Studies

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51 Studies visible to you, out of a total of 58

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.

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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

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