Cargando…

ANMerge: A Comprehensive and Accessible Alzheimer’s Disease Patient-Level Dataset

BACKGROUND: Accessible datasets are of fundamental importance to the advancement of Alzheimer’s disease (AD) research. The AddNeuroMed consortium conducted a longitudinal observational cohort study with the aim to discover AD biomarkers. During this study, a broad selection of data modalities was me...

Descripción completa

Detalles Bibliográficos
Autores principales:	Birkenbihl, Colin, Westwood, Sarah, Shi, Liu, Nevado-Holgado, Alejo, Westman, Eric, Lovestone, Simon, Hofmann-Apitius, Martin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	IOS Press 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902946/ https://www.ncbi.nlm.nih.gov/pubmed/33285634 http://dx.doi.org/10.3233/JAD-200948

Ejemplares similares

Evaluating the Alzheimer's disease data landscape
por: Birkenbihl, Colin, et al.
Publicado: (2020)

Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
por: Birkenbihl, Colin, et al.
Publicado: (2020)

Determining the Molecular Pathways Underlying the Protective Effect of Non-Steroidal Anti-Inflammatory Drugs for Alzheimer's Disease: A Bioinformatics Approach
por: Nevado-Holgado, Alejo J, et al.
Publicado: (2016)

ADataViewer: exploring semantically harmonized Alzheimer’s disease cohort datasets
por: Salimi, Yasamin, et al.
Publicado: (2022)

Red blood cell indices and anaemia as causative factors for cognitive function deficits and for Alzheimer’s disease
por: Winchester, Laura M., et al.
Publicado: (2018)

Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer’s disease
por: Golriz Khatami, Sepehr, et al.
Publicado: (2022)

Challenges of Integrative Disease Modeling in Alzheimer's Disease
por: Golriz Khatami, Sepehr, et al.
Publicado: (2020)

Commonly prescribed drugs associate with cognitive function: a cross-sectional study in UK Biobank
por: Nevado-Holgado, Alejo J, et al.
Publicado: (2016)

Genetic and Real-World Clinical Data, Combined with Empirical Validation, Nominate Jak-Stat Signaling as a Target for Alzheimer’s Disease Therapeutic Development
por: Nevado-Holgado, Alejo J., et al.
Publicado: (2019)

Comorbidity between Alzheimer’s disease and major depression: a behavioural and transcriptomic characterization study in mice
por: Martín-Sánchez, Ana, et al.
Publicado: (2021)

Forecasting individual progression trajectories in Alzheimer’s disease
por: Maheux, Etienne, et al.
Publicado: (2023)

The influence of insulin resistance on cerebrospinal fluid and plasma biomarkers of Alzheimer’s pathology
por: Westwood, Sarah, et al.
Publicado: (2017)

Blood-Based Proteomic Biomarkers of Alzheimer’s Disease Pathology
por: Baird, Alison L., et al.
Publicado: (2015)

NRF2 deficiency replicates transcriptomic changes in Alzheimer's patients and worsens APP and TAU pathology
por: Rojo, Ana I., et al.
Publicado: (2017)

Cross-sectional and longitudinal analyses of outdoor air pollution exposure and cognitive function in UK Biobank
por: Cullen, Breda, et al.
Publicado: (2018)

CLEP: a hybrid data- and knowledge-driven framework for generating patient representations
por: Bharadhwaj, Vinay Srinivas, et al.
Publicado: (2021)

A Decade of Blood Biomarkers for Alzheimer’s Disease Research: An Evolving Field, Improving Study Designs, and the Challenge of Replication
por: Shi, Liu, et al.
Publicado: (2018)

Plasma Proteomic Biomarkers Relating to Alzheimer’s Disease: A Meta-Analysis Based on Our Own Studies
por: Shi, Liu, et al.
Publicado: (2021)

Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks
por: Zhang, Yuting, et al.
Publicado: (2022)

Virtual Connectomic Datasets in Alzheimer’s Disease and Aging Using Whole-Brain Network Dynamics Modelling
por: Arbabyazd, Lucas, et al.
Publicado: (2021)

Association between Plasma Ceramides and Phosphatidylcholines and Hippocampal Brain Volume in Late Onset Alzheimer’s Disease
por: Kim, Min, et al.
Publicado: (2017)

Unreliable Evidence: 2 Sources of Uncertainty During Perceptual Choice
por: Michael, Elizabeth, et al.
Publicado: (2015)

Genome‐ and epigenome‐wide studies of plasma protein biomarkers for Alzheimer's disease implicate TBCA and TREM2 in disease risk
por: Hillary, Robert F., et al.
Publicado: (2022)

Predicting progression to Alzheimer’s disease with human hippocampal progenitors exposed to serum
por: Maruszak, Aleksandra, et al.
Publicado: (2023)

Effective connectivity of the subthalamic nucleus–globus pallidus network during Parkinsonian oscillations
por: Nevado-Holgado, Alejo J, et al.
Publicado: (2014)

A plasma protein classifier for predicting amyloid burden for preclinical Alzheimer’s disease
por: Ashton, Nicholas J., et al.
Publicado: (2019)

Blood biomarkers for Alzheimer’s disease
por: Lovestone, Simon
Publicado: (2014)

STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs
por: Balabin, Helena, et al.
Publicado: (2022)

Stability of graph theoretical measures in structural brain networks in Alzheimer’s disease
por: Mårtensson, Gustav, et al.
Publicado: (2018)

Urinary metabolic phenotyping for Alzheimer’s disease
por: Kurbatova, Natalja, et al.
Publicado: (2020)

Predicting Progression of Alzheimer’s Disease Using Ordinal Regression
por: Doyle, Orla M., et al.
Publicado: (2014)

Inflammatory biomarkers in Alzheimer's disease plasma
por: Morgan, Angharad R., et al.
Publicado: (2019)

Fleshing out the amyloid cascade hypothesis: the molecular biology of Alzheimer's disease
por: Lovestone, Simon
Publicado: (2000)

Linking hypothetical knowledge patterns to disease molecular signatures for biomarker discovery in Alzheimer’s disease
por: Malhotra, Ashutosh, et al.
Publicado: (2014)

Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model
por: Liu, Qiang, et al.
Publicado: (2022)

The Effect of Age Correction on Multivariate Classification in Alzheimer’s Disease, with a Focus on the Characteristics of Incorrectly and Correctly Classified Subjects
por: Falahati, Farshad, et al.
Publicado: (2015)

Exploring novel mechanistic insights in Alzheimer’s disease by assessing reliability of protein interactions
por: Malhotra, Ashutosh, et al.
Publicado: (2015)

The GSK3 hypothesis of Alzheimer's disease
por: Hooper, Claudie, et al.
Publicado: (2008)

Comorbidity Analysis between Alzheimer’s Disease and Type 2 Diabetes Mellitus (T2DM) Based on Shared Pathways and the Role of T2DM Drugs
por: Karki, Reagon, et al.
Publicado: (2017)

Integrative data semantics through a model-enabled data stewardship
por: Wegner, Philipp, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_r5snvm1g9gnfosbttf6vcdicra