Gene × gene and gene × environment interactions for complex disorders
2007

Gene and Environment Interactions in Rheumatoid Arthritis Risk

Sample size: 3500 publication Evidence: moderate

Author Information

Author(s): Robert Culverhouse, Anthony L Hinrichs, Carol H Jin, Brian K Suarez

Primary Institution: Washington University

Hypothesis

Can the restricted partition method identify genetic and environmental factors contributing to rheumatoid arthritis risk?

Conclusion

The study successfully identified four genetic factors contributing to rheumatoid arthritis risk and one genetic locus related to an associated endophenotype, IgM.

Supporting Evidence

  • The RPM identified three genetic loci contributing directly to RA risk.
  • Univariate analyses showed significant p-values for the identified factors.
  • The study did not detect any false-positive signals.

Takeaway

Researchers used a special method to find out how genes and environment work together to affect the risk of getting rheumatoid arthritis.

Methodology

The restricted partition method was applied to analyze genetic and environmental factors in a dataset of 1500 cases and 2000 controls.

Limitations

Two genetic factors contributing to RA risk were not detected, even with a large sample size.

Participant Demographics

1500 unrelated cases and 2000 unrelated controls, primarily focused on rheumatoid arthritis.

Statistical Information

P-Value

<0.05

Statistical Significance

p<0.05

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