Dominant Generation Pedigree Pattern
Summarize consecutive affected pedigree generations as evidence consistent with vertical inheritance.
Description
Affected individuals in consecutive pedigree generations form a vertical pattern.
Affected individuals in consecutive pedigree generations form a vertical pattern. Summarizing that pattern can guide inheritance review without proving dominance.1
Summarize consecutive affected pedigree generations as evidence consistent with vertical inheritance.
When to use Dominant Generation Pedigree Pattern
Use this for the following task: Summarize consecutive affected pedigree generations as evidence consistent with vertical inheritance.
Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.
How to use Dominant Generation Pedigree Pattern and understand its results
- Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.
- Enter generationIndexes, affectedFlags using the field table, then run the tool.
- Read affectedGenerations, longestAffectedRun, verticalPattern. Interpret flags, units, ordering and placeholder values using the rules below.
- Review any reported issue or failed check, correct the supplied values when appropriate, and verify the result in its intended context.
| Input field | Meaning | Value type and bounds | Requirement |
|---|---|---|---|
| generationIndexes | Generation indexes | list of number; each entry: number | Required |
| affectedFlags | Affected flags | list of number; each entry: number | Required |
Align nonnegative integer generations with numeric 0/1 affected flags. Deduplicate and sort affected generations, then count the longest consecutive run.2
verticalPattern = longest consecutive affected-generation run ≥ 2 This summarizes the declared operation. Units, indexing, inclusivity and exceptional cases are explained in the surrounding text.
| Output field | Meaning | Value type |
|---|---|---|
| affectedGenerations | Affected generations | list of number |
| longestAffectedRun | Longest affected run | number |
| verticalPattern | Vertical pattern | boolean |
{
"input": {
"generationIndexes": [
0,
1,
2,
2
],
"affectedFlags": [
1,
1,
1,
0
]
},
"output": {
"affectedGenerations": [
0,
1,
2
],
"longestAffectedRun": 3,
"verticalPattern": true
}
} Limitations and assumptions
Family relationships, penetrance and ascertainment are absent. Multiple affected people in one generation do not increase the run length.
The tool evaluates supplied observations or a declared model. It does not establish the biological cause of an observed pattern. Malformed requests produce input errors. A successfully evaluated request can still contain false flags, empty result lists or a result outside the supplied threshold; those outcomes have the meanings stated above.
Alternative or Complementary methods
Choose Recessive Sibling Pedigree Pattern for this operation: Locate affected-sibling clusters with unaffected parents; pattern evidence is not proof of recessive inheritance. For a complementary task, use X Dominant Daughter Evidence for this operation: Audit affected-father daughter observations against a fully penetrant X-dominant model.
Further background: Inheritance patterns.
References
-
Inheritance patterns — National Library of Medicine
-
Dominant Generation Pedigree Pattern — tool.io
Similar or alternative tools
- Recessive Sibling Pedigree Pattern
Locate affected-sibling clusters with unaffected parents; pattern evidence is not proof of recessive inheritance.
- X Dominant Daughter Evidence
Audit affected-father daughter observations against a fully penetrant X-dominant model.