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: | Kesheng Wang |
| Institution: | West Virginia University |
| Department: | Department of Family and Community Health |
| Country: | |
| Proposed Analysis: | We will use the genome-wide association studies (GWAS) data, the whole genome sequence (WGS) data, CNV markers and other biomarkers to identify common and rare variants influencing Alzheimer’s disease (AD), mild cognitive impairment (MCI), cognitive assessment and other phenotypes. Specific aims of this project: (1) To perform population-based GWAS, CNV, and WGS analyses of risk and age at onset of AD and MCI, biomarkers, behavioral and clinical phenotypes. (2) To identify common and rare variants for the risk, age at onset and other phenotypes. (3) To detect disparities and conduct gene-based, pathway-based and network-based analyses. (4) To develop advanced statistical methods such as survival models, mixed models, and longitudinal data analyses. |
| Additional Investigators | |
| Investigator's Name: | Chun Xu |
| Proposed Analysis: | Dr. Xu is interested in clinical study, CSF and plasma biomarkers, and epidemiological, genetic and genomic studies including GWAS, proteinomic and metabolomic biomarkers. |
| Investigator's Name: | Danqing Xiao |
| Proposed Analysis: | Dr. Xiao is interested in imaging analysis including MRI, DTI data, and also genetic and genomic data. |
