A regression based transmission/disequilibrium test for binary traits: the power of joint tests for linkage and association
2005

Testing Genetic Links to Kofendred Personality Disorder

Sample size: 100 publication Evidence: moderate

Author Information

Author(s): Emma K Larkin, Kevin C Cartier, Courtney Gray-McGuire

Primary Institution: Case Western Reserve University

Hypothesis

Can a regression-based transmission disequilibrium test effectively detect linkage and association for binary traits like Kofendred Personality Disorder?

Conclusion

The method's power to detect genetic links is highly dependent on the density of markers and sample size.

Supporting Evidence

  • The maximum power to detect linkage was 93% for chromosome 3 using a 0.3-cM map.
  • Type I error was approximately 7%.
  • Power increased with larger sample sizes, reaching 100% for chromosome 3 at the finest density.

Takeaway

This study looked at how well a new test can find genetic links to a mental health disorder using different amounts of genetic data.

Methodology

A regression-based transmission disequilibrium test was applied to a simulated dataset to assess power and type I error rates.

Potential Biases

Potential bias due to transmission distortion.

Limitations

The method's effectiveness is limited by the loss of sample size due to uninformative matings.

Participant Demographics

Simulated data from the Aipotu, Danacaa, and Karangar populations.

Statistical Information

P-Value

0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S95

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication