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).
The data set contains 10 variables:
Physical position (Genome build hg19)
Allele corresponding to the effect size
Frequency of the tested allele in the Health and Retirement Study (from 8,552 unrelated participants).
(Marginal) effect size
Standard error of the effect size
P-value of the effect size
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
snp) plus covariates as predictors.
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
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