AAIC 2025 Abstract
Integration of Structural Variant Data into the NIAGADS Alzheimer's Genomics Database: Enhancing Understanding of Alzheimer's Disease Mechanisms
Computational studyAI & data
Abstract
Background: Structural variants (SVs) are large genomic alterations that can profoundly impact disease risk by disrupting gene function and regulation. Despite this, their role in Alzheimer's disease (AD) remains understudied due to challenges to accurate detection and prediction of potential impact.
