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We modelled the algorithm for determining Type 2 Diabetes Mellitus (T2DM) cases presented by PheKB.org using Phenotype Manager (PhenoMan).

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 primary goal of this study was to identify genetic loci associated with steroid hormone levels (cortisol, DHEA-S, testosterone, estradiol, progesterone, 17-hydroxyprogesterone, androstenedione, and aldosterone). In a secondary analysis, we searched for causal effects of steroid hormones on coronary artery disease.

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: OMICS Investigations

Study: GWAS Steroid Hormones

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival) Sample Size: 189

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: SMARTE-R-CHOP-14

Study: SMARTE-R-CHOP-14

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival) Sample Size: 189

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: SMARTE-R-CHOP-14

Study: SMARTE-R-CHOP-14

No description specified

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: SISPCT

Study: SISPCT

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