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Bioinformatics Advance Access originally published online on June 14, 2005
Bioinformatics 2005 21(18):3672-3673; doi:10.1093/bioinformatics/bti536
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

HEGESMA: genome search meta-analysis and heterogeneity testing

Elias Zintzaras 1,* and John P. A. Ioannidis 2,3

1Department of Biomathematics, University of Thessaly School of Medicine Papakyriazi 22 street, Larissa 41222, Greece
2Department of Hygiene and Epidemiology, University of Ioannina School of Medicine Ioannina, Greece
3Department of Medicine, Tufts University School of Medicine Boston, MA, USA

*To whom correspondence should be addressed.

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.

Availability: http://biomath.med.uth.gr

Contact: zintza{at}med.uth.gr

Received on May 26, 2005; accepted on June 8, 2005

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