GWAMA_det.tsv.gz Version 1
LHA ID: 8YGWU3KUYQ-1
Filename:
GWAMA_det.tsv.gz
Format: Gzip archive
Size: 411 MB
Data file type: Not specified
Human Diseases: No Human Disease specified
Export PNG
Creators and Submitter
Views: 97 Downloads: 12
Created: 14th Jan 2026 at 12:07
Last used: 29th Jan 2026 at 01:27
TagsThis item has not yet been tagged.
AttributionsNone
Version History
Version 1 Created 14th Jan 2026 at 12:07 by Franz Förster
No revision comments
Related items
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, GWAMA zoosterols, 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, Summary statistics of a genome-wide association meta-analysis (GWAMA) of..., Supplement Data, scRNA-Seq expression data as RDS Seurat file
Submitter: Franz Förster
Investigation: OMICS Investigations
Resources: Summary statistics of a genome-wide association meta-analysis (GWAMA) of...
Study type: Not specified
Investigate genetic basis of cholesterol precursors lanosterol and desmosterol as intermediate phenotypes and the relation to coronary artery disease.
Submitter: Franz Förster
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: OMICS Investigations
Study: GWAMA zoosterols
https://orcid.org/0000-0002-2246-6843
