Summary Statistics


We are releasing the summary data from our meta-analyses of steroid hormones, to empower other researchers to examine variants or loci in which they are interested for association with these hormonal traits. These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source as follows: 'Data on steroid hormones XXX has been contributed by LIFE-Adult and LIFE-Heart investigators and has been downloaded from '

For any enquiries about the datasets, please contact Janne Pott ( or Markus Scholz (

Data is available per hormone, each containing statistics regarding the analyses of all samples, men only and women only. Files are in text delimited format and include: Markername, chr, bp_hg19, effect_allele, other_allele, effect_allele_freq, min_info, n, beta, se, p (+ CochransQ and pCochransQ, if meta analyzed) Statistics are based on fixed effect model, if meta analyzed.


Experimental assay

Janne Pott

Projects: Genetical Statistics and Systems Biology, LIFE Adult, LIFE Heart

Investigation: OMICS Investigations

Study: GWAS Steroid Hormones

Assay position:

Resource type: Genome Wide Association

Technology type: SNP Array

Human Diseases: No human diseases

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Created: 8th Nov 2019 at 10:18

Last updated: 16th Dec 2019 at 08:31

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