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||Journal:||BMC Proceedings||Volume:||1 Suppl 1||Copyright (published version):||2007 Segurado et al; licensee BioMed Central Ltd.||Keywords:||Marker Pair; Genetic Analysis; Rheumatoid arthritis; Genome scan||Other versions:||http://www.biomedcentral.com/1753-6561/1/S1/S104||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Public Health, Physiotherapy and Sports Science Research Collection|
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