Risk assessment through genome-wide association studies of familial and sporadic prostate cancerin the Japanese population

我们研究了全基因组关联研究(GWAS)确定的30个SNPs与前列腺癌(PC)和前列腺癌之间的关联。除了14个无用的SNP外，我们选择了16个SNP进行分析。首先，我们确定了每个SNPs的风险等位基因，并基于常染色体显性模型对数据进行了分析，在单变量分析中，16个SNPs中有10个或更多的风险基因型显著增加了PC的风险。散发病例的优势比为2.61，家族性病例的优势比为4.23。在ROC分析中，两种风险评估模型的曲线下面积(AUC)分别为0.683和0.758。该模型在有无PC家族史的患者中应用时，对PC的诊断具有一定的潜力。

We examined the association between 30 SNPs identified by Genome-wide association study (GWAS) for prostate cancer (PC) and PC. We selected 16 SNPs for analysis except for 14 SNPs that were not useful. First, we determined a risk allele of each SNPs, and we analyzed the data based on an autosomal dominant model, next.In the univariate analysis, having ten or more risk genotypes in 16 SNPs significantly increased risk of PC. The odds ratio was 2.61 with sporadic cases, and 4.23 with familial cases. And in the ROC analysis, the areas under curves (AUCs) of these risk assessment models were 0.683 with SPC and 0.758 with FPC, respectively. This model could have a potential to diagnose PC, when it is applied to patients with family history of PC or not.