Linkage Analysis of Alcohol Dependence Using EEG Traits
Author Information
Author(s): Yu Yi, Meng Yan, Ma Qianli, Farrell John, Farrer Lindsay A, Wilcox Marsha A
Primary Institution: Boston University School of Medicine
Hypothesis
Using single-nucleotide polymorphisms (SNPs) will provide better linkage signals than microsatellites for quantitative traits related to alcohol dependence.
Conclusion
The study found a strong linkage of EEG factor F3 to chromosome 18, suggesting a genetic locus that may influence alcohol dependence.
Supporting Evidence
- Factor analysis identified four underlying factors related to EEG traits.
- Significant linkage evidence for factor F3 was found on chromosome 18.
- Using SNPs provided higher LOD scores compared to microsatellites.
Takeaway
Scientists looked at brain wave patterns to find genes that might make people more likely to be alcoholics, and they found a specific area in the DNA that seems important.
Methodology
The study used factor analysis on EEG measures and performed variance components linkage analysis with SNP and microsatellite data.
Participant Demographics
Participants were families involved in the Collaborative Study on the Genetics of Alcoholism (COGA).
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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