HEGESMA: genome search meta-analysis and heterogeneity testing
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Open Access
- 14 June 2005
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 21 (18) , 3672-3673
- https://doi.org/10.1093/bioinformatics/bti536
Abstract
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@med.uth.grKeywords
This publication has 5 references indexed in Scilit:
- Heterogeneity testing in meta‐analysis of genome searchesGenetic Epidemiology, 2004
- Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part I: Methods and Power AnalysisAmerican Journal of Human Genetics, 2003
- Meta‐analysis of four rheumatoid arthritis genome‐wide linkage studies: Confirmation of a susceptibility locus on chromosome 16Arthritis & Rheumatism, 2003
- Genomewide Scans of Complex Human Diseases: True Linkage Is Hard to FindAmerican Journal of Human Genetics, 2001
- Meta‐analysis of genome searchesAnnals of Human Genetics, 1999