ± 1.5 Mb around
 the lead SNP (largest |Z|). Positions come from the repaired GRCh38 rsID map (1,726 rows of the UKB-PPP
@@ -49,24 +43,19 @@ release had lifted to another chromosome).
 
 ## How the models were built
 
-- **EUR trans loci.** We ran the pQTL GWAS ourselves on individual-level UKB-PPP data: 2,923 proteins,
+- **Trans loci.** We ran the pQTL GWAS ourselves on individual-level UKB-PPP data: 2,923 proteins,
   residualised phenotypes. Trans SNPs have P < 5e-8 / 2,923 and lie outside the gene ± 1 Mb; the MHC is
   removed. The SNPs are clumped against 1000 Genomes EUR and merged into loci on GRCh38. Each locus is
   trained as a SUMMIT ensemble (ElNet, LASSO, MCP, MNet, SCAD at six clumping levels
   r² ∈ {0.01, 0.05, 0.1, 0.2, 0.5, 0.9}, with PUMAS subsampling), combined into one omnibus weight. LD
   comes from 49,341 UK Biobank EUR individuals.
-- **EUR cis.** These are the BLISS UKB cis models for 2,802 proteins. Cis and trans loci are merged
+- **Cis loci.** These are the BLISS UKB cis models for 2,802 proteins. Cis and trans loci are merged
   block-diagonally; a SNP that appears in several loci is kept in the first one only (cis first).
-- **AFR trans loci.** The loci come from the UKB-PPP AFR summary statistics, clumped against
-  1000 Genomes AFR. Each locus gets six local elastic nets (one per clumping level), trained on about
-  1,100 AFR individuals with genotypes and phenotypes. These are stacked by NNLS, either alone (6+0) or
-  together with the six members of the EUR trans model matched by rsID (6+6). Over the 110 trained loci,
-  mean held-out R² is 0.077 for the 6+6 models and 0.079 for 6+0, so we ship both.
 
 ## File contents
 
-**`UKB-EUR/CisTrans`.** These files use a slim format: only the upper triangle of the LD matrix is
-stored. Load them with `load-model-slim.r`.
+The files use a slim format: only the upper triangle of the LD matrix is stored. Load them with
+`load-model-slim.r`.
 
 | object | content |
 |---|---|
@@ -80,25 +69,11 @@ the locus's PUMAS R² (the same for every SNP in a locus), so a protein's total
 In 14 files, tagged `uppertri-v1-sym`, the full LD matrix differed from its transpose by a few ULP. Their
 upper triangle is stored as is and mirrored on load.
 
-**`UKB-AFR/trans`.** These files store the full `matrix.LD`; load them with plain `load()`.
-
-| object | content |
-|---|---|
-| `weight` | member weights, S × 6 (AFR) or S × 12 (AFR+EUR) |
-| `CHECKED` | `alpha` (NNLS stacking weight), `robust`, `used`; omnibus weight = `weight %*% CHECKED$alpha` |
-| `ss` | `SNP ID CHR POS.38 BP A1 A2 MAF BETA SE P N CIS LOCI POP Z` |
-| `matrix.LD` | LD matrix, AFR reference |
-| `R2.PUMAS`, `cv.performance` | held-out R² |
-| other | `trained protein CASE POP LOCI CHR cis batch N.train eur.loci CLUMPING eur.overlay eur.loci.overlay` |
-
 ## Loading (R)
 
 ```r
 source("load-model-slim.r")
 m <- load_model_slim("UKB-EUR/CisTrans/A1BG.RData")   # m$weight, m$ss, m$matrix.LD (rebuilt)
-
-e <- new.env()
-load("UKB-AFR/trans/AFR+EUR/VWF:P04275:OID20256:v1:Cardiometabolic/loc1.RData", envir = e)
 ```
 
 `MANIFEST.md5` lists the md5 of every model file; check it with `md5sum -c MANIFEST.md5`.
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