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: | Ji-Yuan Zhou |
| Institution: | Southern Medical University |
| Department: | Department of Biostatistics |
| Country: | |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Additional Investigators | |
| Investigator's Name: | Kai-Wen Wang |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Bin Zhu |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Yu-Xin Yuan |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Yi-Fang Wei |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Yi Zhang |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Fan-Shuo Meng |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Jing-Xuan Wang |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Shun Zhang |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
| Investigator's Name: | Jing-Kai Wang |
| Proposed Analysis: | We plan to use Alzheimer’s Disease Neuroimaging Initiative (ADNI) data to conduct data analysis to discover biomarkers which can better identify Alzheimer's Disease (AD) or the single nucleotide polymorphisms (SNPs) which are strongly associated with AD or these biomarkers. Such investigation is sorely needed to identify AD in the early stage of the patient's affection status and treat it promptly. 1. Research objectives • Discover potential biomarkers related to AD. • Identify the SNPs highly associated with AD through genome-wide association analysis (GWAS), irrespective of autosomal loci or X-chromosomal loci. 2. Analysis plan • If the SNPs are on the X chromosome, we will consider X chromosome inactivation and the measures of the skewness of X-chromosome inactivation. • Analyze the development process of AD through longitudinal research. • Conduct transcriptome-wide association study (TWAS). • Investigate the relationship between the image data and the AD through functional principal component analysis. |
