Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
J Alzheimers Dis. 2012;29(3):571-88. doi: 10.3233/JAD-2012-111223.
Evidence supports a role for epigenetic mechanisms in the pathogenesis of late-onset Alzheimer's disease (LOAD), but little has been done on a genome-wide scale to identify potential sites involved in disease. This study investigates human postmortem frontal cortex genome-wide DNA methylation profiles between 12 LOAD and 12 cognitively normal age- and gender-matched subjects. Quantitative DNA methylation is determined at 27,578 CpG sites spanning 14,475 genes via the Illumina Infinium HumanMethylation27 BeadArray. Data are analyzed using parallel linear models adjusting for age and gender with empirical Bayes standard error methods. Gene-specific technical and functional validation is performed on an additional 13 matched pair samples, encompassing a wider age range. Analysis reveals 948 CpG sites representing 918 unique genes as potentially associated with LOAD disease status pending confirmation in additional study populations. Across these 948 sites the subtle mean methylation difference between cases and controls is 2.9%. The CpG site with a minimum false discovery rate located in the promoter of the gene Transmembrane Protein 59 (TMEM59) is 7.3% hypomethylated in cases. Methylation at this site is functionally associated with tissue RNA and protein levels of the TMEM59 gene product. The TMEM59 gene identified from our discovery approach was recently implicated in amyloid-β protein precursor post-translational processing, supporting a role for epigenetic change in LOAD pathology. This study demonstrates widespread, modest discordant DNA methylation in LOAD-diseased tissue independent from DNA methylation changes with age. Identification of epigenetic biomarkers of LOAD risk may allow for the development of novel diagnostic and therapeutic targets.
证据支持表观遗传机制在迟发性阿尔茨海默病(LOAD)发病机制中的作用,但在全基因组范围内确定潜在的疾病相关位点方面做得很少。本研究调查了 12 例 LOAD 患者和 12 例认知正常的年龄和性别匹配受试者之间的人类死后额叶皮层全基因组 DNA 甲基化谱。通过 Illumina Infinium HumanMethylation27 BeadArray,在跨越 14475 个基因的 27578 个 CpG 位点上确定定量 DNA 甲基化。使用平行线性模型进行数据分析,这些模型调整了年龄和性别,并使用经验贝叶斯标准误差方法进行了调整。在另外 13 对匹配的样本中进行了基因特异性的技术和功能验证,涵盖了更广泛的年龄范围。分析显示,有 948 个 CpG 位点代表 918 个独特的基因,可能与 LOAD 疾病状态相关,有待在其他研究人群中进一步确认。在这 948 个位点中,病例和对照组之间的微小平均甲基化差异为 2.9%。位于跨膜蛋白 59(TMEM59)基因启动子中的最小错误发现率的 CpG 位点在病例中低甲基化 7.3%。该位点的甲基化与 TMEM59 基因产物的组织 RNA 和蛋白质水平功能相关。我们从发现方法中确定的 TMEM59 基因最近被牵连到淀粉样前体蛋白的翻译后加工中,支持表观遗传变化在 LOAD 病理中的作用。本研究表明,在不考虑与年龄相关的 DNA 甲基化变化的情况下,LOAD 患病组织中存在广泛的、适度的不一致 DNA 甲基化。鉴定 LOAD 风险的表观遗传生物标志物可能为开发新的诊断和治疗靶点提供依据。