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Gene-specific Meff values (GMeff) were received, which were added up to a study-wise Meff value, SGMeff?=?sum (GMeff) under the assumption that the genes are independent with respect to the endpoints. By applying the Bonferroni correction to the number of independent http://www.selleckchem.com/products/Nolvadex.html tests, we obtained a study-wise significance level of 0��05/SGMeff?= 2��9?��?10?4. Based on the distinct aetiology of the three main lymphoma subtypes (B-NHL, T-NHL, and HL) (Morton et?al, 2008), we considered the tested association between SNPs and the subtypes as independent from each other and did not take them into account for the multiple comparison correction. Statistical interaction was assessed for the SNPs of the most prominent genes for which biological interaction was plausible based on the current knowledge of the JAK-STAT pathway (Yu et?al, 2009), by adding an interaction term in the regression model. To formally test statistical interaction, the log-likelihood ratio test was applied. Furthermore, if the interaction P-value was below 0��05 as well as for the most promising SNPs of the single SNP analysis, where biological interaction was likely, we calculated risk estimates for one genetic variant stratified by the genotype of the second variant included in the previous regression model. The genotyping data of the controls was transformed into Haploview format (linkage format) using the SNPtool (http://www.bioinformatics.org/snp-tools-excel/) http://www.selleckchem.com/products/Fludarabine(Fludara).html to reconstruct haplotype blocks with Haploview, using the implemented algorithm based on confidence bounds by Gabriel et?al (2002). The cut-off values for the haplotype block generation are: MAF >5%, Hardy Weinberg P-value cut-off ��0��01 and 75% of non-missing genotypes of this marker. Maximum likelihood haplotype frequency estimates were generated based on the expectation-maximization (EM) algorithm implemented in the PROC HAPLOTYPE procedure of the SAS/Genetics package (sas 9.2). Haplotypes with a frequency https://en.wikipedia.org/wiki/Chlormezanone haplotypes and combined. The haplotype with the highest frequency was used as reference. Details regarding the main characteristics of the study population used for the statistical analysis and the distribution of cases are presented in Table?I. Briefly, 1414 cases and 1447 controls were included in the statistical analysis. The age distribution was similar among cases and controls and the mean age was 55?years for both. To assess if the frequency matching had worked properly, heterogeneity between cases and controls was checked by applying the chi-square test, which revealed non-significant P-values for all three matching variables (age-group: P?=?0��9; sex: P?=?0��9 and study centre: P?=?1��0). The largest lymphoma subtypes were HL (n?=?259), CLL (n?=?321), and DLBCL (n?=?391).