The Genetic Architecture Of Multimodal Human Brain Age

This article discusses a study that aimed to uncover the genetic architecture of multimodal brain age and explore the causal relationships between protective/risk factors and decelerated/accelerated brain age. The study used brain MRI scans from the UK Biobank and employed machine learning models to predict brain age. GWAS was also performed to identify genomic loci associated with brain age and post-GWAS analyses were conducted to assess the genetic correlation with brain disorders and calculate polygenic risk scores. Finally, Mendelian Randomization was used to infer potential causal effects of clinical traits and diseases on brain age.