Linkage Analysis of Alcohol Dependence Traits
Author Information
Author(s): Warren Diane M, Dyer Thomas D, Peterson Charles P, Mahaney Michael C, Blangero John, Almasy Laura
Primary Institution: Department of Genetics, Southwest Foundation for Biomedical Research
Hypothesis
Can trivariate linkage screens improve the identification of genes influencing electrophysiological endophenotypes related to alcohol dependence?
Conclusion
The study suggests that trivariate linkage analyses can help identify chromosomal regions potentially containing genes influencing alcohol dependence traits.
Supporting Evidence
- The study introduced a trivariate multipoint linkage screen for analyzing three quantitative traits simultaneously.
- Results indicated that the trivariate approach has utility in identifying genomic regions of interest.
- Linkage analyses were conducted using both microsatellite and SNP genotypes, yielding similar results.
Takeaway
Researchers looked at how genes might affect traits related to alcohol dependence by studying three specific traits together, and they found some interesting patterns.
Methodology
The study used a maximum-likelihood based multipoint linkage approach implemented in SOLAR to analyze linkage for three electrophysiological endophenotypes.
Limitations
The strongest linkage signals did not achieve statistical significance, and further analyses are needed to evaluate the power of the trivariate approach.
Participant Demographics
The study included 905 individuals (454 males and 451 females) from 143 extended families.
Digital Object Identifier (DOI)
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