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Association analysis of 9,560 prostate cancer cases from the International Consortium of Prostate Cancer Genetics confirms the role of reported prostate cancer associated SNPs for familial disease

机译:国际前列腺癌遗传学协会对9,560例前列腺癌病例的关联分析证实了已报道的与前列腺癌相关的SNP在家族性疾病中的作用

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Previous GWAS studies have reported significant associations between various common SNPs and prostate cancer risk using cases unselected for family history. How these variants influence risk in familial prostate cancer is not well studied. Here, we analyzed 25 previously reported SNPs across 14 loci from prior prostate cancer GWAS. The International Consortium for Prostate Cancer Genetics (ICPCG) previously validated some of these using a family-based association method (FBAT). However, this approach suffered reduced power due to the conditional statistics implemented in FBAT. Here, we use a case-control design with an empirical analysis strategy to analyze the ICPCG resource for association between these 25 SNPs and familial prostate cancer risk. Fourteen sites contributed 12,506 samples (9,560 prostate cancer cases, 3,368 with aggressive disease, and 2,946 controls from 2,283 pedigrees). We performed association analysis with Genie software which accounts for relationships. We analyzed all familial prostate cancer cases and the subset of aggressive cases. For the familial prostate cancer phenotype, 20 of the 25 SNPs were at least nominally associated with prostate cancer and 16 remained significant after multiple testing correction (p ≤ 1E -3) occurring on chromosomal bands 6q25, 7p15, 8q24, 10q11, 11q13, 17q12, 17q24, and Xp11. For aggressive disease, 16 of the SNPs had at least nominal evidence and 8 were statistically significant including 2p15. The results indicate that the majority of common, low-risk alleles identified in GWAS studies for all prostate cancer also contribute risk for familial prostate cancer, and that some may contribute risk to aggressive disease.
机译:先前的GWAS研究报告了使用未选择家族史的病例在各种常见SNP与前列腺癌风险之间的显着关联。这些变体如何影响家族性前列腺癌的风险尚未得到很好的研究。在这里,我们分析了来自先前前列腺癌GWAS的14个基因座中的25个先前报道的SNP。国际前列腺癌遗传学协会(ICPCG)以前使用基于家庭的关联方法(FBAT)验证了其中一些。但是,由于FBAT中执行了条件统计,因此此方法的功耗降低了。在这里,我们使用病例对照设计和经验分析策略来分析ICPCG资源,以了解这25个SNP与家族性前列腺癌风险之间的关联。 14个站点贡献了12,506个样本(9,560例前列腺癌病例,3,368例侵袭性疾病以及来自2,283个谱系的2,946个对照)。我们使用Genie软件进行了关联分析,该软件可以分析关系。我们分析了所有家族性前列腺癌病例和侵袭性病例的子集。对于家族性前列腺癌表型,在染色体6q25、7p15、8q24、10q11、11q13、17q12的染色体条带上进行多次测试校正(p≤1E -3)后,25个SNP中的20个至少名义上与前列腺癌相关,而16个仍显着,17q24和Xp11。对于侵袭性疾病,其中16个SNP至少具有名义证据,而8个具有统计学意义,包括2p15。结果表明,在GWAS研究中针对所有前列腺癌确定的大多数常见,低风险等位基因也对家族性前列腺癌有影响,而某些可能对侵袭性疾病有影响。

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