Linkage Analysis of Alcoholism Using SNPs
Author Information
Author(s): Nsengimana Jérémie, Renard Hélène, Goldgar David
Primary Institution: International Agency for Research on Cancer
Hypothesis
The study aims to compare the efficiency of nonparametric linkage analysis using microsatellites and SNPs for alcoholism.
Conclusion
Using dense maps of SNPs in linkage analysis is more powerful and less biased than using the 10-cM maps of microsatellites.
Supporting Evidence
- The study used data from 142 families to analyze the efficiency of SNPs compared to microsatellites.
- Higher z scores and lower p-values were observed with SNPs than with microsatellites.
- The study confirmed that SNPs provide a more accurate estimation of gene positions than microsatellites.
Takeaway
The study found that using more SNPs helps scientists find genes related to alcoholism better than using fewer markers.
Methodology
The study analyzed data from the Collaborative Study on the Genetics of Alcoholism using nonparametric linkage tests with different densities of SNPs and microsatellites.
Potential Biases
The study noted that estimating gene positions using SNPs is less biased than using microsatellites.
Limitations
Linkage signals can be unstable and difficult to interpret when several SNPs are genotyped per centimorgan.
Participant Demographics
The analysis focused on the 'White non-Hispanic' group, which included 102 of the 142 families.
Statistical Information
P-Value
p = 0.005
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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