Refining Genetic Risk Factors for Alzheimer's Disease: Insights from Neuropathology‐Driven GWAS
Despite the sample size constraints inherent in a neuropathological cohort, we identified genome-wide significant associations with AD-related lesions by controlling for phenotypic heterogeneity. The results from our QTL analysis highlight the molecular relevance of several loci and suggest potential novel risk genes. Moving forward, we will prioritize replication and meta-analysis in independent cohorts where feasible, followed by functional validation and targeted resequencing to gain a more comprehensive understanding of the implicated regions.
Authors
- Alicja Ronisz (ORCID: https://orcid.org/0000-0002-4310-0445)
- Klara Gawor (ORCID: https://orcid.org/0000-0001-7571-5420)
- Dietmar Rudolf Thal (ORCID: https://orcid.org/0000-0002-1036-1075)
- Fahri Küçükali (ORCID: https://orcid.org/0000-0002-3835-9639)
- Markus Otto (ORCID: https://orcid.org/0000-0003-4273-4267)
- Michael A. van Es (ORCID: https://orcid.org/0000-0002-7709-5883)
- Celeste Laureyssen (ORCID: https://orcid.org/0000-0002-7373-2099)
- Kristel Sleegers
- Christine A.F. von Arnim
- Jasper Van Dongen
- Rik Vandenberghe
Institutions
- Allen Institute for Brain Science (US)
- University of Antwerp (BE)
- Universitair Ziekenhuis Leuven (BE)
- Universitätsmedizin Göttingen (DE)
- VIB-UAntwerp Center for Molecular Neurology (BE)
- VIB-KU Leuven Center for Brain & Disease Research (BE)
- University Hospital Ulm (DE)
- KU Leuven (BE)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_102672
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00