Coffee Version 1
LHA ID: 8VK7QQ3H1X-5
Filename:
coffee.zip
Format: Zip file
Size: 1.14 GB
Data file type: Not specified
Human Diseases: No Human Disease specified
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Created: 6th Jun 2025 at 14:12
Last used: 23rd Jul 2025 at 17:12
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Version 1 Created 6th Jun 2025 at 14:12 by Franz Förster
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The group is interested in omic-level studies including the genome, methylome, transcriptome, and metabolome of the general population as well as of various diseases including cardiovascular diseases, pneumonia, sepsis, obesity, and brain cancers. Additionally, we aim at transfering results of biomathematical model simulations into clinical practice e.g. by haematopoietic growth-factor opimization during cytotoxic chemotherapy and optimization of EPO applications in chronic kidney disease.
The ...
Programme: This Project is not associated with a Programme
Public web page: http://www.imise.uni-leipzig.de/en/Groups/GenStat/
Start date: 1st Jan 2013
Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).
Submitter: René Hänsel
Studies: DNA methylation patterns reflect individual lifestyle independent from o..., GWAMA Olfaction, GWAMA PCSK9, GWAMA Phytosterole, GWAMA Steroid hormones, GWAMA vaspin, GWAS Body Scanner Measures, GWAS Carotid Plaque Burden, GWAS Pulse Wave Velocity, GWAS Steroid Hormones, scRNA-Seq across species for pulmonologists
Resources: Gene Expression data, LIFE-Adult EPIC data, Summary Statistic for PWV GWAS, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics - Phytosterols, Summary Statistics of odour identification, Supplement Data, scRNA-Seq expression data as RDS Seurat file
Summary statistics of Meta-GWAS of odour identification.
Submitter: Franz Förster
Investigation: OMICS Investigations
Resources: Summary Statistics of odour identification
Study type: Genetic study
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 ...
Submitter: Franz Förster
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: OMICS Investigations
Study: GWAMA Olfaction
https://orcid.org/0000-0002-2246-6843
