Studies
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: https://doi.org/10.1002/oby.23882
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:
- UNIGE: provides anonymized health care data from the EHR of the University Hospitals of Geneva.
- SAS: provides health care data from the EHR of the Virgen del Rocío University Hospital in Seville as part of the Andalusian Health Service.
- 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.
Submitter: Christoph Beger
Investigation: Phenotype Knowledge Model
Resources: Example Phenotype Specification Ontology for Inclusion Criteria Hyperten...
Study type: Not specified
Submitter: Matthias Löbe
Investigation: FAIR4Health Information Architecture
Resources: 3LGM² local model DIC Leipzig, 3LGM² model survey, 3LGM² reference model, Diagram inter-level relationships
Study type: Not specified
Submitter: Katrin Horn
Investigation: OMICS Investigations
Resources: Gene Expression data, LIFE-Adult EPIC data
Study type: Not specified
Summary statistics of Meta-GWAS results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
In our manuscript, we describe current procedures, tools, and results to create, compare and qualitatively assess the single-cell transcriptomes of the lung in three different species; human (Homo sapiens), hamster (Mesocricetus auratus), and mice (Mus musculus).
We make the analysis reproducible by publishing the R-based workflow on GitHub pulmonologists_interspecies_scRNA
.
Here in the LHA, we provide the required scRNA-Seq
...
Submitter: Holger Kirsten
Investigation: OMICS Investigations
Resources: scRNA-Seq expression data as RDS Seurat file
Study type: Cell study
Genome-wide Association Meta-Analyses of four steroid hormones (progesterone, 17-OH-progesterone, androstenedione, and aldosterone) and the ratio of testosterone to estradiol. Summary statistics of GWAMA results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: No Resources
Study type: Genetic study
Genome-wide Association Meta-Analyses of 32 phytosterol traits reflecting resorption, cholesterol synthesis and esterification in six studies with up to 9,758 subjects Summary statistics of GWAMA results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics - Phytosterols
Study type: Genetic study
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Submitter: René Hänsel
Investigation: FLYER
Resources: FLYER trial data, FLYER trial metadata
Study type: Not specified
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Submitter: René Hänsel
Investigation: ACT-2
Resources: ACT-2 trial data, ACT-2 trial metadata
Study type: Not specified
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Submitter: René Hänsel
Investigation: SEXIE-R-CHOP-14
Resources: SEXIE-R-CHOP-14 metadata, SEXIE-R-CHOP-14 trial data
Study type: Not specified
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Submitter: René Hänsel
Investigation: Covid-19
Resources: Covid-19 Data Sources Germany, Covid-19 Data Sources worldwide
Study type: Not specified
We analysed if measuring PWV in different segments of the body leads to association with different genetic variants, as well as different heritability and different genetic correlation with other biological traits. Furthermore we searched for shared genetic architecture concerning PWV, blood pressure (BP) and coronary artery disease (CAD) and examined the causal relationship between PWV and BP.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistic for PWV GWAS
Study type: Genetic study
We evaluated if the PhenoMan returns correct/complete result sets and if it is working with real data. To simulate a FHIR health data store with real data we used Synthea(TM) to generate a large data set and imported it into a HAPI FHIR JPA Server. Based on the synthetic data set we developed ten example queries with different structure and complexity with PhenoMan and SQL. We compared the results of the queries in means of execution time and equality of results.
The detailed steps of the evaluation ...
Submitter: Christoph Beger
Investigation: Ontology-based Phenotyping
Resources: PhenoMan Evaluation - Synthetic FHIR Data
Study type: Not specified
Submitter: Alexandr Uciteli
Investigation: Ontology-based Phenotyping
Resources: Basic Eligibility Criteria of an Example Blood Pressure Study
Study type: Not specified
We defined six operationalizations of CPB considering plaques in common carotid arteries, carotid bulb, and internal carotid arteries (maximal plaque area, mean plaque area, sum of plaque areas at all six regions, maximal degree of stenosis, mean degree of stenosis, and sum of stenosis at all six regions). Link to publication (PMID, DOI), Supplemental Figures and Tables, and Summary Statistics of GWAS will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
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)
Submitter: René Hänsel
Investigation: OMICS Investigations
Resources: Summary Statistics, Supplement Data
Study type: Genetic study
Submitter: Alexandr Uciteli
Investigation: Ontology-based Phenotyping
Resources: Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan)
Study type: Not specified
Stratification of head and neck squamous cell carcinomas (HNSCC) based on HPV16 DNA and RNA status
Submitter: René Hänsel
Investigation: head and neck squamous cell carcinomas
Resources: HNSCC Clinical Dataset, HNSCC OMICS Data
Study type: Clinical study (Phase 1)
Submitter: René Hänsel
Investigation: HighCHOEP phase 2
Resources: No Resources
Study type: Not specified
Mega-CHOEP phase III is a randomised study comparing conventional chemoimmunotherapy with R-CHOEP-14 with high-dose chemotherapy plus Rituximab with autologous stem cell transplantation in high-risk patients aged 61 to 80 years with Aggressive Non-Hodgkin’s Lymphoma.
Submitter: René Hänsel
Investigation: MegaCHOEP Phase III
Resources: No Resources
Study type: Not specified
Baseline Data and Endpoints for MAXSEP
Submitter: René Hänsel
Investigation: MAXSEP
Resources: MAXSEP Trial Data, MAXSEP Trial Metadata
Study type: Not specified
Baseline Data and Endpoints for HYPRESS
Submitter: Christoph Beger
Investigation: HYPRESS
Resources: HYPRESS Trial Data, HYPRESS Trial Metadata
Study type: Not specified
Baseline Data and Endpoints for SISPCT
Submitter: René Hänsel
Investigation: SISPCT
Resources: SISPCT Trail Data, SISPCT Trail Metadata
Study type: Not specified
Baseline Data and Endpoints for VISEP
Submitter: René Hänsel
Investigation: Efficacy of Volume Substitution and Insulin The...
Resources: VISEP metadata, VISEP trial data
Study type: Not specified
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival) Sample Size: 103
Submitter: René Hänsel
Investigation: Pegfilgrastim
Resources: Pegfilgrastim metadata, Pegfilgrastim trial data
Study type: Not specified
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Submitter: René Hänsel
Investigation: RICOVER-noRTh
Resources: RICOVER-noRTh metadata, RICOVER-noRTh trial data
Study type: Not specified
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Submitter: René Hänsel
Investigation: RICOVER-60
Resources: RICOVER-60 trial data, RICOVER-60 trial metadata
Study type: Not specified
Submitter: René Hänsel
Investigation: MInT
Resources: MInT trial data, MInt Trial Result Metadata
Study type: Not specified
Submitter: René Hänsel
Investigation: MegaCHOEP
Resources: MegaCHOEP Trial Metadata, MegaCHOEP trial data
Study type: Not specified
Submitter: René Hänsel
Investigation: MegaCHOEP phase 2 (Glass 2006, Schmitz 2006, Gl...
Resources: No Resources
Study type: Not specified
Submitter: René Hänsel
Investigation: SMARTE-R-CHOP-14
Resources: SMARTE-R-CHOP-14 metadata, SMARTE-R-CHOP-14 trial data
Study type: Not specified
Submitter: René Hänsel
Investigation: DENSE-R-CHOP-14
Resources: DENSE-R-CHOP-14 trial data, DENSE-R-CHOP-14 trial metadata
Study type: Not specified