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Home›Genetics›Transmission Disequilibrium Test
Process / pipelineFamily-based association tests

Transmission Disequilibrium Test

Transmission Disequilibrium Test for Family-based Association Analysis · Also known as: TDT, Family-based association test

The Transmission Disequilibrium Test (TDT) is a family-based statistical method for testing genetic association with disease or traits while inherently controlling for population stratification. Developed by Spielman and Ewens in 1993, the TDT examines whether an allele is preferentially transmitted from heterozygous parents to affected children compared to unaffected children. By comparing transmission patterns within families, the TDT avoids the confounding effects of population structure that plague case-control studies, making it particularly valuable in admixed or stratified populations.

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Transmission Disequilibrium Test
F-statistics (FST)IBD MappingPolygenic Risk ScoreQTL Mapping

When to use it

Use TDT when you have family pedigree data with affected children and can genotype parents. TDT is especially valuable in populations with known or suspected stratification (admixed populations, case-control recruitment from multiple sources). Avoid TDT if parental genotypes are unavailable or when studying diseases with late onset (parents may be unavailable). TDT is less powerful than case-control studies in large homogeneous populations but more robust to stratification.

Strengths & limitations

Strengths
  • Inherently immune to population stratification and admixture artifacts
  • Tests for true genetic association, not association due to ancestry differences
  • Relatively simple to perform with basic pedigree data
  • Can be combined with case-control data for increased power (via hybrid designs)
  • Can be extended to test multiple relatives (FBAT) or quantitative traits
Limitations
  • Requires family data and parental genotypes, limiting applicability
  • Lower statistical power than large case-control studies
  • Cannot use cases without available parents (reduces sample size)
  • Assumes Mendelian inheritance; non-Mendelian transmission distortion violates assumptions
  • Computationally less efficient than case-control approaches for genome-wide scanning

Frequently asked

What is the difference between the TDT and case-control association testing?

Case-control studies compare allele frequencies between affected and unaffected individuals from the population. TDT compares allele transmission patterns within families. TDT is immune to population stratification, while case-control studies are vulnerable unless stratification is controlled statistically.

Why do only heterozygous parents contribute to the TDT?

Homozygous parents transmit only one allele type to offspring, providing no information about relative transmission rates. Only heterozygous parents can transmit either allele, allowing comparison of transmission frequencies between affected and unaffected children.

Can the TDT detect protective alleles?

Yes. A protective allele would show reduced transmission to affected children compared to unaffected children. The TDT statistic captures both risk and protective effects, though the interpretation is opposite (reduced transmission indicates protection).

How many families are needed for adequate TDT power?

Power depends on allele frequency, penetrance, and effect size. For moderate effect sizes, 100–500 informative families (with heterozygous parents and affected offspring) are often needed. Larger sample sizes improve power dramatically. Computer simulation can estimate required sample size for specific scenarios.

Sources

  1. Spielman, R. S., McGinnis, R. E., & Ewens, W. J. (1993). Transmission test for linkage disequilibrium. American Journal of Human Genetics, 52(3), 506–516. link ↗
  2. Sham, P. C. (1998). Statistics in human genetics. London: Arnold. link ↗
  3. Laird, N. M., & Lange, C. (2006). Family-based designs in the age of large-scale gene-association studies. Nature Reviews Genetics, 7(5), 385–394. DOI: 10.1038/nrg1839 ↗

How to cite this page

ScholarGate. (2026, June 3). Transmission Disequilibrium Test for Family-based Association Analysis. ScholarGate. https://scholargate.app/en/genetics/transmission-disequilibrium-test

Related methods

F-statistics (FST)IBD MappingPolygenic Risk ScoreQTL Mapping

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

  • F-statistics (FST)Genetics↔ compare
  • IBD MappingGenetics↔ compare
  • Polygenic Risk ScoreGenetics↔ compare
  • QTL MappingGenetics↔ compare
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Referenced by

Polygenic Risk ScoreQTL Mapping

Similar methods

Genome-wide association studyLD Block AnalysisF-statistics (FST)IBD MappingAdmixture AnalysisMendelian RandomizationCase-Control Study DesignMachine learning-assisted genome-wide association study

Related reference concepts

Population Stratification and AdmixtureLinkage DisequilibriumLinkage Disequilibrium and SNP TaggingPopulation Stratification and Human Genetic DiversityPopulation Stratification and Ancestry in GWASGenome-Wide Association Studies and Variant Discovery

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Transmission Disequilibrium Test (Transmission Disequilibrium Test for Family-based Association Analysis). Retrieved 2026-07-21 from https://scholargate.app/en/genetics/transmission-disequilibrium-test · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Richard Spielman & Warren Ewens
Subfamily
Family-based association tests
Year
1993
Type
Hypothesis test
Related methods
F-statistics (FST)IBD MappingPolygenic Risk ScoreQTL Mapping
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