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: | Xuefei Yang |
| Institution: | Simon Fraser University |
| Department: | Statistics |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease (AD) is a pressing public-health challenge. In this project, we explore the relationship between AD and genes by analyzing data from 179 cognitively normal individuals. The data contain magnetic resonance imaging measures in 56 brain regions of interest and alternate allele counts of 510 single nucleotide polymorphisms (SNPs) obtained from 33 candidate genes for AD, provided by the AD Neuroimaging Initiative (ADNI). Our objectives are to explore the data structure and prioritize interesting SNPs. Using standard linear regression models is inappropriate in this research context, because they cannot account for sparsity in the SNP effects and the spatial correlations between brain regions. Thus, we review and apply the method of covariance-adjusted, sparse, reduced-rank regression (Cov-SRRR) that simultaneously performs variable selection and covariance estimation to the data of interest. In our findings, SNP rs16871157 has the highest variable importance probability (VIP) in bootstrapping. Also, the estimated associations corresponding to the thickness measures of the temporal lobe area have largest absolute values and are negative,which is consistent with current AD research. |
| Additional Investigators |
