AI Article Synopsis
- Magnetic resonance imaging data is being used to predict brain aging and act as biomarkers for neurodegenerative diseases like Alzheimer's, but the genetic and environmental factors influencing this are still poorly understood.
- A study involving 734 men from the Vietnam Era Twin Study of Aging indicated that genetic heritability estimates for global brain aging (PBA) range from 59% to 75%.
- Findings suggest that genetic influences on PBA are noticeable by midlife, are stable over time, and primarily arise from shared genetic factors.
Article Abstract
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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051484 | PMC |
| http://dx.doi.org/10.3389/fnagi.2022.831002 | DOI Listing |
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