Cloufield/GWASLab-Reference
GWASLab reference datasets Processed genomic reference files used by 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. Checksums for every file in this repo are in md5sum.txt. Download with GWASLab import gwaslab as gl gl.download_ref("1kg_eas_hg19")… See the full description on the dataset page: https://huggingface.co/datasets/Cloufield/GWASLab-Reference.
GWASLab reference datasets
Processed genomic reference files used by 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`. Checksums for every file in this repo are in `md5sum.txt`.
Download with GWASLab
import gwaslab as gl
gl.download_ref("1kg_eas_hg19")
print(gl.get_path("1kg_eas_hg19"))gwaslab download ref 1kg_eas_hg19
gwaslab path 1kg_eas_hg19Direct 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
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.
