Article
Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores From Genetically Correlated Phenotypes.
American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics - 1 Dec 2025
Barnett Eric J, Zhang-James Yanli, Faraone Stephen V
Abstract excerpt
Polygenic risk scores (PRSs), which sum the effects of SNPs throughout the genome to measure risk afforded by common genetic variants, have improved our ability to estimate disorder risk for Attention-Deficit/Hyperactivity Disorder (ADHD) but the accuracy of risk prediction is rarely investigated. In a study of 10,887 participants across nine cohorts, we performed gene set analysis of GWAS data to select gene...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
