An updated meta-analysis approach for genetic linkage
Open Access
- 30 December 2005
- journal article
- Published by Springer Nature in BMC Genomic Data
- Vol. 6 (S1) , S43-5
- https://doi.org/10.1186/1471-2156-6-s1-s43
Abstract
We present a meta-analysis procedure for genome-wide linkage studies (MAGS). The MAGS procedure combines genome-wide linkage results across studies with possibly distinct marker maps. We applied the MAGS procedure to the simulated data from the Genetic Analysis Workshop 14 in order to investigate power to detect linkage to disease genes and power to detect linkage to disease modifier genes while controlling for type I error. We analyzed all 100 replicates of the four simulated studies for chromosomes 1 (disease gene), 2 (modifier gene), 3 (disease gene), 4 (no disease gene), 5 (disease gene), and 10 (modifier gene) with knowledge of the simulated disease gene locations. We found that the procedure correctly identified the disease loci on chromosomes 1, 3, and 5 and did not erroneously identify a linkage signal on chromosome 4. The MAGS procedure provided little to no evidence of linkage to the disease modifier genes on chromosomes 2 and 10.Keywords
This publication has 9 references indexed in Scilit:
- Meta-analysis of Genetic-Linkage Analysis of Quantitative-Trait LociAmerican Journal of Human Genetics, 2002
- The Significance of Not Finding a GeneAmerican Journal of Human Genetics, 2001
- Efficient Multipoint Linkage Analysis through Reduction of Inheritance SpaceAmerican Journal of Human Genetics, 2001
- Weighting Schemes in Pooled Linkage AnalysisGenetic Epidemiology, 2001
- Meta‐analysis of genome searchesAnnals of Human Genetics, 1999
- Parametric and nonparametric linkage analysis: a unified multipoint approach.1996
- Genetic dissection of complex traits: guidelines for interpreting and reporting linkage resultsNature Genetics, 1995
- Distribution of the admixture test for the detection of linkage under heterogeneityGenetic Epidemiology, 1993
- A Consensus Combined P-Value Test and the Family-Wide Significance of Component TestsBiometrics, 1990