Inclusion of candidate region studies in meta-analysis using the genome screen meta-analysis method: application to asthma data.
An extension to the genome screen meta-analysis (GSMA) method is proposed that allows results from candidate region studies to be included in a meta-analysis of genome-wide search results. Quantitative linkage analyses for susceptibility loci linked to total IgE were performed for data from three genome-wide searches and four candidate region studies from the Genetic Analysis Workshop 12 asthma data set. The GSMA and proposed extension were used to carry out a meta-analysis of the results from these studies. The meta-analysis indicates strong evidence for a susceptibility locus on the p-arm of chromosome 6 and some evidence for susceptibility loci on chromosomes 2, 9, 10, and 15. There is no evidence from this meta-analysis for a susceptibility locus for total IgE on chromosome 5. A method for assessing the possible effect of publication bias is also introduced.
Wise
L H
LH
Division of Medical and Molecular Genetics, Guy's, King's and St. Thomas' School of Medicine, London, United Kingdom.
D001249:Asthma / Q000235:genetics*; D002874:Chromosome Mapping / Q000706:statistics & numerical data*; D002895:Chromosomes, Human, Pair 5; D002896:Chromosomes, Human, Pair 6; D005820:Genetic Testing; D006801:Humans; D015201:Meta-Analysis as Topic; D017594:Publication Bias; D019655:Quantitative Trait, Heritable