Combining linkage data sets for meta-analysis and mega-analysis: the GAW15 rheumatoid arthritis data set
|Title:||Combining linkage data sets for meta-analysis and mega-analysis: the GAW15 rheumatoid arthritis data set||Authors:||Segurado, Ricardo
Hamshere, Marian L.
|Permanent link:||http://hdl.handle.net/10197/4380||Date:||18-Dec-2007||Abstract:||We have used the genome-wide marker genotypes from Genetic Analysis Workshop 15 Problem 2 to explore joint evidence for genetic linkage to rheumatoid arthritis across several samples. The data consisted of four high-density genome scans on samples selected for rheumatoid arthritis. We cleaned the data, removed intermarker linkage disequilibrium, and assembled the samples onto a common genetic map using genome sequence positions as a reference for map interpolation. The individual studies were combined first at the genotype level (mega-analysis) prior to a multipoint linkage analysis on the combined sample, and second using the genome scan meta-analysis method after linkage analysis of each sample. The two approaches were compared, and give strong support to the HLA locus on chromosome 6 as a susceptibility locus. Other regions of interest include loci on chromosomes 11, 2, and 12.||Type of material:||Journal Article||Publisher:||BioMed Central||Copyright (published version):||2007 Segurado et al; licensee BioMed Central Ltd.||Keywords:||Marker Pair;Genetic Analysis;Rheumatoid arthritis;Genome scan||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Public Health, Physiotherapy and Sports Science Research Collection|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.