TDT Power Calculator

TDT Power Calculator computes statistical power for the Transmission Disequilibrium Test (TDT) in nuclear family-based genetic analyses to evaluate power under diverse family configurations, marker-locus scenarios (including when the marker locus is not a disease susceptibility locus), and allelic heterogeneity.


Key Features:

  • Analytical Precision: Employs a novel analytical approach to compute TDT power, with accuracy equivalent or superior to computer simulations as validated against several recent studies.
  • Versatility in Family Configurations: Models families with one or multiple children across configurations of affected and unaffected siblings, families ascertained through parental affection status, and mixed samples containing combinations of these family types.
  • Marker Locus Flexibility: Handles scenarios where the marker locus is not the disease susceptibility locus, allowing evaluation of marker–disease linkage under indirect association.
  • Allelic Heterogeneity Consideration: Accounts for allelic heterogeneity in power calculations to reflect multiple causal variant scenarios.

Scientific Applications:

  • Theoretical evaluation: Enables theoreticians to investigate TDT statistical power across complex inheritance models and family-ascertainment schemes.
  • Study design for empirical geneticists: Informs empirical geneticists in designing family-based association studies by quantifying power under specific family compositions, marker scenarios, and allelic heterogeneity.

Methodology:

Implements a novel analytical approach to compute TDT power and validates results by comparison to computer simulations and several recent studies.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Added:
8/3/2017
Last Updated:
11/24/2024

Operations

Publications

Chen W, Deng H. A general and accurate approach for computing the statistical power of the transmission disequilibrium test for complex disease genes. Genetic Epidemiology. 2001;21(1):53-67. doi:10.1002/gepi.1018. PMID:11443734.

Documentation

Links