Phenotyping clustering of multi-factorial diseases

General info

Date from - to

05 Dec 2005 - 01 May 2010

Project leader(s)

de Graaf, Albert

Participant(s)

van der Greef, Jan Prof. dr.

Leunissen, Jack Prof. dr.

Brunner, Han G. Prof. dr.

Abstract

Different people react differently to drugs. This simple fact creates a major challenge for drug design. Biology is an integrated system of genetic, protein, metabolite, cellular, and pathway events that are interdependent. These biological elements largely define the phenotype. With advanced bioinformatics tools, interlinked data repositories with species-specific molecular genetic information can be mined, and new phenotype-related cluster strategies can be developed. This generates model descriptions, based on systems biology, and enables personalized medication and nutrition.

Link to the end report of this project

Publications

• Phenome connections
• Prediction of human disease genes by human-mouse conserved coexpression analysis
• Similarities and Differences in Lipidomics Profiles among Healthy Monozygotic Twin Pairs
• Development of differential plasma cholesterol diagnosis using a computational model
• The modular nature of genetic diseases
• Conserved co-expression for candidate disease gene prioritization
• PO3-77 Particle Profiler: a model analysis of lipoprotein delipidation