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GCKR mutations in Japanese families with clustered type 2 diabetes

Authors :
Kimiyo Akitomo
Kazuaki Nagashima
Katsunobu Takenaka
Kouji H. Harada
Shogo Funakoshi
Akio Koizumi
Daisuke Tanaka
Chizumi Yamada
Mayumi Sasaki
Nobuya Inagaki
Source :
Molecular genetics and metabolism. 102(4):453-460
Publication Year :
2011
Publisher :
Elsevier Inc., 2011.

Abstract

Objective The aim was to investigate the genetic background of familial clustering of type 2 diabetes. Subjects and methods We recruited Japanese families with a 3-generation history of diabetes. Genome-wide linkage analysis was performed assuming an autosomal dominant model. Genes in the linkage region were computationally prioritized using Endeavour. We sequenced the candidate genes, and the frequencies of detected nucleotide changes were then examined in normoglycemic controls. Results To exclude known genetic factors, we sequenced 6 maturity onset diabetes of the young (MODY) genes in 10 familial cases. Because we detected a MODY3 mutation HNF1A R583G in one case, we excluded this case from further investigation. Linkage analysis revealed a significant linkage region on 2p25-22 (LOD score = 3.47) for 4 families. The 23.6-Mb linkage region contained 106 genes. Those genes were scored by computational prioritization. Eleven genes, i.e., top 10% of 106 genes, were selected and considered primary candidates. Considering their functions, we eliminated 3 well characterized genes and finally sequenced 8 genes. GCKR ranked highly in the computational prioritization. Mutations (minor allele frequency less than 1%) in exons and the promoter of GCKR were found in index cases of the families (3 of 18 alleles) more frequently than in controls (0 of 36 alleles, P = 0.033). In one pedigree with 9 affected members, the mutation GCKR g.6859C>G was concordant with affection status. No mutation in other 7 genes that ranked highly in the prioritization was concordant with affection status in families. Conclusions We propose that GCKR is a susceptibility gene in Japanese families with clustered diabetes. The family based approach seems to be complementary with a large population study.

Details

Language :
English
ISSN :
10967206
Volume :
102
Issue :
4
Database :
OpenAIRE
Journal :
Molecular genetics and metabolism
Accession number :
edsair.doi.dedup.....2468c13741ad3015255a3453a5631169