{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:26:56Z","timestamp":1760707616781},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Genome-wide association studies are now technically feasible and likely to become a fundamental tool in unraveling the ultimate genetic basis of complex traits. However, new statistical and computational methods need to be developed to extract the maximum information in a realistic computing time. Here we propose a new method for multiple association analysis via simulated annealing that allows for epistasis and any number of markers. It consists of finding the model with lowest Bayesian information criterion using simulated annealing. The data are described by means of a mixed model and new alternative models are proposed using a set of rules, e.g. new sites can be added (or deleted), or new epistatic interactions can be included between existing genetic factors. The method is illustrated with simulated and real data.<\/jats:p>\n               <jats:p>Availability: An executable version of the program (MASSA) running under the Linux OS is freely available, together with documentation, at<\/jats:p>\n               <jats:p>Contact: \u00a0miguel.perez@uab.es<\/jats:p>","DOI":"10.1093\/bioinformatics\/btk050","type":"journal-article","created":{"date-parts":[[2006,1,14]],"date-time":"2006-01-14T01:12:58Z","timestamp":1137201178000},"page":"573-580","source":"Crossref","is-referenced-by-count":3,"title":["Multiple association analysis via simulated annealing (MASSA)"],"prefix":"10.1093","volume":"22","author":[{"given":"M.","family":"P\u00e9rez-Enciso","sequence":"first","affiliation":[{"name":"Institut Catal\u00e1 de Re\u00e7erca i Estudis Avan\u00e7ats 1 \u00a0 1 \u00a0 \u00a0 Pg Lluis Companys 23, 08010 Barcelona, Spain"},{"name":"Departament de Ci\u00e8ncia Animal i del Aliments, Facultat de Veterin\u00e0ria, Universitat Aut\u00f2noma de Barcelona 2 \u00a0 2 \u00a0 \u00a0 08193 Bellaterra, Spain"}]}],"member":"286","published-online":{"date-parts":[[2006,1,12]]},"reference":[{"key":"2023012408524847600_b1","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1534\/genetics.103.021683","article-title":"Modifying the Schwarz Bayesian information criterion to locate multiple interacting quantitative trait loci","volume":"167","author":"Bogdan","year":"2004","journal-title":"Genetics"},{"key":"2023012408524847600_b2","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1038\/nature03865","article-title":"Genetic interactions between polymorphisms that affect gene expression in yeast","volume":"436","author":"Brem","year":"2005","journal-title":"Nature"},{"key":"2023012408524847600_b3","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1177\/0049124104268644","article-title":"Understanding AIC and BIC in model selection","volume":"33","author":"Burnham","year":"2004","journal-title":"Soc. 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