Height GWAS

Associations between human body height and genetic markers. This is a random selection of 10'000 SNPs from summary statistics produced by the manuscript of Yengo et al. (2018).

giant

Format

The data set contains 10 variables:

snp

SNP identifier

chr

Chromosome

pos

Physical position (Genome build hg19)

tested_allele

Allele corresponding to the effect size beta

other_allele

Other allele

freq_tested_allele_hrs

Frequency of the tested allele in the Health and Retirement Study (from 8,552 unrelated participants).

beta

(Marginal) effect size

se

Standard error of the effect size

p

P-value of the effect size

n

Sample size

Source

Data: https://portals.broadinstitute.org/collaboration/giant/images/c/c8/Meta-analysis_Locke_et_al%2BUKBiobank_2018_UPDATED.txt.gz Data description: https://portals.broadinstitute.org/collaboration/giant/images/0/01/README_summary_statistics_Yengo_et_al_2018.txt Manuscript: Yengo et al. (2018) https://www.biorxiv.org/content/early/2018/03/22/274654

Details

The summary statistics by running a genome-wide association study (GWAS) for height in ~700K individuals of European ancestry. Each line in the dataset corresponds to the association between height (transformed) as an outcome and one genetic marker (indicated in snp) plus covariates as predictors.