41 Studies visible to you, out of a total of 48

A meta-analysis of genome-wide associations for serum vaspin from six independent cohorts (N = 7446) was conducted. The data show that serum vaspin is strongly determined by genetic variants within vaspin.

This study belongs to the publication:

Submitter: Katrin Horn

Investigation: OMICS Investigations

Resources: Summary Statistics

Study type: Genetic study

The test data

  • are freely invented by clinical experts (manually, synthetically) and have no relation to real persons
  • have been generated by a tool developed at the University of Leipzig from contributions of different expert groups out of a MS Excel format
  • are available for free use as HL7® FHIR® bundles in json format;
  • are suitable for direct transfer into a FHIR server
  • correspond as far as ...

Submitter: Frank A. Meineke

Investigation: Test Data

Resources: General FHIR Test Data, POLAR, Vorhofflimmern

Study type: Not specified

A collection of Bulletins of the Institute for Medical Informatics, Statistics and Epidemiology (IMISE) about the COVID-19 pandemic in Leipzig and Saxony. This work was funded in the framework of the project SaxoCOV (Saxonian COVID-19 Research Consortium, SaxoCOV was financed by the Free State of Saxony).”

Submitter: René Hänsel

Investigation: Covid-19

Resources: Entwicklung der COVID-19 Epidemie in Sachsen und Deutschland

Study type: Not specified

To achieve the objective of Use Case 1, a retrospective study has been performed with data from 5 EU cohorts in different health care settings (hospital, primary care, nursing homes) and health research organizations:

  1. UNIGE: provides anonymized health care data from the EHR of the University Hospitals of Geneva.
  2. SAS: provides health care data from the EHR of the Virgen del Rocío University Hospital in Seville as part of the Andalusian Health Service.
  3. UCSC: provides health ...

Submitter: Matthias Löbe

Investigation: FAIR4Health Pathfinder Case Studies

Resources: Clinical Dataset

Study type: Secondary data analysis

In this study we used the Core Ontology of Phenotypes as general phenotypic model to represent phenotype knowledge. The phenotypes are modelled in so called Phenotype Specification Ontologies.

No description specified
No description specified

Submitter: Katrin Horn

Investigation: OMICS Investigations

Resources: Gene Expression data, LIFE-Adult EPIC data

Study type: Not specified

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