Genetics and Genomics of Late‐Onset Alzheimer′s Disease and Its Endophenotypes
Bibliographic record
Abstract
Late-onset Alzheimer's disease is the most common cause of dementia in western societies. Despite remarkable achievements in human genetics over the years, in particular, technological advances in gene mapping and in statistical methods, to date only a small proportion of the genetic contribution to Alzheimer's disease can be explained. One reason for the difficulty in gene identification is that Alzheimer's disease is a complex disorder in which multiple genes with small individual effects as well as environmental factors are likely to contribute to disease risk as well as the various quantitative traits associated with the disease such as age-of-onset, cognition, neuropsychiatric symptoms, amyloid/tau pathology, or structural brain changes. Identifying the genetic factors modulating changes in these individual endophenotypes would help elucidate disease pathogenesis. In this special issue on genetics and genomics of Alzheimer's disease and its endophenotypes, we have invited a few papers that address this issue. The first two articles address the impact of APOE genotype, the best established Alzheimer's disease susceptibility gene, on neuropsychiatric endophenotypes associated with Alzheimer's disease including psychosis, late-life depression, anxiety, apathy, hallucinations, agitation, and aggressiveness. The third paper examines the effect of an intron 7 polymorphism in the amyloid precursor protein (APP) on the age of onset of Alzheimer's disease in persons with Down syndrome. The fourth and fifth papers explore mechanisms modulating components of the amyloid cascade pathway, focusing, in particular, on the APP intracellular domain (AICD), which is an end product of the proteolytic cleavage of APP by β- and γ-secretase. In the first of these two papers, Ansaloni et al. evaluated the effect of NTRK2 which encodes the TrkB receptor on APP metabolism and AICD levels. TrkB is a member of the tyrosine kinase receptor family and binds specifically to brain-derived neurotrophic factor (BDNF). The paper reports on the effects of different TrkB isoforms on APP metabolism in the human neuroblastoma cell line. In the other paper, Raychaudhuri et al. examined the impact of overexpression of AICD on expression of proteins that are part of pathways involved in neurodegeneration and neuroregeneration. Finally, the sixth paper reviews the findings of genome-wide association studies (GWAS) that tested whether SNPs in the top-ranked Alzheimer's disease-related candidate genes were associated with various brain imaging endophenotypes including the volumes of the temporal lobe, hippocampus, amygdale, and frontal lobe, as well as grey matter density, entorhinal cortex thickness, and white matter integrity. In addition, this article discusses multigene and more complex genetic models as a means to identify genetic contributions to Alzheimer's disease. Christiane Reitz Ekaterina Rogaeva Tatiana Foroud Lindsay A. Farrer
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".