Cargando…
Identification of highly reliable risk genes for Alzheimer’s disease through joint-tissue integrative analysis
Numerous genetic variants associated with Alzheimer’s disease (AD) have been identified through genome-wide association studies (GWAS), but their interpretation is hindered by the strong linkage disequilibrium (LD) among the variants, making it difficult to identify the causal variants directly. To...
Autores principales: | Wang, Yong Heng, Luo, Pan Pan, Geng, Ao Yi, Li, Xinwei, Liu, Tai-Hang, He, Yi Jie, Huang, Lin, Tang, Ya Qin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320295/ https://www.ncbi.nlm.nih.gov/pubmed/37416324 http://dx.doi.org/10.3389/fnagi.2023.1183119 |
Ejemplares similares
-
Integrated analysis and identification of hub genes as novel biomarkers for Alzheimer’s disease
por: Zhao, Kun, et al.
Publicado: (2022) -
Identification of diagnostic signatures associated with immune infiltration in Alzheimer’s disease by integrating bioinformatic analysis and machine-learning strategies
por: Tian, Yu, et al.
Publicado: (2022) -
Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction
por: Zhang, Ziming, et al.
Publicado: (2014) -
Identification of diagnostic biomarkers in Alzheimer’s disease by integrated bioinformatic analysis and machine learning strategies
por: Jin, Boru, et al.
Publicado: (2023) -
Integrated bioinformatics-based identification of diagnostic markers in Alzheimer disease
por: Chen, Danmei, et al.
Publicado: (2022)