ReviewAnnals of the New York Academy of Sciences2009
Use of genetic variation as biomarkers for Alzheimer's disease.
Review in Annals of the New York Academy of Sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06275243 (Alzheimer's Disease as a Sociosanitary Priority), which is not on this map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Alzheimer's Disease as a Sociosanitary Priority: ApoE Gene Polymorphism
Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- ABCA7-dependent induction of neuropeptide Y is required for synaptic resilience in Alzheimer's disease through BDNF/NGFR signaling.Cell genomics · 2024Article
- Article
- A Comprehensive Machine Learning Framework for the Exact Prediction of the Age of Onset in Familial and Sporadic Alzheimer's Disease.Diagnostics (Basel, Switzerland) · 2021Article
- A candidate gene study of risk for dementia in older, postmenopausal women: Results from the Women's Health Initiative Memory Study.International journal of geriatric psychiatry · 2019Article
- The Genetic Architecture of Murine Glutathione Transferases.PloS one · 2016Article
- The genetics of Alzheimer's disease.Clinical interventions in aging · 2014Review
- Opposing actions of environmental enrichment and Alzheimer's disease on the expression of hippocampal microRNAs in mouse models.Translational psychiatry · 2013Article
- Correlation of Alzheimer disease neuropathologic changes with cognitive status: a review of the literature.Journal of neuropathology and experimental neurology · 2012Review
- Genetics of age-related macular degeneration: current concepts, future directions.Seminars in ophthalmology · 2011Review
- Genetic background modifies neurodegeneration and neuroinflammation driven by misfolded human tau protein in rat model of tauopathy: implication for immunomodulatory approach to Alzheimer's disease.Journal of neuroinflammation · 2010Article
- Association between NMDA receptor subunit 2b gene polymorphism and Alzheimer's disease in Chinese Han population in Shanghai.Neuroscience bulletin · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Late-onset Alzheimer's disease (LOAD) is the most common cause of late-onset dementia in western societies. Despite remarkable achievements in human genetics throughout the years, in particular technological advances in gene mapping and in statistical methods that relate genetic variants to disease, to date only a small proportion of the genetic contribution to LOAD can be explained leaving several remaining genetic risk factors to be identified. A possible explanation for the difficulty in gene identification is that LOAD is a multifactorial complex disorder with both genetic and environmental components. Multiple genes with small effects each ("quantitative trait loci"[QTLs]) are likely to contribute to the quantitative traits associated with the disease, such as memory performance, amyloid/tau pathology, or hippocampal atrophy. The motivation for identifying the genetics of LOAD is clear. Not only could it shed light on disease pathogenesis, but it may also provide potential targets for effective treatment, screening, and prevention. Here, we review the usefulness of genetic variation as diagnostic tools and biomarkers in LOAD and discuss the potentials and difficulties researchers face in designing appropriate studies for gene discovery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.