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Keywords {🔍}

cancer, model, breast, mdr, data, risk, google, scholar, pubmed, prediction, error, method, doi, crossvalidation, multilocus, studies, polymorphisms, models, loci, interactions, number, factors, epistasis, analysis, interaction, genetic, consistency, genes, mim, casecontrol, simulated, cypa, cypb, sporadic, effects, disease, fourlocus, genotype, estrogen, controls, bailey, methods, combinations, set, independent, comt, multifactor, women, pmc, human,

Topics {✒️}

combined cross-validation–testing/permutation-testing method characterizing high-order gene-gene high-order gene-environment interactions human catechol-o-methyltransferase pharmacogenetics grant ro1 ca/es83752 vanderbilt-ingram cancer center discordant-sib-pair studies high-order gene-gene unbalanced case-control studies upper-tail monte carlo pmc beta search pmc copyright notice sporadic–breast cancer data simulated case-control data introduce multifactor-dimensionality reduction orthogonal-regression terms needed balanced case-control studies subsequent restriction-endonuclease analysis average cross-validation consistency glutathione s-transferases m1 machine learning methods model high-order interactions pooling high-risk cells maximum cross-validation consistency cross-validation data sets minimizes false-positives due references ambrosone cb publisher site pdf low-risk cells differ false-positive results due gene-gene interaction model multifactor classes—high risk multiple logistic-regression analysis license information pmcid multilocus-genotype encoding reduces identify high-order traditional parametric statistics sporadic breast cancer 10 estrogen-metabolism–gene polymorphisms cambridge university press higher-order interactions statistically significant evidence data-reduction methods parametric-statistical methods multiple single-nucleotide polymorphisms case-control studies high-order interactions glutathione s-transferase dimensional multilocus-genotype variable false-positive variations

Questions {❓}

• Frankel WN, Schork NJ (1996) Who’s afraid of epistasis?
• In a logistic-regression model, how many parameters must be estimated to identify interactions among the 10 estrogen-metabolism–gene polymorphisms?

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