There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Baptiste Couvy-Duchesne |
| Institution: | Institute of Molecular Bioscience |
| Department: | Program for complex trait genetics |
| Country: | |
| Proposed Analysis: | We aim at identifying factor influencing advanced brain aging. To do this, we have used the UK Biobank imaging data to construct a predictor of brain age from T1 and T2 structural scans. We would like to apply this score in the AIBL, ADNI and ADNIDOD datasets. The difference between predicted brain age and real age of the participants will be used to quantify advanced brain aging. We will correlate this difference to a range of phenotypes available in all or part of the samples (e.g. physical activity, Alzheimer's status, history of mental health, cognition...). Do to the limited power of such design, we would need the largest sample available, which is why we request access to AIBL, ADNI and ADNIDOD. |
| Additional Investigators | |
| Investigator's Name: | Jian Yang |
| Proposed Analysis: | Analyse the genetic data in conjunction with the disease and biomarker variables. The objectives are to enrich the current genetic analyses of neurological traits as well as to apply and evaluate genetic prediction scores to the ADNI sample. |
| Investigator's Name: | Qian Zhang |
| Proposed Analysis: | Analyse the genetic data in conjunction with the disease and biomarker variables. The objectives are to enrich the current genetic analyses of neurological traits as well as to apply and evaluate genetic prediction scores to the ADNI sample. |
| Investigator's Name: | Naomi Wray |
| Proposed Analysis: | Analyse the genetic data in conjunction with the disease and biomarker variables. The objectives are to enrich the current genetic analyses of neurological traits as well as to apply and evaluate genetic prediction scores to the ADNI sample. |
| Investigator's Name: | Sonia Shah |
| Proposed Analysis: | Analyse the genomics datasets in conjunction with the disease and biomarker variables. The objectives are to enrich the current genetic analyses of neurological traits as well as to apply and evaluate genetic prediction scores to the ADNI sample. |
| Investigator's Name: | Peter Visscher |
| Proposed Analysis: | Analyse the genetic data in conjunction with the disease and biomarker variables. The objectives are to enrich the current genetic analyses of neurological traits as well as to apply and evaluate genetic prediction scores to the ADNI sample. |
| Investigator's Name: | Baptiste Criniere-Boizet |
| Proposed Analysis: | Combine genetic and MRI prediction to enhance prediction accuracy of Alzheimer's risk, including conversion |
| Investigator's Name: | Allan McRae |
| Proposed Analysis: | Methylation and brain studies or neurodegenerative diseases |
| Investigator's Name: | Tian Lin |
| Proposed Analysis: | Genomics and genetic studies of Alzheimer's and neurodegenerative disorders |
| Investigator's Name: | Fleur Garton |
| Proposed Analysis: | Genetic and genomic studies of neurodegenerative disorders. |
| Investigator's Name: | Futao Zhang |
| Proposed Analysis: | Genetic and genomics studies of neurodegenerative disorders |
