Neurobiology of AgingGeneticsPeer-reviewed journal article
Mitonuclear interactions influence Alzheimer’s disease risk
Shea J. AndrewsiD, Brian Fulton‐HowardiD, Christopher PattersoniD, G. Peggy McFalliD, Alden L. GrossiD, Elias K. Michaelis, Alison GoateiD, Russell Howard SwerdlowiD, Judy PaiD, for the Alzheimer’s Disease Neuroimaging Initiative
Abstract
We examined the associations between mitochondrial DNA haplogroups (MT-hg) and their interactions with a polygenic risk score based on nuclear-encoded mitochondrial genes (nMT-PRS) with risk of dementia and age of onset of dementia (AOO). Logistic regression was used to determine the effect of MT-hgs and nMT-PRS on dementia at baseline (332 controls / 204 cases). Cox proportional hazards models were used to model dementia AOO (n=1047; 433 incident cases). Additionally, we tested for interactions between MT-hg and nMT-PRS in the logistic and Cox models. MT-hg K and a one SD larger nMT-PRS were associated with elevated odds of dementia. Significant antagonistic interactions between the nMT-PRS and MT-hg K and T were observed. Individual MT-hg were not associated with AOO; however, a significant antagonistic interactions was observed between the nMT-PRS and MT-hg T and a synergistic interaction between the nMT-PRS and MT-hg V. These results suggest that MT-hgs influence dementia risk, and that variants in the nuclear and mitochondrial genome interact to influence the age of onset of dementia.\n\nHighlightsO_LIMitochondrial dysfunction has been proposed to influence dementia risk\nC_LIO_LIMT-hg K and T interacted with a genetic risk score to reduce dementia risk\nC_LIO_LIMT-hg T and V interacted with a genetic risk score to influence dementia age of onset\nC_LI
- organism: human
- assay: DNA methylation
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 34
- FWCI
- 3.58
- Field percentile
- top 7%
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