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Multimodal Brain Imaging – Gene Relationships in Alzheimer Disease: Risk and Resilience

Location: Spain

Source: EU Funding & Tenders Portal

Project
Ended

The list of genes contributing to increased risk of developing Alzheimer’s Disease (AD) grows every year. To date, large case-control Genome-Wide Association Studies have found 98 genetic loci associated with late-onset Alzheimer's Disease (LOAD). However, apart from a small number of genes related to familial cases, it remains largely unknown the direct relationships between genes amyloid-β and t

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The project “Multimodal Brain Imaging – Gene Relationships in Alzheimer Disease: Risk and Resilience” is an infrastructure initiative, located in Spain. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Description

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The list of genes contributing to increased risk of developing Alzheimer’s Disease (AD) grows every year. To date, large case-control Genome-Wide Association Studies have found 98 genetic loci associated with late-onset Alzheimer's Disease (LOAD). However, apart from a small number of genes related to familial cases, it remains largely unknown the direct relationships between genes amyloid-β and tau misfolding protein accumulation (hallmark of AD), and neurodegeneration of the human brain. Even more striking, current knowledge of mutations potentially conferring genetic resilience is sparse. A better characterization of each genetic risk loci and identification of protective genetic variants could lead to development of effective therapeutical targets, actually unavailable for AD. The goal of this project is to characterize associations between the 98 LOAD genetic risk loci, in vivo tau and amyloid-ß PET, and MRI neurodegeneration – including an examination of potential genetic variants conferring disease resilience. Hypotheses: genetic loci will show distinct spatial patterns of tau and amyloid-ß spreading and neurodegeneration, helping us to better understand AD biological heterogeneity. I expect to find different subtypes of AD with different molecular mechanism and different therapeutical targets for each subtype. I will use PET imaging of ~3,000 participants from the Harvard Aging Brain Study, and the A4 and ADNI databases. ~35,000 participants from the UK Biobank with genetic and functional and structural MRI will also be used to study the impact of genetic loci on neurodegeneration. Importantly, as a first analysis, we will search for the effects of each risk loci and protective variants conferring resilience; secondary analyses will also explore the contributions of sex and ethnic minority factors

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High

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100%

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