{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:51:58Z","timestamp":1740135118239,"version":"3.37.3"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T00:00:00Z","timestamp":1537228800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s12859-018-2361-5","type":"journal-article","created":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T08:07:39Z","timestamp":1537258059000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification"],"prefix":"10.1186","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1048-9631","authenticated-orcid":false,"given":"Xiangdong","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keith C. C.","family":"Chan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,18]]},"reference":[{"issue":"5343","key":"2361_CR1","doi-asserted-by":"publisher","first-page":"1580","DOI":"10.1126\/science.278.5343.1580","volume":"278","author":"FS Collins","year":"1997","unstructured":"Collins FS, Guyer MS, Chakravarti A. Variations on a theme: cataloging human DNA sequence variation. Science. 1997;278(5343):1580\u20131.","journal-title":"Science"},{"issue":"7145","key":"2361_CR2","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1038\/nature05911","volume":"447","author":"WTCC Consortium","year":"2007","unstructured":"WTCC Consortium. Genome-wide association study of 14 000 cases of seven common diseases and 3000 shared controls. Nature. 2007;447(7145):661\u201378.","journal-title":"Nature"},{"issue":"4","key":"2361_CR3","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1038\/ng1537","volume":"37","author":"J Marchini","year":"2005","unstructured":"Marchini J, Donnelly P, Cardon LR. Genome-wide strategies for detecting multiple loci that influence complex diseases. Nat Genet. 2005;37(4):413\u20137.","journal-title":"Nat Genet"},{"issue":"1","key":"2361_CR4","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/s00439-009-0663-4","volume":"126","author":"B Franke","year":"2009","unstructured":"Franke B, Neale BM, Faraone SV. Genome-wide association studies in ADHD. Hum Genet. 2009;126(1):13\u201350.","journal-title":"Hum Genet"},{"issue":"7265","key":"2361_CR5","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1038\/nature08494","volume":"461","author":"TA Manolio","year":"2009","unstructured":"Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, et al. Finding the missing heritability of complex diseases. Nature. 2009;461(7265):747\u201353.","journal-title":"Nature"},{"issue":"20","key":"2361_CR6","doi-asserted-by":"publisher","first-page":"2463","DOI":"10.1093\/hmg\/11.20.2463","volume":"11","author":"HJ Cordell","year":"2002","unstructured":"Cordell HJ. Epistasis: what it means, what it doesn\u2019t mean, and statistical methods to detect it in humans. Hum Mol Genet. 2002;11(20):2463\u20138.","journal-title":"Hum Mol Genet"},{"issue":"1","key":"2361_CR7","doi-asserted-by":"publisher","first-page":"S626","DOI":"10.1002\/gepi.2001.21.s1.s626","volume":"21","author":"C Kooperberg","year":"2001","unstructured":"Kooperberg C, Ruczinski I, LeBlanc ML, Hsu L. Sequence analysis using logic regression. Genet Epidemiol. 2001;21(1):S626\u201331.","journal-title":"Genet Epidemiol"},{"issue":"2","key":"2361_CR8","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1002\/gepi.20042","volume":"28","author":"C Kooperberg","year":"2005","unstructured":"Kooperberg C, Ruczinski I. Identifying interacting SNPs using Monte Carlo logic regression. Genet Epidemiol. 2005;28(2):157\u201370.","journal-title":"Genet Epidemiol"},{"issue":"1","key":"2361_CR9","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1086\/498850","volume":"78","author":"J Millstein","year":"2006","unstructured":"Millstein J, Conti DV, Gilliland FD, Gauderman WJ. A testing framework for identifying susceptibility genes in the presence of epistasis. Am J Hum Genet. 2006;78(1):15\u201327.","journal-title":"Am J Hum Genet"},{"issue":"1","key":"2361_CR10","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1093\/biostatistics\/kxm010","volume":"9","author":"MY Park","year":"2008","unstructured":"Park MY, Hastie T. Penalized logistic regression for detecting gene interactions. Biostatistics. 2008;9(1):30\u201350.","journal-title":"Biostatistics"},{"issue":"4","key":"2361_CR11","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1002\/1098-2272(200012)19:4<323::AID-GEPI4>3.0.CO;2-5","volume":"19","author":"H Zhang","year":"2000","unstructured":"Zhang H, Bonney G. Use of classification trees for association studies. Genet Epidemiol. 2000;19(4):323\u201332.","journal-title":"Genet Epidemiol"},{"issue":"3","key":"2361_CR12","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1101\/gr.172901","volume":"11","author":"MR Nelson","year":"2001","unstructured":"Nelson MR, Kardia SLR, Ferrell RE, Sing CF. A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation. Genome Res. 2001;11(3):458\u201370.","journal-title":"Genome Res"},{"issue":"1","key":"2361_CR13","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1086\/321276","volume":"69","author":"MD Ritchie","year":"2001","unstructured":"Ritchie MD, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF, et al. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet. 2001;69(1):138\u201347.","journal-title":"Am J Hum Genet"},{"issue":"2","key":"2361_CR14","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1002\/gepi.20006","volume":"27","author":"R Culverhouse","year":"2004","unstructured":"Culverhouse R, Klein T, Shannon W. Detecting epistatic interactions contributing to quantitative traits. Genet Epidemiol. 2004;27(2):141\u201352.","journal-title":"Genet Epidemiol"},{"issue":"24","key":"2361_CR15","doi-asserted-by":"publisher","first-page":"3280","DOI":"10.1093\/bioinformatics\/btm522","volume":"23","author":"R Nunkesser","year":"2007","unstructured":"Nunkesser R, Bernholt T, Schwender H, Ickstadt K, Wegener I. Detecting high-order interactions of single nucleotide polymorphisms using genetic programming. Bioinformatics. 2007;23(24):3280\u20138.","journal-title":"Bioinformatics"},{"issue":"5","key":"2361_CR16","first-page":"1","volume":"7","author":"AA Motsinger","year":"2006","unstructured":"Motsinger AA, Lee SL, Mellick G, Ritchie MD. GPNN: power studies and applications of a neural network method for detecting gene\u2013gene interactions in studies of human disease. BMC Bioinformatics. 2006;7(5):1\u201310.","journal-title":"BMC Bioinformatics"},{"issue":"4","key":"2361_CR17","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1002\/gepi.20307","volume":"32","author":"AA Motsinger-Reif","year":"2008","unstructured":"Motsinger-Reif AA, Dudek SM, Hahn LW, Ritchie MD. Comparison of approaches for machinelearning optimization of neural networks for detecting gene\u2013gene interactions in genetic epidemiology. Genet Epidemiol. 2008;32(4):325\u201340.","journal-title":"Genet Epidemiol"},{"issue":"S1","key":"2361_CR18","doi-asserted-by":"publisher","first-page":"S16","DOI":"10.1186\/1753-6561-1-s1-s16","volume":"1","author":"Z Li","year":"2007","unstructured":"Li Z, Zheng T, Califano A, Floratos A. Pattern-based mining strategy to detect multi-locus association and gene\u00d7 environment interaction. BMC Proc. 2007;1(S1):S16.","journal-title":"BMC Proc"},{"issue":"S1","key":"2361_CR19","doi-asserted-by":"publisher","first-page":"S75","DOI":"10.1186\/1471-2105-10-S1-S75","volume":"10","author":"Q Long","year":"2009","unstructured":"Long Q, Zhang Q, Ott J. Detecting disease-associated genotype patterns. BMC Bioinformatics. 2009;10(S1):S75.","journal-title":"BMC Bioinformatics"},{"issue":"2","key":"2361_CR20","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1002\/gepi.20041","volume":"28","author":"A Bureau","year":"2005","unstructured":"Bureau A, Dupuis J, Falls K, Lunetta KL, Hayward B, Keith TP, et al. Identifying SNPs predictive of phenotype using random forests. Genet Epidemiol. 2005;28(2):171\u201382.","journal-title":"Genet Epidemiol"},{"issue":"2","key":"2361_CR21","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1002\/gepi.20272","volume":"32","author":"S Chen","year":"2008","unstructured":"Chen S, Sun J, Dimitrov L, Turner AR, Adams TS, Meyers DA, et al. A support vector machine approach for detecting genegene interaction. Genet Epidemiol. 2008;32(2):152\u201367.","journal-title":"Genet Epidemiol"},{"issue":"4","key":"2361_CR22","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1002\/gepi.20304","volume":"32","author":"Z Zhang","year":"2008","unstructured":"Zhang Z, Zhang S, Wong M, Wareham NJ, Sha Q. An ensemble learning approach jointly modelling main and interaction effects in genetic association studies. Genet Epidemiol. 2008;32(4):285\u2013300.","journal-title":"Genet Epidemiol"},{"issue":"6","key":"2361_CR23","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1586\/14737159.4.6.795","volume":"4","author":"JH Moore","year":"2004","unstructured":"Moore JH. Computational analysis of gene\u2013gene interactions using multifactor dimensionality reduction. Expert Rev Mol Diagn. 2004;4(6):795\u2013803.","journal-title":"Expert Rev Mol Diagn"},{"issue":"2","key":"2361_CR24","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.jtbi.2005.11.036","volume":"241","author":"JH Moore","year":"2006","unstructured":"Moore JH, Gilbert JC, Tsai CT, Chiang FT, Holden T, Barney N, et al. A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. J Theor Biol. 2006;241(2):252\u201361.","journal-title":"J Theor Biol"},{"issue":"3","key":"2361_CR25","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1101\/gr.172901","volume":"11","author":"M Nelson","year":"2001","unstructured":"Nelson M, Kardia S, Ferrell R, Sing C. A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation. Genome Res. 2001;11(3):458\u201370.","journal-title":"Genome Res"},{"issue":"6","key":"2361_CR26","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1086\/518312","volume":"80","author":"XY Lou","year":"2007","unstructured":"Lou XY, Chen GB, Yan L, Ma JZ, Zhu J, Elston RC, et al. A generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions with application to nicotine dependence. Am J Hum Genet. 2007;80(6):1125\u201337.","journal-title":"Am J Hum Genet"},{"key":"2361_CR27","unstructured":"Calle ML, Urrea V, Malats N, Van Steen K. MB-MDR: Model based multifactor dimensionality reduction for detecting interactions in highdimensional genomic data. Ann Hum Genet. 2008;75:1\u201314."},{"issue":"1","key":"2361_CR28","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1186\/1471-2164-10-509","volume":"10","author":"P Chanda","year":"2009","unstructured":"Chanda P, Sucheston L, Liu S, Zhang A, Ramanathan M. Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits. BMC Genomics. 2009;10(1):509\u201330.","journal-title":"BMC Genomics"},{"issue":"2","key":"2361_CR29","first-page":"523641","volume":"2015","author":"J Yee","year":"2015","unstructured":"Yee J, Kwon MS, Jin S, Park T, Park M. Detecting genetic interactions for quantitative traits using m-spacing entropy measure. Biomed Res Int. 2015;2015(2):523641.","journal-title":"Biomed Res Int"},{"issue":"2","key":"2361_CR30","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1016\/j.jtbi.2007.10.001","volume":"250","author":"G Kang","year":"2008","unstructured":"Kang G, Yue W, Zhang J, Cui Y, Zuo Y, Zhang D. An entropy-based approach for testing genetic epistasis underlying complex diseases. J Theor Biol. 2008;250(2):362\u201374.","journal-title":"J Theor Biol"},{"issue":"6","key":"2361_CR31","doi-asserted-by":"publisher","first-page":"e66545","DOI":"10.1371\/journal.pone.0066545","volume":"8","author":"J Gui","year":"2013","unstructured":"Gui J, Moore JH, Williams SM, Andrews P, Hillege HL, van der Harst P, et al. A simple and computationally efficient approach to multifactor dimensionality reduction analysis of gene-gene interactions for quantitative traits. PLoS One. 2013;8(6):e66545.","journal-title":"PLoS One"},{"issue":"Suppl 2","key":"2361_CR32","first-page":"S9","volume":"6","author":"K Kim","year":"2013","unstructured":"Kim K, Kwon MS, Oh S, Park T. Identification of multiple gene-gene interactions for ordinal phenotypes. BMC Med Genet. 2013;6(Suppl 2):S9.","journal-title":"BMC Med Genet"},{"key":"2361_CR33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2_161","volume-title":"Categorical data analysis","author":"A Agresti","year":"2011","unstructured":"Agresti A, Kateri M. Categorical data analysis. Berlin Heidelberg: Springer; 2011."},{"key":"2361_CR34","doi-asserted-by":"crossref","unstructured":"Zhou X, Chan KCC. An effective approach to identify gene-gene interactions for complex quantitative traits using generalized fuzzy accuracy.In: IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, Chiang Mai; 2016.","DOI":"10.1109\/CIBCB.2016.7758094"},{"issue":"1","key":"2361_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-016-1414-x","volume":"9","author":"J Li","year":"2008","unstructured":"Li J, Chen Y. Generating samples for association studies based on HapMap data. BMC Bioinformatics. 2008;9(1):1\u201313.","journal-title":"BMC Bioinformatics"},{"issue":"1","key":"2361_CR36","doi-asserted-by":"publisher","first-page":"1240005","DOI":"10.1142\/S0219720012400057","volume":"10","author":"Y Chen","year":"2012","unstructured":"Chen Y, Li J. Generation of synthetic data and experimental designs in evaluating interactions for association studies. J Bioinforma Comput Biol. 2012;10(1):1240005.","journal-title":"J Bioinforma Comput Biol"},{"issue":"1","key":"2361_CR37","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1161\/01.ATV.0000104027.52895.D7","volume":"24","author":"N Ishimori","year":"2004","unstructured":"Ishimori N, Li R, Kelmenson PM, Korstanje R, Walsh KA, Churchill GA, et al. Quantitative trait loci analysis for plasma hdl-cholesterol concentrations and atherosclerosis susceptibility between inbred mouse strains c57bl\/6j and 129s1\/svimj. Arterioscler Thromb Vasc Biol. 2004;24(1):161\u20136.","journal-title":"Arterioscler Thromb Vasc Biol"},{"issue":"1","key":"2361_CR38","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1186\/1756-0500-4-158","volume":"4","author":"S Chikkagoudar","year":"2011","unstructured":"Chikkagoudar S, Wang K, Li M. GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores. BMC Res Notes. 2011;4(1):158.","journal-title":"BMC Res Notes"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-018-2361-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12859-018-2361-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-018-2361-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T19:08:25Z","timestamp":1568747305000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-018-2361-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,18]]},"references-count":38,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["2361"],"URL":"https:\/\/doi.org\/10.1186\/s12859-018-2361-5","relation":{},"ISSN":["1471-2105"],"issn-type":[{"type":"electronic","value":"1471-2105"}],"subject":[],"published":{"date-parts":[[2018,9,18]]},"assertion":[{"value":"27 September 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 September 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"329"}}