Evidence map›Paper›PMID 24236125›Full record

ArticlePloS one2013

MDR-ER: balancing functions for adjusting the ratio in risk classes and classification errors for imbalanced cases and controls using multifactor-dimensionality reduction.

Cheng-Hong Yang, Yu-Da Lin, Li-Yeh Chuang, Jin-Bor Chen, Hsueh-Wei Chang

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Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Cheng-Hong YangDepartment of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.
Yu-Da Lin
Li-Yeh Chuang
Jin-Bor Chen
Hsueh-Wei Chang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetermining the complex relationship between diseases, polymorphisms in human genes and environmental factors is challenging. Multifactor dimensionality reduction (MDR) has proven capable of effectively detecting statistical patterns of epistasis. However, MDR has its weakness in accurately assigning multi-locus genotypes to either high-risk and low-risk groups, and does generally not provide accurate error rates when the case and control data sets are imbalanced. Consequently, results for classification error rates and odds ratios (OR) may provide surprising values in that the true positive (TP) value is often small. METHODOLOGY/PRINCIPAL

findingsTo address this problem, we introduce a classifier function based on the ratio between the percentage of cases in case data and the percentage of controls in control data to improve MDR (MDR-ER) for multi-locus genotypes to be classified correctly into high-risk and low-risk groups. In this study, a real data set with different ratios of cases to controls (1:4) was obtained from the mitochondrial D-loop of chronic dialysis patients in order to test MDR-ER. The TP and TN values were collected from all tests to analyze to what degree MDR-ER performed better than MDR. CONCLUSIONS/SIGNIFICANCE: Results showed that MDR-ER can be successfully used to detect the complex associations in imbalanced data sets.

Indexed as

Epistasis, GeneticGene-Environment InteractionModels, GeneticMultifactor Dimensionality ReductionAlgorithmsCase-Control StudiesHormonesHumansOdds RatioPolymorphism, GeneticPolymorphism, Single NucleotideReproducibility of ResultsSignal TransductionSteroidsHormonesSteroids

Identifiers

PMID24236125
PMCPMC3827354

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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.