Comparing Methods for Detecting Genetic Susceptibility Loci
Author Information
Author(s): Meng Yan, Ma Qianli, Yu Yi, Farrell John, Farrer Lindsay A, Wilcox Marsha A
Primary Institution: Boston University
Hypothesis
Can multifactor-dimensionality reduction (MDR) detect susceptibility loci more effectively than family-based association tests (FBAT) in discordant sib-pair studies?
Conclusion
Neither FBAT nor MDR were able to detect statistically significant susceptibility loci in the discordant sib-pair dataset.
Supporting Evidence
- FBAT identified one susceptibility locus, but it was not statistically significant.
- MDR detected two interactions but none reached statistical significance.
- The study used simulated data to avoid bias in analysis.
- Genetic heterogeneity may have affected the power of both methods.
Takeaway
The study looked at two methods to find genes that might cause diseases, but neither method worked well in this case.
Methodology
The study used simulated data from discordant sib pairs and compared the effectiveness of FBAT and MDR in detecting susceptibility loci.
Limitations
The study's power may have been limited by genetic heterogeneity and the sampling design.
Participant Demographics
The dataset included 410 discordant sib pairs from 500 nuclear families.
Statistical Information
P-Value
p = 0.043 for D4, p = 0.129 after FDR correction
Confidence Interval
90% confidence regions for candidate regions
Digital Object Identifier (DOI)
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