Heterogeneity-based genome search meta-analysis for preeclampsia
β Scribed by Elias Zintzaras; Georgios Kitsios; Gavan A. Harrison; Hannele Laivuori; Katja Kivinen; Juha Kere; Ioannis Messinis; Ioannis Stefanidis; John P. A. Ioannidis
- Book ID
- 106134409
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 279 KB
- Volume
- 120
- Category
- Article
- ISSN
- 0340-6717
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Genome searches for identifying susceptibility loci for the same complex disease often give inconclusive or inconsistent results. Genome Search Metaβanalysis (GSMA) is an established nonβparametric method to identify genetic regions that rank high on average in terms of linkage statisti
## Abstract The Genome Search MetaβAnalysis (GSMA) method is widely used to detect linkage by pooling results of previously published genomeβwide linkage studies. The GSMA uses a nonβparametric summed rank statistic in 30βcM bins of the genome. Zintzaras and Ioannidis ([2005] Genet. Epidemiol. 28:1