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chrom
string
start
uint32
end
uint32
allele_string
string
cadd_raw
string
cadd_phred
string
tier
int8
1
10,109
10,109
A/T
0.778171
8.085
0
1
10,111
10,111
C/A
0.642692
6.857
0
1
10,146
10,146
-/GCCCT
0.493904
5.400
0
1
10,146
10,146
A/C
0.868292
8.945
0
1
10,146
10,146
AC/-
0.455602
4.997
0
1
10,147
10,147
CCCCT/-
0.442832
4.860
0
1
10,148
10,148
C/G
0.738469
7.728
0
1
10,150
10,150
CT/-
0.456958
5.012
0
1
10,151
10,151
T/-
0.460173
5.046
0
1
10,176
10,176
AAC/-
0.469734
5.148
0
1
10,176
10,176
AACC/-
0.468234
5.132
0
1
10,176
10,176
AACCTAACCCTAACCCTAACCC/-
0.413683
4.542
0
1
10,178
10,178
CCT/-
0.469596
5.146
0
1
10,179
10,179
C/G
0.753245
7.861
0
1
10,179
10,179
CT/-
0.474269
5.195
0
1
10,180
10,180
TAA/-
0.468899
5.139
0
1
10,230
10,230
AC/-
0.433994
4.764
0
1
10,233
10,233
C/A
0.693680
7.325
0
1
10,247
10,247
T/-
0.498389
5.447
0
1
10,254
10,254
T/-
0.492061
5.381
0
1
10,254
10,254
TA/-
0.489476
5.354
0
1
10,286
10,286
A/C
0.902650
9.284
0
1
10,291
10,291
-/TAA
0.550363
5.972
0
1
10,326
10,326
C/A
0.731475
7.666
0
1
10,327
10,327
TAA/-
0.471369
5.165
0
1
10,328
10,328
AACCCC/-
0.454124
4.982
0
1
10,328
10,328
AACCCCTAACCCTAACCCTAACCCTACCCTAACCCTAACCC/-
0.358798
3.928
0
1
10,329
10,329
AC/-
0.471120
5.162
0
1
10,330
10,330
C/A
0.769882
8.010
0
1
10,333
10,333
C/T
0.781089
8.111
0
1
10,334
10,334
T/-
0.470731
5.158
0
1
10,334
10,334
TAACCCT/-
0.452962
4.969
0
1
10,337
10,337
C/A
0.704014
7.419
0
1
10,351
10,351
C/T
0.840852
8.676
0
1
10,353
10,353
ACCC/-
0.494259
5.404
0
1
10,354
10,354
CCCT/-
0.495707
5.419
0
1
10,439
10,439
A/C
-0.089801
0.755
0
1
10,439
10,439
AC/-
0.373046
4.088
0
1
10,440
10,440
CCCCT/-
0.358733
3.927
0
1
10,441
10,441
CCCT/-
0.360989
3.952
0
1
10,441
10,441
CCCTA/-
0.355767
3.893
0
1
10,442
10,442
CCT/-
0.378833
4.153
0
1
10,442
10,442
CCTA/-
0.399187
4.381
0
1
10,443
10,443
CT/-
0.381046
4.178
0
1
10,444
10,444
T/-
0.023787
1.174
0
1
10,469
10,469
CGCGG/-
0.378935
4.154
0
1
10,470
10,470
GCGG/-
0.383223
4.202
0
1
10,470
10,470
GCGGT/-
0.375898
4.120
0
1
10,472
10,472
G/T
0.280831
3.067
0
1
10,472
10,472
GG/-
0.418983
4.600
0
1
10,473
10,473
G/A
0.706504
7.441
0
1
10,492
10,492
C/T
0.760366
7.924
0
1
10,612
10,612
A/C
0.689296
7.285
0
1
10,618
10,618
G/A
0.845743
8.724
0
1
10,622
10,622
TT/-
0.278376
3.041
0
1
10,815
10,815
T/C
0.840810
8.676
0
1
10,816
10,816
C/A
0.667061
7.083
0
1
10,817
10,817
GGGGTGGAGG/-
0.357308
3.911
0
1
10,903
10,903
C/A
0.580741
6.270
0
1
10,926
10,926
C/A
0.568747
6.153
0
1
10,928
10,928
C/A
0.209157
2.369
0
1
10,990
10,990
C/G
0.564077
6.107
0
1
11,009
11,009
G/T
0.616829
6.615
0
1
11,011
11,011
G/A
0.678524
7.187
0
1
11,012
11,012
C/G
0.653268
6.956
0
1
11,013
11,013
G/A
0.803783
8.321
0
1
11,023
11,023
G/A
0.671734
7.125
0
1
12,198
12,198
G/C
1.023634
10.60
0
1
12,332
12,332
G/A
-0.418991
0.206
0
1
12,521
12,521
C/T
-0.002567
1.061
0
1
12,522
12,522
G/A
-0.269625
0.369
0
1
12,672
12,672
C/T
1.755094
15.57
0
1
12,673
12,673
G/A
1.820914
15.90
0
1
12,719
12,719
G/C
0.637478
6.809
0
1
12,720
12,720
A/G
0.796136
8.250
0
1
12,755
12,755
G/A
0.589428
6.354
0
1
12,782
12,782
C/T
-0.555853
0.123
0
1
12,808
12,808
G/A
0.875223
9.014
0
1
13,110
13,110
G/A
0.653205
6.955
0
1
13,111
13,111
G/A
0.805297
8.335
0
1
13,118
13,118
A/G
0.297198
3.242
0
1
13,272
13,272
A/G
1.202760
12.22
0
1
13,274
13,274
T/A
1.187313
12.10
0
1
13,289
13,289
C/T
0.582343
6.285
0
1
13,290
13,290
C/T
0.877991
9.041
0
1
13,290
13,290
CT/-
0.579367
6.256
0
1
13,291
13,291
T/-
-0.815429
0.047
0
1
13,419
13,419
A/G
0.475596
5.209
0
1
13,613
13,613
T/A
0.495620
5.418
0
1
13,667
13,667
C/T
0.915577
9.412
0
1
13,668
13,668
G/A
0.918068
9.437
0
1
13,669
13,669
A/G
0.535483
5.824
0
1
13,683
13,683
C/T
0.638869
6.822
0
1
13,684
13,684
C/T
0.310147
3.383
0
1
13,685
13,685
T/C
-0.138820
0.621
0
1
13,751
13,751
G/A
-0.384551
0.235
0
1
13,752
13,752
T/C
-0.267408
0.372
0
1
13,756
13,756
C/T
0.204333
2.327
0
1
13,758
13,758
A/C
-0.239506
0.416
0
1
13,812
13,812
C/T
0.236161
2.617
0
End of preview. Expand in Data Studio

vepyr plugin cache — CADD v1.7 (GRCh38, VEP 116)

A prebuilt, frequency-tiered Parquet cache of CADD deleteriousness scores for use with vepyr, the Rust/DataFusion VEP-compatible variant annotation engine. It reproduces the CSQ output of Ensembl VEP 116's --plugin CADD without requiring the upstream whole-genome TSVs or the Perl plugin at annotation time.

⚠️ Non-commercial use only. See Licence below.

Source version

This is the fact you most likely came here for.

Upstream release CADD v1.7, GRCh38
Source URL https://krishna.gs.washington.edu/download/CADD/v1.7/GRCh38/
SNV source file whole_genome_SNVs.tsv.gz (all possible SNVs)
Indel source file gnomad.genomes.r4.0.indel.tsv.gz (gnomAD genomes r4.0 indels)
SNV source MD5 88577a55f1cd519d44e0f415ba248eb9 (upstream MD5SUMs)
Indel source MD5 4b9c685c96d396af4d001c2f7dd9d8f9 (upstream MD5SUMs)
Source retrieved 2026-07-06
Genome build GRCh38, 1-based, bare (non-chr-prefixed) contigs in source
Cache built 2026-09-05
Target VEP version Ensembl VEP 116 (VEP_plugins release/116 CADD.pm)
Build manifest plugins/cadd/cadd.source.toml
vepyr-plugins tag v0.1.1 — recorded in manifest.json as cache_source_version: v0.1.1@3e1c039
Source verification both source files (SNV and indel parts) and their .tbi indexes were MD5-verified against the manifest before the build (verified_md5 in manifest.json)

Both source files are combined into one cache, exactly as CADD.pm takes snv=…,indels=… and queries the two together.

Indel coverage is limited to gnomAD genomes r4.0 calls — unlike SNVs, which are precomputed exhaustively. A novel indel absent from gnomAD r4.0 has no precomputed score here; scoring it requires the CADD web service or a local CADD install. That is absence of data, not a benign call.

Provenance

Rebuilt on 2026-09-05 from the complete source files (the 87 GB whole-genome SNV table and the gnomAD indel table, not per-contig slices), verified against the v0.1.1 manifest, with chrX and chrY added. The sources block in manifest.json records url, declared and verified MD5, size and index digest for each input. Shard bytes are reproducible: the tier stage orders rows totally by the probe key (tier, start, allele_string), so a second build from the same verified sources yields identical MD5s. The manifest records assume_unique: true: the source claims one row per allele, so the build skipped the exhaustive dedup and sampled that claim instead.

Contents

chr1.parquet … chr22.parquet, chrX.parquet, chrY.parquet    24 per-contig shards
manifest.json                   schema, CSQ field mapping, per-shard row/tier counts, source provenance

Covers chr1–chr22, chrX and chrY. The sources have no mitochondrial records, so chrMT is listed in manifest.json with rows: 0 and has no shard file; an MT variant gets empty CADD fields. Total ≈ 76 GB, 8,918,413,601 rows (25,038,237 warm / 8,893,375,364 cold). Largest shard chr2.parquet ≈ 6.2 GB.

Schema

column type CSQ field
chrom string — (contig)
start uint32 — (1-based position)
end uint32
allele_string string — (REF/ALT, VEP-minimised)
cadd_raw string CADD_RAW — raw CADD score
cadd_phred string CADD_PHRED — PHRED-like scaled score
tier int8 — (frequency tier: 0 = warm, 1 = cold)

Scores are kept as strings to preserve upstream decimal formatting byte-for-byte, which is what VEP 116 CSQ parity requires; cast on read if you want numerics.

CADD_PHRED is the scaled rank: 10 = top 10% most deleterious of all possible SNVs, 20 = top 1%, 30 = top 0.1%. CADD_RAW is the unscaled model output and is only comparable within a single CADD release — do not compare raw scores across CADD versions.

Matching semantics

CADD is a per-variant annotation: CADD.pm matches on position and allele only, with no transcript or amino-acid discriminator, so the same score applies to every transcript line of a variant. The lookup key is (chrom, start, end, allele_string).

Alleles are stored minimised (allele_match = "minimised"), matching CADD.pm, which calls get_matched_variant_alleles() before comparing rows. Indel rows in the source carry a shared leading anchor base in VCF convention (e.g. AG>A); the build applies the same anchor-trim and start + 1 shift that vepyr's runtime allele normalisation produces, so indel rows land on the key the engine actually probes. SNV rows pass through unshifted.

Frequency tiering

Each shard is sorted by (tier, start, allele_string). A row's tier is inherited row-for-row from the release-116 GRCh38 variation cache this plugin cache was built against: a plugin row takes the tier of its matching variation row, and a plugin row with no match there is cold. tier = 0 is warm — 25,038,237 rows, 0.28% of the cache; tier = 1 is cold. Because warm rows are physically contiguous at the front of the file, a warm-only probe touches a handful of row groups instead of scanning a 700 M-row shard. Per-shard warm/cold counts are in manifest.json.

Usage

At ~69 GB this is the largest of the vepyr plugin caches — pull single chromosomes unless you need the whole genome.

# a single chromosome
hf download biodatageeks/vepyr_116_GRCh38_plugin_cadd \
  chr21.parquet manifest.json --repo-type dataset --local-dir ~/vepyr_plugin_cache/plugin/cadd

# the whole cache (~76 GB)
hf download biodatageeks/vepyr_116_GRCh38_plugin_cadd \
  --repo-type dataset --local-dir ~/vepyr_plugin_cache/plugin/cadd

The files are plain Parquet — usable directly from DuckDB, Polars or DataFusion independently of vepyr:

SELECT start, allele_string, cadd_raw, cadd_phred
FROM 'chr21.parquet'
WHERE start BETWEEN 33000000 AND 33100000
  AND CAST(cadd_phred AS DOUBLE) >= 20;

Licence and intended use

CADD is free for non-commercial use only. Commercial use requires a licence — see the CADD download terms and contact the University of Washington / Hudson-Alpha licensing contacts listed there. This cache is a format conversion of CADD v1.7 scores and is redistributed under those same terms; the scores are unmodified. By downloading it you accept CADD's upstream conditions.

The indel component additionally derives from gnomAD genomes r4.0, which is released under CC0.

CADD is a research tool. A high PHRED score means a variant ranks as more likely deleterious than most possible substitutions — it is not a pathogenicity assertion and not a clinical result.

Citation

Schubach, M., Maass, T., Nazaretyan, L., Röner, S. & Kircher, M. CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions. Nucleic Acids Research 52, D1143–D1154 (2024). doi:10.1093/nar/gkad989

Rentzsch, P., Witten, D., Cooper, G. M., Shendure, J. & Kircher, M. CADD: predicting the deleteriousness of variants throughout the human genome. Nucleic Acids Research 47, D886–D894 (2019). doi:10.1093/nar/gky1016

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