Document Type
Article
Publication Date
12-30-2005
Abstract
We explored the power and consistency to detect linkage and association with meta-analysis and pooled data analysis using Genetic Analysis Workshop 14 simulated data. The first 10 replicates from Aipotu population were used. Significant linkage and association was found at all 4 regions containing the major loci for Kofendrerd Personality Disorder (KPD) using both combined analyses although no significant linkage and association was found at all these regions in a single replicate. The linkage results from both analyses are consistent in terms of the significance level of linkage test and the estimate of locus location. After correction for multiple-testing, significant associations were detected for the same 8 single-nucleotide polymorphisms (SNP) in both analyses. There were another 2 SNPs for which significant associations with KPD were found only by pooled data analysis. Our study showed that, under homogeneous condition, the results from meta-analysis and pooled data analysis are similar in both linkage and association studies and the loss of power is limited using meta-analysis. Thus, meta-analysis can provide an overall evaluation of linkage and association when the original raw data is not available for combining.
Publication Source (Journal or Book title)
BMC Genetics
Recommended Citation
Wu, X., Kan, D., Cooper, R., & Zhu, X. (2005). Identifying genetic variation affecting a complex trait in simulated data: A comparison of meta-analysis with pooled data analysis. BMC Genetics, 6 (SUPPL.1) https://doi.org/10.1186/1471-2156-6-S1-S97