Roshchupkin Gennady V, Adams Hieab H, van der Lee Sven J, Vernooij Meike W, van Duijn Cornelia M, Uitterlinden Andre G, van der Lugt Aad, Hofman Albert, Niessen Wiro J, Ikram Mohammad A
Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands; Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands.
Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
Neurobiol Aging. 2016 Dec;48:204-211. doi: 10.1016/j.neurobiolaging.2016.08.024. Epub 2016 Sep 4.
The neural substrate of genetic risk variants for Alzheimer's disease (AD) remains unknown. We studied their effect on healthy brain morphology to provide insight into disease etiology in the preclinical phase. We included 4071 nondemented, elderly participants of the population-based Rotterdam Study who underwent brain magnetic resonance imaging and genotyping. We performed voxel-based morphometry (VBM) on all gray-matter voxels for 19 previously identified, common AD risk variants. Whole-brain expression data from the Allen Human Brain Atlas was used to examine spatial overlap between VBM association results and expression of genes in AD risk loci regions. Brain regions most significantly associated with AD risk variants were the left postcentral gyrus with ABCA7 (rs4147929, p = 4.45 × 10), right superior frontal gyrus by ZCWPW1 (rs1476679, p = 5.12 × 10), and right postcentral gyrus by APOE (p = 6.91 × 10). Although no individual voxel passed multiple-testing correction, we found significant spatial overlap between the effects of AD risk loci on VBM and the expression of genes (MEF2C, CLU, and SLC24A4) in the Allen Brain Atlas. Results are available online on www.imagene.nl/ADSNPs/. In this single largest imaging genetics data set worldwide, we found that AD risk loci affect cortical gray matter in several brain regions known to be involved in AD, as well as regions that have not been implicated before.
阿尔茨海默病(AD)遗传风险变异的神经基础尚不清楚。我们研究了它们对健康脑形态的影响,以深入了解临床前期疾病的病因。我们纳入了基于人群的鹿特丹研究中的4071名无痴呆的老年参与者,他们接受了脑磁共振成像和基因分型。我们对19个先前确定的常见AD风险变异的所有灰质体素进行了基于体素的形态学测量(VBM)。使用来自艾伦人脑图谱的全脑表达数据来检查VBM关联结果与AD风险基因座区域中基因表达之间的空间重叠。与AD风险变异最显著相关的脑区是与ABCA7相关的左侧中央后回(rs4147929,p = 4.45×10)、与ZCWPW1相关的右侧额上回(rs1476679,p = 5.12×10)以及与APOE相关的右侧中央后回(p = 6.91×10)。尽管没有单个体素通过多重检验校正,但我们发现AD风险基因座对VBM的影响与艾伦脑图谱中基因(MEF2C、CLU和SLC24A4)的表达之间存在显著的空间重叠。结果可在www.imagene.nl/ADSNPs/在线获取。在这个全球最大的成像遗传学数据集中,我们发现AD风险基因座会影响几个已知与AD相关的脑区以及之前未涉及的脑区的皮质灰质。