Browse the IEU OpenGWAS project

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GWAS ID	Year	Trait	Consortium	Sample size	Number of SNPs
prot-c-5339_49_3	2019	calgranulin B	NA	—	501,428
prot-c-2668_70_2	2019	Calpain I	NA	—	501,428
prot-c-3026_5_2	2019	Calpastatin	NA	—	501,428
prot-c-5264_65_3	2019	calreticulin	NA	—	501,428
prot-c-3592_4_3	2019	CAMK1	NA	—	501,428

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Data overview

The GWAS summary datasets are currently organised into the following 18 batches:

Batch	Description	Count
bbj-a	Biobank Japan release of disease traits	120
ebi-a	Datasets that satisfy minimum requirements imported from the EBI database of complete GWAS summary data	2,585
eqtl-a	eQTLGen 2019 results, comprising all cis and some trans regions of gene expression in whole blood	19,942
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)	207
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