Multimodal Brain Imaging – Gene Relationships in Alzheimer Disease: Risk and Resilience
Location: Spain
Source: EU Funding & Tenders Portal
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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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | 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 |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
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