OPEDGP | Omics Phenotyping of Endocrine Disease in the General Population

Summary
Metabolomics is a relatively new technology that provides information about levels of human metabolites, the low molecule products at the end (downstream) of the metabolic pathways of human physiology. In theory, metabolite profiles may more closely reflect the clinical phenotype and thus potentially improve risk prediction. Another advantage is that that they can be performed on non-invasive biofluids like urine. Several metabolomics studies have suggested that the metabolite profile of an individual can be used as a predictor of type 2 diabetes. However, evidence from large-scale population-based studies with comprehensive phenotypes of diabetes and thyroid disease is limited. The aim of the project is to identify urine metabolite profiles associated with risk of diabetes and thyroid disease and to investigate pathogenetic pathways by identifying genetic determinants of these metabolites. The project takes advantage of the long tradition of population-based and registry-based epidemiological research in Denmark. The experienced researcher will complete a training program supervised by two recognised Danish research institutions with complementary expertise in the fields of epidemiology and genetics, respectively. Hereby the experienced researcher will achieve competences in the field of statistical modelling of epidemiological data with repeated measures and use of the unique Danish registries for research. Furthermore, during the secondment at the partner institution the experienced researcher will receive training in genetic epidemiology. In return, knowledge of metabolomics will be translated to the beneficiary and partner organizations. It is expected that the results will provide novel insights into the pathophysiology of diabetes and thyroid disease and identify novel biomarkers to improve risk prediction in individuals.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/657595
Start date: 01-08-2015
End date: 31-07-2017
Total budget - Public funding: 200 194,80 Euro - 200 194,00 Euro
Cordis data

Original description

Metabolomics is a relatively new technology that provides information about levels of human metabolites, the low molecule products at the end (downstream) of the metabolic pathways of human physiology. In theory, metabolite profiles may more closely reflect the clinical phenotype and thus potentially improve risk prediction. Another advantage is that that they can be performed on non-invasive biofluids like urine. Several metabolomics studies have suggested that the metabolite profile of an individual can be used as a predictor of type 2 diabetes. However, evidence from large-scale population-based studies with comprehensive phenotypes of diabetes and thyroid disease is limited. The aim of the project is to identify urine metabolite profiles associated with risk of diabetes and thyroid disease and to investigate pathogenetic pathways by identifying genetic determinants of these metabolites. The project takes advantage of the long tradition of population-based and registry-based epidemiological research in Denmark. The experienced researcher will complete a training program supervised by two recognised Danish research institutions with complementary expertise in the fields of epidemiology and genetics, respectively. Hereby the experienced researcher will achieve competences in the field of statistical modelling of epidemiological data with repeated measures and use of the unique Danish registries for research. Furthermore, during the secondment at the partner institution the experienced researcher will receive training in genetic epidemiology. In return, knowledge of metabolomics will be translated to the beneficiary and partner organizations. It is expected that the results will provide novel insights into the pathophysiology of diabetes and thyroid disease and identify novel biomarkers to improve risk prediction in individuals.

Status

CLOSED

Call topic

MSCA-IF-2014-EF

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2014
MSCA-IF-2014-EF Marie Skłodowska-Curie Individual Fellowships (IF-EF)