ArticleAlzheimer's research & therapy2021
Genome-wide epistasis analysis for Alzheimer's disease and implications for genetic risk prediction.
Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 50 citations in OpenAlex.
- EpiSNPdb: A Comprehensive Database of Genetic Epistasis Across Multiple Cancer Types.Current issues in molecular biology · 2026Article
- Combinatorial effects of gene dosage, polygenic background and environment on complex traits.medRxiv : the preprint server for health sciences · 2026Article
- iRUNNER: A Baseline Mutation Burden Regression for Identifying Gene Interaction Between Rare Variants for Diseases.Genomics, proteomics & bioinformatics · 2025Article
- Article
- Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation.Nature reviews. Endocrinology · 2025Review
- Special Issue: The Role of Genetics in Dementia.International journal of molecular sciences · 2025Article
- Genome-wide epistasis analysis reveals significant epistatic signals associated with Parkinson's disease risk.Brain : a journal of neurology · 2025Article
- Complex genetic interactions affect susceptibility to Alzheimer's disease risk in the BIN1 and MS4A6A loci.GeroScience · 2025Article
- ABCA7 Loss-of-Function Variants Impact Phosphatidylcholine Metabolism in the Human Brain.bioRxiv : the preprint server for biology · 2025Article
- Genome-Related Mechanisms Contributing to Differences in Alzheimer's Disease Incidence Between White and Black Older US Adults.Journal of racial and ethnic health disparities · 2025Article
- Molecular pathogenesis of Alzheimer's disease onset in a mouse model: effects of cannabidiol treatment.Frontiers in neuroscience · 2025Article
- Scrutinizing neurodegenerative diseases: decoding the complex genetic architectures through a multi-omics lens.Human genomics · 2024Review
- Association of common and rare variants with Alzheimer's disease in more than 13,000 diverse individuals with whole-genome sequencing from the Alzheimer's Disease Sequencing Project.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Considerations in the search for epistasis.Genome biology · 2024Review
- Computational Identification of Milk Trait Regulation Through Transcription Factor Cooperation in Murciano-Granadina Goats.Biology · 2024Article
- Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation.BioData mining · 2024Article
- Exploring first-degree family history in a cohort of Portuguese Alzheimer's disease patients: population evidence for X-chromosome linked and recessive inheritance of risk factors.Journal of neurology · 2024Article
- Structural variants linked to Alzheimer's Disease and other common age-related clinical and neuropathologic traits.medRxiv : the preprint server for health sciences · 2024Article
- AI-enabled evaluation of genome-wide association relevance and polygenic risk score prediction in Alzheimer's disease.iScience · 2024Article
- Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation.Research square · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundSingle-nucleotide polymorphisms (SNPs) identified by genome-wide association studies only explain part of the heritability of Alzheimer's disease (AD). Epistasis has been considered as one of the main causes of "missing heritability" in AD.
methodsWe performed genome-wide epistasis screening (N = 10,389) for the clinical diagnosis of AD using three popularly adopted methods. Subsequent analyses were performed to eliminate spurious associations caused by possible confounding factors. Then, candidate genetic interactions were examined for their co-expression in the brains of AD patients and analyzed for their association with intermediate AD phenotypes. Moreover, a new approach was developed to compile the epistasis risk factors into an epistasis risk score (ERS) based on multifactor dimensional reduction. Two independent datasets were used to evaluate the feasibility of ERSs in AD risk prediction.
resultsWe identified 2 candidate genetic interactions with P
conclusionsIn summary, we performed a genome-wide epistasis analysis to identify novel genetic interactions potentially implicated in AD. We found that ERS can serve as an indicator of the genetic risk of AD.
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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.