Comparing SNPs and Microsatellites in Linkage Analysis
Author Information
Author(s): Gerald Dunn, Anthony L Hinrichs, Sarah Bertelsen, Carol H Jin, John S Kauwe, Brian K Suarez, Laura J Bierut
Primary Institution: Washington University School of Medicine
Hypothesis
Are SNPs more effective than microsatellites for linkage analysis of phenotypes?
Conclusion
SNPs provide stronger linkage results than microsatellites for both neurophysiology and alcohol dependence phenotypes.
Supporting Evidence
- SNPs produced higher LOD scores than microsatellites for both phenotypes.
- The analysis used two SNP maps on Illumina and Affymetrix platforms.
- LOD scores for neurophysiology and alcohol dependence were compared across different marker types.
- Thinning SNP maps in regions of high linkage disequilibrium can yield more accurate results.
Takeaway
This study found that using SNPs instead of microsatellites can help scientists find genetic links to traits better and faster.
Methodology
The study analyzed linkage results using SNP and microsatellite maps for two phenotypes in a Caucasian subpopulation.
Potential Biases
Potential bias due to differences in allele frequencies between populations.
Limitations
The study was limited to a specific population and may not generalize to other groups.
Participant Demographics
Caucasian subpopulation of 1,214 individuals in 112 pedigrees.
Statistical Information
P-Value
2 × 10^-14
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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