WP 1-4 Definition of ‘metabotypes’

Definition of 'metabotypes' for testing responsiveness to dietary modification

Evidence exists that differences in the reaction to dietary interventions are based on the genetic and metabolic characteristics of individuals. Recent studies focused on subjects at high risk for a certain disease based on their genotype but success in terms of reactivity to dietary modification in relation to disease risk was modest, if any.

In our project, we aim at identifying "metabotypes" as a disease-preconditioning phenotype. We will use omics data (metabolomics, genetics and epigenetics) in combination with standard clinical markers and other phenotypic data; such data are available for the participants of the KORA F4 study (n = 3.000). We will than test selected diet-disease associations by metabotypes. In this project we will mainly focus on obesity and obesity-related metabolic diseases.

We will apply different statistical clustering methods for deviating metabotypes. Individuals within a metabotype should show a high similarity and individuals of different metabotypes a high dissimilarity.

Definition of metabotypes based on statistical clustering methods

Objectives:

Therefore, the objectives of the present project are:

  1. define metabotypes by statistical analyses based on available -omics data and classical clinical markers

  2. analyze diet-disease associations by metabotype in a cohort setting

Coordinating investigator

Prof. Dr. Jakob Linseisen

Helmholtz Zentrum München
Institut für Epidemiologie II

Tel.:     +49 (0)89 3187 3202
Email:  j.linseisen[at]helmholtz-muenchen.de

Partner

Prof. Dr. Hannelore Daniel 

Technische Universität München
Lehrstuhl für Ernährungsphysiologie

Tel.:     +49 (0)8161 71 3400
Email:  daniel[at]tum.de

Prof. Dr. med. Hans Hauner

Technische Universität München
Klinikum rechts der Isar, Else Kröner-Fresenius-Zentrum für Ernährungsmedizin
Uptown Campus D München

Tel.:    +49 (0) 89 289 249 11
Emai:  hans.hauner[at]tum.de