ArticleGenetic epidemiology2013
ViSEN: methodology and software for visualization of statistical epistasis networks.
Article in Genetic epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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.
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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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transferring entropy to the realm of GxG interactions.Briefings in bioinformatics · 2018Pooled it
- Synergistic Epistasis and Systems Biology Approaches to Uncover a Pharmacogenomic Map Linked to Pain, Anti-Inflammatory and Immunomodulating Agents (PAIma) in a Healthy Cohort.Cellular and molecular neurobiology · 2024Article
- GWASTool: A web pipeline for detecting SNP-phenotype associations.Fundamental research · 2024Article
- A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions.BioData mining · 2021Article
- Native American Ancestry and Air Pollution Interact to Impact Bronchodilator Response in Puerto Rican Children with Asthma.Ethnicity & disease · 2021Article
- Information Theory in Computational Biology: Where We Stand Today.Entropy (Basel, Switzerland) · 2020Article
- An epistatic interaction between pre-natal smoke exposure and socioeconomic status has a significant impact on bronchodilator drug response in African American youth with asthma.BioData mining · 2020Article
- How to increase our belief in discovered statistical interactions via large-scale association studies?Human genetics · 2019Review
- Non-additive effects of ACVR2A in preeclampsia in a Philippine population.BMC pregnancy and childbirth · 2019Article
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- Advances in Text Mining and Visualization for Precision Medicine.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
- Transdisciplinary approaches enhance the production of translational knowledge.Translational research : the journal of laboratory and clinical medicine · 2017Review
- CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions.BMC bioinformatics · 2016Article
- Heuristic identification of biological architectures for simulating complex hierarchical genetic interactions.Genetic epidemiology · 2015Article
- Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity.BioData mining · 2015Article
- Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks.BioData mining · 2015Article
- Genome-wide genetic interaction analysis of glaucoma using expert knowledge derived from human phenotype networks.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2015Article
- Epiregulin (EREG) and human V-ATPase (TCIRG1): genetic variation, ethnicity and pulmonary tuberculosis susceptibility in Guinea-Bissau and The Gambia.Genes and immunity · 2014Article
- Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility.BioData mining · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The nonlinear interaction effect among multiple genetic factors, i.e. epistasis, has been recognized as a key component in understanding the underlying genetic basis of complex human diseases and phenotypic traits. Due to the statistical and computational complexity, most epistasis studies are limited to interactions with an order of two. We developed ViSEN to analyze and visualize epistatic interactions of both two-way and three-way. ViSEN not only identifies strong interactions among pairs or trios of genetic attributes, but also provides a global interaction map that shows neighborhood and clustering structures. This visualized information could be very helpful to infer the underlying genetic architecture of complex diseases and to generate plausible hypotheses for further biological validations. ViSEN is implemented in Java and freely available at https://sourceforge.net/projects/visen/.
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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.