Improving Haplotype Analysis for Rheumatoid Arthritis
Author Information
Author(s): Yu Zhaoxia, Schaid Daniel J
Primary Institution: Mayo Clinic College of Medicine
Hypothesis
Can a sequential haplotype scan method improve the power of association analysis in case-control data for rheumatoid arthritis?
Conclusion
The sequential haplotype scan methods provide stronger evidence for association compared to traditional single-locus analysis.
Supporting Evidence
- The sequential haplotype method showed stronger association than the single-locus method at several points.
- The p-value for the nearest marker to R620W was not significant using the single-locus method but was significant using the sequential methods.
- Regional p-values for the sequential methods were less than 10-6, indicating strong evidence for association.
Takeaway
This study found a new way to look at genetic data that helps scientists understand diseases better, especially rheumatoid arthritis.
Methodology
The study applied a sequential haplotype scan method to analyze case-control data for rheumatoid arthritis, using the Mantel-Haenszel test.
Limitations
The method cannot detect effects of haplotypes constructed from markers that are far apart.
Participant Demographics
460 unrelated cases and 460 unrelated controls for the NARAC association mapping data.
Statistical Information
P-Value
<10-6
Statistical Significance
p<0.05
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