“…Furthermore, the application of polygenic score models can help refine the results of genetic analyses based on control cohorts (i.e., controls in whom the disease of interest has not been investigated in detail) by ruling out individuals at risk of developing diseases (Escott-Price et al, 2019a). Moreover, polygenic score models may be used to define an individual's risk of having a specific neurodegenerative disease, as studies have demonstrated that such models (or the genotyping of specific variants) can predict the risk of Parkinson's disease (Nalls et al, 2016), Huntington's disease (Kremer et al, 1994), amyotrophic lateral sclerosis (Saez-Atienzar et al, 2021), and multiple sclerosis (The International Multiple Sclerosis Genetics Consortium (IMSGC), 2010). In addition, polygenic score models may help estimate the effects of aging on disease risk.…”