Incorporating Endophenotypes in Genetic Analysis
Author Information
Author(s): Joan E Bailey-Wilson, Laura Almasy, Mariza de Andrade, Julia Bailey, Heike Bickeböller, Heather J Cordell, E Warwick Daw, Lynn Goldin, Ellen L Goode, Courtney Gray-McGuire, Wayne Hening, Gail Jarvik, Brion S Maher, Nancy Mendell, Andrew D Paterson, John Rice, Glen Satten, Brian Suarez, Veronica Vieland, Marsha Wilcox, Heping Zhang, Andreas Ziegler, Jean W MacCluer
Primary Institution: University of California at Los Angeles School of Medicine
Hypothesis
Does including covariates improve genetic analyses of heritability and linkage?
Conclusion
Incorporating endophenotypes as covariates did not consistently improve the results of genetic analyses for Kofendrerd Personality Disorder.
Supporting Evidence
- Kofendrerd Personality Disorder was not heritable without covariates.
- Seven out of twelve associated phenotypes were significant when included.
- The inclusion of covariates did not consistently alter false-positive rates.
Takeaway
The study looked at whether adding extra information helps in understanding genetic traits, but it found that it didn't always make a difference.
Methodology
Variance component analyses were performed using a simulated dataset with different covariate models.
Potential Biases
Potential false positives due to violations of assumptions about trait distribution.
Limitations
The study used a simulated dataset, which may not fully represent real-world complexities.
Participant Demographics
Data from four different populations with varying ascertainment schemes.
Statistical Information
P-Value
p < 0.000001
Statistical Significance
p < 0.000001
Digital Object Identifier (DOI)
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