ArticleEuropean journal of human genetics : EJHG2010
A gene-based method for detecting gene-gene co-association in a case-control association study.
Article in European journal of human genetics : EJHG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- cLD: Rare-variant linkage disequilibrium between genomic regions identifies novel genomic interactions.PLoS genetics · 2023Article
- Gene-Based Testing of Interactions Using XGBoost in Genome-Wide Association Studies.Frontiers in cell and developmental biology · 2021Article
- Testing Gene-Gene Interactions Based on a Neighborhood Perspective in Genome-wide Association Studies.Frontiers in genetics · 2021Article
- ORTHOGONAL TRACE-SUM MAXIMIZATION: APPLICATIONS, LOCAL ALGORITHMS, AND GLOBAL OPTIMALITY.SIAM journal on matrix analysis and applications : a publication of the Society for Industrial and Applied Mathematics · 2021Article
- Article
- A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia.Journal of neuroscience methods · 2018Article
- Genetic-Epigenetic Interactions in Asthma Revealed by a Genome-Wide Gene-Centric Search.Human heredity · 2018Article
- Eigen-Epistasis for detecting gene-gene interactions.BMC bioinformatics · 2017Article
- Article
- A gene-based information gain method for detecting gene-gene interactions in case-control studies.European journal of human genetics : EJHG · 2015Article
- Testing gene-gene interactions in genome wide association studies.Genetic epidemiology · 2014Article
- Kernel canonical correlation analysis for assessing gene-gene interactions and application to ovarian cancer.European journal of human genetics : EJHG · 2014Article
- Gene-environment interactions in genome-wide association studies: current approaches and new directions.Journal of child psychology and psychiatry, and allied disciplines · 2013Review
- Article
- A PLSPM-based test statistic for detecting gene-gene co-association in genome-wide association study with case-control design.PloS one · 2013Article
- Detection for gene-gene co-association via kernel canonical correlation analysis.BMC genetics · 2012Article
- Article
- Genetic susceptibility in sepsis: implications for the pediatric population.Paediatric drugs · 2011Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
Association study (especially the genome-wide association study) now has a key function in identification and characterization of disease-predisposing genetic variant(s), which customarily involve multiple single nucleotide polymorphisms (SNPs) in a candidate region or across the genome. Case-control association design remains the most popular and a challenging issue in the statistical analysis is the optimal use of all information contained in these SNPs. Previous approaches often treated gene-gene interaction as deviation from additive genetic effects or replaced it with SNP-SNP interaction. However, these approaches are limited for their failure of consideration of gene-gene interaction or gene-gene co-association at gene level. Although the co-association of the SNPs within a candidate gene can be detected by principal component analysis-based logistic regression model, the detection of co-association between genes in genome remains uncertain. Here, we proposed a canonical correlation-based U statistic (CCU) for detecting gene-based gene-gene co-association in the case-control design. We explored its type I error rates and power through simulation and analyzed two real data sets. By treating gene as a functional unit in analysis, we found that CCU was a strong alternative to previous approaches. We discussed the performance of CCU as a gene-based gene-gene co-association statistic and the prospect of further improvement.
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