Cargando…

Association of peripheral blood DNA methylation level with Alzheimer’s disease progression

BACKGROUND: Identifying biomarkers associated with Alzheimer’s disease (AD) progression may enable patient enrichment and improve clinical trial designs. Epigenome-wide association studies have revealed correlations between DNA methylation at cytosine-phosphate-guanine (CpG) sites and AD pathology a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Qingqin S., Vasanthakumar, Aparna, Davis, Justin W., Idler, Kenneth B., Nho, Kwangsik, Waring, Jeffrey F., Saykin , Andrew J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518178/ https://www.ncbi.nlm.nih.gov/pubmed/34654479 http://dx.doi.org/10.1186/s13148-021-01179-2

Ejemplares similares

Integrative analysis of DNA methylation and gene expression identifies genes associated with biological aging in Alzheimer's disease
por: Kim, Bo‐Hyun, et al.
Publicado: (2022)

Harnessing peripheral DNA methylation differences in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to reveal novel biomarkers of disease
por: Vasanthakumar, Aparna, et al.
Publicado: (2020)

Multi-task deep autoencoder to predict Alzheimer’s disease progression using temporal DNA methylation data in peripheral blood
por: Chen, Li, et al.
Publicado: (2022)

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
por: Jo, Taeho, et al.
Publicado: (2019)

Dysregulated expression levels of APH1B in peripheral blood are associated with brain atrophy and amyloid-β deposition in Alzheimer’s disease
por: Park, Young Ho, et al.
Publicado: (2021)

Deep learning detection of informative features in tau PET for Alzheimer’s disease classification
por: Jo, Taeho, et al.
Publicado: (2020)

Myelin repair in Alzheimer’s disease: a review of biological pathways and potential therapeutics
por: Hirschfeld, Lauren Rose, et al.
Publicado: (2022)

Association of blood-based transcriptional risk scores with biomarkers for Alzheimer disease
por: Park, Young Ho, et al.
Publicado: (2020)

Identification of functionally connected multi-omic biomarkers for Alzheimer’s disease using modularity-constrained Lasso
por: Xie, Linhui, et al.
Publicado: (2020)

Predicting Alzheimer’s disease progression using multi-modal deep learning approach
por: Lee, Garam, et al.
Publicado: (2019)

Genetic variation affecting exon skipping contributes to brain structural atrophy in Alzheimer’s disease
por: Lee, Younghee, et al.
Publicado: (2018)

Association of the top 20 Alzheimer's disease risk genes with [(18)F]flortaucipir PET
por: Stage, Eddie, et al.
Publicado: (2022)

Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus
por: Han, Seonggyun, et al.
Publicado: (2019)

Genome-Wide Association Analysis across Endophenotypes in Alzheimer’s Disease: Main Effects and Disease Stage-Specific Interactions
por: Rosewood, Thea J., et al.
Publicado: (2023)

Integrative analysis of eQTL and GWAS summary statistics reveals transcriptomic alteration in Alzheimer brains
por: Varathan, Pradeep, et al.
Publicado: (2022)

Systems modeling of white matter microstructural abnormalities in Alzheimer's disease
por: Horgusluoglu-Moloch, Emrin, et al.
Publicado: (2020)

Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease
por: Yan, Jingwen, et al.
Publicado: (2015)

Differential co-expression analysis reveals early stage transcriptomic decoupling in alzheimer’s disease
por: Upadhyaya, Yurika, et al.
Publicado: (2020)

Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study
por: Varma, Vijay R., et al.
Publicado: (2018)

Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach
por: Lee, Garam, et al.
Publicado: (2023)

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease
por: Kim, Dokyoon, et al.
Publicado: (2017)

BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease
por: Kim, Jun Pyo, et al.
Publicado: (2021)

Alternative Splicing Regulation of an Alzheimer’s Risk Variant in CLU
por: Han, Seonggyun, et al.
Publicado: (2020)

Sets of coregulated serum lipids are associated with Alzheimer's disease pathophysiology
por: Barupal, Dinesh Kumar, et al.
Publicado: (2019)

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs
por: Wang, Hua, et al.
Publicado: (2012)

Correction to: BMI1 is associated with CSF amyloid-β and rates of cognitive decline in Alzheimer’s disease
por: Kim, Jun Pyo, et al.
Publicado: (2022)

Predictability of polygenic risk score for progression to dementia and its interaction with APOE ε4 in mild cognitive impairment
por: Pyun, Jung-Min, et al.
Publicado: (2021)

Common DNA methylation alterations of Alzheimer's disease and aging in peripheral whole blood
por: Li, Hongdong, et al.
Publicado: (2016)

Peripheral blood DNA methylation differences in twin pairs discordant for Alzheimer’s disease
por: Konki, Mikko, et al.
Publicado: (2019)

Immunity gene IFITM3 variant: Relation to cognition and Alzheimer's disease pathology
por: Pyun, Jung‐Min, et al.
Publicado: (2022)

Identification of HLA-DRB1 association to adalimumab immunogenicity
por: Liu, Mohan, et al.
Publicado: (2018)

miR-129-5p as a biomarker for pathology and cognitive decline in Alzheimer’s disease
por: Han, Sang-Won, et al.
Publicado: (2023)

Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer’s disease
por: Miller, Jason E., et al.
Publicado: (2018)

Reduced ITPase activity and favorable IL28B genetic variant protect against ribavirin-induced anemia in interferon-free regimens
por: Vasanthakumar, Aparna, et al.
Publicado: (2018)

Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data
por: Jo, Taeho, et al.
Publicado: (2023)

An interpretable Alzheimer’s disease oligogenic risk score informed by neuroimaging biomarkers improves risk prediction and stratification
por: Suh, Erica H., et al.
Publicado: (2023)

Epigenome-wide association study of Alzheimer’s disease replicates 22 differentially methylated positions and 30 differentially methylated regions
por: Li, Qingqin S., et al.
Publicado: (2020)

Fused multi-modal similarity network as prior in guiding brain imaging genetic association
por: He, Bing, et al.
Publicado: (2023)

Concordant peripheral lipidome signatures in two large clinical studies of Alzheimer’s disease
por: Huynh, Kevin, et al.
Publicado: (2020)

The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism
por: Stage, Eddie, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_lf88t96ttdbrbrkiurfuvpkqlq