ArticleAmerican journal of human genetics2006
A testing framework for identifying susceptibility genes in the presence of epistasis.
Article in American journal of human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 85 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.
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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
85 citing papers in PubMed, 198 citations in OpenAlex.
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- Review on GPU accelerated methods for genome-wide SNP-SNP interactions.Molecular genetics and genomics : MGG · 2024Review
- Native ancestry is associated with optic neuritis and age of onset in hispanics with multiple sclerosis.Annals of clinical and translational neurology · 2018Article
- Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.BMC bioinformatics · 2018Article
- Host and Microbiome Genome-Wide Association Studies: Current State and Challenges.Frontiers in genetics · 2018Review
- Fast and general tests of genetic interaction for genome-wide association studies.PLoS computational biology · 2017Article
- An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions.BMC genomics · 2017Article
- Discovering Genetic Interactions in Large-Scale Association Studies by Stage-wise Likelihood Ratio Tests.PLoS genetics · 2015Article
- Genome-Wide Analysis of Gene-Gene and Gene-Environment Interactions Using Closed-Form Wald Tests.Genetic epidemiology · 2015Article
- Gene-Gene Interactions Detection Using a Two-stage Model.Journal of computational biology : a journal of computational molecular cell biology · 2015Article
- Complex pedigrees in the sequencing era: to track transmissions or decorrelate?Genetic epidemiology · 2014Article
- A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.Human molecular genetics · 2014Article
- Allelic heterogeneity in NCF2 associated with systemic lupus erythematosus (SLE) susceptibility across four ethnic populations.Human molecular genetics · 2014Article
- Testing gene-gene interactions in genome wide association studies.Genetic epidemiology · 2014Article
- Epistatic effects of multiple receptor genes on pathophysiology of asthma - its limits and potential for clinical application.Medical science monitor : international medical journal of experimental and clinical research · 2014Review
- Antioxidant defense enzyme genes and asthma susceptibility: gender-specific effects and heterogeneity in gene-gene interactions between pathogenetic variants of the disease.BioMed research international · 2014Article
- Evaluation of removable statistical interaction for binary traits.Statistics in medicine · 2013Article
- Using Bayesian networks to discover relations between genes, environment, and disease.BioData mining · 2013Article
- Screening-testing approaches for gene-gene and gene-environment interactions using independent statistics.Frontiers in genetics · 2013Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
An efficient testing strategy called the "focused interaction testing framework" (FITF) was developed to identify susceptibility genes involved in epistatic interactions for case-control studies of candidate genes. In the FITF approach, likelihood-ratio tests are performed in stages that increase in the order of interaction considered. Joint tests of main effects and interactions are performed conditional on significant lower-order effects. A reduction in the number of tests performed is achieved by prescreening gene combinations with a goodness-of-fit chi2 statistic that depends on association among candidate genes in the pooled case-control group. Multiple testing is accounted for by controlling false-discovery rates. Simulation analysis demonstrated that the FITF approach is more powerful than marginal tests of candidate genes. FITF also outperformed multifactor dimensionality reduction when interactions involved additive, dominant, or recessive genes. In an application to asthma case-control data from the Children's Health Study, FITF identified a significant multilocus effect between the nicotinamide adenine dinucleotide (phosphate) reduced:quinone oxidoreductase gene (NQO1), myeloperoxidase gene (MPO), and catalase gene (CAT) (unadjusted P = .00026), three genes that are involved in the oxidative stress pathway. In an independent data set consisting primarily of African American and Asian American children, these three genes also showed a significant association with asthma status (P = .0008).
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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.