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Removing those SNPs was a conservative approach, potentially biasing our tests towards the null hypotheses, since the SNPs were prevented from possibly entering the joint action models after adjustment for other variables.
After the standard quality control of the genotype results (Table S2), association analysis was performed for 420,236 SNPs using logistic regression analysis on the basis of allelic, dominant and recessive models after adjustment of age, sex and smoking status for each individual.
Also the association for Ni PM2.5 remained statistically significant in two-pollutant models after adjustment for S PM2.5.
We estimated the hazard ratios and 95% confidence intervals using Cox proportional hazards models after adjustment for age and sex.
Logistic regression analysis was performed for all SNPs in the context of recessive, dominant and co-dominant models after adjustment for age.
Mammographic density was a stronger risk factor than the risk factors used by the Tyrer-Cuzick or Gail models, after adjustment for age and BMI.
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Dew point temperature is correlated with air temperature and was adjusted for daily mean temperature to limit collinearity in the model (after adjustment, average community correlation between daily dew point temperature and maximum temperature = 0.12) (Bell et al. 2004).
We report p-values of association under an additive model, after adjustment for covariates (see Materials and Methods).
Genotypic differences between the case and control were tested for association by logistic regression analysis with the additive model after adjustment for sex and age.
Genotypic differences between the case and control were tested for association by logistic regression analysis with the additive model after adjustment for age and sex.
The risk allele of SNPs rs10811661 (CDKN2A/2B), rs13266634 (SLC30and and rs2466293 (SLC30A8) increased the risk of incident T2DM by 94%, 88% and 152%, respectively, in the recessive model after adjustment for the effect of age, gender and BMI.
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