In:
Human Heredity, S. Karger AG, Vol. 66, No. 1 ( 2008), p. 35-49
Abstract:
〈 i 〉 Background: 〈 /i 〉 The International Type 2 Diabetes Linkage Analysis Consortium was formed to localize type 2 diabetes predisposing variants based on 23 autosomal linkage scans. 〈 i 〉 Methods: 〈 /i 〉 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 〈 0.05 (truncated p value). We also carried out computer simulations to assess the empirical type I error rates of these meta-analysis methods. 〈 i 〉 Results: 〈 /i 〉 Our analyses provided modest evidence for type 2 diabetes-predisposing variants on chromosomes 4, 10, and 14 (using LOD scores or truncated p values), or chromosome 10 and 16 (using ranks). Our simulation results suggested that uneven marker density across studies results in substantial variation in empirical type I error rates for all meta-analysis methods, but that 2 cM bins and scores that make more explicit use of linkage evidence, especially the truncated p values, reduce this problem. 〈 i 〉 Conclusion: 〈 /i 〉 We identified regions modestly linked with type 2 diabetes by summarizing results from 23 autosomal genome scans.
Type of Medium:
Online Resource
ISSN:
0001-5652
,
1423-0062
Language:
English
Publisher:
S. Karger AG
Publication Date:
2008
detail.hit.zdb_id:
1482710-4
SSG:
12
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