| bbj-a |
Biobank Japan release of disease traits |
118 |
| ebi-a |
Datasets that satisfy minimum requirements imported from the EBI database of complete GWAS summary data |
1,302 |
| eqtl-a |
eQTLGen 2019 results, comprising all cis and some trans regions of gene expression in whole blood |
19,942 |
| finn-a |
FinnGen biobank analysis |
1,485 |
| finn-b |
FinnGen biobank analysis round 5 |
2,803 |
| ieu-a |
GWAS summary datasets generated by many different consortia that have been manually collected and curated, initially developed for MR-Base |
440 |
| ieu-b |
GWAS summary datasets generated by many different consortia that have been manually collected and curated, initially developed for MR-Base (round 2) |
80 |
| met-a |
Human blood metabolites analysed by Shin et al 2014 |
452 |
| met-b |
Human immune system traits analysed by Roederer et al 2015 |
150 |
| met-c |
Circulating metabolites analysed by Kettunen et al 2016 |
123 |
| met-d |
Metabolic biomarkers in the UK Biobank measured by Nightingale Health 2020 |
249 |
| prot-a |
Complete GWAS summary data on protein levels as described by Sun et al 2018 |
3,282 |
| prot-b |
Complete GWAS summary data on protein levels as described by Folkersen et al 2017 |
83 |
| prot-c |
Complete GWAS summary data on protein levels as described by Suhre et al 2017 |
1,124 |
| ubm-a |
Complete GWAS summary data on brain region volumes as described by Elliott et al 2018 |
3,143 |
| ukb-a |
Neale lab analysis of UK Biobank phenotypes, round 1 |
596 |
| ukb-b |
IEU analysis of UK Biobank phenotypes |
2,514 |
| ukb-d |
Neale lab analysis of UK Biobank phenotypes, round 2 |
904 |
| ukb-e |
Pan-ancestry genetic analysis of the UK Biobank performed at the Broad Institute |
3,873 |