[5] By combining the outputs of the polygenic and neuro-imaging within a linear model, it has been shown that genetic information provides additive value in the task of predicting Alzheimer's disease (AD).
The CLU gene risk variant showed a distinct profile of lower white matter integrity that may increase vulnerability to developing AD later in life.
[7] Each CLU-C allele was associated with lower FA in frontal, temporal, parietal, occipital, and subcortical white matter.
[7] CLU-C related variability found here might create a local vulnerability important for disease onset.
[9] Additionally, the field of imaging epigenetics is emerging with particular relevance, for example, to the understanding of intergenerational transmission of trauma-related psychopathology and related disturbances of maternal care.