Journal
BIOLOGICAL PSYCHIATRY
Volume 81, Issue 2, Pages 154-161Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.biopsych.2016.02.033
Keywords
Alzheimer's disease; Cingulum; Fornix; Hippocampus; Imaging; Polygenic risk
Categories
Funding
- Institutional Strategic Support Fund [504182]
- Wellcome Trust
- Medical Research Council Grant [MR/K004360/1]
- Swiss National Science Foundation, Switzerland [PBBEP3_144797]
- Neuroscience and Mental Health Research Institute at Cardiff University
- National Centre for Mental Health at Cardiff University
- National Institute for Social Care and Health Research and Welsh Government, Wales [BR09]
- MRC Centre for Neuropsychiatric Genetics and Genomics [G0800509]
- MRC [MR/L023784/2, MR/L023784/1, G0800509, G0300429, MR/K013041/1, MR/K004360/1, G0902227] Funding Source: UKRI
- Alzheimers Research UK [ARUK-PG2014-1] Funding Source: researchfish
- Medical Research Council [MR/L023784/1, G0902227, MR/K004360/1, MR/L501517/1, MR/L023784/2, G0300429, MR/K013041/1, MR/L010305/1] Funding Source: researchfish
- Swiss National Science Foundation (SNF) [PBBEP3_144797] Funding Source: Swiss National Science Foundation (SNF)
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BACKGROUND: Recent genome-wide association studies have identified genetic loci that jointly make a considerable contribution to risk of developing Alzheimer's disease (AD). Because neuropathological features of AD can be present several decades before disease onset, we investigated whether effects of polygenic risk are detectable by neuroimaging in young adults. We hypothesized that higher polygenic risk scores (PRSs) for AD would be associated with reduced volume of the hippocampus and other limbic and paralimbic areas. We further hypothesized that AD PRSs would affect the microstructure of fiber tracts connecting the hippocampus with other brain areas. METHODS: We analyzed the association between AD PRSs and brain imaging parameters using T1-weighted structural (n = 272) and diffusion-weighted scans (n = 197). RESULTS: We found a significant association between AD PRSs and left hippocampal volume, with higher risk associated with lower left hippocampal volume (p = .001). This effect remained when the APOE gene was excluded (p = .031), suggesting that the relationship between hippocampal volume and AD is the result of multiple genetic factors and not exclusively variability in the APOE gene. The diffusion tensor imaging analysis revealed that fractional anisotropy of the right cingulum was inversely correlated with AD PRSs (p = .009). We thus show that polygenic effects of AD risk variants on brain structure can already be detected in young adults. CONCLUSIONS: This finding paves the way for further investigation of the effects of AD risk variants and may become useful for efforts to combine genotypic and phenotypic data for risk prediction and to enrich future prevention trials of AD.
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