Meta-Analysis of 23 Type 2 Diabetes Linkage Studies from the International Type 2 Diabetes Linkage Analysis Consortium

Background: The International Type 2 Diabetes Linkage Analysis Consortium was formed to localize type 2 diabetes predisposing variants based on 23 autosomal linkage scans. Methods: We carried out meta-analysis using the genome scan meta-analysis (GSMA) method which divides the genome into bins of ∼3...

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Bibliographic Details
Published in:Human heredity 2008-01, Vol.66 (1), p.35-49
Main Authors: Guan, Weihua, Pluzhnikov, Anna, Cox, Nancy J., Boehnke, Michael
Format: Article
Language:English
Subjects:
Chromosome Mapping - statistics & numerical data
Chromosomes, Human - genetics
Computer Simulation
Diabetes
Diabetes Mellitus, Type 2 - genetics
Female
Genetic disorders
Genetic Linkage
Genetic Markers
Genetic Predisposition to Disease
Genomics
Genomics - statistics & numerical data
Humans
International Agencies
Lod Score
Male
Meta-analysis
Models, Genetic
Original Paper
Polymorphism, Single Nucleotide
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Summary:Background: The International Type 2 Diabetes Linkage Analysis Consortium was formed to localize type 2 diabetes predisposing variants based on 23 autosomal linkage scans. Methods: We carried out meta-analysis using the genome scan meta-analysis (GSMA) method which divides the genome into bins of ∼30 cM, ranks the best linkage results in each bin for each sample, and then sums the ranks across samples. We repeated the meta-analysis using 2 cM bins, and/or replacing bin ranks with measures of linkage evidence: bin maximum LOD score or bin minimum p value for bins with p value
ISSN:0001-5652
1423-0062
DOI:10.1159/000114164