Genetic Analysis of Rheumatoid Arthritis Severity
Author Information
Author(s): Sutradhar Rinku, Pinnaduwage Dushanthi, Bull Shelley B
Primary Institution: Samuel Lunenfeld Research Institute of Mount Sinai Hospital
Hypothesis
We sought to identify genetic determinants of rheumatoid arthritis severity and assess the association of known candidate genes with disease severity.
Conclusion
The bivariate counting process model provides a stronger approach for analyzing the association between genetic factors and rheumatoid arthritis severity compared to univariate models.
Supporting Evidence
- The counting process model accounts for the duration of rheumatoid arthritis.
- Significant genetic associations were found with the candidate gene DRB1.
- The model showed a gain in efficiency compared to univariate models.
Takeaway
This study looks at how genes might affect how bad rheumatoid arthritis can get, using a special method to analyze the data.
Methodology
A bivariate mixed-counting process model was used to analyze the association of genetic factors with the severity of rheumatoid arthritis.
Limitations
The phenotypes were not modeled in the same manner for linkage analysis and association analysis due to software restrictions.
Participant Demographics
The study included 1492 individuals from 710 families representing multiple ethnicities.
Statistical Information
P-Value
p<1 × 10-6
Statistical Significance
p<0.0001
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