Table 2 Feature comparison across GWAS online platforms

Focus on kidney function

eGFR associations [4]

y (until version 1.3.1)

y

n

y

eGFR associations (Stanzick et al. updated)

y

n

n

n

eGFR associations [32]

n

y

n

y

eGFR associations [5]

n

y

y (lead variants)

y

eQTL/sQTL data (kidney tissue)

y

n

Partly (in coloc)

n

BUN association [4]

For lead variants

y

n

y

eGFRcys association [4]

For lead variants

y

n

y

eGFR in DM versus noDM [26]

y

n

n

n

eGFR over time [25]

For lead variants

n

n

n

Genes with kidney phenotypes in mouse or human

y

Link to OMIM^c

Link to open targets^c

Link to MGI^c

Genes targeted by kidney disease drugs

y

n

n

n

Search functionality

Gene search

y

y

y

y

Variant search

y

y

y

y

Region search

y

y

n

y

Gene prioritization

Machine learning derived gene scores

n

n

y

y

Filter options for gene prioritization

y

n

n

n

Prioritization per locus

y

n

y

n

Prioritization across loci

y

n

n

n

Features

Protein-relevant variants

y

Partly^b

Integrated but not extractable

y

eQTL data (any tissue)

y

n

Integrated but not extractable

Integrated but not extractable

sQTL data (any tissue)

y

n

n

n

Genes with kidney phenotypes in mouse or human

y for kidney

Link to OMIM

Link to open targets^c

Link to MGI

Drug target information

y

n

Link to open targets^c

n

Genomic and epigenetic features ^a

Planned

n

y

y

Phewas

Planned

n

y

y

pathway analyses

Planned

n

Link to open targets

y