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: | Xiaojian shao |
| Institution: | National Research Council Canada |
| Department: | Digital Technologies Research Center |
| Country: | |
| Proposed Analysis: | We will try and compare different normalization approaches (such as funnorm or funtooNorm functions etc.) to normalize all collected DNA methylation array data. Meta-analysis methods will also be tried to minimize the effects of methylation data obtained from different platforms for measurement of DNA methylation. We will apply elastic net or gradient boosting regressor (XGBoost) to build different epigenetic clocks (DNAm-age predictor). In addition, we will use the DendroNet approach (PMID: 33381838) to account for potential differences between gender or ethnicity. We will apply the constrained instrumental variable analysis (PMID: 30635941) or directed acyclic graph-based approaches to infer the causal relationships between DNAm-age acceleration (the difference between DNAm-age and chronological age) and AD. |
| Additional Investigators | |
| Investigator's Name: | Celia Greenwood |
| Proposed Analysis: | We will try and compare different normalization approaches (such as funnorm or funtooNorm functions etc.) to normalize all collected DNA methylation array data. Meta-analysis methods will also be tried to minimize the effects of methylation data obtained from different platforms for measurement of DNA methylation. We will apply elastic net or gradient boosting regressor (XGBoost) to build different epigenetic clocks (DNAm-age predictor). In addition, we will use the DendroNet approach (PMID: 33381838) to account for potential differences between gender or ethnicity. We will apply the constrained instrumental variable analysis (PMID: 30635941) or directed acyclic graph-based approaches to infer the causal relationships between DNAm-age acceleration (the difference between DNAm-age and chronological age) and AD. |
| Investigator's Name: | Mathieu Blanchette |
| Proposed Analysis: | We will try and compare different normalization approaches (such as funnorm or funtooNorm functions etc.) to normalize all collected DNA methylation array data. Meta-analysis methods will also be tried to minimize the effects of methylation data obtained from different platforms for measurement of DNA methylation. We will apply elastic net or gradient boosting regressor (XGBoost) to build different epigenetic clocks (DNAm-age predictor). In addition, we will use the DendroNet approach (PMID: 33381838) to account for potential differences between gender or ethnicity. We will apply the constrained instrumental variable analysis (PMID: 30635941) or directed acyclic graph-based approaches to infer the causal relationships between DNAm-age acceleration (the difference between DNAm-age and chronological age) and AD. |
| Investigator's Name: | Bianca Granato |
| Proposed Analysis: | Bianca Granato is a PhD student in Quantitative Life Sciences program of McGill University, under the supervision of Dr. Greenwood. She will be the student who perform the data analysis for this project. |
| Investigator's Name: | Bowei Xiao |
| Proposed Analysis: | Bowei will perform the DNA methylation association analysis with the cerebrospinal fluid levels (A/T/N) in the ADNI cohort, and further build deep learning models to predict A/T/N based on the DNA methylation signals. |
