This website provides two analysis modes:

1. Group Comparison: Define groups based on health examination data and compare their eccDNA profiles.
2. Specific eccDNA Analysis: Select a specific eccDNA to investigate differences in health metrics between carriers and non-carriers, along with associated lifestyle factors.

You can switch between these modes using the button at the top center of the page.

1. Create groups by clicking the '+' button
   
   • Create One Group: If you create a single group, the system will compare it with its complementary group (i.e., the rest of the population).
     One Group Example
   • Create Two Groups: If you create two groups, the system will compare these two specified groups.
     Two Group Example
2. Filter groups by defining health data ranges
   • Set the ranges for health examination metrics to define each group.
   • The right panel of the page provides a preview of the proportion of participants in each group.
   
3. Click 'Analyze' to examine group distributions
   • Click the 'Analyze' button on the right panel to generate and review the distribution of eccDNA in both groups, including any overlap between them.
   
4. View the results through ECDF and Top-K visualizations
   • Use the ECDF plot to observe differences in eccDNA size distribution.
   • The Top-K plot highlights the most prevalent eccDNAs in each group, allowing for further comparison.
   • Participants present in both groups (overlapping individuals) are excluded from the Top-K analysis to ensure a clear distinction between the groups.
   • If a group contains fewer than 15 participants after overlap removal, the system will not display results to prevent potential re-identification of individuals.

1. Enter a genomic coordinate range and click 'Search'
   • The system will list all eccDNAs found within the specified range.
   
2. Select an eccDNA from the listed results
   • "Prevalence" indicates the proportion of individuals carrying the selected eccDNA.
   • If an eccDNA is displayed in red, it means a significant eccDNA-Health association has been identified.
   
3. Examine the association between eccDNA and health metrics
   • Compare health examination data between eccDNA carriers and non-carriers to identify statistically significant differences.
   • Statistical analyses are based on 1,094 participants.
4. Explore the association between health metrics and lifestyle factors
   • Investigate lifestyle habits associated with health metrics that show significant differences.
   • Statistical analyses are based on 142,906 participants. Due to the large dataset, P-values are generally small.
   eccDNA Analysis Example