G. Bragi Walters

The paper develops a convolutional neural network to automate CNV validation, achieving high accuracy comparable to human visual inspection.

This study identifies 118 new genetic loci associated with Alzheimer's disease across diverse ancestries and discovers 48 novel risk loci, including those enriched in neuronal cell types.

The paper identifies five genomic factors explaining most genetic variance across 14 psychiatric disorders and finds shared and disorder-specific genetic signals with distinct biological functions.

The paper analyzes exome data from 22,319 individuals to identify rare CNVs and 22q11.21 dosage as risk factors for Alzheimer's disease.

This paper identifies shared genetic risk loci between ADHD, cannabis use disorder, and cannabis use, and predicts cannabis use disorder risk in ADHD using polygenic scores.

This study identifies 64 new risk loci for major depression, refines its genetic architecture, and shows strong genetic overlap with other psychiatric disorders and educational attainment.

This study examines genetic liability for psychiatric disorders using disorder-specific and transdiagnostic frameworks, finding that depression PRS is associated with multiple disorders and uncovering four functional domains aligning with RDoC.

The paper analyzes diffusion tensor imaging data from UK Biobank to show that 15q11.2 copy-number variation affects white matter and is associated with cognitive performance.

This paper uses deep learning to predict brain age from MRI scans and identifies genetic variants associated with the predicted age difference.

This study identifies five genome-wide significant loci and seven shared with other traits in a large ASD GWAS, highlighting polygenic heterogeneity and the value of large-scale GWAS in ASD.

Genome-wide association meta-analysis of 20,183 ADHD cases and 35,191 controls finds 12 significant loci; signal concentrates in conserved regions, constrained genes, and CNS regulatory elements.