Selecting SNPs in Disease Studies
Author Information
Author(s): Joo Jungnam, Tian Xin, Zheng Gang, Lin Jing-Ping, Geller Nancy L
Primary Institution: National Heart, Lung and Blood Institute
Hypothesis
How can we identify disease-associated SNP markers among a large pool?
Conclusion
Different strategies for selecting SNP markers can yield varying results in disease association studies.
Supporting Evidence
- The study examined various test statistics for disease association.
- Univariate and set selection approaches were compared.
- Significant disease association was found for SNP marker rs1037475.
- Multiple testing procedures were reviewed to control error rates.
Takeaway
The study looks at different ways to find genetic markers that might be linked to diseases, showing that some methods work better than others.
Methodology
The study applied univariate and set selection approaches to analyze SNP data from the Collaborative Study on the Genetics of Alcoholism.
Potential Biases
The case-control dataset may have correlated structures due to family relationships, potentially inflating type I error rates.
Limitations
The methods can become very conservative and fail to find significance when testing a large number of SNPs.
Participant Demographics
1,614 individuals from 143 families, including 609 cases and 261 controls.
Statistical Information
P-Value
0.002
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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