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Genetic polymorphisms associated with increased risk of developing chronic myelogenous leukemia

机译:遗传多态性与罹患慢性粒细胞性白血病的风险增加相关

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摘要

Little is known about inherited factors associated with the risk of developing chronic myelogenous leukemia (CML). We used a dedicated DNA chip containing 16 561 single nucleotide polymorphisms (SNPs) covering 1 916 candidate genes to analyze 437 CML patients and 1 144 healthy control individuals. Single SNP association analysis identified 139 SNPs that passed multiple comparisons (1% false discovery rate). The HDAC9, AVEN, SEMA3C, IKBKB, GSTA3, RIPK1 and FGF2 genes were each represented by three SNPs, the PSM family by four SNPs and the SLC15A1 gene by six. Haplotype analysis showed that certain combinations of rare alleles of these genes increased the risk of developing CML by more than two or three-fold. A classification tree model identified five SNPs belonging to the genes PSMB10, TNFRSF10D, PSMB2, PPARD and CYP26B1, which were associated with CML predisposition. A CML-risk-allele score was created using these five SNPs. This score was accurate for discriminating CML status (AUC: 0.61, 95%CI: 0.58–0.64). Interestingly, the score was associated with age at diagnosis and the average number of risk alleles was significantly higher in younger patients. The risk-allele score showed the same distribution in the general population (HapMap CEU samples) as in our control individuals and was associated with differential gene expression patterns of two genes (VAPA and TDRKH). In conclusion, we describe haplotypes and a genetic score that are significantly associated with a predisposition to develop CML. The SNPs identified will also serve to drive fundamental research on the putative role of these genes in CML development.
机译:关于与发展慢性粒细胞性白血病(CML)风险相关的遗传因素知之甚少。我们使用了一个包含16561个单核苷酸多态性(SNP)的专用DNA芯片,该芯片覆盖了1916个候选基因,以分析437名CML患者和1 144名健康对照者。单个SNP关联分析确定了139个SNP,这些SNP通过了多次比较(1%的错误发现率)。 HDAC9,AVEN,SEMA3C,IKBKB,GSTA3,RIPK1和FGF2基因分别由三个SNP代表,PSM家族由四个SNP代表,而SLC15A1基因由六个SNP代表。单倍型分析表明,这些基因的稀有等位基因的某些组合使患CML的风险增加了两倍或三倍以上。分类树模型确定了属于基因PSMB10,TNFRSF10D,PSMB2,PPARD和CYP26B1的5个SNP,它们与CML易感性有关。使用这五个SNP创建了CML风险等位基因评分。该评分可准确区分CML状态(AUC:0.61,95%CI:0.58–0.64)。有趣的是,该分数与诊断时的年龄有关,年轻患者的风险等位基因的平均数量明显更高。风险等位基因得分在普通人群(HapMap CEU样本)中显示与在对照组中相同的分布,并且与两个基因(VAPA和TDRKH)的差异基因表达模式有关。总之,我们描述了与易患CML的倾向明显相关的单倍型和遗传评分。鉴定出的SNP还将用于推动对这些基因在CML发育中的假定作用的基础研究。

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