Harrison Judith R, Foley Sonya F, Baker Emily, Bracher-Smith Matthew, Holmans Peter, Stergiakouli Evie, Linden David E J, Caseras Xavier, Jones Derek K, Escott-Price Valentina
Institute of Neuroscience, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK.
Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK.
Brain Commun. 2023 Aug 25;5(5):fcad229. doi: 10.1093/braincomms/fcad229. eCollection 2023.
Genome-wide association studies have identified multiple Alzheimer's disease risk loci with small effect sizes. Polygenic risk scores, which aggregate these variants, are associated with grey matter structural changes. However, genome-wide scores do not allow mechanistic interpretations. The present study explored associations between disease pathway-specific scores and grey matter structure in younger and older adults. Data from two separate population cohorts were used as follows: the Avon Longitudinal Study of Parents and Children, mean age 19.8, and UK Biobank, mean age 64.4 (combined = 18 689). Alzheimer's polygenic risk scores were computed using the largest genome-wide association study of clinically assessed Alzheimer's to date. Relationships between subcortical volumes and cortical thickness, pathway-specific scores and genome-wide scores were examined. Increased pathway-specific scores were associated with reduced cortical thickness in both the younger and older cohorts. For example, the reverse cholesterol transport pathway score showed evidence of association with lower left middle temporal cortex thickness in the younger Avon participants ( = 0.034; beta = -0.013, CI -0.025, -0.001) and in the older UK Biobank participants ( = 0.019; beta = -0.003, CI -0.005, -4.56 × 10). Pathway scores were associated with smaller subcortical volumes, such as smaller hippocampal volume, in UK Biobank older adults. There was also evidence of positive association between subcortical volumes in Avon younger adults. For example, the tau protein-binding pathway score was negatively associated with left hippocampal volume in UK Biobank ( = 8.35 × 10; beta = -11.392, CI -17.066, -5.718) and positively associated with hippocampal volume in the Avon study ( = 0.040; beta = 51.952, CI 2.445, 101.460). The immune response score had a distinct pattern of association, being only associated with reduced thickness in the right posterior cingulate in older and younger adults ( = 0.011; beta = -0.003, CI -0.005, -0.001 in UK Biobank; = 0.034; beta = -0.016, CI -0.031, -0.001 in the Avon study). The immune response score was associated with smaller subcortical volumes in the older adults, but not younger adults. The disease pathway scores showed greater evidence of association with imaging phenotypes than the genome-wide score. This suggests that pathway-specific polygenic methods may allow progress towards a mechanistic understanding of structural changes linked to polygenic risk in pre-clinical Alzheimer's disease. Pathway-specific profiling could further define pathophysiology in individuals, moving towards precision medicine in Alzheimer's disease.
全基因组关联研究已经确定了多个效应量较小的阿尔茨海默病风险基因座。聚合这些变异的多基因风险评分与灰质结构变化相关。然而,全基因组评分无法进行机制解释。本研究探讨了疾病通路特异性评分与年轻人和老年人灰质结构之间的关联。使用了来自两个独立人群队列的数据,如下所示:雅芳亲子纵向研究,平均年龄19.8岁,以及英国生物银行,平均年龄64.4岁(合并样本量 = 18689)。使用迄今为止最大规模的临床评估阿尔茨海默病全基因组关联研究来计算阿尔茨海默病多基因风险评分。研究了皮质下体积和皮质厚度、通路特异性评分和全基因组评分之间的关系。在年轻人和老年人群体中,通路特异性评分增加均与皮质厚度降低相关。例如,逆向胆固醇转运通路评分显示,在雅芳年轻参与者中(P = 0.034;β = -0.013,置信区间 -0.025,-0.001)以及在英国生物银行老年参与者中(P = 0.019;β = -0.003,置信区间 -0.005,-4.56×10⁻⁴),与左下颞叶皮质厚度降低存在关联证据。在英国生物银行老年成年人中,通路评分与较小的皮质下体积相关,如较小的海马体积。在雅芳年轻成年人中,也有证据表明皮质下体积之间存在正相关。例如,tau蛋白结合通路评分在英国生物银行中与左海马体积呈负相关(P = 8.35×10⁻⁴;β = -11.392,置信区间 -17.066,-5.718),而在雅芳研究中与海马体积呈正相关(P = 0.040;β = 51.952,置信区间 2.44, 101.46)。免疫反应评分具有独特的关联模式,仅在老年人和年轻人中与右侧后扣带回厚度降低相关(在英国生物银行中P = 0.011;β = -0.003,置信区间 -0.005,-0.001;在雅芳研究中P = 0.034;β = -0.016,置信区间 -0.031,-0.001)。免疫反应评分与老年人的较小皮质下体积相关,但与年轻人无关。与全基因组评分相比,疾病通路评分显示出与影像表型的关联证据更多。这表明通路特异性多基因方法可能有助于在临床前阿尔茨海默病中朝着对与多基因风险相关的结构变化进行机制理解取得进展。通路特异性分析可以进一步明确个体的病理生理学,朝着阿尔茨海默病的精准医学迈进。