Spss version 16.0 statistical package

The genotype frequencies of each SNP in the control subjects were checked using the Hardy–Weinberg equilibrium (HWE). Power analysis was carried out using the online calculator at http://sampsize.sourceforge.net/iface/s3.html. Data analysis was performed using SPSS version 16.0 statistical package (SPSS, Chicago, IL, USA) and Microsoft Excel. P < 0.05 was considered to represent statistical significance. Differences in the distribution were analyzed using logistic regression. The genotype frequencies of cases and controls were calculated using a χ2 test [15 (link), 16 (link)]. Odds ratios (ORs) and 95 % confidence intervals (CIs) were tested using unconditional logistic regression analysis with adjustment for age and gender [17 (link)]. The allele, overdominant and log-additive models were applied using PLINK software (http://pngu.mgh.harvard.edu/purcell/plink/) to assess the association of SNPs with the risk of gastric and colorectal cancers.

The genotype frequencies of each SNP in the control subjects were checked using the Hardy–Weinberg equilibrium (HWE). Data analysis was performed using SPSS version 16.0 statistical package (SPSS, Chicago, IL) and Microsoft Excel (Chicago, IL). The significance of the difference of alleles and genotype frequencies between the groups was tested using the chi-square method.^{[21 (link)]}P < 0.05 was considered to represent statistical significance. Differences in the distribution were analyzed using logistic regression. Odds ratios (ORs) and 95% confidence intervals (CIs) were tested using unconditional logistic regression analysis with adjustment for age and gender.^{[22 (link)]} The 3 genetic models (Dominant, Recessive, and Additive) were applied by PLINK software (Chicago, IL) (http://pngu.mgh.harvard.edu/purcell/plink/) to assess the association of single SNPs with the risk of steroid-induced ONFH. The analyses of linkage disequilibrium (LD), and haplotype construction was used by the Haploview software package (version 4.2) (Chicago, IL).^{[23 (link)]}

Statistical analyses were performed using the SPSS version 16.0 statistical package (SPSS, Chicago, IL, USA) and Microsoft Excel. All p values were two-sided, and values of p ≤ 0.05 were considered significant. The genotype frequencies for each SNP in the control subjects were checked using the Hardy-Weinberg equilibrium (HWE). Chi-squared test or Fisher's exact test was used to calculate the allele and genotype frequencies among cases and controls. Associations between the genotypes and schizophrenia risk were estimated by computing odds ratios (ORs) and 95% confidence intervals (CIs) evaluated in three genetic models (dominant, recessive, additive model) using unconditional logistic regression adjusted for age and gender. We determined p values for trend by entering the variable as a single term in the model (i.e., one degree of-freedom) and testing using Wald's test. Finally, the Haploview software package (version 4.2) and SHEsis software platform (http://analysis.bio-x.cn/myAnalysis.php) were used for estimate the pairwise linkage disequilibrium (LD), haplotype construction, and genetic association at polymorphism loci.