ArticleNucleic acids research2011
SNPsyn: detection and exploration of SNP-SNP interactions.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Association of EGFR and EGF gene polymorphisms with cervical cancer in a case-control study and cross-cancer meta-analysis.Scientific reports · 2026Pooled it
- Transferring entropy to the realm of GxG interactions.Briefings in bioinformatics · 2018Pooled it
- Review on GPU accelerated methods for genome-wide SNP-SNP interactions.Molecular genetics and genomics : MGG · 2024Review
- Common variants of pro-inflammatory gene IL1B and interactions with PPP1R13L and POLR1G in relation to lung cancer among Northeast Chinese.Scientific reports · 2023Article
- Article
- Quantitative trait locus (xQTL) approaches identify risk genes and drug targets from human non-coding genomes.Human molecular genetics · 2022Review
- NFκB1 Polymorphisms Are Associated with Severe Influenza A (H1N1) Virus Infection in a Canadian Population.Microorganisms · 2022Article
- Optimized permutation testing for information theoretic measures of multi-gene interactions.BMC bioinformatics · 2021Article
- Roles of interacting stress-related genes in lifespan regulation: insights for translating experimental findings to humans.Journal of translational genetics and genomics · 2021Article
- Information Theory in Computational Biology: Where We Stand Today.Entropy (Basel, Switzerland) · 2020Article
- Selecting variants of unknown significance through network-based gene-association significantly improves risk prediction for disease-control cohorts.Scientific reports · 2019Article
- Common genetic variants in GAL, GAP43 and NRSN1 and interaction networks confer susceptibility to Hirschsprung disease.Journal of cellular and molecular medicine · 2018Article
- The genetic component of human longevity: New insights from the analysis of pathway-based SNP-SNP interactions.Aging cell · 2018Article
- Polymorphic variants of antioxidative defense enzymes and their gene-gene epistatic interactions in systemic lupus erythematode patients.Clinical rheumatology · 2017Article
- Research on single nucleotide polymorphisms interaction detection from network perspective.PloS one · 2015Article
- Heterogeneous computing architecture for fast detection of SNP-SNP interactions.BMC bioinformatics · 2014Article
- Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SNPsyn (http://snpsyn.biolab.si) is an interactive software tool for the discovery of synergistic pairs of single nucleotide polymorphisms (SNPs) from large genome-wide case-control association studies (GWAS) data on complex diseases. Synergy among SNPs is estimated using an information-theoretic approach called interaction analysis. SNPsyn is both a stand-alone C++/Flash application and a web server. The computationally intensive part is implemented in C++ and can run in parallel on a dedicated cluster or grid. The graphical user interface is written in Adobe Flash Builder 4 and can run in most web browsers or as a stand-alone application. The SNPsyn web server hosts the Flash application, receives GWAS data submissions, invokes the interaction analysis and serves result files. The user can explore details on identified synergistic pairs of SNPs, perform gene set enrichment analysis and interact with the constructed SNP synergy network.
Indexed as
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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.