Hardy Weinberg Assumption Audit

Audit caller-assessed Hardy–Weinberg assumptions without testing observed genotype equilibrium.

Description

Hardy–Weinberg assumptions describe an ideal population model.

Hardy–Weinberg assumptions describe an ideal population model. A checklist of caller-assessed conditions differs from testing observed genotype proportions.

Audit caller-assessed Hardy–Weinberg assumptions without testing observed genotype equilibrium.

When to use Hardy Weinberg Assumption Audit

Use this for the following task: Audit caller-assessed Hardy–Weinberg assumptions without testing observed genotype equilibrium.

Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.

How to use Hardy Weinberg Assumption Audit and understand its results

  1. Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.
  2. Enter randomMating, largePopulation, noMigration, noMutation, noSelection using the field table, then run the tool.
  3. Read violatedAssumptions, assumptionsSatisfied. Interpret flags, units, ordering and placeholder values using the rules below.
  4. Review any reported issue or failed check, correct the supplied values when appropriate, and verify the result in its intended context.
Input fieldMeaningValue type and boundsRequirement
randomMatingRandom matingbooleanRequired
largePopulationLarge populationbooleanRequired
noMigrationNo migrationbooleanRequired
noMutationNo mutationbooleanRequired
noSelectionNo selectionbooleanRequired

Supply booleans for random mating, large population, no migration, no mutation and no selection. Return false-condition labels in fixed checklist order.1

assumptionsSatisfied = all five supplied flags true

This summarizes the declared operation. Units, indexing, inclusivity and exceptional cases are explained in the surrounding text.

Output fieldMeaningValue type
violatedAssumptionsViolated assumptionslist of string
assumptionsSatisfiedAssumptions satisfiedboolean
json
{
  "input": {
    "randomMating": true,
    "largePopulation": true,
    "noMigration": false,
    "noMutation": true,
    "noSelection": true
  },
  "output": {
    "violatedAssumptions": [
      "no-migration"
    ],
    "assumptionsSatisfied": false
  }
}

Limitations and assumptions

The tool does not estimate allele frequencies or perform an equilibrium statistical test.

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 Population FST for this operation: Compute heterozygosity-based FST from population allele frequencies and explicit weights. For a complementary task, use Island Model Gene Flow for this operation: Estimate Nm from FST under the equilibrium diploid island model, not a direct migration measurement.

The implementation reference documents the exact calculation, supported input shapes and returned fields.

References

  1. Hardy Weinberg Assumption Audit — tool.io

Similar or alternative tools

  • Population FST

    Compute heterozygosity-based FST from population allele frequencies and explicit weights.

  • Island Model Gene Flow

    Estimate Nm from FST under the equilibrium diploid island model, not a direct migration measurement.

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