ReviewHuman genetics2014
Practical aspects of genome-wide association interaction analysis.
Review in Human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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Who cites it
18 citing papers in PubMed.
- Turning heterogeneity of statistical epistasis networks to an advantage.Briefings in bioinformatics · 2026Article
- Effect of Interactions Between Endothelial Lipase Gene Polymorphisms and Traditional Cardiovascular Risk Factors on Coronary Heart Disease Susceptibility.Reviews in cardiovascular medicine · 2025Article
- Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies.G3 (Bethesda, Md.) · 2023Article
- Missing Causality and Heritability of Autoimmune Hepatitis.Digestive diseases and sciences · 2023Article
- Cis-epistasis at the LPA locus and risk of cardiovascular diseases.Cardiovascular research · 2022Article
- Interpretable network-guided epistasis detection.GigaScience · 2022Article
- Detecting gene-gene interactions from GWAS using diffusion kernel principal components.BMC bioinformatics · 2022Article
- Joint effects of genes underlying a temperature specialization tradeoff in yeast.PLoS genetics · 2021Article
- Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure.BioData mining · 2021Article
- Network and Systems Medicine: Position Paper of the European Collaboration on Science and Technology Action on Open Multiscale Systems Medicine.Network and systems medicine · 2020Review
- How to increase our belief in discovered statistical interactions via large-scale association studies?Human genetics · 2019Review
- Multiple Epistasis Interactions Within MHC Are Associated With Ulcerative Colitis.Frontiers in genetics · 2019Article
- Confounding of linkage disequilibrium patterns in large scale DNA based gene-gene interaction studies.BioData mining · 2019Article
- Male-specific epistasis between WWC1 and TLN2 genes is associated with Alzheimer's disease.Neurobiology of aging · 2018Article
- Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections.Trends in genetics : TIG · 2018Review
- The search for gene-gene interactions in genome-wide association studies: challenges in abundance of methods, practical considerations, and biological interpretation.Annals of translational medicine · 2018Article
- A cautionary note on the impact of protocol changes for genome-wide association SNP × SNP interaction studies: an example on ankylosing spondylitis.Human genetics · 2015Article
- gammaMAXT: a fast multiple-testing correction algorithm.BioData mining · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large-scale epistasis studies can give new clues to system-level genetic mechanisms and a better understanding of the underlying biology of human complex disease traits. Though many novel methods have been proposed to carry out such studies, so far only a few of them have demonstrated replicable results. Here, we propose a minimal protocol for genome-wide association interaction (GWAI) analysis to identify gene-gene interactions from large-scale genomic data. The different steps of the developed protocol are discussed and motivated, and encompass interaction screening in a hypothesis-free and hypothesis-driven manner. In particular, we examine a wide range of aspects related to epistasis discovery in the context of complex traits in humans, hereby giving practical recommendations for data quality control, variant selection or prioritization strategies and analytic tools, replication and meta-analysis, biological validation of statistical findings and other related aspects. The minimal protocol provides guidelines and attention points for anyone involved in GWAI analysis and aims to enhance the biological relevance of GWAI findings. At the same time, the protocol improves a better assessment of strengths and weaknesses of published GWAI methodologies.
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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.