Gillespie Nathan A, Hatton Sean N, Hagler Donald J, Dale Anders M, Elman Jeremy A, McEvoy Linda K, Eyler Lisa T, Fennema-Notestine Christine, Logue Mark W, McKenzie Ruth E, Puckett Olivia K, Tu Xin M, Whitsel Nathan, Xian Hong, Reynolds Chandra A, Panizzon Matthew S, Lyons Michael J, Neale Michael C, Kremen William S, Franz Carol
Virginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.
QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Front Aging Neurosci. 2022 Apr 15;14:831002. doi: 10.3389/fnagi.2022.831002. eCollection 2022.
Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimer's Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise, the degree to which genetic influences in PBA are longitudinally stable and how PBA changes over time are also unknown. We analyzed data from 734 men from the Vietnam Era Twin Study of Aging with repeated MRI assessments between the ages 51-72 years. Biometrical genetic analyses "twin models" revealed significant and highly correlated estimates of additive genetic heritability ranging from 59 to 75%. Multivariate longitudinal modeling revealed that covariation between PBA at different timepoints could be explained by a single latent factor with 73% heritability. Our results suggest that genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and are largely explained by common genetic influences.
磁共振成像数据正被用于统计模型中以预测大脑衰老（PBA），并作为神经退行性疾病（如阿尔茨海默病）的生物标志物。尽管其应用日益广泛，但全球PBA指数的遗传和环境病因尚不清楚。同样，PBA中遗传影响的纵向稳定性程度以及PBA随时间如何变化也不清楚。我们分析了来自越南时代双胞胎衰老研究的734名男性的数据，这些男性在51至72岁之间进行了多次MRI评估。生物统计学遗传分析“双胞胎模型”显示，加性遗传 heritability 的估计值显著且高度相关，范围从59%到75%。多变量纵向建模显示，不同时间点的PBA之间的协变可以由一个具有73% heritability 的单一潜在因素来解释。我们的结果表明，对PBA的遗传影响在中年或更早时就可检测到，纵向非常稳定，并且在很大程度上由常见的遗传影响所解释。
