Linkage Statistics for Rheumatoid Arthritis
Author Information
Author(s): Margaritte-Jeannin Patricia, Babron Marie-Claude, Clerget-Darpoux Françoise
Primary Institution: INSERM U535, Univ Paris-Sud
Hypothesis
How do different LOD score statistics perform in detecting linkage in rheumatoid arthritis?
Conclusion
The KC-LOD statistic shows slightly better power to detect the HLA region involved in rheumatoid arthritis compared to other methods.
Supporting Evidence
- The KC-LOD statistic had a power of 48.5% for detecting linkage in the HLA region.
- Identical observed values of different statistics can correspond to very different p-values.
- Using four genetic models did not significantly increase the power of detection.
Takeaway
This study looked at different ways to find genes that might cause rheumatoid arthritis and found that one method worked a little better than the others.
Methodology
The study analyzed 2500 replicates of 60 families each, using four different LOD score statistics to evaluate linkage detection.
Limitations
The power of detection was very low for loci other than HLA, and the analysis was limited to affected sib pairs.
Participant Demographics
Affected sib pairs from 1500 families were used in the study.
Statistical Information
P-Value
0.002
Statistical Significance
p<0.05
Want to read the original?
Access the complete publication on the publisher's website