ReviewBioMed research international2015
Bridging the gap between statistical and biological epistasis in Alzheimer's disease.
Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Interaction between variants in CLU and MS4A4E modulates Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2016Pooled it
- Evaluation of epistasis detection methods for quantitative phenotypes.Bioinformatics (Oxford, England) · 2026Article
- Extensive genetic interactions (epistasis) linked to alcohol use disorder in a high-risk population.Communications biology · 2026Article
- Genome-wide epistasis analysis reveals significant epistatic signals associated with Parkinson's disease risk.Brain : a journal of neurology · 2025Article
- Leveraging hierarchical structures for genetic block interaction studies using the hierarchical transformer.medRxiv : the preprint server for health sciences · 2025Article
- Genome-Wide Epistasis Study of Cerebrospinal Fluid Hyperphosphorylated Tau in ADNI Cohort.Genes · 2023Article
- A Novel Multitasking Ant Colony Optimization Method for Detecting Multiorder SNP Interactions.Interdisciplinary sciences, computational life sciences · 2022Article
- Maximal Information Coefficient-Based Testing to Identify Epistasis in Case-Control Association Studies.Computational and mathematical methods in medicine · 2022Article
- Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data.Mechanisms of ageing and development · 2021Article
- Emerging roles of rare and low-frequency genetic variants in type 1 diabetes mellitus.Journal of medical genetics · 2021Review
- Roles of interacting stress-related genes in lifespan regulation: insights for translating experimental findings to humans.Journal of translational genetics and genomics · 2021Article
- Incomplete penetrance in familial Alzheimer's disease with PSEN1 Ala260Gly mutation.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020Article
- The MUC6/AP2A2 Locus and Its Relevance to Alzheimer's Disease: A Review.Journal of neuropathology and experimental neurology · 2020Review
- Failure to detect synergy between variants in transferrin and hemochromatosis and Alzheimer's disease in large cohort.Neurobiology of aging · 2020Article
- The combined risk effect among BIN1, CLU, and APOE genes in Alzheimer's disease.Genetics and molecular biology · 2020Article
- Alzheimer Disease Pathology-Associated Polymorphism in a Complex Variable Number of Tandem Repeat Region Within the MUC6 Gene, Near the AP2A2 Gene.Journal of neuropathology and experimental neurology · 2020Article
- Systematic analysis of dark and camouflaged genes reveals disease-relevant genes hiding in plain sight.Genome biology · 2019Article
- How to increase our belief in discovered statistical interactions via large-scale association studies?Human genetics · 2019Review
- Male-specific epistasis between WWC1 and TLN2 genes is associated with Alzheimer's disease.Neurobiology of aging · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Alzheimer's disease affects millions of people worldwide and incidence is expected to rise as the population ages, but no effective therapies exist despite decades of research and more than 20 known disease markers. Research has shown that Alzheimer's disease's missing heritability remains extensive with an estimated 25% of phenotypic variance unexplained by known variants. The missing heritability may be explained by missing variants or by epistasis. Researchers often focus on individual loci rather than epistatic interactions, which is likely an oversimplification of the underlying biology since most phenotypes are affected by multiple genes. Focusing research efforts on epistasis will be critical to resolving Alzheimer's disease etiology, and a major key to identifying and properly interpreting key epistatic interactions will be bridging the gap between statistical and biological epistasis. This review covers the current state of epistasis research in Alzheimer's disease and how researchers can bridge the gap between statistical and biological epistasis to help resolve Alzheimer's disease etiology.
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What OpenQuestion holds
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.