Longitudinal Modelling for Single Nucleotide Polymorphism Associations with Alzheimer’s Disease - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Longitudinal Modelling for Single Nucleotide Polymorphism Associations with Alzheimer’s Disease

Résumé

Robust associations between genetic traits and neurodegenerative pathologies have been established thanks to the advent of GWAS. Meta-analysis incorporating tens of thousands of subjects allowed to discover hundreds of genetic loci associated with the diagnosis of diseases such as Alzheimer's Disease. Our aim is to identify associations between SNPs and longitudinal features of the disease progression, such as speed of progression, feature-specific dynamic patterns, etc. A finer understanding of the link between SNPs and disease progression could help design new polygenic risk scores, targeting not the diagnosis, but rather for instance progression speed, hence allowing for higher-powered clinical trials for instance.
Fichier principal
Vignette du fichier
AAIC_2023_Nemo_Fournier_abstract.pdf (81.72 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04169631 , version 1 (24-07-2023)

Identifiants

  • HAL Id : hal-04169631 , version 1

Citer

Nemo Fournier, Stanley Durrleman. Longitudinal Modelling for Single Nucleotide Polymorphism Associations with Alzheimer’s Disease. AAIC 2023 — Alzheimer's Association International Conference, Jul 2023, Amsterdam, Netherlands. ⟨hal-04169631⟩
38 Consultations
12 Téléchargements

Partager

Gmail Facebook X LinkedIn More