ArticleAmerican journal of human genetics2005
An entropy-based statistic for genomewide association studies.
Article in American journal of human genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Genomic structural equation modeling elucidates the genetic mechanisms underlying allostatic load.Comprehensive psychoneuroendocrinology · 2026Article
- Research on multi-trait genome association study method based on Shannon information entropy.BMC bioinformatics · 2026Article
- Nine residues in HLA-DQ molecules determine with susceptibility and resistance to type 1 diabetes among young children in Sweden.Scientific reports · 2021Article
- Information Theory in Computational Biology: Where We Stand Today.Entropy (Basel, Switzerland) · 2020Article
- An adaptive strategy for association analysis of common or rare variants using entropy theory.Journal of human genetics · 2017Article
- A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions.PloS one · 2015Article
- Entropy-based selection for maternal-fetal genotype incompatibility with application to preterm prelabor rupture of membranes.BMC genetics · 2014Article
- SBERIA: set-based gene-environment interaction test for rare and common variants in complex diseases.Genetic epidemiology · 2013Article
- To control false positives in gene-gene interaction analysis: two novel conditional entropy-based approaches.PloS one · 2013Article
- Analysis and optimization of bulk DNA sampling with binary scoring for germplasm characterization.PloS one · 2013Article
- Genetic association studies: an information content perspective.Current genomics · 2012Article
- Entropy based genetic association tests and gene-gene interaction tests.Statistical applications in genetics and molecular biology · 2011Article
- Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression.American journal of human genetics · 2011Article
- Sequential Support Vector Regression with Embedded Entropy for SNP Selection and Disease Classification.Statistical analysis and data mining · 2011Article
- Article
- An entropy test for single-locus genetic association analysis.BMC genetics · 2010Article
- Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits.BMC genomics · 2009Article
- The interaction index, a novel information-theoretic metric for prioritizing interacting genetic variations and environmental factors.European journal of human genetics : EJHG · 2009Article
- Article
- Gene-centric genomewide association study via entropy.Genetics · 2008Article
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Abstract
Efficient genotyping methods and the availability of a large collection of single-nucleotide polymorphisms provide valuable tools for genetic studies of human disease. The standard chi2 statistic for case-control studies, which uses a linear function of allele frequencies, has limited power when the number of marker loci is large. We introduce a novel test statistic for genetic association studies that uses Shannon entropy and a nonlinear function of allele frequencies to amplify the differences in allele and haplotype frequencies to maintain statistical power with large numbers of marker loci. We investigate the relationship between the entropy-based test statistic and the standard chi2 statistic and show that, in most cases, the power of the entropy-based statistic is greater than that of the standard chi2 statistic. The distribution of the entropy-based statistic and the type I error rates are validated using simulation studies. Finally, we apply the new entropy-based test statistic to two real data sets, one for the COMT gene and schizophrenia and one for the MMP-2 gene and esophageal carcinoma, to evaluate the performance of the new method for genetic association studies. The results show that the entropy-based statistic obtained smaller P values than did the standard chi2 statistic.
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