Alexandra Baousi

This study uses Mendelian randomisation and causal network analysis to evaluate the causal effects of phenotypic age acceleration and metabolic health on dementia, finding no evidence of a causal effect but identifying key biomarkers.

This study evaluates when nonlinear machine learning methods outperform standard polygenic risk scores, finding their effectiveness depends on genetic architecture and sample size.