{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T03:06:38Z","timestamp":1767841598226,"version":"3.49.0"},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Heterogeneity and genome search meta-analysis (HEGESMA) is a comprehensive software for performing genome scan meta-analysis, a quantitative method to identify genetic regions (bins) with consistently increased linkage score across multiple genome scans, and for testing the heterogeneity of the results of each bin across scans. The program provides as an output the average of ranks and three heterogeneity statistics, as well as corresponding significance levels. Statistical inferences are based on Monte Carlo permutation tests. The program allows both unweighted and weighted analysis, with the weights for each study as specified by the user. Furthermore, the program performs heterogeneity analyses restricted to the bins with similar average ranks.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/biomath.med.uth.gr<\/jats:p>\n               <jats:p>Contact: \u00a0zintza@med.uth.gr<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti536","type":"journal-article","created":{"date-parts":[[2005,6,15]],"date-time":"2005-06-15T03:23:22Z","timestamp":1118805802000},"page":"3672-3673","source":"Crossref","is-referenced-by-count":371,"title":["HEGESMA: genome search meta-analysis and heterogeneity testing"],"prefix":"10.1093","volume":"21","author":[{"given":"Elias","family":"Zintzaras","sequence":"first","affiliation":[]},{"given":"John P. A.","family":"Ioannidis","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2005,6,14]]},"reference":[{"key":"2023060912064913500_B1","unstructured":"Altmuller, J., et al. 2001Genomewide scans of complex human diseases: true linkage is hard to find. Am. J. Hum. Genet.69936\u2013950"},{"key":"2023060912064913500_B2","doi-asserted-by":"crossref","unstructured":"Fisher, S.A., et al. 2003Meta-analysis of four rheumatoid arthritis genome-wide linkage studies: confirmation of a susceptibility locus on chromosome 16. Arthritis Rheum.481200\u20131206","DOI":"10.1002\/art.10945"},{"key":"2023060912064913500_B3","unstructured":"Levinson, D.F., et al. 2003Genome scan meta-analysis of schizophrenia and bipolar disorder, part I: methods and power analysis. Am. J. Hum. Genet.7317\u201333"},{"key":"2023060912064913500_B4","unstructured":"Terwilliger, J.D. and Ott, J. Handbook of Human Genetic Linkage1994, Baltimore, MD  Johns Hopkins University Press"},{"key":"2023060912064913500_B5","unstructured":"Wise, L.H., et al. 1999Meta-analysis of genome searches. Ann. Hum. Genet.63263\u2013272"},{"key":"2023060912064913500_B6","doi-asserted-by":"crossref","unstructured":"Zintzaras, E. and Ioannidis, J.P. 2005Heterogeneity testing in Meta-Analysis of Genome Searches. Genet. Epidemiol.28123\u2013137","DOI":"10.1002\/gepi.20048"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/21\/18\/3672\/50554908\/bioinformatics_21_18_3672.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/21\/18\/3672\/50554908\/bioinformatics_21_18_3672.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T12:07:19Z","timestamp":1686312439000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/21\/18\/3672\/202097"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6,14]]},"references-count":6,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2005,9,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bti536","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2005,9]]},"published":{"date-parts":[[2005,6,14]]}}}