Linkage Analysis for Rheumatoid Arthritis Using Ordered-Subset Analysis
Author Information
Author(s): Mandhyan Desh Deep, Kim-Howard Xana, Gaines Matthew, Nath Swapan K
Primary Institution: Oklahoma Medical Research Foundation
Hypothesis
Can ordered-subset analysis improve the detection of genetic linkage in rheumatoid arthritis?
Conclusion
The study identified significant linkage regions for rheumatoid arthritis using ordered-subset analysis, demonstrating its effectiveness in reducing genetic heterogeneity.
Supporting Evidence
- Significant linkage was observed at chromosomes 4 and 18.
- Suggestive evidence of linkage was found at chromosomes 2, 9, and 19.
- Ordered-subset analysis improved the detection of linkage under genetic heterogeneity.
Takeaway
Researchers looked at families with rheumatoid arthritis to find genes that might cause the disease, and they used a special method to make their search more accurate.
Methodology
The study used genome-wide linkage analysis with ordered-subset analysis, incorporating covariates like age of onset and anti-CCP levels.
Potential Biases
Potential bias due to the exclusion of non-Caucasian families and those with uninformative linkage data.
Limitations
The study only included Caucasian families and had to remove some families due to mixed ethnicity or lack of informative data.
Participant Demographics
Caucasian families with rheumatoid arthritis.
Statistical Information
P-Value
0.000003
Confidence Interval
[0.0078, 0.0194]
Statistical Significance
p<0.05
Want to read the original?
Access the complete publication on the publisher's website