LHA ID: 8VK3Y7JWXA-3
Location:
Germany
ORCID:
https://orcid.org/0000-0002-2246-6843
Joined: 6th Jun 2025
Expertise: Not specified
Tools: Not specified
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
Organisms: Homo sapiens
Submitter: Franz Förster
Investigation: OMICS Investigations
Resources: Summary statistics of a genome-wide association meta-analysis (GWAMA) of...
Study type: Not specified
Snapshots: No snapshots
Summary statistics of Meta-GWAS of odour identification.
Submitter: Franz Förster
Investigation: OMICS Investigations
Resources: Summary Statistics of odour identification
Study type: Genetic study
Snapshots: No snapshots
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
Human Diseases: No human diseases
Data files: GWAMA_che.tsv.gz, GWAMA_chf.tsv.gz, GWAMA_chf_che.tsv.gz, GWAMA_cht.tsv.gz, GWAMA_dee.tsv.gz, GWAMA_def.tsv.gz, GWAMA_def_chf.tsv.gz, GWAMA_def_dee.tsv.gz, GWAMA_def_laf.tsv.gz, GWAMA_det.tsv.gz, GWAMA_det_cht.tsv.gz, GWAMA_det_laf.tsv.gz, GWAMA_laf.tsv.gz, GWAMA_laf_cht.tsv.gz
Snapshots: No snapshots
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
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
Investigations: OMICS Investigations
Studies: GWAMA zoosterols
Resources: Summary statistics of a genome-wide association...
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