Table 3

Distribution of bladder cancer cases and controls by NAT2 genotype, smoking habits, and occupational exposures. Caucasians only. ORs from a logistic regression model including gender, age (continuous), and study. 95% CIs (studies: Refs. 13 14 15 16 ).

A. NAT2NonsmokersEver smokers
CasesControlsCasesControls
Rapid8072242203
Slow127124523273
OR (95% CI)1.07 (0.66–1.75)1.64 (1.27–2.12)
Breslow-Day testa1.50 (P = 0.681)7.92 (0.048)
Joint effect of smoking and genotype:
B. NAT2NonsmokersEver smokers
Rapid1.0 (ref.)1.19 (0.78–1.81)
Slow1.07 (0.65–1.75)1.93 (1.32–2.82)
C. NAT2Ex-smokersCurrent smokers
CasesControlsCasesControls
Rapid42205732
Slow683515755
OR (95% CI)1.00 (0.45–2.07)1.74 (0.96–3.15)
Breslow-Day testa1.86 (P = 0.172)0.96 (0.328)
D. NAT2Occupational exposures
NoYes
CasesControlsCasesControls
Rapid12714810448
Slow25023721568
OR (95% CI)b1.34 (0.96–1.86)1.50 (0.91–2.45)
Breslow-Day testa1.67 (P = 0.19)0.14 (0.70)
Joint effect of occupational exposure and genotypeb
E. NAT2Occupational exposures
NoYes
Rapid1.0 (ref.)2.19 (1.35–3.56)
Slow1.24 (0.90–1.71)3.20 (2.12–4.82)
  • a For homogeneity of ORs across studies.

  • b Adjusted for age, gender, study, and smoking habits.