To select a different set of CpGs
- to change significance level: double click on the numbers in the Threshold column
We collated results from recent epigenome-wide association studies in aging and AD and developed MIAMI-AD, an integrative database of blood DNAm across sex, aging, and AD. Researchers can search for CpGs, regions, or genes of their interests to benefit from recent scientific advances. In the following, we use studies to refer to research publications and datasets to refer to the resulting summary statistics from the studies.
Several queries are provided:
(1) Genome-wide Query enables selection of CpGs based on significance threshold or location; it provides:
(2) Gene Query provides an overview of CpGs associated with a specific gene or region including:
(3) CpG Query provides detailed information on specific CpGs including:
(4) Epigenetic Clocks Query enables
If you find MIAMI-AD helpful, please cite our paper:
Lukacsovich D et al. (2024) MIAMI-AD (Methylation in Aging and Methylation in AD): an integrative knowledgebase that facilitates explorations of DNA methylation across sex, aging, and Alzheimer's disease. Oxford Academic
MIAMI-AD included studies that met two main criteria: (1) having more than 100 total subjects and (2) conducting a genome-wide study of more than 100k CpGs. For each study, we included as many CpGs as possible, either CpGs that passed quality control or CpGs listed in supplementary tables.
Please see HERE for details on the studies included in MIAMI-AD.
If you use MIAMI-AD, you agree to:
This project is supported by funding from NIH grants RF1AG061127, RF1NS128145, and R01AG062634.
MIAMI-AD ( https://miami-ad.org ) is a web application developed using the Shiny platform 1-3 . The web interface is organized into four main sections, Genome-wide Query, Gene Query, CpG Query, and Epigenetic Clock Query . Each of these sections is further divided into three subsections,
The source code for MIAMI-AD is available at https://github.com/TransBioInfoLab/MIAMI.AD .
Designed to allow users to select CpGs across all chromosomes based on a significance threshold, this tool is valuable for comparing association results from one or more studies. Figure 1 illustrates the workflow of the Genome-wide Query:
This tool provides detailed information on DNAm differences within a specific gene or genomic region.
This tool offers information about specific CpGs of interest ( Figure 3 ) To use this tool,
This tool serves the purpose of comparing with and selecting CpGs that have been utilized in constructing blood-based epigenetic clocks ( Figure 4 ). It incorporates the widely described pan-tissue clock by Horvath (2013) 7 , as well as the recently developed DunedinPACE clock, which is associated with the risk of dementia onset 8 , among others. To use the Epigenetic Clock tool,
Lukacsovich D et al. (2023) MIAMI-AD (Methylation in Aging and Methylation in AD): an integrative atlas of DNA methylation across sex, aging, and Alzheimer's disease. medRxiv
Please also cite the original study papers in which the results were obtained.
To select a different set of CpGs
- to change significance level: double click on the numbers in the Threshold column
For questions, comments, or to contribute to MIAMI-AD, please contact us at:
Lily Wang ( lily.wang@miami.edu ) or David Lukacsovich ( david.lukacsovich@miami.edu )
To contribute your publication's data to MIAMI-AD, please send the Metadata of publication and CpG Summary Statistics and/or DMR Summary Statistics files below to the contact information. Since data files can be large, please upload them to an online storage site (e.g., Dropbox, Google Drive, or Box), and share the download link with us.
If your study includes results for multiple phenotypes or subgroups (e.g., you analyzed male and female samples separately), then please save the results as separate metadata and summary statistics files.
Published studies in MAIMI-AD meet three criteria:
Please provide the following information about your publication:
Please provide summary statistics in a (preferably compressed) text file (e.g., .csv, .csv.gz, .tsv.gz), with the following columns:
Example:
Please provide summary statistics in a text file (e.g., .csv, .tsv), with the following columns:
Example: