Polygenic Risk Score Calculator

Simple additive actual aligned allele dosage×external variant weights PRSsum, not absolute individual risk, ancestry portable predictor or variant weight estimation. Actual independently matched observations/units and protocol, not diagnosis, causal mechanism, clinical decision or validated individual prediction.

Description

An additive polygenic score sums aligned effect-allele dosages multiplied by externally established weights.

An additive polygenic score sums aligned effect-allele dosages multiplied by externally established weights.^[1]

This tool calculates that sum without estimating absolute individual risk or validating ancestry portability.

When to use Polygenic Risk Score Calculator

This tool calculates that sum without estimating absolute individual risk or validating ancestry portability.

How to use Polygenic Risk Score Calculator and how it works

Prepare aligned effect allele dosages, externally validated variant weights, using the input definitions and matching units below.
Enter the required fields and run Polygenic Risk Score Calculator.
Read result.value using the units, signs and ordering explained below.
Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.

Input field	Meaning	Value type	Requirement
actualAlignedEffectAlleleDosages	Actual Aligned Effect Allele Dosages. Use the units and matching context stated in the calculation below.	array of number	Required; other constraints below
callerExternallyValidatedVariantWeights	Caller Externally Validated Variant Weights. Use the units and matching context stated in the calculation below.	array of number	Required; other constraints below

Require nonempty aligned allele-dosage and weight arrays. Dosages must lie from 0 to 2 inclusive; fractional dosages are accepted. Weights are finite and may be signed. Sum dosage times weight without intercept, probability conversion, ancestry correction or weight estimation.

additiveScore=sum(effectAlleleDosage_i*externalWeight_i)

Apply the input ordering, units and branch conditions stated above.

Output field	Meaning	Value type
result	Object containing the calculated or selected fields below.	object
result.value	Numeric model result on the ratio, score, constant or density basis explained above.	number

json

{
  "input": {
    "actualAlignedEffectAlleleDosages": [
      1,
      2
    ],
    "callerExternallyValidatedVariantWeights": [
      0.1,
      0.2
    ]
  },
  "output": {
    "result": {
      "value": 0.5
    }
  }
}

Limitations and assumptions

The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.

All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.

Alternative or Complementary methods

Use IQ Heritability Calculator for a complementary operation: Falconer's twin illustration compares monozygotic and dizygotic within-pair correlations under strong population-model assumptions.

Use Neuroimaging Power Analysis Calculator for a complementary operation: Neuroimaging power depends on effect, variance, design, test family and spatial assumptions.

References

Polygenic Risk Score Calculator — tool.io

Similar or alternative tools

IQ Heritability Calculator
Falconer's twin illustration compares monozygotic and dizygotic within-pair correlations under strong population-model assumptions.
Neuroimaging Power Analysis Calculator
Neuroimaging power depends on effect, variance, design, test family and spatial assumptions.