{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T12:48:23Z","timestamp":1768913303812,"version":"3.49.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2008,7,8]],"date-time":"2008-07-08T00:00:00Z","timestamp":1215475200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Hum Genet"],"published-print":{"date-parts":[[2008,9]]},"DOI":"10.1007\/s10038-008-0313-z","type":"journal-article","created":{"date-parts":[[2008,7,7]],"date-time":"2008-07-07T07:10:03Z","timestamp":1215414603000},"page":"802-811","source":"Crossref","is-referenced-by-count":30,"title":["Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP\u2013SNP interactions and their application in prostate cancer"],"prefix":"10.1038","volume":"53","author":[{"given":"Hui-Yi","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenquan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yung-Hsin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seng-Jaw","family":"Soong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy P.","family":"York","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leann","family":"Myers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer J.","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2008,7,8]]},"reference":[{"key":"313_CR1","unstructured":"MARS user guide (2001) Salford Systems, San Diego"},{"key":"313_CR2","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H Akaike","year":"1974","unstructured":"Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Contr 19:716\u2013723","journal-title":"IEEE Trans Automat Contr"},{"key":"313_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/biomet\/71.1.1","volume":"71","author":"A Albert","year":"1984","unstructured":"Albert A, Anderson A (1984) On the existence of maximum likelihood estimates in logistic regression models. Biometrika 71:1\u201310","journal-title":"Biometrika"},{"key":"313_CR4","doi-asserted-by":"crossref","unstructured":"Barhdadi A, Dube MP (2007) Two-stage strategies to detect gene\u00a0\u00d7\u00a0gene interactions in case-control data. In: BMC proceedings. Genetic analysis workshop 15, p S135. St. Pete Beach, FL, USA","DOI":"10.1186\/1753-6561-1-S1-S135"},{"key":"313_CR5","volume-title":"Classification and regression trees","author":"L Breiman","year":"1984","unstructured":"Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and regression trees. Wadsworth, Belmont"},{"key":"313_CR6","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, Van Eerdewegh P (2005) Identifying SNPs predictive of phenotype using random forests. Genet Epidemiol 28:171\u2013182","journal-title":"Genet Epidemiol"},{"key":"313_CR7","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1093\/genetics\/39.6.859","volume":"39","author":"CC Cockerham","year":"1954","unstructured":"Cockerham CC (1954) An extension of the concept of partitioning hereditary variance for analysis of covariances among relatives when epistasis is present. Genetics 39:859\u2013882","journal-title":"Genetics"},{"key":"313_CR8","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1002\/sim.1749","volume":"23","author":"NR Cook","year":"2004","unstructured":"Cook NR, Zee RY, Ridker PM (2004) Tree and spline based association analysis of gene\u2013gene interaction models for ischemic stroke. Stat Med 23:1439\u20131453","journal-title":"Stat Med"},{"key":"313_CR9","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1086\/338759","volume":"70","author":"R Culverhouse","year":"2002","unstructured":"Culverhouse R, Suarez BK, Lin J, Reich T (2002) A perspective on epistasis: limits of models displaying no main effect. Am J Hum Genet 70:461\u2013471","journal-title":"Am J Hum Genet"},{"key":"313_CR10","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-6333-3","volume-title":"A practical guide to splines","author":"C Boor De","year":"1978","unstructured":"De Boor C (1978) A practical guide to splines. Springer, New York"},{"key":"313_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1214\/aos\/1176347963","volume":"19","author":"JH Friedman","year":"1991","unstructured":"Friedman JH (1991) Multivariate adaptive regression splines. Ann Stat 19:1\u201366","journal-title":"Ann Stat"},{"key":"313_CR12","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1093\/aje\/155.5.478","volume":"155","author":"WJ Gauderman","year":"2002","unstructured":"Gauderman WJ (2002) Sample size requirements for association studies of gene\u2013gene interaction. Am J Epidemiol 155:478\u2013484","journal-title":"Am J Epidemiol"},{"key":"313_CR13","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1161\/01.HYP.0000251524.00326.e7","volume":"49","author":"D Ge","year":"2007","unstructured":"Ge D, Zhu H, Huang Y, Treiber FA, Harshfield GA, Snieder H, Dong Y (2007) Multilocus analyses of renin\u2013angiotensin\u2013aldosterone system gene variants on blood pressure at rest and during behavioral stress in young normotensive subjects. Hypertension 49:107\u2013112","journal-title":"Hypertension"},{"key":"313_CR14","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1161\/01.HYP.0000219041.66702.45","volume":"47","author":"D Gu","year":"2006","unstructured":"Gu D, Su S, Ge D, Chen S, Huang J, Li B, Chen R, Qiang B (2006) Association study with 33 single-nucleotide polymorphisms in 11 candidate genes for hypertension in Chinese. Hypertension 47:1147\u20131154","journal-title":"Hypertension"},{"key":"313_CR15","unstructured":"Hu JJ (2006) DNA repair pathways: genetic determinants of disparities in prostate and colon cancer. In: The 97th annual meeting of American association for cancer research. Washington, DC"},{"key":"313_CR16","volume-title":"DNA-repair genetic polymorphisms and racial difference of colon cancer risk","author":"JJ Hu","year":"2007","unstructured":"Hu JJ, Keku TO, Galanko J, Velasco-Gonzalez C, Daniel B, Sandler RS (2007) DNA-repair genetic polymorphisms and racial difference of colon cancer risk. American Association Cancer Research, Los Angeles"},{"key":"313_CR17","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1158\/0008-5472.CAN-03-2670","volume":"64","author":"JJ Hu","year":"2004","unstructured":"Hu JJ, Hall MC, Grossman L, Hedayati M, McCullough DL, Lohman K, Case LD (2004) Deficient nucleotide excision repair capacity enhances human prostate cancer risk. Cancer Res 64:1197\u20131201","journal-title":"Cancer Res"},{"issue":"6","key":"313_CR18","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1038\/sj.ejhg.5202010","volume":"16","author":"HY Lin","year":"2008","unstructured":"Lin HY, Desmond R, Louis Bridges S Jr, Soong SJ (2008) Variable selection in logistic regression for detecting SNP\u2013SNP interactions: the rheumatoid arthritis example. Eur J Hum Genet 16(6):735\u2013741","journal-title":"Eur J Hum Genet"},{"key":"313_CR19","unstructured":"Lin HY, Hall MC, Clark PE, Phillips JJ, Hu JJ (2006) Gene\u2013gene interactions of DNA-repair nsSNPs in prostate cancer recurrence. In: The 97th annual meeting of American association for cancer research, Washington, DC"},{"key":"313_CR20","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1159\/000073735","volume":"56","author":"JH Moore","year":"2003","unstructured":"Moore JH (2003) The ubiquitous nature of epistasis in determining susceptibility to common human diseases. Hum Hered 56:73\u201382","journal-title":"Hum Hered"},{"key":"313_CR21","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1080\/07853890252953473","volume":"34","author":"JH Moore","year":"2002","unstructured":"Moore JH, Williams SM (2002) New strategies for identifying gene\u2013gene interactions in hypertension. Ann Med 34:88\u201395","journal-title":"Ann Med"},{"key":"313_CR22","doi-asserted-by":"publisher","first-page":"415","DOI":"10.2307\/2283276","volume":"58","author":"JN Morgan","year":"1963","unstructured":"Morgan JN, Sonquist JA (1963) Problems in the analysis of survey data, and a proposal. J Am Stat Assoc 58:415\u2013434","journal-title":"J Am Stat Assoc"},{"key":"313_CR23","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1159\/000099179","volume":"63","author":"SK Musani","year":"2007","unstructured":"Musani SK, Shriner D, Liu N, Feng R, Coffey CS, Yi N, Tiwari HK, Allison DB (2007) Detection of gene\u00a0\u00d7\u00a0gene interactions in genome-wide association studies of human population data. Hum Hered 63:67\u201384","journal-title":"Hum Hered"},{"key":"313_CR24","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1101\/gr.172901","volume":"11","author":"MR Nelson","year":"2001","unstructured":"Nelson MR, Kardia SL, Ferrell RE, Sing CF (2001) A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation. Genome Res 11:458\u2013470","journal-title":"Genome Res"},{"key":"313_CR25","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1159\/000085222","volume":"59","author":"BV North","year":"2005","unstructured":"North BV, Curtis D, Sham PC (2005) Application of logistic regression to case-control association studies involving two causative loci. Hum Hered 59:79\u201387","journal-title":"Hum Hered"},{"key":"313_CR26","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1093\/biostatistics\/kxm010","volume":"9","author":"MY Park","year":"2008","unstructured":"Park MY, Hastie T (2008) Penalized logistic regression for detecting gene interactions. Biostatistics 9:30\u201350","journal-title":"Biostatistics"},{"key":"313_CR27","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, Moore JH (2001) Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet 69:138\u2013147","journal-title":"Am J Hum Genet"},{"key":"313_CR28","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/S0065-2660(01)42023-2","volume":"42","author":"NJ Schork","year":"2001","unstructured":"Schork NJ, Fallin D, Thiel B, Xu X, Broeckel U, Jacob HJ, Cohen D (2001) The future of genetic case-control studies. Adv Genet 42:191\u2013212","journal-title":"Adv Genet"},{"key":"313_CR29","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6:461\u2013464","journal-title":"Ann Stat"},{"key":"313_CR30","doi-asserted-by":"publisher","first-page":"e115","DOI":"10.1371\/journal.pgen.0030115","volume":"3","author":"A Scuteri","year":"2007","unstructured":"Scuteri A, Sanna S, Chen WM, Uda M, Albai G, Strait J, Najjar S, Nagaraja R, Orru M, Usala G, Dei M, Lai S, Maschio A, Busonero F, Mulas A, Ehret GB, Fink AA, Weder AB, Cooper RS, Galan P, Chakravarti A, Schlessinger D, Cao A, Lakatta E, Abecasis GR (2007) Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet 3:e115","journal-title":"PLoS Genet"},{"key":"313_CR31","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/S0304-3835(02)00595-5","volume":"190","author":"TR Smith","year":"2002","unstructured":"Smith TR, Miller MS, Lohman K, Lange EM, Case LD, Mohrenweiser HW, Hu JJ (2002) Polymorphisms of XRCC1 and XRCC3 genes and susceptibility to breast cancer. Cancer Lett 190:183\u2013190","journal-title":"Cancer Lett"},{"key":"313_CR32","first-page":"1200","volume":"12","author":"TR Smith","year":"2003","unstructured":"Smith TR, Levine EA, Perrier ND, Miller MS, Freimanis RI, Lohman K, Case LD, Xu J, Mohrenweiser HW, Hu JJ (2003) DNA-repair genetic polymorphisms and breast cancer risk. Cancer Epidemiol Biomarkers Prev 12:1200\u20131204","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"key":"313_CR33","doi-asserted-by":"publisher","first-page":"984","DOI":"10.1038\/ng2085","volume":"39","author":"I Tomlinson","year":"2007","unstructured":"Tomlinson I, Webb E, Carvajal-Carmona L, Broderick P, Kemp Z, Spain S, Penegar S, Chandler I, Gorman M, Wood W, Barclay E, Lubbe S, Martin L, Sellick G, Jaeger E, Hubner R, Wild R, Rowan A, Fielding S, Howarth K, Silver A, Atkin W, Muir K, Logan R, Kerr D, Johnstone E, Sieber O, Gray R, Thomas H, Peto J, Cazier JB, Houlston R (2007) A genome-wide association scan of tag SNPs identifies a susceptibility variant for colorectal cancer at 8q24.21. Nat Genet 39:984\u2013988","journal-title":"Nat Genet"},{"key":"313_CR34","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1002\/mc.20365","volume":"47","author":"BO Emburgh Van","year":"2008","unstructured":"Van Emburgh BO, Hu JJ, Levine EA, Mosley LJ, Case LD, Lin HY, Knight SN, Perrier ND, Rubin P, Sherrill GB, Shaw CS, Carey LA, Sawyer LR, Allen GO, Milikowski C, Willingham MC, Miller MS (2008) Polymorphisms in drug metabolism genes, smoking, and p53 mutations in breast cancer. Mol Carcinog 47:88\u201399","journal-title":"Mol Carcinog"},{"key":"313_CR35","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1016\/0098-1354(93)80066-V","volume":"17","author":"RDD Veaux","year":"1993","unstructured":"Veaux RDD, Psichogios DC, Ungar LH (1993) A comparison of two nonparametric estimation schemes: MARS and neural networks. Comput Chem Eng 17:819\u2013837","journal-title":"Comput Chem Eng"},{"key":"313_CR36","volume-title":"Epistasis and evolutionary process","author":"MJ Wade","year":"2000","unstructured":"Wade MJ (2000) Epistasis and evolutionary process. Oxford University Press, New York"},{"key":"313_CR37","doi-asserted-by":"crossref","first-page":"273","DOI":"10.6339\/JDS.2004.02(3).155","volume":"2","author":"MC Webb","year":"2004","unstructured":"Webb MC, Wilson JR, Chong J (2004) An analysis of quasi-complete binary data with logistic model: application to alcohol abuse data. J Data Sci 2:273\u2013285","journal-title":"J Data Sci"},{"issue":"Suppl 1","key":"313_CR38","doi-asserted-by":"crossref","first-page":"S649","DOI":"10.1002\/gepi.2001.21.s1.s649","volume":"21","author":"TP York","year":"2001","unstructured":"York TP, Eaves LJ (2001) Common disease analysis using multivariate adaptive regression splines (MARS): genetic analysis workshop 12 simulated sequence data. Genet Epidemiol 21(Suppl 1):S649\u2013S654","journal-title":"Genet Epidemiol"},{"key":"313_CR39","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1002\/sim.2292","volume":"25","author":"TP York","year":"2006","unstructured":"York TP, Eaves LJ, van den Oord EJ (2006) Multivariate adaptive regression splines: a powerful method for detecting disease\u2013risk relationship differences among subgroups. Stat Med 25:1355\u20131367","journal-title":"Stat Med"},{"key":"313_CR40","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1093\/carcin\/bgm277","volume":"29","author":"J Zabaleta","year":"2008","unstructured":"Zabaleta J, Lin HY, Sierra RA, Hall MC, Clark PE, Sartor OA, Hu JJ, Ochoa AC (2008) Interactions of cytokine gene polymorphisms in prostate cancer risk. Carcinogenesis 29:573\u2013578","journal-title":"Carcinogenesis"}],"container-title":["Journal of Human Genetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.nature.com\/articles\/jhg2008101.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/jhg2008101","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/jhg2008101.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T19:37:21Z","timestamp":1638387441000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/jhg2008101"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,7,8]]},"references-count":40,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2008,9]]}},"alternative-id":["313"],"URL":"https:\/\/doi.org\/10.1007\/s10038-008-0313-z","relation":{},"ISSN":["1434-5161","1435-232X"],"issn-type":[{"value":"1434-5161","type":"print"},{"value":"1435-232X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,7,8]]}}}