Summary statistics of a meta GWAS of odour identification. For each investigated odour, combined and sex-stratified results are uploaded. GWAS catalogue format for summary statistics is used. Only genetic variants present in at least two studies are included.

Included columns:

• chromosome
• base_pair_location (hg38)
• effect_allele
• other_allele
• beta
• standard_error
• effect_allele_frequency
• p_value
• variant_id
• info
• n
• n_stud
• I2
• het_chi_sq
• het_df
• het_p_value
• direction ...

The model can be opened with the 3LGM² - Three-layer Graph-based meta modelling tool, a software to support the modelling of information systems in health care in strategic information management. See also the product page in ToolPool Gesundheitsforschung (in German).

Die enthaltenen ZIPs enthalten FHIR-Ressourcen Patient und Fall als Konvertierungen aus dem MIMIC-IV Demodatensatz.

For requesting access to the data, please fill out and sign the Data Access Agreement document and send it to the SysMedPD Metabolomics Data Access Committee (christine_klein@uni-luebeck.de).

Clinical characteristics of Parkinson's Disease patients and healthy controls

Targeted metabolomics data from blood samples using five different platforms (amines, acylcarnitines, organic acids, signaling lipids and lididomics)

This document is an excerpt of the author’s bachelor thesis.

Summary Statistics used in publication

Polar test data for individual workpackages with different FHIR structure.

Collection of general FHIR test data

Allgemein

Alle einzelnen Datensätze sind aufgeteilt in jeweils (maximal) 1000 Patienten, die jeweils als json.zip und ndjson verfügbar sind. Die json.zip und ndjson beinhalten jeweils bis zu 1000 Transaktion-Bundles mit jeweils 1 Patienten. Die gleichnamige Excel-Datei ist die Vorlage zum Generieren JSON-Dateien.

VHF-Testdaten_01

Ursprüngliche Vorhofflimmern (VHF) Testdaten sind Patienten

• unterschiedlichen Alters (17 bis 83 Jahre, davon 3300 Patienten mit Alter > 65 Jahre)
• mit ...

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).”

To provide data input and result from a scRNA-Seq integration workflow

The 3LGM² reference model for the FAIR4Health information architecture is based on the 3LGM² Metamodel. A graphical export of the different layers and a matrix view of the inter-level relationships is provided. However the 3LGM² tool is required for an interactive display of the model and additional functions.

Clinical data extracted from local EHR systems.

Example study for people with hypertension or obesity as inclusion criteria. This ontology uses the Core Ontology of Phenotypes as a general phenotypic model.

We are releasing the summary data from our GWAMA of PCSK9 levels, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.

Citation: tba

When using this data acknowledge the source as follows: 'Data on PCSK9 has been downloaded from https://www.health-atlas.de/data_files/551.'

For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) ...

We are releasing the summary data from our GWAMA of phytosterol traits, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.

Citation: tba

When using this data acknowledge the source as follows: 'Data on phytosterol X has been contributed by LIFE investigators and has been downloaded from https://www.health-atlas.de/assays/53.'

For any enquiries about ...

Summary statistics from GWAS of baPWV, bfPWV, cfPWV All samples (adjusted for age, sex and log_sys)

These data is intended for research purposes only.

Citation: tbc

When using this data acknowledge the source as follows: 'Data on PWV has been contributed by LIFE-Adult investigators and has been downloaded from https://www.health-atlas.de/assays/34'

For any enquiries about the datasets, please contact Michael Rode (michael.rode@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de) ...

We are releasing the summary data from our GWAS of carotid plaque burden traits, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.

Citation:

When using this data acknowledge the source as follows: 'Data on carotid plaque burden has been contributed by LIFE-Adult investigators and has been downloaded from https://www.health-atlas.de/assays/31 '

For any ...

This assay bundles all synthetic FHIR data of the PhenoMan evaluation. The data arised from a subset of a Synthea(TM) generated data set. We truncated some resource types like Encounter and Provider to reduce the size of the data set and to speed up the import in a FHIR health data store.

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.

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

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

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival) Sample Size: 268

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival) Sample Size: 268

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

The role of intensive insulin therapy in patients with severe sepsis is uncertain. Fluid resuscitation improves survival among patients with septic shock, but evidence is lacking to support the choice of either crystalloids or colloids. We compared intensive insulin therapy with conventional insulin therapy and HES with Ringer’s lactate.

The role of intensive insulin therapy in patients with severe sepsis is uncertain. Fluid resuscitation improves survival among patients with septic shock, but evidence is lacking to support the choice of either crystalloids or colloids. We compared intensive insulin therapy with conventional insulin therapy and HES with Ringer’s lactate.

Adjunctive hydrocortisone (HC) therapy is suggested by the Surviving Sepsis Campaign in refractory septic shock only. The case for septic patients without shock remains controversial. We investigated the efficacy of HC in patients with severe sepsis without shock

Restricted Trial Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)