Comparing SNPs and Microsatellites for Alcoholism Genetics
Author Information
Author(s): Kim Helen, Hutter Carolyn M, Monks Stephanie A, Edwards Karen L
Primary Institution: University of Washington, School of Public Health and Community Medicine
Hypothesis
How do different density marker maps perform in detecting quantitative trait loci (QTLs) for alcoholism?
Conclusion
Using high-density SNP maps in variance-components linkage analysis provided higher LOD scores compared to standard microsatellite maps.
Supporting Evidence
- Heritability of lnmaxalc was estimated to be 15%.
- SNP maps consistently yielded higher LOD scores compared to microsatellite maps.
- Peak LOD scores for lnmaxalc were observed on chromosome 1.
Takeaway
This study looked at how different types of genetic markers can help find genes related to alcoholism. It found that using more detailed markers (SNPs) is better than using older types (microsatellites).
Methodology
Variance components linkage analysis was performed using SNP and microsatellite marker maps to identify QTLs for maximum number of alcoholic drinks consumed.
Potential Biases
Linkage disequilibrium among SNPs could lead to inflated LOD scores.
Limitations
The study was limited by the use of genetic maps that were not aligned among the three marker sets and the computational challenges of analyzing dense SNP data.
Participant Demographics
Families with three or more members diagnosed with alcohol dependence from six COGA sites.
Statistical Information
P-Value
0.004
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website