Using Susceptibility Scoring to Find Genetic Signals in Alcoholism
Author Information
Author(s): Benke Kelly S, Chase Gary A, Fallin Daniele M
Primary Institution: Johns Hopkins Bloomberg School of Public Health
Hypothesis
Can selecting a genetically predisposed subgroup increase the detection of genetic signals in alcoholism studies?
Conclusion
The susceptibility scoring approach sometimes resulted in smaller p-values for genetic signals, but also weakened evidence for others.
Supporting Evidence
- The susceptibility scoring approach sometimes resulted in smaller p-values for genetic signals.
- Using a genetically predisposed subgroup can help in detecting genetic signals.
- The study involved 137 families with probands diagnosed with alcoholism.
- Results showed mixed outcomes regarding the effectiveness of susceptibility scoring.
Takeaway
The study looked at how picking people who are more likely to have a genetic risk for alcoholism can help find genetic clues, but it didn't always work as hoped.
Methodology
The study used data from 137 families with probands diagnosed with alcoholism and applied a genotypic transmission disequilibrium test on a selected subgroup based on susceptibility scores.
Potential Biases
Potential bias due to the selection of a subgroup based on susceptibility scoring.
Limitations
The small sample size of 39 high-risk trios may limit the ability to detect significant genetic signals.
Participant Demographics
The study involved families with a proband diagnosed with alcoholism, spanning 2–4 generations.
Statistical Information
P-Value
0.0044
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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