De-identified GWAS summary statistics for a single genomic region. Sample names, variant positions, and identifiers have been randomized; they do not correspond to any real locus or study.
Format
A data frame with 2,828 rows and 8 columns:
- variant_id
Character. Synthetic variant identifier (chrom:pos:A1:A2).
- chrom
Character. Chromosome label.
- pos
Integer. Genomic position (synthetic).
- A1
Character. Effect allele.
- A2
Character. Other allele.
- beta
Numeric. GWAS effect size estimate.
- se
Numeric. Standard error of the effect size.
- z
Numeric. Z-score (beta / se).
Examples
data(gwas_sumstats_example)
head(gwas_sumstats_example)
#> variant_id chrom pos A1 A2 beta se z
#> 1 chr22:32119788:T:C chr22 32119788 T C -0.0089 0.0111 -0.8018018
#> 2 chr22:32119867:T:G chr22 32119867 T G -0.0089 0.0111 -0.8018018
#> 3 chr22:32119961:T:G chr22 32119961 T G 0.0236 0.0083 2.8433735
#> 4 chr22:32120053:T:C chr22 32120053 T C -0.0217 0.0246 -0.8821138
#> 5 chr22:32120593:A:G chr22 32120593 A G -0.0232 0.0246 -0.9430894
#> 6 chr22:32120636:T:C chr22 32120636 T C 0.0045 0.0141 0.3191489