Integration of Structural Variant Data into the NIAGADS Alzheimer's Genomics Database: Enhancing Understanding of Alzheimer's Disease Mechanisms
Identification and analysis of SVs in AD is essential for gaining a more comprehensive understanding of the genetic underpinnings of this complex disease. By making these data accessible and placing them in the broader genomic context, inclusion of the ADSP Structural Variant study results in the GenomicsDB creates a unique and valuable resource for AD-researchers.
Authors
- Živadin Katanić
- Otto Valladares (ORCID: https://orcid.org/0000-0001-8055-2187)
- Po‐Liang Cheng (ORCID: https://orcid.org/0009-0007-0046-0313)
- Sam Tate
- Li‐San Wang
- Emily Greenfest‐Allen
- Wan‐Ping Lee
- Hui Wang
Institutions
- University of Pennsylvania (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_103672
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00