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: | Serena McCalla |
| Institution: | Jericho High School |
| Department: | Science Research |
| Country: | |
| Proposed Analysis: | The doubled prevalence and increased risk for development of Alzheimer’s Disease (AD) in females are attributed to the process of menopause. However, despite the abundance of data produced by GWA studies, genetic risk for AD has not been examined in the context of menopause. The exact mechanisms of menopause in AD pathogenesis have not been fully elucidated, with genomic analysis being capable of producing results that may assist in crystallizing this paucity in research. Identification of sex-specific contributors to AD can advance our understanding of AD pathogenesis, providing opportunities for advancement in diagnostics and therapeutics.
Specific steps for analysis include:
1. Available WGS data will be divided into three plans: plan 1 - all samples, plan 2 - females only, plan 3 - males only
2. Quality control will be performed with PLINK
3. Population stratification will be accounted for by implementing top principal components from principal component analysis as covariates
4. Association between SNPs and AD will be quantified with logistic regression in PLINK
5. Significance threshold p<5E–08; suggestive threshold: 5E–08 |
| Additional Investigators |
