Genetic Analysis of Rheumatoid Arthritis Using Simulated Data
Author Information
Author(s): Brian K Suarez, Robert Culverhouse, Carol H Jin, Anthony Hinrichs
Primary Institution: Washington University School of Medicine
Hypothesis
Can we identify genetic loci associated with rheumatoid arthritis using simulated data?
Conclusion
The study identified significant genetic signals associated with rheumatoid arthritis on chromosomes 6, 11, and 18.
Supporting Evidence
- Linkage analysis revealed a strong signal on chromosome 6.
- Association analysis identified additional loci on chromosomes 11 and 18.
- Significant associations were found at SNPs 138, 139, 389, and 269.
Takeaway
Researchers looked at genetic data to find clues about rheumatoid arthritis and found important signals on several chromosomes.
Methodology
Linkage and association analyses were performed on simulated data mimicking rheumatoid arthritis, using software like MERLIN and FBAT.
Potential Biases
Potential bias due to the lack of parental genotype data in the analysis.
Limitations
The study was conducted without knowledge of the generating model, which may affect the results.
Participant Demographics
The simulation included 1500 nuclear families and 2000 unrelated individuals, with a 3:1 female to male affection ratio.
Statistical Information
P-Value
0.000005
Statistical Significance
p<0.000005
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