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https://huggingface.co/datasets/just-dna-seq/ensembl_variations_split/resolve/main/README.md
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5.41 kB
metadata
license: other
pretty_name: Ensembl variation (split parquet)
tags:
- genomics
- variants
- GRCh38
configs:
- config_name: core
data_files: data/*.parquet
default: true
- config_name: consequence
data_files: groups/consequence/*.parquet
- config_name: clinical
data_files: groups/clinical/*.parquet
- config_name: predictors
data_files: groups/predictors/*.parquet
- config_name: cadd
data_files: groups/cadd/*.parquet
- config_name: frequency
data_files: groups/frequency/*.parquet
- config_name: frequency_populations
data_files: groups/frequency_populations/*.parquet
- config_name: transcripts
data_files: groups/transcripts/*.parquet
Ensembl variation, split parquet
dbSNP variants for GRCh38 with Ensembl VEP annotations, converted from the Ensembl variation VCF
(variation.vcf.gz, release directory 2026_07_13) into
parquet tables that DuckDB joins on demand. Release id: ensembl-variation-2026_07_13-vep116.0.
Built by prepare-annotations for just-dna-lite.
Layout
data/homo_sapiens-chr{N}.parquet: the core, one row per ALT allele:chrom, start, ref, alt, id, row_idx. Positions are 1-based VCF POS; REF and ALT are spelled as in the VCF. Same file names and column names as the earlierjust-dna-seq/ensembl_variationscache, which pipe-joined multi-allelic ALTs into one row; here each ALT has its own row.groups/{group}/homo_sapiens-chr{N}.parquet: sidecar columns keyed by(chrom, row_idx). Sidecars are sparse: an allele with no value in a group has no row there.manifest.json: release id, sources, and every file with its row count, size and SHA-256.
row_idx is valid only within one release. Never join files whose manifest.json release_id differs.
| Group | Default | Rows | Size | Content | Columns |
|---|---|---|---|---|---|
core |
yes | 1,391,478,689 | 14.54 GB | Alleles and rsIDs | chrom, start, ref, alt, id, row_idx |
consequence |
yes | 1,391,478,685 | 4.14 GB | Most severe transcript consequence per allele (by IMPACT, protein-coding first) | variant_class, consequence, impact, gene_symbol, gene_id, transcript_id, biotype, exon, intron, hgvsc, hgvsp, amino_acids, protein_position, sift, polyphen |
clinical |
yes | 269,631,208 | 0.93 GB | ClinVar significance, PubMed ids and phenotypes Ensembl attaches to the variant | clin_sig, somatic, pheno, pubmed, phenotypes, var_synonyms |
predictors |
yes | 486,820,688 | 1.63 GB | REVEL, SpliceAI, AlphaMissense, ClinPred and MaveDB (maximum over transcripts) | revel, spliceai_ds_ag, spliceai_ds_al, spliceai_ds_dg, spliceai_ds_dl, alphamissense_score, alphamissense_class, clinpred, mavedb_score, mavedb_urn |
cadd |
optional | 1,323,076,840 | 10.41 GB | CADD v1.7 scores | cadd_phred, cadd_raw |
frequency |
yes | 1,359,614,704 | 7.36 GB | Global allele frequencies: gnomAD v4.1 exomes and genomes, 1000 Genomes phase 3 | af_gnomad_exomes, af_gnomad_genomes, af_1kg, ancestral_allele |
frequency_populations |
optional | 755,450,474 | 8.16 GB | Per-population allele frequencies: gnomAD v4.1 exomes and genomes, 1000 Genomes | af_gnomad_exomes_afr, af_gnomad_exomes_amr, af_gnomad_exomes_asj, af_gnomad_exomes_eas, af_gnomad_exomes_fin, af_gnomad_exomes_mid, af_gnomad_exomes_nfe, af_gnomad_exomes_remaining, af_gnomad_exomes_sas, af_gnomad_genomes_ami, af_gnomad_genomes_afr, af_gnomad_genomes_amr, af_gnomad_genomes_asj, af_gnomad_genomes_eas, af_gnomad_genomes_fin, af_gnomad_genomes_mid, af_gnomad_genomes_nfe, af_gnomad_genomes_remaining, af_gnomad_genomes_sas, af_1kg_afr, af_1kg_amr, af_1kg_eas, af_1kg_eur, af_1kg_sas |
transcripts |
optional | 2,757,116,851 | 4.32 GB | Every GENCODE primary transcript consequence of each allele | consequence, impact, gene_symbol, gene_id, transcript_id, biotype, exon, intron, hgvsc, hgvsp, amino_acids, protein_position, sift, polyphen, distance, strand |
Querying
Match a sample to the core first, then join only the sidecars you need on (chrom, row_idx):
WITH m AS (
SELECT v.*, c.row_idx, c.id
FROM read_parquet('sample.parquet') v
LEFT JOIN read_parquet('data/*.parquet') c USING (chrom, start, ref, alt)
)
SELECT m.*, k.* EXCLUDE (chrom, row_idx)
FROM m LEFT JOIN read_parquet('groups/consequence/*.parquet') k USING (chrom, row_idx);
Sources and licences
- VEP:
##VEP="v116.0" API="v116" time="2026-06-15 16:58:35" cache="/nfs/production/flicek/ensembl/variation/new_website/run_setup/outputs/tmp/homo_sapiens/116_GRCh38" ensembl=116.c0cf13d ensembl-compara=116.46f80af ensembl-funcgen=116.90049ea ensembl-io=116.6afb5dc ensembl-variation=116.2fb834b 1000genomes="phase3" COSMIC="102" ClinVar="202509" HGMD-PUBLIC="20204" assembly="GRCh38.p14" dbSNP="156" gencode="GENCODE 50" genebuild="GENCODE50" gnomADe="v4.1" gnomADg="v4.1" polyphen="2.2.3" regbuild="1.0" sift="6.2.1" - CADD: free for non-commercial use only (https://cadd.gs.washington.edu/)
- Ensembl data: no restrictions (https://www.ensembl.org/info/about/legal/)
The cadd group carries CADD scores, which are free for non-commercial use only; it is a separate
group so that commercial users can leave it out.