Evaluating gene × gene and gene × smoking interaction in rheumatoid arthritis using candidate genes in GAW15
2007

Gene and Smoking Interactions in Rheumatoid Arthritis

Sample size: 1330 publication Evidence: high

Author Information

Author(s): Mei Ling, Li Xiaohui, Yang Kai, Cui Jinrui, Fang Belle, Guo Xiuqing, Rotter Jerome I

Primary Institution: Cedars-Sinai Medical Center

Hypothesis

We examined the potential gene × gene interactions and gene × smoking interactions in rheumatoid arthritis using candidate gene data sets.

Conclusion

The study confirmed the role of genetic and environmental factors in rheumatoid arthritis, particularly highlighting the PTPN22 gene's strong association with the disease.

Supporting Evidence

  • The best predictive model for RA status is the single-locus model containing SNP rs2476601 on gene PTPN22.
  • Substantial departure from multiplicativity was observed between smoking and SNPs in several genes.
  • The study identified significant associations between multiple SNPs and RA status.

Takeaway

This study looked at how genes and smoking might work together to cause rheumatoid arthritis, finding that a specific gene called PTPN22 is very important.

Methodology

The study used multifactor dimensionality reduction (MDR) and logistic regression to analyze gene interactions and smoking effects.

Limitations

The study's case-only design may limit the generalizability of the findings.

Participant Demographics

The study included unrelated controls and cases, with a focus on genetic factors and smoking history.

Statistical Information

P-Value

<0.0001

Confidence Interval

95%CI: 0.36, 0.60

Statistical Significance

p<0.05

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