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: | Shunyao Wu |
| Institution: | Qingdao University |
| Department: | College of Computer Science & Technology |
| Country: | |
| Proposed Analysis: | In recent years, large-scale interaction data emerged in life science have provided new challenges and opportunities for genome-wide association analysis on complex diseases. Although some studies have attempted to utilize metabolic pathways to guide genome-wide association analysis, association studies of complex diseases based on multiple interaction data is still in a preliminary stage. Therefore, this project intends to formulate multiple interactions as multilayer biomolecular network and study topology similarity assessment methods for multilayer biomolecular network. Potential gene interactions are discovered by from SNP data according to topology similarities of multilayer biomolecular network. Then, this project extracts low-dimensional latent factors of each layer by studying the new structure decomposition with structural features, and constructs regression between gene interaction layer and other layers so as to generate candidate gene interactions. Finally, this project employs generalize single index model to construct the association between genotype and phenotype by setting model interaction term according to candidate gene interactions, and examines the significance of discovered disease gene interaction through hypothetical test and configuration model. This project can widen the scope of genome-wide association analysis, promote the development of structure analysis and modeling in multilayer networks, and has important practical values in many fields including precision medicine and precision health. |
| Additional Investigators |
