Table 1 Summary of GWAS summary statistics datasets used in the meta-analysis.

From: Integrative bioinformatics frameworks for abdominal aortic aneurysm using GWAS meta-analysis, biological network construction, and structural modeling

GWAS summary statistics

Study accession

Case

Control

Sample size

Ancestry

Phenotype source

GBMI meta-analyzes summary statistics from GWASs (Zhou et al.37)

GCST90399672

8163

1,256,755

1,264,918

European

The UKB samples37

The ability of exome sequencing to identify gene-trait associations (Backman et al.38)

GCST90080047

1184

386,746

387,930

European

The UKB study38

GLMM-based GWA tool

(Jiang et al.39)

GCST90044009

556

455,792

456,348

European

The UKB data and scalable to cohorts with millions of individuals39

  1. GLMM: generalized linear mixed model, GWA: genome-wide association, UKB: UK Biobank, GBMI: Global Biobank Meta-analysis Initiative, GWASs: genome-wide association studies.
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