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对 15 个晚期阿尔茨海默病的候选基因进行研究。

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

机构信息

Department of Neuroscience, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA.

出版信息

Hum Genet. 2011 Mar;129(3):273-82. doi: 10.1007/s00439-010-0924-2. Epub 2010 Dec 4.

Abstract

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.

摘要

迄今为止,已有 12 项全基因组关联研究(GWAS)针对晚发性阿尔茨海默病(LOAD)进行了发表,除了载脂蛋白(APOE)ε4 外,还确定了 40 多个候选 LOAD 风险修饰物。这些新的 LOAD 候选基因中的少数几个,即 BIN1、CLU、CR1、EXOC3L2 和 PICALM,已经显示出一致的复制,因此是可信的 LOAD 易感基因。为了评估其他有前途的 LOAD 候选基因,我们将来自我们大型病例对照系列(n=5043)的数据添加到六个 LOAD 候选基因的所有已发表的随访病例对照关联研究的荟萃分析中,这些基因在多个研究中均显示出显著相关性(TNK1、GAB2、LOC651924、GWA_14q32.13、PGBD1 和 GALP),以及另外九个先前提出的候选基因。在添加我们的数据后,三个基因座的荟萃分析仍然具有显著性:GAB2(OR=0.78,p=0.007)、LOC651924(OR=0.91,p=0.01)和 TNK1(OR=0.92,p=0.02)。Breslow-Day 检验显示,GAB2(p<0.0001)和 GWA_14q32.13(p=0.006)之间存在显著的研究间异质性。我们还提供了提示性证据,表明 PGBD1(p=0.04)和 EBF3(p=0.03)与 LOAD 的发病年龄有关。最后,我们测试了这些 15 个基因、APOE ε4 与 5 个新的 LOAD 基因 BIN1、CLU、CR1、EXOC3L2 和 PICALM 之间的相互作用,但在多重检验校正后,没有一个具有统计学意义。总的来说,这项针对 15 个 LOAD 候选基因的大型独立随访研究为 GAB2 和 LOC651924(6q24.1)作为 LOAD 的风险修饰物以及 PGBD1 和 EBF3 与发病年龄之间的新关联提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84f6/3036835/5b4d514502a4/439_2010_924_Fig1_HTML.jpg

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