{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:03:18Z","timestamp":1743120198506,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662455227"},{"type":"electronic","value":"9783662455234"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-45523-4_70","type":"book-chapter","created":{"date-parts":[[2014,12,2]],"date-time":"2014-12-02T17:04:26Z","timestamp":1417539866000},"page":"865-876","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["What Do We Learn from Network-Based Analysis of Genome-Wide Association Data?"],"prefix":"10.1007","author":[{"given":"Marzieh","family":"Ayati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sinan","family":"Erten","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmet","family":"Koyut\u00fcrk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,11,29]]},"reference":[{"key":"70_CR1","doi-asserted-by":"crossref","unstructured":"Adie, E.A., Adams, R.R., et al.: Speeding disease gene discovery by sequence based candidate prioritization. BMC Bioinformatics, 6 (2005)","DOI":"10.1186\/1471-2105-6-S3-P1"},{"key":"70_CR2","doi-asserted-by":"crossref","unstructured":"Adie, E.A., Adams, R.R., et al.: SUSPECTS: enabling fast and effective prioritization of positional candidates. Bioinformatics, 22 (2006)","DOI":"10.1093\/bioinformatics\/btk031"},{"key":"70_CR3","doi-asserted-by":"publisher","first-page":"2078","DOI":"10.1093\/hmg\/ddp120","volume":"18","author":"SE Baranzini","year":"2009","unstructured":"Baranzini, S.E., Galwey, N.W., Wang, J., Khankhanian, P., et al.: Pathway and network-based analysis of genome-wide association studies in multiple sclerosis. Hum. Mol. Genet. 18, 2078\u20132090 (2009)","journal-title":"Hum. Mol. Genet."},{"key":"70_CR4","doi-asserted-by":"crossref","unstructured":"Obberghen, E.V., Grunfeld, C., Baird, K., Kahn, C.R.: Glucocorticoid-induced insulin resistance in vitro: Evidence for both receptor and postreceptor defects. Endocrinology 109, 1723\u20131730 (1981)","DOI":"10.1210\/endo-109-5-1723"},{"key":"70_CR5","doi-asserted-by":"crossref","unstructured":"Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Phys. Rev, E 70 (2004)","DOI":"10.1103\/PhysRevE.70.066111"},{"key":"70_CR6","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1038\/nature05911","volume":"447","author":"W. T. C. C. Consortium","year":"2007","unstructured":"W. T. C. C. Consortium: Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661\u2013678 (2007)","journal-title":"Nature"},{"key":"70_CR7","doi-asserted-by":"publisher","first-page":"1814","DOI":"10.2337\/db07-1750","volume":"57","author":"JY Deng","year":"2008","unstructured":"Deng, J.Y., Hsieh, P.S., Huang, J.P., et al.: Activation of estrogen receptor is crucial for resveratrol-stimulating muscular glucose uptake via both insulin-dependent and -independent pathways. Diabetes 57, 1814\u20131823 (2008)","journal-title":"Diabetes"},{"key":"70_CR8","doi-asserted-by":"crossref","unstructured":"Driel, M.A., Cuelenaere, K., Kemmeren, P.P., et al.: GeneSeeker: extraction and integration of human disease-related information from web-based genetic databases. Nucleic Acids Res., 33 (2005)","DOI":"10.1093\/nar\/gki435"},{"key":"70_CR9","doi-asserted-by":"publisher","first-page":"2135","DOI":"10.2337\/db06-1017","volume":"56","author":"CJ Gallagher","year":"2007","unstructured":"Gallagher, C.J., Langerfeld, C.D., Gordon, C.J., et al.: Association of the estrogen receptor-gene with the metabolic syndrome and its component traits in african-american families. Diabetes 56, 2135\u20132141 (2007)","journal-title":"Diabetes"},{"key":"70_CR10","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1093\/bioinformatics\/18.suppl_1.S233","volume":"18","author":"T Ideker","year":"2002","unstructured":"Ideker, T., Ozier, O., Schwikowski, B., Siegel, A.F.: Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics 18, 233\u2013240 (2002)","journal-title":"Bioinformatics"},{"key":"70_CR11","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1093\/bioinformatics\/btq615","volume":"27","author":"P Jia","year":"2011","unstructured":"Jia, P., Zheng, S., Long, J., Zheng, W., Zhao, Z.: dmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks. Bioinformatics 27, 95\u2013102 (2011)","journal-title":"Bioinformatics"},{"key":"70_CR12","doi-asserted-by":"crossref","unstructured":"Lim, J., Hong, K., Jin, H., Kim, Y., Park, H., Oh, B.: Type 2 diabetes genetic association database manually curated for the study design and odds ratio. BMC Medical Informatics and Decision Making (2010)","DOI":"10.1186\/1472-6947-10-76"},{"key":"70_CR13","doi-asserted-by":"crossref","unstructured":"Linderman, G.C., Chance, M.R., Bebek, Gurkan.: MicroArray Gene expression and Network Evaluation Toolkit. Nucl. Acids Res., MAGNET (2012)","DOI":"10.1093\/nar\/gks526"},{"key":"70_CR14","doi-asserted-by":"crossref","unstructured":"Lopez-Bigas, N., Ouzounis, C.A.: Genome-wide identification of genes likely to be involved in human genetic disease. Nucleic Acids Res., 32 (2004)","DOI":"10.1093\/nar\/gkh605"},{"key":"70_CR15","doi-asserted-by":"crossref","unstructured":"Ma, H., Schadt, E., Kaplan, L.M., Zhao, H.: COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method. Bioinformatics (2011)","DOI":"10.1093\/bioinformatics\/btr136"},{"key":"70_CR16","doi-asserted-by":"crossref","unstructured":"Maglott, D., Ostell, J., Pruitt, K.D., Tatusova, T.: Entrez gene: gene-centered information at NCBI. Nucl. Acids Res., 35 (2007)","DOI":"10.1093\/nar\/gkl993"},{"issue":"4","key":"70_CR17","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1093\/bioinformatics\/btp713","volume":"26","author":"JH Moore","year":"2010","unstructured":"Moore, J.H., Asselbergs, F.W., Williams, S.M.: Bioinformatics challenges for genome-wide association studies. Bioinformatics 26(4), 445\u2013455 (2010)","journal-title":"Bioinformatics"},{"key":"70_CR18","doi-asserted-by":"crossref","unstructured":"Newman, M.E.J.: Fast algorithm for detecting community structure in networks. Phys. Rev, E 69(066133) (2004)","DOI":"10.1103\/PhysRevE.69.066133"},{"key":"70_CR19","doi-asserted-by":"crossref","unstructured":"Perez-Iratxeta, C., Wjst, M., Bork, P., Andrade, M.A.: G2D: a tool for mining genes associated with disease. BMC Genet., 6 (2005)","DOI":"10.1186\/1471-2156-6-45"},{"key":"70_CR20","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., et al.: PLINK: a tool set for whole-genome association and population-based linkage analyses. American Journal of Human Genetics 81, 559\u2013575 (2007)","journal-title":"American Journal of Human Genetics"},{"issue":"1","key":"70_CR21","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1111\/j.1469-1809.2010.00630.x","volume":"75","author":"MD Ritchie","year":"2011","unstructured":"Ritchie, M.D.: Using biological knowledge to uncover the mystery in the search for epistasis in genome-wide association studies. Annals of Human Genetics 75(1), 172\u2013182 (2011)","journal-title":"Annals of Human Genetics"},{"issue":"5829","key":"70_CR22","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1126\/science.1142382","volume":"316","author":"LJ Scott","year":"2007","unstructured":"Scott, L.J.: A Genome-Wide Association Study of Type 2 Diabetes in Finns Detects Multiple Susceptibility Variants. Science 316(5829), 1341\u20131345 (2007)","journal-title":"Science"},{"key":"70_CR23","doi-asserted-by":"crossref","unstructured":"Tiffin, N., Adie, E., Turner, F., et al.: Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes. Nucleic Acids Res. (2006)","DOI":"10.1093\/nar\/gkl381"},{"key":"70_CR24","doi-asserted-by":"crossref","unstructured":"Tiffin, N., Kelso, J.F., et al.: Integration of text- and data-mining using ontologies successfully selects disease gene candidates. Nucleic Acids Res., 33 (2005)","DOI":"10.1093\/nar\/gki296"},{"key":"70_CR25","doi-asserted-by":"crossref","unstructured":"Turner, F.S., Clutterbuck, D.R., Semple, C.A.: POCUS: mining genomic sequence annotation to predict disease genes. Genome Biol., 4 (2003)","DOI":"10.1186\/gb-2003-4-11-r75"},{"key":"70_CR26","unstructured":"Xia, Y., Wang, Y.: Condition specific subnetwork identification using an optimization model. In: Proceedings of The Second International Symposium on Optimization and Systems Biology, pp. 333\u2013340 (2008)"},{"key":"70_CR27","first-page":"51","volume":"1","author":"Y Zhang","year":"2013","unstructured":"Zhang, Y., Zhao, X., Yang, F.: The mediator complex and lipid metabolism. Journal of Biochemical and Pharmacological Research 1, 51\u201355 (2013)","journal-title":"Journal of Biochemical and Pharmacological Research"}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-45523-4_70","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T05:03:50Z","timestamp":1676005430000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-662-45523-4_70"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783662455227","9783662455234"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-45523-4_70","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"29 November 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}