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CoMorMent SIGNED

Predicting comorbid cardiovascular disease in individuals with mental disorder by decoding disease mechanisms

Total Cost €

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EC-Contrib. €

0

Partnership

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Project "CoMorMent" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITETET I OSLO 

Organization address
address: PROBLEMVEIEN 5-7
city: OSLO
postcode: 313
website: www.uio.no

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Norway [NO]
 Total cost 5˙998˙613 €
 EC max contribution 5˙998˙613 € (100%)
 Programme 1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease)
 Code Call H2020-SC1-2019-Two-Stage-RTD
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITETET I OSLO NO (OSLO) coordinator 1˙523˙625.00
2    ISLENSK ERFDAGREINING EHF IS (REYKJAVIK) participant 818˙750.00
3    REGION HOVEDSTADEN DK (HILLEROD) participant 769˙250.00
4    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 667˙800.00
5    TARTU ULIKOOL EE (TARTU) participant 553˙125.00
6    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 532˙756.00
7    MULTIMODAL IMAGING SERVICES CORPORATION US (SAN DIEGO CA) participant 451˙875.00
8    AMRA MEDICAL AB SE (LINKOPING) participant 360˙000.00
9    HASKOLI ISLANDS IS (REYKJAVIK) participant 321˙432.00

Map

 Project objective

Comorbid cardiovascular disease in people with severe mental disorders is a major public health concern and poses a considerable financial burden on European Health Care. The CoMorMent project will uncover mechanisms underlying the higher incidence of cardiovascular disease in people with mental disorders. This project builds on our recent findings that genetic variation that affects genes expressed in the brain and which increase the risk of mental disorders also impact lifestyle and behaviour (e.g. diet, exercise, and smoking) that increase cardiovascular risk. The project will identify molecular mechanisms common to mental disorders and unhealthy lifestyles that increase the risk of cardiovascular disease. We will take advantage of our genotyped biobank samples united with large national registries with information about disease trajectories and comorbidity in over 1.8 million people. The “big data” available to CoMorMent means that we can apply new statistical tools to discover novel sequence variants conferring risk of both mental disorders and cardiovascular diseases and determine how these may be mediated by lifestyle or behaviour. We will characterize the underlying mechanisms by identifying accompanying structural brain changes and body fat composition from MRI data in combination with gene expression and functional studies. The CoMorMent multidisciplinary expert team in clinical science (cardiology, psychiatry), genetic epidemiology, molecular genetics, and neuroscience combined with experts in machine learning and computation will generate findings that will form the basis of novel stratification and prediction tools, which will be tested and validated in clinical samples. Thus, CoMorMent will form the basis for a new approach in clinical studies by providing precision medicine tools for clinical implementation to remediate a major public health issue.

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The information about "COMORMENT" are provided by the European Opendata Portal: CORDIS opendata.

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