ArticleEuropean journal of human genetics : EJHG2009
The interaction index, a novel information-theoretic metric for prioritizing interacting genetic variations and environmental factors.
Article in European journal of human genetics : EJHG, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transferring entropy to the realm of GxG interactions.Briefings in bioinformatics · 2018Pooled it
- Optimized permutation testing for information theoretic measures of multi-gene interactions.BMC bioinformatics · 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
- Construction and Analysis of Human Diseases and Metabolites Network.Frontiers in bioengineering and biotechnology · 2020Article
- ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction.BMC medical genomics · 2019Article
- CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions.BMC bioinformatics · 2016Article
- An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions.BioMed research international · 2015Article
- Practical aspects of genome-wide association interaction analysis.Human genetics · 2014Review
- ViSEN: methodology and software for visualization of statistical epistasis networks.Genetic epidemiology · 2013Article
- To control false positives in gene-gene interaction analysis: two novel conditional entropy-based approaches.PloS one · 2013Article
- Challenges and opportunities in genome-wide environmental interaction (GWEI) studies.Human genetics · 2012Review
- FAM-MDR: a flexible family-based multifactor dimensionality reduction technique to detect epistasis using related individuals.PloS one · 2010Article
- An information-gain approach to detecting three-way epistatic interactions in genetic association studies.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We developed an information-theoretic metric called the Interaction Index for prioritizing genetic variations and environmental variables for follow-up in detailed sequencing studies. The Interaction Index was found to be effective for prioritizing the genetic and environmental variables involved in GEI for a diverse range of simulated data sets. The metric was also evaluated for a 103-SNP Crohn's disease dataset and a simulated data set containing 9187 SNPs and multiple covariates that was modeled on a rheumatoid arthritis data set. Our results demonstrate that the Interaction Index algorithm is effective and efficient for prioritizing interacting variables for a diverse range of epidemiologic data sets containing complex combinations of direct effects, multiple GGI and GEI.
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