ReviewCurrent neurology and neuroscience reports2017
Genetics of Alzheimer's Disease: the Importance of Polygenic and Epistatic Components.
Review in Current neurology and neuroscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses 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.
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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.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Interpretation of risk loci from genome-wide association studies of Alzheimer's disease.The Lancet. Neurology · 2020Pooled it
- Evaluation of the Genetic Variance of Alzheimer's Disease Explained by the Disease-Associated Chromosomal Regions.Journal of Alzheimer's disease : JAD · 2019Pooled it
- Complex Regulatory Interactions at GDF5 Shape Joint Morphology and Osteoarthritis Disease Risk.Arthritis & rheumatology (Hoboken, N.J.) · 2025Article
- The APOE ε4 allele affects the survival of patients with Parkinson's disease independent of dementia.Journal of translational medicine · 2025Article
- Shorter Telomere Length in Individuals with Neurocognitive Disorder andInternational journal of molecular sciences · 2025Article
- Genetic diversity promotes resilience in a mouse model of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Machine Learning Models of Polygenic Risk for Enhanced Prediction of Alzheimer Disease Endophenotypes.Neurology. Genetics · 2024Article
- Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies.BioData mining · 2024Article
- Epistatic Features and Machine Learning Improve Alzheimer's Disease Risk Prediction Over Polygenic Risk Scores.Journal of Alzheimer's disease : JAD · 2024Article
- c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease.BMC medical genomics · 2023Article
- Genetic and Environmental Influences on Structural and Diffusion-Based Alzheimer's Disease Neuroimaging Signatures Across Midlife and Early Old Age.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies.Nucleic acids research · 2023Article
- Deconstructing a Syndrome: Genomic Insights Into PCOS Causal Mechanisms and Classification.Endocrine reviews · 2022Article
- Neuroimaging of Mouse Models of Alzheimer's Disease.Biomedicines · 2022Review
- The role of structural variations in Alzheimer's disease and other neurodegenerative diseases.Frontiers in aging neuroscience · 2022Review
- Alzheimer's genetic risk factor FERMT2 (Kindlin-2) controls axonal growth and synaptic plasticity in an APP-dependent manner.Molecular psychiatry · 2021Article
- Genetics of Alzheimer's disease.Wiener medizinische Wochenschrift (1946) · 2021Review
- 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
- Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer's disease.Translational psychiatry · 2021Article
- Early detection and personalized medicine: Future strategies against Alzheimer's disease.Progress in molecular biology and translational science · 2021Article
Corrections and comments
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2 authors.
Funding
Abstract
purpose of reviewWe aimed to summarize the recent advances in genetic findings of Alzheimer's disease (AD), focusing on traditional single-marker and gene approaches and non-traditional ones, i.e., polygenic and epistatic components. RECENT
findingsGenetic studies have progressed over the last few decades from linkage to genome-wide association studies (GWAS), and most recently studies utilizing high-throughput sequencing. So far, GWASs have identified several common variants characterized by small effect sizes (besides APOE-ε4). Sequencing has facilitated the study of rare variants with larger effects. Nevertheless, missing heritability for AD remains extensive; a possible explanation might lie in the existence of polygenic and epistatic components. We review findings achieved by single-marker approaches, but also polygenic and epistatic associations. The latter two are critical, yet-underexplored mechanisms. Genes involved in complex diseases are likely regulated by mechanisms and pathways involving many other genes, an aspect potentially missed by traditional approaches.
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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.