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vo2max 2.0.0: 2026 evidence rebuild of the Generation I expert module (O. Borysova). Adds every independent genome-wide-significant lead of the largest 2021-2026 GWAS for the trait plus functional variants, with evidence tiers (S-D); errors in the original rows corrected with recorded reasons (provenance in logs/authoring.log); gnomAD v4.1 frequencies; closed. Built with just-dna-compiler main a05cd54.

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data/vo2max/README.md ADDED
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+ # VO2 Max — aerobic fitness and training response (version 2.0.0)
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+
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+ This module looks at spots in your DNA linked to **cardiorespiratory fitness** — how much oxygen your
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+ body can use during hard exercise (VO2max) — and, in the original rows, to how much VO2max improves with
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+ training. Every effect here is small. Fitness depends far more on training, age, sex and body
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+ composition than on any DNA spot, and nothing in this module is a diagnosis.
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+
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+ ## What is in it
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+
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+ | Group (`category`) | Rows | What it means |
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+ |---|---|---|
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+ | *VO2max GWAS lead (direct fitness test)* | 14 variants × 3 genotypes | Genome-wide significant (p < 5×10⁻⁸) in the UK Biobank fitness GWAS (N = 69,416 with a submaximal cycle-ergometer test) — Cai et al. 2023, *Nat Commun*, PMID 37400433, Supplementary Table 3 / Supplementary Data 1 |
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+ | *Heart-rate-informed fitness locus* | 123 variants × 3 genotypes | Genome-wide significant for **resting heart rate** in the same paper (UK Biobank, >450,000), kept in the 160-variant fitness instrument because their effect on measured fitness was directionally consistent (nominal p < 0.05 for fitness). Their fitness effects are weak individually and partly reflect resting heart rate |
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+ | *Candidate gene (tested, small or no effect)* | 2 variants × 3 genotypes | ACTN3 R577X (rs1815739, weight 0 — no endurance effect in 2025 meta-analysis) and PPARGC1A Gly482Ser (rs8192678) |
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+ | *(blank — original rows)* | 13 variants, 39 rows | Olga Borysova's expert-curated rows on **VO2max training response** (HERITAGE and related studies), kept unchanged |
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+
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+ Totals: 152 variants, 456 genotype rows, 161 study rows citing 12 papers.
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+
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+ ## How the rows were chosen (selection rule, 2026 rebuild)
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+
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+ * **Tier A (GWAS).** Anchor: Cai L, et al. *Causal associations between cardiorespiratory fitness and type 2
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+ diabetes.* Nat Commun 2023;14:3904 (PMID 37400433) — the largest genome-wide study of measured
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+ cardiorespiratory fitness available 2021–2026. Every variant of its 160-variant fitness instrument
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+ (Supplementary Data 1: 14 direct fitness-GWAS leads + 146 resting-heart-rate variants retained after
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+ radial filtering) was taken, with the effect allele, effect-allele frequency, β (ml O₂·min⁻¹·kg⁻¹
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+ fat-free mass per allele), s.e. and p transcribed from that table. 22 were dropped because they cannot be
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+ represented honestly (see below). rs7412 (APOE) is in the instrument and already in the legacy rows, so
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+ only a `studies.csv` row was added for it.
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+ * **Tier B (candidate/functional).** Only candidate variants with a 2019–2026 meta-analysis were added:
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+ ACTN3 rs1815739 (Chelly 2025, PMID 40845214; El Ouali 2024, PMID 38609671) and PPARGC1A rs8192678
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+ (Su 2025, PMID 41574190; Chen 2019, PMID 31938000). **Candidate-gene evidence for athletic performance is
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+ weak and inconsistent**: a 2026 systematic review of 204 studies (PMID 42931598) concluded that individual
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+ variants have modest, context-dependent effects and that the evidence does not support talent
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+ identification or training prescription. ACE I/D, EPAS1 and EPOR were considered and not added (below).
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+ * **Tier C (legacy).** Olga Borysova's 39 rows are unchanged.
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+
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+ Considered and not used as row sources: HUNT direct VO2peak GWAS (Klevjer 2022, PMID 35482759; N = 4,525,
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+ loci largely unreplicated), HUNT and FinnGen polygenic-score papers (PMIDs 41402372, 40672480 preprint,
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+ 42087449 — genome-wide scores, no per-variant lead table), Predict-HIIT training-response GWAS (PMID
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+ 33985508; no genome-wide-significant variant), small athlete GWAS (PMID 41345885) and a 228-person HIIT
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+ GWAS (PMID 37170954). No cardiorespiratory-fitness score is in the PGS Catalog as of this rebuild.
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+
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+ ### Dropped Tier A candidates (22 of 160)
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+
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+ * 8 indels published only as GRCh37 markers with no rsID (e.g. `6:122514171_CTTTT_C`) — nothing here lifts
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+ coordinates between builds.
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+ * 12 multi-allelic repeat or homopolymer indels whose biallelic I/D coding in the study cannot be mapped to a
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+ single VCF allele (including rs763773724, the HTT CAG repeat): rs753131216, rs781155278, rs373999074,
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+ rs72394060, rs781388561, rs564190295, rs763773724, rs138564056, rs375963061, rs35987999, rs796269914,
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+ rs5879832.
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+ * 2 strand-ambiguous (C/G) SNPs with effect-allele frequency between 0.42 and 0.58: rs7136054 (0.484),
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+ rs2054266 (0.501). The 16 other A/T or C/G SNPs were kept because the study's EAF is far from 0.5 and
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+ agrees with UK reference frequencies (TwinsUK/ALSPAC in dbSNP).
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+
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+ ## Weights (two scales — read before summing)
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+
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+ * **New GWAS rows:** weight = +β/SD × number of copies of the fitness-raising allele (0, 1 or 2), with
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+ SD = 6.9 ml O₂·min⁻¹·kg⁻¹ FFM (implied by the paper's "3% lower diabetes risk per unit = 19% per SD";
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+ sex-specific SDs 6.4 and 7.1). Zero copies = 0.0 (`neutral`). Range 0.010–0.180.
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+ * **Candidate rows:** ln(OR) of the published genotype odds ratio — PPARGC1A Gly/Gly (C/C) = +0.174
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+ (OR 1.19 for elite endurance-athlete status, Caucasians); ACTN3 = 0.0 for all genotypes.
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+ * **Legacy rows** (blank `curator`/`method`): Olga Borysova's ordinal scale {−1, −0.5, 0, 0.5, 1} for
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+ training response.
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+ * Positive = favourable (higher fitness). The scales are **not comparable**: a single legacy row outweighs
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+ the sum of all new GWAS rows at typical genotypes. Do not read a module "net weight" as a fitness score.
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+ The whole 160-variant score explained about 1% of fitness variance in the Fenland validation cohort.
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+
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+ ## Limits
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+
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+ * All Tier A effects come from people of European ancestry in the UK; transfer to other ancestries is
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+ unknown.
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+ * VO2max in UK Biobank was **estimated** from heart rate during a submaximal cycle test, not measured
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+ maximally; heart-rate genetics therefore enter both the trait and the instrument.
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+ * The 146 heart-rate variants were selected *for* consistency with fitness, so their fitness betas are
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+ optimistic (selection on the same data).
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+ * Fitness level (new rows) and training response (legacy rows) are different traits.
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+ * Effect alleles were taken from the paper. The GWAS Catalog record GCST90310239 lists rs67622553-G as
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+ fitness-raising, which contradicts the paper's own Supplementary Table 3 and Supplementary Data 1 (T
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+ raises fitness); the paper was followed. For SLC35F1 the instrument uses rs11153730 where Supplementary
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+ Table 3 names rs1572226.
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+ * No `provenance_quote` was authored for the new rows; their numbers come from a supplementary workbook,
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+ which the literature checker does not open.
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+
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+ ## Provenance
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+
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+ Original module: Olga Borysova (expert curation, v1.x). 2026 rebuild (v2.0.0): AI-assisted, recorded in
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+ `authorship:` as `ai, agent`; no human has reviewed the new rows yet. Rows added in 2026 carry
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+ `curator = ai-agent (2026 rebuild, just-module-creator)`.
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+
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+ ## Evidence tiers
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+
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+ Every variant carries an evidence tier in `flags` (`tier:S` … `tier:D`) and in `priority`
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+ (S = high, A = medium, B/C/D = low). The tier never changes `weight`. Most variants in this module are
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+ weak signals, so the top tier is **S**, kept for the few variants that matter on their own. New (2026) rows
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+ also start their conclusion with the tier's label.
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+
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+ | Tier | Meaning | Variants (of which legacy) |
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+ |---|---|---|
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+ | S | Strong evidence: an effect large enough to matter on its own (OR/HR ≥ 1.5 or ≤ 0.67, or ≥ 0.5 SD), robustly supported | 0 (0) |
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+ | A | Well established, small effect (research grade): genome-wide significant in the anchor GWAS and in ≥ 1 further publication, same direction | 3 (0) |
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+ | B | Single-study signal, small effect (research grade): genome-wide significant in the anchor GWAS only | 11 (0) |
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+ | C | Early evidence (research only): not genome-wide significant for this trait | 137 (13) |
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+ | D | Not supported: contradicted, or null in large GWAS / meta-analysis | 1 (0) |
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+
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+ No variant reaches S. Most rows are C, because the heart-rate-informed loci are only nominally associated with measured fitness and the training-response rows come from candidate-gene studies. Replication was read from the GWAS Catalog (REST v2, retrieved 2026-11-03; cohorts of different
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+ publications may overlap). `also_in:<module>` marks the 6 variants that also appear in another just-dna
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+ module. Summing weights across modules counts those twice. The rules are adapted from the Longevity Map v2
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+ requirements (`docs/longevitymap_v2/`).
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+
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+ ## Corrections to the original expert-curated rows
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+
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+ The 2026 audit of the Generation I content (Supplementary Table S14 of the Just-DNA-Lite paper) found no errors in this module's original rows that were still present in v1.1.0; the one Generation I error (a mistyped PMID) was already fixed when the module was converted to the current format.
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- "sha256": "sha256:af29bc97acd9647292ccadb37cc8f125b39a3cc424e34d540200b5bb09a17bec",
288
- "size": 3624
289
  },
290
  {
291
  "name": "studies.parquet",
292
- "sha256": "sha256:5d1e71c2fc2af2c0f6d16cc9c51e71ee405f6869ea138e46640b59882e1a43c9",
293
- "size": 7623
 
 
 
 
 
294
  },
295
  {
296
  "name": "literature.parquet",
297
- "sha256": "sha256:049055c1df4f084829013d3d15ceb13ae09cc75f78a3a695c2fec27de5e8b3d4",
298
- "size": 6557
299
  },
300
  {
301
  "name": "clin_sig_concordance.parquet",
@@ -309,33 +465,32 @@
309
  },
310
  {
311
  "name": "sources.parquet",
312
- "sha256": "sha256:32dae88bcbd2d90cbe172c1f482e471ba40e1475cade9f5be8034f4addaa7df6",
313
- "size": 5661
314
  }
315
  ]
316
  },
317
- "logs": [
318
- {
319
- "name": "v1_port.log",
320
- "sha256": "sha256:1896ebbd20f34bef6e6623d97e796ace641881fec45486807c4927b4d435da6b",
321
- "size": 1069
322
- }
323
- ],
324
  "derived": [
325
  {
326
  "name": "resolution.csv",
327
- "sha256": "sha256:9bc3a0b64839b7080ac104e05477cece2e96178282e0f6bb54d87bd68eb6a4ed",
328
- "size": 2042
329
  },
330
  {
331
  "name": "verification.json",
332
- "sha256": "sha256:e6951f77c2fe25a9c932ddac0a812bc0995365c25aaf6bd3fef824cf369a9e7b",
333
- "size": 4196
 
 
 
 
 
334
  },
335
  {
336
  "name": "literature.csv",
337
- "sha256": "sha256:8451c27e8ee2b00a1ebc628b6cf3e215464b04ae0bed442f53dbbd960821915d",
338
- "size": 1194
339
  },
340
  {
341
  "name": "clin_sig_concordance.csv",
@@ -349,8 +504,8 @@
349
  },
350
  {
351
  "name": "licensing.csv",
352
- "sha256": "sha256:ed1f4ebac79116cac412d4ea32234ef29a3478bde54cd6f0da408c62f15132d1",
353
- "size": 327
354
  }
355
  ],
356
  "provenance": null,
@@ -360,6 +515,10 @@
360
  "sha256": "sha256:4daacafff694acfbc4f2bd7a747603ae170ce5137365a8807ec46d72ec4ba30d",
361
  "size": 130208
362
  },
363
- "readme": null,
 
 
 
 
364
  "signature": null
365
  }
 
2
  "manifest_version": "1.0",
3
  "schema_version": "1.0",
4
  "identity": {
5
+ "namespace": null,
6
  "name": "vo2max",
7
+ "version": "2.0.0",
8
  "version_coerced_from": null,
9
+ "canonical_id": null
10
  },
11
  "display": {
12
  "title": "VO2 Max",
 
21
  "method": "expert-curated",
22
  "license": null,
23
  "authority_precedence": [],
24
+ "weighting": {
25
+ "scale": "Mixed, two scales. (1) Rows with method 'gwas-derived' or 'literature-curated' (added 2026, curator 'ai-agent (2026 rebuild, just-module-creator)'): GWAS rows use +beta_SD per copy of the fitness-raising allele x number of copies (het = beta/SD, hom = 2*beta/SD, zero copies = 0.0, neutral), where beta is the per-allele effect on estimated VO2max (ml O2/min/kg fat-free mass) from Cai et al. 2023 (PMID 37400433, Supplementary Data 1) and SD = 6.9 ml O2/min/kg FFM; range 0.010 to 0.180. Candidate-gene rows use ln(OR) of the published genotype odds ratio (PPARGC1A Gly/Gly = +0.174; ACTN3 = 0.0 for every genotype because the 2025 meta-analysis found no endurance effect). (2) Legacy rows (blank curator/method, i.e. defaults just-dna-seq / expert-curated, by Olga Borysova): curator-set ordinal scale in {-1.0, -0.5, 0, 0.5, 1.0} for VO2max training response; not on the beta scale.",
26
+ "method": "Tier A: every variant of the 160-variant cardiorespiratory-fitness instrument of Cai et al. 2023 (14 genome-wide-significant leads of the direct UK Biobank fitness GWAS, N=69,416, plus 146 resting-heart-rate GWAS variants retained by radial filtering), minus 22 that could not be represented (8 without rsID on GRCh37 only, 12 multi-allelic repeat indels, 2 strand-ambiguous SNPs with EAF 0.42-0.58). Effect alleles and betas transcribed from the paper's Supplementary Data 1; all betas positive (fitness-raising allele). Tier B: replicated candidate variants with a 2024-2026 meta-analysis. Tier C: legacy rows kept unchanged.",
27
+ "note": "Positive = favourable (higher fitness), negative = unfavourable. The two scales are NOT comparable: one legacy row (|weight| 0.5-1.0) outweighs the entire sum of the new GWAS rows at typical genotypes, so a module 'net weight' is dominated by the legacy training-response rows. Not comparable with other modules. Per-variant effects are very small; the 160-variant score explained about 1% of fitness variance in Fenland. Not a diagnosis."
28
+ },
29
+ "owner": null,
30
  "authors": [],
31
+ "authorship": [
32
+ {
33
+ "who": "Olga Borysova",
34
+ "role": "created",
35
+ "kind": [
36
+ "human",
37
+ "human_expert"
38
+ ],
39
+ "at": null
40
+ },
41
+ {
42
+ "who": "ai-agent (2026 rebuild, just-module-creator)",
43
+ "role": "edited",
44
+ "kind": [
45
+ "ai",
46
+ "agent"
47
+ ],
48
+ "at": "2026-11-03"
49
+ }
50
+ ],
51
  "created_at": null,
52
+ "published_at": null,
53
  "stats": {
54
+ "variant_count": 152,
55
+ "weights_rows": 456,
56
+ "study_count": 161,
57
+ "gene_count": 132,
58
  "genes": [
59
  "ACSL1",
60
+ "ACTN3",
61
+ "ACTN4",
62
+ "ADCK1",
63
+ "ADGRV1",
64
+ "AGAP5",
65
  "AMPD1",
66
  "APOE",
67
+ "ARHGAP10",
68
+ "ARHGAP26",
69
+ "ARHGEF40",
70
+ "ATXN1",
71
+ "B3GAT3",
72
+ "B3GNT7",
73
+ "BAHCC1",
74
+ "BCAR3",
75
  "BIRC7",
76
+ "C10orf71",
77
+ "CACNA1C",
78
+ "CACNA1D",
79
+ "CACNB2",
80
+ "CADM2",
81
+ "CALCRL",
82
  "CAMTA1",
83
+ "CASP7",
84
+ "CCDC141",
85
+ "CD40",
86
+ "CDH2",
87
+ "CHRM2",
88
+ "CLIC5",
89
+ "CLMP",
90
+ "CMYA5",
91
+ "CWF19L2",
92
+ "CXADR",
93
  "DAAM1",
94
+ "DGLUCY",
95
+ "DLC1",
96
+ "DNAH2",
97
+ "FARP1",
98
+ "FBXL17",
99
+ "FHOD3",
100
  "FLJ44450",
101
+ "FNDC3B",
102
+ "FRMD4B",
103
+ "GCKR",
104
+ "GJA1",
105
+ "GMDS",
106
+ "GNAS",
107
+ "GNB4",
108
+ "GPATCH2",
109
  "GSTP1",
110
+ "HEATR5A",
111
+ "INPP5A",
112
+ "IP6K1",
113
+ "JAZF1",
114
+ "KANSL1",
115
+ "KCNH2",
116
+ "KHNYN",
117
+ "KIAA1755",
118
+ "KLHL42",
119
+ "LINC00880",
120
+ "LINC01122",
121
+ "LINC01267",
122
+ "LMCD1",
123
+ "MAP3K1",
124
+ "MEF2C-AS2",
125
+ "MKLN1",
126
+ "MRPS30",
127
+ "MSH6",
128
+ "MXRA7",
129
+ "MYH11",
130
+ "MYH6",
131
  "NDN",
132
+ "NFAT5",
133
+ "NFATC1",
134
  "NLGN1",
135
+ "NPAS2",
136
+ "NR3C2",
137
+ "NUP205",
138
+ "PDE3A",
139
+ "PKHD1",
140
+ "PLEC",
141
+ "PMP22",
142
+ "POC5",
143
+ "PPARGC1A",
144
+ "RAB40C",
145
+ "RASSF3",
146
+ "RBM20",
147
+ "RBM33",
148
  "RGS18",
149
+ "RNF207",
150
+ "RNU6-976P",
151
+ "RPL23AP93",
152
+ "SCG3",
153
+ "SCN10A",
154
+ "SERTAD2",
155
+ "SLC35F1",
156
+ "SLC52A1",
157
+ "SMARCAD1",
158
+ "SNCAIP",
159
+ "SPAAR",
160
+ "SPC24",
161
+ "SPEG",
162
+ "SPON1",
163
+ "SREBF1",
164
+ "SRL",
165
+ "SSPN",
166
+ "STN1",
167
+ "SVIL",
168
+ "SYNM-AS1",
169
+ "TCF7L2",
170
+ "TCP1P3",
171
+ "TEKT5",
172
+ "TET1",
173
+ "THRB",
174
+ "TJP2",
175
+ "TMEM131L",
176
+ "TMEM161B",
177
+ "TNR",
178
+ "TP53I11",
179
+ "TRPM4",
180
+ "TVP23C",
181
+ "VAMP9P",
182
+ "VSNL1",
183
+ "WDHD1",
184
+ "XYLT1",
185
+ "ZFPM2",
186
+ "ZHX3",
187
+ "ZIC4",
188
+ "ZNF44",
189
+ "ZNF800",
190
+ "ZNRD2"
191
+ ],
192
+ "categories": [
193
+ "Candidate gene (tested, small or no effect)",
194
+ "Heart-rate-informed fitness locus",
195
+ "VO2max GWAS lead (direct fitness test)"
196
  ],
 
197
  "clinvar_count": 0,
198
  "pathogenic_count": 0,
199
  "benign_count": 0
200
  },
201
  "compilation": {
202
  "compile_success": true,
203
+ "compiled_by": null,
204
+ "compiler_version": "just-dna-compiler 0.7.2",
205
+ "ensembl_reference": null,
206
+ "compiled_at": "2026-11-04T09:00:35Z",
207
  "warnings": [
208
+ "VRS allele identity covers 234/241 allele(s) in resolution.csv (97%) — 7 carry no ga4gh:VA. id. Anything keying on the VA sees only the covered fraction.",
209
+ " 7 allele(s): an indel or MNV: justification needs the reference sequence, so only the enricher can mint it (re-run it online)"
210
+ ],
211
+ "carried": [
212
+ "VRS allele identity covers 234/241 allele(s) in resolution.csv (97%) — 7 carry no ga4gh:VA. id. Anything keying on the VA sees only the covered fraction.",
213
+ " 7 allele(s): an indel or MNV: justification needs the reference sequence, so only the enricher can mint it (re-run it online)"
214
  ],
 
215
  "warnings_summary": {
216
+ "vrs_coverage_incomplete": 2
217
  },
218
  "dropped_rows": {},
219
  "resolution_mode": "strict",
220
  "fully_resolved": true,
221
+ "resolution_subjects": 456,
222
  "expanded_keys": 0,
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  "expanded_rows": 0,
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+ "resolution_signature": "sha256:a188465396ba31e956a79989baba631d94346133cc6056a86dc789539aaac5ae",
225
  "resolution_sources": [
226
  "cache"
227
  ],
228
+ "vrs_alleles": 241,
229
+ "vrs_alleles_identified": 234,
230
  "positional_rows": 0,
231
  "positional_rows_placed": 0
232
  },
233
+ "frequency": {
234
+ "signature": "sha256:17c66b532760adc504ba99d6b2eeb946f2380c062440392143859ea0f1b4095a",
235
+ "sources": [
236
+ "gnomad"
237
+ ],
238
+ "datasets": [
239
+ "gnomad_v4.1_joint"
240
+ ],
241
+ "populations": [
242
+ "global",
243
+ "afr",
244
+ "ami",
245
+ "amr",
246
+ "asj",
247
+ "eas",
248
+ "fin",
249
+ "mid",
250
+ "nfe",
251
+ "remaining",
252
+ "sas"
253
+ ],
254
+ "row_count": 2071,
255
+ "variant_count": 241
256
+ },
257
  "gene_metrics": null,
258
  "gene_validity": null,
259
  "clinical_assertions": null,
260
  "gwas_effects": null,
261
  "expression_effects": null,
262
  "literature": {
263
+ "signature": "sha256:3d84e495bcac9473648d8fbd101890329d9bc52643e09501615b82b3f750bc60",
264
  "sources": [
265
  "pubmed"
266
  ],
267
+ "row_count": 12,
268
+ "resolved_count": 12,
269
  "missing_count": 0,
270
+ "open_access_count": 7,
271
  "abstract_only_count": 0,
272
  "quotes_authored": 0,
273
  "quotes_found": 0,
274
+ "quotes_unchecked": 12
275
  },
276
  "clin_sig_concordance": null,
277
  "sources": {
278
+ "signature": "sha256:9a8b8fd5943172acf8898b6828e361cc677fca41edd1371fa301624d18f76b7b",
279
  "sources": [
280
+ "ensembl",
281
+ "gnomad"
282
  ],
283
  "layers": [
284
+ "frequency",
285
  "resolution"
286
  ],
287
  "licenses": [
288
+ "Apache-2.0",
289
+ "CC0-1.0"
290
  ],
291
  "attributions": [
292
+ "Ensembl (https://www.ensembl.org)",
293
+ "gnomAD, Broad Institute (https://gnomad.broadinstitute.org)"
294
+ ],
295
+ "notices": [
296
+ "CC0 public-domain dedication for the primary exome/genome data; attribution requested but not required. Users agree not to attempt to reidentify participants. Some layered annotations carry their own terms (SpliceAI is CC BY-NC 4.0, academic/non-commercial)."
297
  ],
 
298
  "share_alike_layers": [],
299
  "noncommercial_layers": [],
300
  "unknown_terms_sources": [],
 
304
  ],
305
  "commercial_use": true,
306
  "redistribution": true,
307
+ "row_count": 2
308
  },
309
  "verification": {
310
+ "signature": "sha256:5ea902a260ab64a4c4f7af896d4a1bf8b5c930ae3af30981312dc6e579d34917",
311
+ "module_hash": "sha256:fddaad1e9d18c98297d2953775f5eb48af7eae1a0946198946bdc1d6768e07e9",
312
+ "producer": "just-dna-enricher 0.7.3",
313
+ "produced_at": "2026-11-04T09:00:25Z",
314
+ "closure": {
315
+ "closed_at": "2026-11-04T09:00:32Z",
316
+ "closed_by": "A. Kulaga (maintainer); AI agent (just-module-creator), 2026 rebuild",
317
+ "signature": null
318
+ },
319
  "checks": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
320
  {
321
  "check": "clinical_significance",
322
  "subjects": 0,
 
325
  "detail": null,
326
  "source": "clinvar",
327
  "release": "clinvar_2026-06-27",
328
+ "checked_at": "2026-11-04T09:00:25Z",
329
+ "producer": "just-dna-enricher 0.7.3"
330
  },
331
  {
332
  "check": "dataset_currency",
 
336
  "detail": "the module records no release, so it makes no claim about where its rows came from",
337
  "source": null,
338
  "release": null,
339
+ "checked_at": "2026-11-04T09:00:25Z",
340
+ "producer": "just-dna-enricher 0.7.3"
341
  },
342
  {
343
  "check": "evidence_status_currency",
 
347
  "detail": "this module records no citation drafted from CIViC's API, so there is no recorded curation status to re-ask about",
348
  "source": "civic",
349
  "release": null,
350
+ "checked_at": "2026-11-04T09:00:25Z",
351
+ "producer": "just-dna-enricher 0.7.3"
352
  },
353
  {
354
  "check": "genome_build_agreement",
 
358
  "detail": "the GRCh37 service is the only thing that can tell an old-assembly coordinate from a wrong ref, and there is no local GRCh37 data",
359
  "source": "ensembl-grch37",
360
  "release": null,
361
+ "checked_at": "2026-11-04T09:00:25Z",
362
+ "producer": "just-dna-enricher 0.7.3"
 
 
 
 
 
 
 
 
 
 
 
363
  },
364
  {
365
  "check": "published_refutation",
 
369
  "detail": "no authored direction sits beside a published refutation (basis accepted)",
370
  "source": "civic",
371
  "release": "civic_01-Sep-2026",
372
+ "checked_at": "2026-11-04T09:00:25Z",
373
+ "producer": "just-dna-enricher 0.7.3"
374
  },
375
  {
376
  "check": "reference_allele",
377
+ "subjects": 0,
378
  "findings": 0,
379
+ "skipped": "offline",
380
+ "detail": "no sequence access this run, so no authored ref was compared",
381
  "source": "seqrepo",
382
  "release": null,
383
+ "checked_at": "2026-11-04T09:00:25Z",
384
+ "producer": "just-dna-enricher 0.7.3"
385
  },
386
  {
387
  "check": "rsid_coordinate_agreement",
 
391
  "detail": "no row authors both an rsID and a coordinate, so the module makes no pair claim to compare — this is not a comparison that found nothing",
392
  "source": "ensembl",
393
  "release": null,
394
+ "checked_at": "2026-11-04T09:00:25Z",
395
+ "producer": "just-dna-enricher 0.7.3"
396
  },
397
  {
398
  "check": "rsid_currency",
399
+ "subjects": 0,
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  "findings": 0,
401
+ "skipped": "not_requested",
402
  "detail": null,
403
  "source": "dbsnp",
404
  "release": null,
405
+ "checked_at": "2026-11-04T09:00:25Z",
406
+ "producer": "just-dna-enricher 0.7.3"
407
  }
408
  ]
409
  },
410
  "inputs": [
411
  {
412
  "name": "module_spec.yaml",
413
+ "sha256": "sha256:4e6a85a7173e7accf42da78e3c3aad52c2e45db2bf2ace0398f94790460caa8e",
414
+ "size": 2677
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  },
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  {
417
  "name": "variants.csv",
418
+ "sha256": "sha256:d84b5671918ea0db9d54c970b52ac680fa4369905189123f768cdf8bd1ca5c9e",
419
+ "size": 528790
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  },
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  {
422
  "name": "studies.csv",
423
+ "sha256": "sha256:3c885418ecc7be3dd6c577e3d90842e3f8bf9e2137f631a3df5644cf14043a27",
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+ "size": 73242
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  }
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  ],
427
+ "content_signature": "sha256:06b57893202623c749cc4f37355dd091174a9f4415e1e89160e1bc1736ba89ad",
428
  "artifact": {
429
+ "digest": "sha256:777dba2bda769896d8850ba03aa83f9f9e18a3499120601fec0bca8dd6d4c75c",
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  "files": [
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  {
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  "name": "weights.parquet",
433
+ "sha256": "sha256:7520853c8d14c9e45bb72015f8a5b5baee9a7590ebf45dae7e8e4de7cad15989",
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  "name": "annotations.parquet",
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+ "sha256": "sha256:a029d4578937770dc3a4b827a313226bdf7263b85ad2d1efcceb0d676ee3524f",
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+ "name": "frequencies.parquet",
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  "name": "literature.parquet",
453
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454
+ "size": 6787
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  },
456
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457
  "name": "clin_sig_concordance.parquet",
 
465
  },
466
  {
467
  "name": "sources.parquet",
468
+ "sha256": "sha256:4f1d02c0e537d683b94f77ffbfd984077f013e6e7d193941317400a30276c5fd",
469
+ "size": 6544
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  }
471
  ]
472
  },
473
+ "logs": [],
 
 
 
 
 
 
474
  "derived": [
475
  {
476
  "name": "resolution.csv",
477
+ "sha256": "sha256:538d9becf0aeade3e30dcb2a4cb5b6de99ae1382ed4b42ec67214d6e32a3ce9a",
478
+ "size": 22385
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  },
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  {
481
  "name": "verification.json",
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