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CoMorMent

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Cerrado

Predicting comorbid cardiovascular disease in individuals with mental disorder b...

Predicting comorbid cardiovascular disease in individuals with mental disorder by decoding disease mechanisms 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 th... ver más

31/12/2024

Innovasjon Norge

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

Innovasjon Norge No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 10 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-12-31

SC1-BHC-01-2019: Understanding causative mechanisms...

I+D

Cerrada hace 6 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

10 Participantes

Innovasjon Norge

1.52M€ | Lider

DECODE GENETICS EHF

818.75K€ | Participante

CORTECHS LABS INC

667.80K€ | Participante

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Duración del proyecto: 61 meses Fecha Inicio: 2019-11-21
Fecha Fin: 2024-12-31

Líder del proyecto

Innovasjon Norge No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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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