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There were no overall associations between each polymorphism and the EA risk.
In addition, because of haptoglobin's primary function as a scavenger of free Hb, we set out to test whether there was an association between each polymorphism and Hb concentration, and between each polymorphism and RCC.
However, in any genetic models, there were no statistically significant associations between each polymorphism and the prevalence of cerebral infarction.
Therefore, we cannot exclude the possibility that such strict level of the significance masked the weak association between each polymorphism and cerebral infarction.
Odds ratios (OR) and 95%% confidence intervals (CI) were calculated using binary logistic regression to assess the relationship between each polymorphism and the colorectal adenoma or carcinoma cases.
The single association analysis revealed that there were no statistically significant associations between each polymorphism and the prevalence of cerebral infarction.
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The p-values and the generalized odds ratios (ORG) with their respective 95% confidence intervals for testing the association between genotype distribution of each polymorphism and susceptibility to preeclampsia are shown.
Odds ratios (ORs) and 95% confidence intervals (CI) were calculated using binary logistic regression analysis to assess the relationship between the dietary factors, each polymorphism and colorectal carcinoma or adenoma cases.
In the combined NHS-NHSII nested case-control study dataset, we assessed for interactions between the presence of each polymorphism and cigarette smoking categorized both as ever/never, and then dichotomized as ≤10 or ≥10 pack-years of smoking, because this is the threshold we previously identified to be associated with increased risk for RA [ 35].
In the combined NHS NHS II nested case control study dataset, we assessed for interactions between the presence of each polymorphism and cigarette smoking dichotomized as ≤ 10 or >10 pack-years of smoking to account for heavy smoking, as this is the threshold we previously identified to be associated with increased risk of RA [ 44].
We used unconditional logistic regression analysis to examine associations between each genetic polymorphisms and each phenotypic comparison.
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