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The aim of this study was to investigate the possible association of interleukin-1 receptor antagonist (IL-1Ra) gene polymorphism and breast cancer (BC) risk. The IL-1Ra gene polymorphism was studied in 242 BC patients and 246 healthy controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The IL-1Ra gene polymorphisms were investigated by PCR-RFLP, which revealed that 844 and 845 (in the forward direction) were polymorphic and PCR products were digested by Pst I restriction enzyme. The frequency of IL-1Ra 844/845 T/T, T/C and C/C genotypes were 1.4, 43.5 and 45.1% in BC patients respectively, compared to 0.4, 28.4 and 65.6% in control subjects. The frequencies of C and T alleles were 0.42 and 0.58 in BC patients respectively, compared to 0.32 and 0.68 in control subjects. The logistic regression analysis revealed that the IL-1Ra 844/845 TC and CC genotypes were significantly associated with BC risk. The CC genotype was found to be the independent risk factor for BC development. The Chi-square test indicated that the IL-1Ra 844/845 T/T, C/C genotype and T allele were higher among BC patients than among control subjects. It is concluded that the IL-1Ra C allele is associated with an increase in BC risk.JAGS-based growth mixture modeling applied to age-at-onset data on schizophrenia.
Mixtures of growth models were fit to age-at-onset (AAO) data for schizophrenia; these models were designed to be appropriate for at least 1 of the following reasons: (a) the AAO data arose from a study on a disease that typically shows the expected early age at onset; (b) the AAO data are highly negatively skewed; or (c) the AAO data have long-tailed distributions. Growth mixture modeling of the AAO data showed evidence for at least 2 subgroups of AAO that did not fit the age at diagnosis paradigm, as well as for a trivari
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