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: | Lingling Zheng |
| Institution: | University of Macau |
| Department: | Department of Computer and Information Science |
| Country: | |
| Proposed Analysis: | GWAS are widely applied into disease risk prediction. The basic principle of the analysis of GWAS is based on testing each genome individually for statistical significantly associated with the phenotype. However, evidence of epistatic (interactions between genetic variants) have been approved for human diseases, suggesting that discovering more potential interactions between genetic variants could improve the power of disease risk prediction model. Due to the development of the graph convolutional network methods, it contributes to deal with large complex network data. We assume that there might be a complex network relationship between SNPs. Therefore, We would propose GCN genomics approach and apply it to discriminate Alzheimer's disease (AD) patients and health control. |
| Additional Investigators | |
| Investigator's Name: | Zhiguo Gong |
| Proposed Analysis: | GWAS are widely applied into disease risk prediction. The basic principle of the analysis of GWAS is based on testing each genome individually for statistical significantly associated with the phenotype. However, evidence of epistatic (interactions between genetic variants) have been approved for human diseases, suggesting that discovering more potential interactions between genetic variants could improve the power of disease risk prediction model. Due to the development of the graph convolutional network methods, it contributes to deal with large complex network data. We assume that there might be a complex network relationship between SNPs. Therefore, We would propose GCN genomics approach and apply it to discriminate Alzheimer's disease (AD) patients and health control. |
