Generation Skip
Count generations between exposure and observed effect.
Description
Generation distance describes a pedigree; exposure history is essential to interpret transgenerational effects.
Generation distance describes a pedigree; exposure history is essential to interpret transgenerational effects.1
Count generations between exposure and observed effect.
When to use Generation Skip
Use this tool to count generations between exposure and observed effect.
Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.
How to use Generation Skip and understand its results
- Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.
- Enter ancestorGeneration, descendantGeneration using the field table and calculation rules, then run the tool.
- Read generationGap, transgenerational. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| ancestorGeneration | Exposed ancestor generation | integer; minimum: 0 | Required |
| descendantGeneration | Observed descendant generation | integer; minimum: 0 | Required |
Enter ordered nonnegative integer generations; return gap and the operational two-generation flag.
gap=descendant−ancestor; transgenerational=gap≥2 Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| generationGap | Generation gap | integer; minimum: 0 |
| transgenerational | Transgenerational | boolean |
{
"input": {
"ancestorGeneration": 0,
"descendantGeneration": 2
},
"output": {
"generationGap": 2,
"transgenerational": true
}
}Limitations and assumptions
No direct gestational/germ-cell exposure, ancestry or inherited mechanism is assessed.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.
Alternative or Complementary methods
Use Epimutation Rate: Estimate epimutation rate per site and generation. For a complementary task, use Epigenetic Age Residual: Calculate and classify epigenetic age acceleration.
References
-
Generation Skip — tool.io
Similar or alternative tools
- Epimutation Rate
Estimate epimutation rate per site and generation.
- Epigenetic Age Residual
Calculate and classify epigenetic age acceleration.