Multivariate non‐parametric GWAS identify novel variants linked to regional WMH via adhesion, membrane organization, and neurodevelopmental pathways
Non-parametric multivariate GWAS effectively identified region-specific genetic vulnerabilities, surpassing traditional methods in detecting significant loci. This approach elucidates critical biological pathways, leading to cerebrovascular burden in at-risk CU individuals, demonstrating the value of advanced statistical models for analyzing critical non-normally distributed endophenotypes related to cognition and AD.
Authors
- Blanca Rodríguez‐Fernández (ORCID: https://orcid.org/0000-0002-5664-111X)
- Jordi Huguet (ORCID: https://orcid.org/0000-0001-8420-4833)
- Tavia E. Evans (ORCID: https://orcid.org/0000-0003-2390-286X)
- Patricia Genius (ORCID: https://orcid.org/0000-0003-1836-5123)
- Natàlia Vilor‐Tejedor (ORCID: https://orcid.org/0000-0003-4935-6721)
- Arcadi Segura i Navarro
- Carolina Minguillón (ORCID: https://orcid.org/0000-0002-2782-6908)
- Diego Garrido‐Martín
- Manel Esteller
- Kahina Baouche
- Juan Domingo Gispert
Institutions
- École Centrale de Nantes (FR)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Josep Carreras Leukaemia Research Institute (ES)
- Pasqual Maragall Foundation (ES)
- Barcelonaβeta Brain Research Center (ES)
- Hospital Del Mar (ES)
- Barcelona Institute of Science and Technology (ES)
- Institut de Biologia Evolutiva (ES)
- Municipal Institute for Medical Research (ES)
- Centre for Genomic Regulation (ES)
- Hospital del Mar Research Institute (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_102780
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00