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Investigation of 15 of the top candidate genes for late-onset Alzheimer’s disease

机译:晚期迟发性阿尔茨海默氏病的15个最佳候选基因的研究

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The 12 genome-wide association studies (GWAS) published to-date for late-onset Alzheimer’s disease (LOAD) have identified over 40 candidate LOAD risk modifiers, in addition to apolipoprotein (APOE) ε4. A few of these novel LOAD candidate genes, namely BIN1, CLU, CR1, EXOC3L2 and PICALM, have shown consistent replication, and are thus credible LOAD susceptibility genes. To evaluate other promising LOAD candidate genes, we have added data from our large, case–control series (n = 5,043) to meta-analyses of all published follow-up case–control association studies for six LOAD candidate genes that have shown significant association across multiple studies (TNK1, GAB2, LOC651924, GWA_14q32.13, PGBD1 and GALP) and for an additional nine previously suggested candidate genes. Meta-analyses remained significant at three loci after addition of our data: GAB2 (OR = 0.78, p = 0.007), LOC651924 (OR = 0.91, p = 0.01) and TNK1 (OR = 0.92, p = 0.02). Breslow–Day tests revealed significant heterogeneity between studies for GAB2 (p < 0.0001) and GWA_14q32.13 (p = 0.006). We have also provided suggestive evidence that PGBD1 (p = 0.04) and EBF3 (p = 0.03) are associated with age-at-onset of LOAD. Finally, we tested for interactions between these 15 genes, APOE ε4 and the five novel LOAD genes BIN1, CLU, CR1, EXOC3L2 and PICALM but none were significant after correction for multiple testing. Overall, this large, independent follow-up study for 15 of the top LOAD candidate genes provides support for GAB2 and LOC651924 (6q24.1) as risk modifiers of LOAD and novel associations between PGBD1 and EBF3 with age-at-onset.
机译:迄今为止,已发表的12项全基因组关联研究(GWAS)除载脂蛋白(APOE)ε4外,还发现了40多种候选LOAD风险修饰因子。这些新颖的LOAD候选基因中的几个,即BIN1,CLU,CR1,EXOC3L2和PICALM,已经显示出一致的复制,因此是可靠的LOAD敏感性基因。为了评估其他有前途的LOAD候选基因,我们将来自大型病例对照系列(n = 5,043)的数据添加到了所有已发表的随访病例-对照关联研究的荟萃分析中,这些研究对六个显示出显着关联的LOAD候选基因跨多个研究(TNK1,GAB2,LOC651924,GWA_14q32.13,PGBD1和GALP)以及另外9个先前建议的候选基因。加入我们的数据后,在三个基因座处的荟萃分析仍然很重要:GAB2(OR = 0.78,p = 0.007),LOC651924(OR = 0.91,p = 0.01)和TNK1(OR = 0.92,p = 0.02)。 Breslow-Day测试显示,GAB2(p <0.0001)和GWA_14q32.13(p = 0.006)的研究之间存在显着异质性。我们还提供了暗示性证据,表明PGBD1(p = 0.04)和EBF3(p = 0.03)与LOAD的发病年龄有关。最后,我们测试了这15个基因,APOEε4和5个新的LOAD基因BIN1,CLU,CR1,EXOC3L2和PICALM之间的相互作用,但在进行多次测试校正后,它们都不显着。总体而言,这项针对15个最高级LOAD候选基因的大型独立随访研究为GAB2和LOC651924(6q24.1)提供了支持,可作为LOAD的风险调节剂,以及PGBD1和EBF3与发病年龄之间的新颖关联。

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