{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T20:40:10Z","timestamp":1740948010657,"version":"3.38.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T00:00:00Z","timestamp":1297728000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2011,12]]},"DOI":"10.1186\/1471-2105-12-s1-s26","type":"journal-article","created":{"date-parts":[[2011,2,18]],"date-time":"2011-02-18T20:05:19Z","timestamp":1298059519000},"source":"Crossref","is-referenced-by-count":5,"title":["The choice of null distributions for detecting gene-gene interactions in genome-wide association studies"],"prefix":"10.1186","volume":"12","author":[{"given":"Can","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Wan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zengyou","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weichuan","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,2,15]]},"reference":[{"key":"4384_CR1","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1038\/nature05911","volume":"447","author":"WTCCC","year":"2007","unstructured":"WTCCC: Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 2007, 447: 661\u2013678. 10.1038\/nature05911","journal-title":"Nature"},{"key":"4384_CR2","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1038\/nrg1916","volume":"7","author":"D Balding","year":"2006","unstructured":"Balding D: A tutorial on statistical methods for population association studies. Nature Reviews Genetics 2006, 7: 781\u2013791. 10.1038\/nrg1916","journal-title":"Nature Reviews Genetics"},{"issue":"6","key":"4384_CR3","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1038\/nrg2809","volume":"11","author":"E Eichler","year":"2010","unstructured":"Eichler E, Flint J, Gibson G, Kong A, Leal S, Moore J, Nadeau J: Missing heritability and strategies for finding the underlying causes of complex disease. Nature Reviews Genetics 2010, 11(6):446\u2013450. 10.1038\/nrg2809","journal-title":"Nature Reviews Genetics"},{"key":"4384_CR4","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1038\/nrg2579","volume":"10","author":"H Cordell","year":"2009","unstructured":"Cordell H: Detecting gene-gene interactions that underlie human diseases. Nature Reviews Genetics 2009, 10: 392\u2013404. 10.1038\/nrg2579","journal-title":"Nature Reviews Genetics"},{"issue":"3","key":"4384_CR5","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 Research 2001, 11(3):458. 10.1101\/gr.172901","journal-title":"Genome Research"},{"key":"4384_CR6","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1086\/321276","volume":"69","author":"M Ritchie","year":"2001","unstructured":"Ritchie M, Hahn L, Roodi N, Bailey L, Dupont W, Parl F, Moore J: Multifactor-dimensionality reduction reveals high-order interactions among estrogenmetabolism genes in sporadic breast cancer. Am J Hum Genet 2001, 69: 138\u2013147. 10.1086\/321276","journal-title":"Am J Hum Genet"},{"issue":"11","key":"4384_CR7","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1038\/nrg2452","volume":"9","author":"PC Phillips","year":"2008","unstructured":"Phillips PC: Epistasis-the essential role of gene interactions in the structure and evolution of genetic systems. Nature Reviews Genetics 2008, 9(11):855\u2013867. 10.1038\/nrg2452","journal-title":"Nature Reviews Genetics"},{"key":"4384_CR8","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. Genetic Epidemiology 2004, 27: 141\u2013152. 10.1002\/gepi.20006","journal-title":"Genetic Epidemiology"},{"key":"4384_CR9","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1159\/000096995","volume":"62","author":"T Zheng","year":"2006","unstructured":"Zheng T, Wang H, Lo S: Backward genotype-trait association (BGTA) - based dissection of complex traits in case-control design. Human Heredity 2006, 62: 196\u2013212. 10.1159\/000096995","journal-title":"Human Heredity"},{"key":"4384_CR10","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1093\/bioinformatics\/btp622","volume":"26","author":"X Wan","year":"2010","unstructured":"Wan X, Yang C, Yang Q, Xue H, Tang N, Yu W: Predictive rule inference for epistatic interaction detection in genome-wide association studies. Bioinformatics 2010, 26: 30\u201337. 10.1093\/bioinformatics\/btp622","journal-title":"Bioinformatics"},{"key":"4384_CR11","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R: Regression shrinkage and selection via the Lasso. Journal of the Royal Statistical Society, series B 1996, 58: 267\u2013288.","journal-title":"Journal of the Royal Statistical Society, series B"},{"issue":"6","key":"4384_CR12","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1093\/bioinformatics\/btp041","volume":"25","author":"T Wu","year":"2009","unstructured":"Wu T, Chen Y, Hastie T, Sobel E, Lange K: Genomewide Association Analysis by Lasso Penalized Logistic Regression. Bioinformatics 2009, 25(6):714\u2013721. 10.1093\/bioinformatics\/btp041","journal-title":"Bioinformatics"},{"issue":"Suppl 1","key":"4384_CR13","doi-asserted-by":"publisher","first-page":"S18","DOI":"10.1186\/1471-2105-11-S1-S18","volume":"11","author":"C Yang","year":"2010","unstructured":"Yang C, Wan X, Yang Q, Xue H, Yu W: Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso. BMC Bioinformatics 2010, 11(Suppl 1):S18. 10.1186\/1471-2105-11-S1-S18","journal-title":"BMC Bioinformatics"},{"issue":"49","key":"4384_CR14","doi-asserted-by":"publisher","first-page":"19199","DOI":"10.1073\/pnas.0709868104","volume":"104","author":"X Chen","year":"2007","unstructured":"Chen X, Liu C, Zhang M, Zhang H: A forest-based approach to identifying gene and gene-gene interactions. Proceedings of the National Academy of Sciences of the United States of America 2007, 104(49):19199\u201319203. 10.1073\/pnas.0709868104","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"3","key":"4384_CR15","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.ajhg.2010.07.021","volume":"87","author":"X Wan","year":"2010","unstructured":"Wan X, Yang C, Yang Q, Xue H, Fan X, Tang N, Yu W: BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies. Am J Hum Genet 2010, 87(3):325\u2013340. 10.1016\/j.ajhg.2010.07.021","journal-title":"Am J Hum Genet"},{"issue":"3","key":"4384_CR16","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1086\/519795","volume":"81","author":"S Purcell","year":"2007","unstructured":"Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira M, Bender D, Maller J, Sklar P, De Bakker P, Daly M, et al.: PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007, 81(3):559\u2013575. 10.1086\/519795","journal-title":"Am J Hum Genet"},{"key":"4384_CR17","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1038\/ng2110","volume":"39","author":"Y Zhang","year":"2007","unstructured":"Zhang Y, Liu J: Bayesian inference of epistatic interactions in case-control studies. Nature Genetics 2007, 39: 1167\u20131173. 10.1038\/ng2110","journal-title":"Nature Genetics"},{"issue":"4","key":"4384_CR18","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1093\/bioinformatics\/btn652","volume":"25","author":"C Yang","year":"2009","unstructured":"Yang C, He Z, Wan X, Yang Q, Xue H, Yu W: SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinformatics 2009, 25(4):504\u2013511. 10.1093\/bioinformatics\/btn652","journal-title":"Bioinformatics"},{"issue":"24","key":"4384_CR19","doi-asserted-by":"publisher","first-page":"3275","DOI":"10.1093\/bioinformatics\/btp596","volume":"25","author":"C Herold","year":"2009","unstructured":"Herold C, Steffens M, Brockschmidt F, Baur M, Becker T: INTERSNP: genome-wide interaction analysis guided by a priori information. Bioinformatics 2009, 25(24):3275\u20133281. 10.1093\/bioinformatics\/btp596","journal-title":"Bioinformatics"},{"issue":"4","key":"4384_CR20","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1093\/bioinformatics\/btp713","volume":"26","author":"J Moore","year":"2010","unstructured":"Moore J, Asselbergs F, Williams S: Bioinformatics challenges for genome-wide association studies. Bioinformatics 2010, 26(4):445\u2013455. 10.1093\/bioinformatics\/btp713","journal-title":"Bioinformatics"},{"key":"4384_CR21","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1007\/978-3-540-71783-6_16","volume":"4447","author":"J Moore","year":"2007","unstructured":"Moore J, White B: Tuning ReliefF for genome-wide genetic analysis. Lecture Notes in Computer Science, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 2007, 4447: 166\u2013175. full_text","journal-title":"Lecture Notes in Computer Science, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics"},{"key":"4384_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical learning: Data Mining, Inference, and Prediction","author":"T Hastie","year":"2009","unstructured":"Hastie T, Tibshirani R, Friedman J: The Elements of Statistical learning: Data Mining, Inference, and Prediction. 2nd edition. NewYork: Springer; 2009.","edition":"2"},{"issue":"465","key":"4384_CR23","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1198\/016214504000000089","volume":"99","author":"B Efron","year":"2004","unstructured":"Efron B: Large-scale simultaneous hypothesis testing: The choice of a null hypothesis. Journal of the American Statistical Association 2004, 99(465):96\u2013104. 10.1198\/016214504000000089","journal-title":"Journal of the American Statistical Association"},{"issue":"Suppl 7","key":"4384_CR24","doi-asserted-by":"publisher","first-page":"S26","DOI":"10.1186\/1753-6561-3-s7-s26","volume":"3","author":"A Niu","year":"2009","unstructured":"Niu A, Zhang Z, Sha Q: Application of seventeen two-locus models in genome-wide association studies by two-stage strategy. BMC Proc 2009, 3(Suppl 7):S26. 10.1186\/1753-6561-3-s7-s26","journal-title":"BMC Proc"},{"issue":"4","key":"4384_CR25","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. Nature Genetics 2005, 37(4):413\u2013417. 10.1038\/ng1537","journal-title":"Nature Genetics"},{"issue":"9","key":"4384_CR26","doi-asserted-by":"publisher","first-page":"e157","DOI":"10.1371\/journal.pgen.0020157","volume":"2","author":"D Evans","year":"2006","unstructured":"Evans D, Marchini J, Morris A, Cardon L: Two-stage two-locus models in genome-wide association. PLoS Genetics 2006, 2(9):e157. 10.1371\/journal.pgen.0020157","journal-title":"PLoS Genetics"},{"key":"4384_CR27","first-page":"39","volume":"7","author":"B Med","year":"2006","unstructured":"Med B: Optimal two-stage strategy for detecting interacting genes in complex diseases. BMC Genetics 2006, 7: 39.","journal-title":"BMC Genetics"},{"key":"4384_CR28","first-page":"249","volume-title":"Proceedings of the Ninth International Workshop on Machine learning","author":"K Kira","year":"1992","unstructured":"Kira K, Rendell L: A practical approach to feature selection. Proceedings of the Ninth International Workshop on Machine learning 1992, 249\u2013256."},{"key":"4384_CR29","first-page":"171","volume-title":"European Conference on Machine Learning","author":"L Wiskott","year":"1994","unstructured":"Wiskott L, Fellous J, Kruger N, Malsburg C: Estimating attributes: analysis and extension of relief. European Conference on Machine Learning 1994, 171\u2013182."},{"key":"4384_CR30","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1007\/978-3-642-12211-8_16","volume":"6023","author":"C Greene","year":"2010","unstructured":"Greene C, Himmelstein D, Kiralis J, Moore J: The informative extremes: using both nearest and farthest individuals can improve Relief algorithms in the domain of human genetics. Lecture Notes in Computer Science, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 2010, 6023: 182\u2013193. full_text","journal-title":"Lecture Notes in Computer Science, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics"},{"key":"4384_CR31","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1093\/biostatistics\/kxm010","volume":"9","author":"M Park","year":"2008","unstructured":"Park M, Hastie T: Penalized logistic regression for detecting gene interactions. Biostatistics 2008, 9: 30\u201350. 10.1093\/biostatistics\/kxm010","journal-title":"Biostatistics"},{"key":"4384_CR32","volume-title":"Generalized additive models","author":"T Hastie","year":"1990","unstructured":"Hastie T, Tibshirani R: Generalized additive models. Chapman & Hall\/CRC; 1990."},{"issue":"04","key":"4384_CR33","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1142\/S0219525909002349","volume":"12","author":"W Li","year":"2009","unstructured":"Li W, Yang Y: Fractal Characterizations of MAX Statistical Distribution in Genetic Association Studies. Advances in Complex Systems (ACS) 2009, 12(04):513\u2013531. 10.1142\/S0219525909002349","journal-title":"Advances in Complex Systems (ACS)"},{"key":"4384_CR34","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/1756-0381-2-5","volume":"2","author":"C Greene","year":"2009","unstructured":"Greene C, Penrod N, Kiralis J, Moore J: Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions. BioData Mining 2009, 2: 5. 10.1186\/1756-0381-2-5","journal-title":"BioData Mining"},{"key":"4384_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-49317-6","volume-title":"Multiple Testing Procedures with Applications to Genomics","author":"S Dudoit","year":"2008","unstructured":"Dudoit S, Laan M: Multiple Testing Procedures with Applications to Genomics. Springer; 2008."},{"key":"4384_CR36","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1214\/ss\/1056397487","volume":"18","author":"S Dudoit","year":"2003","unstructured":"Dudoit S, Shaffer J, Boldrick J: Multiple hypothesis yesting in microarray experiments. Statistical Science 2003, 18: 71\u2013103. 10.1214\/ss\/1056397487","journal-title":"Statistical Science"},{"key":"4384_CR37","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1126\/science.1109557","volume":"308","author":"R Klein","year":"2005","unstructured":"Klein R, Zeiss C, Chew E, Tsai J, Sackler R, Haynes C, Henning A, SanGiovanni J, Mane S, Mayne S, Bracken M, Ferris F, Ott J, Barnstable C, Hoh J: Complement factor H polymorphism in age-related macular degeneration. Science 2005, 308: 385\u2013389. 10.1126\/science.1109557","journal-title":"Science"},{"key":"4384_CR38","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"85","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple teting. Journal of the Royal Statistical Society Series B 1995, 85: 289\u2013300.","journal-title":"Journal of the Royal Statistical Society Series B"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-12-S1-S26.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1471-2105-12-S1-S26\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-12-S1-S26.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T20:00:22Z","timestamp":1740945622000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-12-S1-S26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,2,15]]},"references-count":38,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2011,12]]}},"alternative-id":["4384"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-12-s1-s26","relation":{},"ISSN":["1471-2105"],"issn-type":[{"type":"electronic","value":"1471-2105"}],"subject":[],"published":{"date-parts":[[2011,2,15]]},"article-number":"S26"}}