Linkage mapping of a complex trait in the New York population of the GAW14 simulated dataset: a multivariate phenotype approach
2005

Linkage Mapping of Kofendrerd Personality Disorder Using Multivariate Phenotypes

Sample size: 100 publication Evidence: moderate

Author Information

Author(s): Saurabh Ghosh, Samsiddhi Bhattacharjee, Gourab Basu, Sandip Pal, Partha P Majumder

Primary Institution: Indian Statistical Institute

Hypothesis

Using a multivariate phenotype correlated with Kofendrerd Personality Disorder (KPD) will yield more significant linkage findings than using KPD status alone.

Conclusion

The study found that using a multivariate phenotype approach was more effective in detecting linkage for KPD than using the end-point trait alone.

Supporting Evidence

  • Five personality traits were significantly correlated with KPD status.
  • Linkage analyses based on the multivariate phenotype yielded significant peaks on four chromosomes.
  • The multivariate phenotype approach produced significant findings at more locations than the KPD status alone.

Takeaway

Scientists found that looking at multiple related traits together helps them find genetic links to a personality disorder better than just looking at whether someone has the disorder or not.

Methodology

The study used a reverse regression method to analyze linkage of KPD using a multivariate phenotype approach based on logistic regression of personality traits.

Limitations

The dataset structure did not allow for valid statistical comparisons with most existing methods, and the binary nature of the traits posed challenges for normality assumptions.

Participant Demographics

The study analyzed data from the New York population, focusing on 50 independent sibships.

Statistical Information

P-Value

0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S19

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