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 https://www.health-atlas.de/assays/27 '
For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de)
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.
LHA ID: 7YREK9VC1R-3
Experimental assay
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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Creators and SubmitterViews: 3278
Created: 8th Nov 2019 at 10:18
Last updated: 16th Dec 2019 at 08:31
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Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/
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Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).
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Supplement Data for Publication including Supplement Material & Results (eQTL annotation, Mendelian Randomization (MR), further significant loci), Figures (correlation plot of steroid hormones, scatter plot of genetic effect sizes, regional association plots, scatter plots of MR) and Tables (Correlations, GWAS summary statistics, interaction tests, MR results)
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Summary statistics from meta GWAS of cortisol for
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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
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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
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Creator: Janne Pott
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Relationship type: Not specified
https://orcid.org/0000-0002-5983-5331
Projects: LIFE Heart, LIFE - Leipzig Research Center for Civilization Diseases, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, e:Med, Genetical Statistics and Systems Biology, Task Force COVID-19 Leipzig, NFDI4Health
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
Markus Scholz Scientific Speaker Institution Institut für Medizinische Informatik, Statistik und Epidemiologie Universität Leipzig Härtelstraße 16-18 04107 Leipzig
Projects: LIFE Heart, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, SepNet - German Competence Network Sepsis, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, LIFE Child, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, LIFE Adult
Web page: https://www.uniklinikum-leipzig.de/einrichtungen/life
