Assays

29 Assays visible to you, out of a total of 30

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Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan)

Leipzig Health Atlas, Onto-Med Research Group, SMITH

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

Contributor: Alexandr Uciteli

Biological problem addressed: Model Analysis Type

Snapshots: No snapshots

Investigation: Ontology-based Phenotyping

Study: Ontological Modelling of Type 2 Diabetes Mellit...

Human Diseases: diabetes mellitus

Models: No Models

SOPs: No SOPs

Data files: T2DM Case 1 Reasoner Report, T2DM Case 2 Reasoner Report, T2DM Case 3 Reasoner Report, T2DM Case 4 Reasoner Report, T2DM Case 5 Reasoner Report, T2DM Graphical Representation, T2DM Ontology, T2DM Tabular Representation

Created: 9th Mar 2020 at 15:18, Last updated: 10th Mar 2020 at 12:00

Summary Statistics

LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult

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
...

Contributor: Janne Pott

Assay type: Genome Wide Association

Technology type: SNP Array

Snapshots: No snapshots

Investigation: GWAS

Study: GWAS Steroid Hormones

Human Diseases: No human diseases

SOPs: No SOPs

Data files: Summary Statistics for 17-OH-Progesterone, Summary Statistics for Aldosterone, Summary Statistics for Androstenedione, Summary Statistics for Cortisol, Summary Statistics for DHEAS, Summary Statistics for Estradiol, Summary Statistics for Progesterone, Summary Statistics for Testosterone

Created: 8th Nov 2019 at 10:18, Last updated: 16th Dec 2019 at 08:31

HNSCC Clinical Dataset

LIFE Head and Neck Cancer Group

No description specified

Contributor: René Hänsel

Assay type: Experimental Assay Type

Technology type: Technology Type

Snapshots: No snapshots

Investigation: head and neck squamous cell carcinomas

Study: HNSCC

Human Diseases: head and neck squamous cell carcinoma

SOPs: No SOPs

Data files: GSE 65858 CSV, GSE 65858 ODM, GSE 65858 XLS, Gene expression patterns and TP53 mutations are...

Created: 4th Dec 2019 at 14:10, Last updated: 4th Dec 2019 at 14:43

HNSCC OMICS Data

LIFE Head and Neck Cancer Group

No description specified

Contributor: René Hänsel

Assay type: Experimental Assay Type

Technology type: Technology Type

Snapshots: No snapshots

Investigation: head and neck squamous cell carcinomas

Study: HNSCC

Human Diseases: head and neck squamous cell carcinoma

SOPs: No SOPs

Data files: Gene expression patterns and TP53 mutations are...

Created: 4th Dec 2019 at 14:19, Last updated: 4th Dec 2019 at 14:19

Supplement Data

LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult

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.

Contributor: René Hänsel

Assay type: Experimental Assay Type

Technology type: Technology Type

Snapshots: No snapshots

Investigation: GWAS

Study: GWAS Steroid Hormones

Human Diseases: coronary artery disease

SOPs: No SOPs

Data files: GWAS_SteroidHormones_SupTables

Created: 16th May 2019 at 16:48, Last updated: 8th Nov 2019 at 10:11

SMARTE-R-CHOP-14 trial data

German Lymphoma Alliance (GLA)