Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA.
Cereb Cortex. 2012 Nov;22(11):2653-61. doi: 10.1093/cercor/bhr348. Epub 2011 Dec 13.
Late-onset Alzheimer's disease (AD) is 50-70% heritable with complex genetic underpinnings. In addition to Apoliprotein E (APOE) ε4, the major genetic risk factor, recent genome-wide association studies (GWAS) have identified a growing list of sequence variations associated with the disease. Building on a prior large-scale AD GWAS, we used a recently developed analytic method to compute a polygenic score that involves up to 26 independent common sequence variants and is associated with AD dementia, above and beyond APOE. We then examined the associations between the polygenic score and the magnetic resonance imaging-derived thickness measurements across AD-vulnerable cortex in clinically normal (CN) human subjects (N = 104). AD-specific cortical thickness was correlated with the polygenic risk score, even after controlling for APOE genotype and cerebrospinal fluid (CSF) levels of β-amyloid (Aβ(1-42)). Furthermore, the association remained significant in CN subjects with levels of CSF Aβ(1-)(42) in the normal range and in APOE ε3 homozygotes. The observation that genetic risk variants are associated with thickness across AD-vulnerable regions of interest in CN older individuals, suggests that the combination of polygenic risk profile, neuroimaging, and CSF biomarkers may hold synergistic potential to aid in the prediction of future cognitive decline.
迟发性阿尔茨海默病(AD)的遗传率为 50-70%,其遗传基础复杂。除了载脂蛋白 E(APOE)ε4 这一主要遗传风险因素外,最近的全基因组关联研究(GWAS)已经确定了越来越多与该疾病相关的序列变异。在先前的一项大规模 AD GWAS 基础上,我们使用了一种新开发的分析方法,计算出一种多基因评分,该评分涉及多达 26 个独立的常见序列变异,与 AD 痴呆相关,超过了 APOE。然后,我们在临床正常(CN)人类受试者(N=104)的 AD 易损脑区的磁共振成像(MRI)衍生厚度测量中检查了多基因评分与该厚度之间的相关性。即使在控制 APOE 基因型和脑脊液(CSF)β-淀粉样蛋白(Aβ(1-42)水平后,AD 特异性皮质厚度仍与多基因风险评分相关。此外,在 CSF Aβ(1-)(42)水平处于正常范围的 CN 受试者和 APOE ε3 纯合子中,该关联仍然显著。遗传风险变异与 CN 老年个体 AD 易损感兴趣区域的厚度相关的观察结果表明,多基因风险概况、神经影像学和 CSF 生物标志物的结合可能具有协同潜力,有助于预测未来的认知能力下降。