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| pretty_name: GWASLab Reference | |
| license: other | |
| license_name: source-data-terms | |
| task_categories: | |
| - other | |
| tags: | |
| - gwas | |
| - genomics | |
| - 1000-genomes | |
| - hapmap | |
| - ld-reference | |
| - allele-frequency | |
| # GWASLab reference datasets | |
| Processed genomic reference files used by [GWASLab](https://cloufield.github.io/gwaslab/) (`download_ref` / `gwaslab download ref`). This dataset replaces the previous Dropbox hosting for GWASLab-processed panels. Official dbSNP VCFs, UCSC FASTA, Ensembl/RefSeq GTF, and liftOver chains stay at their original hosts. | |
| Package catalog: [`reference.json`](https://github.com/Cloufield/gwaslab/blob/main/src/gwaslab/data/reference.json). Checksums for every file in this repo are in [`md5sum.txt`](md5sum.txt). | |
| ## Download with GWASLab | |
| ```python | |
| import gwaslab as gl | |
| gl.download_ref("1kg_eas_hg19") | |
| print(gl.get_path("1kg_eas_hg19")) | |
| ``` | |
| ```bash | |
| gwaslab download ref 1kg_eas_hg19 | |
| gwaslab path 1kg_eas_hg19 | |
| ``` | |
| Direct Hub URL (basename is the local filename `download_ref` writes): | |
| `https://huggingface.co/datasets/Cloufield/gwaslab-reference/resolve/main/1kg/hg19/EAS.ALL.split_norm_af.1kgp3v5.hg19.vcf.gz` | |
| ## Layout | |
| | Path | GWASLab keyword(s) | Use | | |
| |------|--------------------|-----| | |
| | `1kg/hg19/*.vcf.gz` (+ `.tbi`) | `1kg_{afr,amr,eas,eur,pan,sas}_hg19` | LD / strand / AF (1KGP3v5, hg19) | | |
| | `1kg/hg38/*.vcf.gz` (+ `.tbi`) | `1kg_{afr,amr,eas,eur,pan,sas}_hg38` | LD / strand / AF (1KG 30x, hg38) | | |
| | `rsid/1kg_dbsnp151_*_auto.txt.gz` | `1kg_dbsnp151_hg19_auto`, `1kg_dbsnp151_hg38_auto` | SNPID–rsID tables (autosomes) | | |
| | `eaf/PAN.hapmap3.*.EAF.tsv.gz` | `1kg_hm3_hg19_eaf`, `1kg_hm3_hg38_eaf` | HapMap3 EAF for ancestry | | |
| | `recombination/recombination_hg*.tar.gz` | `recombination_hg19`, `recombination_hg38` | Regional recombination tracks | | |
| | `examples/t2d_bbj.txt.gz` | *(not a catalog keyword)* | Tutorial BBJ T2D sumstats | | |
| Ancestries: AFR, AMR, EAS, EUR, SAS, PAN (all 1KG super-populations combined). Multi-allelic variants were decomposed and normalized; INFO includes population `AF`. | |
| ## Processing | |
| 1KG VCFs were processed by GWASLab for regional LD plots and strand inference. They are not a substitute for the official 1000 Genomes release files. | |
| ## Citations | |
| - **GWASLab:** He Y, Koido M, Shimmori Y, Kamatani Y. GWASLab: a Python package for processing and visualizing GWAS summary statistics. Jxiv (2023). https://doi.org/10.51094/jxiv.305 | |
| - **1000 Genomes Project:** The 1000 Genomes Project Consortium. A global reference for human genetic variation. *Nature* (2015). 30x high-coverage data: Byrska-Bishop et al., *Cell* (2022). | |
| - **HapMap recombination maps:** International HapMap Consortium. | |
| - **BBJ T2D example:** Suzuki K et al. Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. *Nat Genet* (2019). Source: http://jenger.riken.jp/ | |
| Redistribute and cite the original consortia terms for 1KG, HapMap, dbSNP-derived tables, and BBJ summary statistics. | |