Genetical Statistics and Systems Biology

Motivation:

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.

Description:

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 group aims to develop and apply statistical and bioinformatic methods in genetics. This comprises e.g. the planning and conduction of studies, the management and analysis of high-dimensional molecular genetic data (germ line mutations, tumour cell line mutations, expression data, metabolomics), population genetics and integrative genome analyses. The work is accompanied by statistical or continuous modelling of diseases or physiological processes. For this purpose, we cooperate with different national and international study groups of different disease entities or phenotypes.

Programme: This Project is not associated with a Programme

LHA-ID: 7Q0CTG2ND8-7

Funding codes:
  • Freistaat Sachsen
  • ESF
  • BMBF

Public web page: http://www.imise.uni-leipzig.de/en/Groups/GenStat/

Human Diseases: No Human Disease specified

Leipzig Health Atlas PALs: Markus Scholz

Project Coordinators: No Project coordinators for this Project

Project start date: 1st Jan 2013

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