A genetic variant in SLC6A20 is associated with Type 2 diabetes in white-European and Chinese populations

Y Ling; Thijs Herpt; Mandy van Hoek; Abbas Dehghan; Bert Hofman; André Uitterlinden; S Jiang; AG Lieverse; B Bravenboer; Difei Lu; Cornelia Duijn; X Gao; E.J.G. Sijbrands

doi:10.1111/dme.12528

A genetic variant in SLC6A20 is associated with Type 2 diabetes in white-European and Chinese populations

Y Ling, Thijs Herpt, Mandy van Hoek, Abbas Dehghan, Bert Hofman, André Uitterlinden, S Jiang, AG Lieverse, B Bravenboer, Difei Lu, Cornelia Duijn, X Gao, E.J.G. Sijbrands

Research output: Contribution to journal › Article › Academic › peer-review

8 Citations (Scopus)

Abstract

AimsTo investigate whether polymorphisms in SLC6A20 are associated with susceptibility to Type 2 diabetes. MethodsIn the Rotterdam Study, a prospective, population-based cohort (n=5974), 22 tagging polymorphisms with minor allele frequencies>0.05 across SLC6A20 were studied. Replication studies were performed in an independent Dutch case-control study (DiaGene-Rotterdam Study 2 n=3133), and in a Chinese Han case-control population (n=2279). A meta-analysis of the results was performed. ResultsIn the Rotterdam study, the minor alleles of rs13062383, rs10461016 and rs2286489 increased the risk of Type 2 diabetes (hazard ratio 1.37, 95% CI 1.15-1.63, hazard ratio 1.30 95% CI 1.09-1.54 and hazard ratio 1.20, 95% CI 1.07-1.35, respectively). In the DiaGene/Rotterdam Study 2, the A allele of rs13062383 increased the risk of Type 2 diabetes (odds ratio 1.45, 95% CI 1.19-1.76). In the Chinese Han study, the rs13062383 A allele also increased the risk of Type 2 diabetes (odds ratio 1.21, 95% CI 1.03-1.42). Meta-analysis showed a highly significant association of rs13062383 with Type 2 diabetes (odds ratio 1.35, 95% CI 1.21-1.47; P=3.3x10(-8)). ConclusionsIn conclusion, rs13062383 in SLC6A20 increased the susceptibility to Type 2 diabetes in populations with different genetic backgrounds.

Original language	Undefined/Unknown
Pages (from-to)	1350-1356
Number of pages	7
Journal	Diabetic Medicine
Volume	31
Issue number	11
DOIs	https://doi.org/10.1111/dme.12528
Publication status	Published - 2014

Research programs

EMC COEUR-09
EMC MM-01-39-09-A
EMC NIHES-01-64-01

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Access to Document

10.1111/dme.12528

http://hdl.handle.net/1765/60094

Cite this

@article{bc5bf2411f4b40b1a5ad4dc899028505,

title = "A genetic variant in SLC6A20 is associated with Type 2 diabetes in white-European and Chinese populations",

abstract = "AimsTo investigate whether polymorphisms in SLC6A20 are associated with susceptibility to Type 2 diabetes. MethodsIn the Rotterdam Study, a prospective, population-based cohort (n=5974), 22 tagging polymorphisms with minor allele frequencies>0.05 across SLC6A20 were studied. Replication studies were performed in an independent Dutch case-control study (DiaGene-Rotterdam Study 2 n=3133), and in a Chinese Han case-control population (n=2279). A meta-analysis of the results was performed. ResultsIn the Rotterdam study, the minor alleles of rs13062383, rs10461016 and rs2286489 increased the risk of Type 2 diabetes (hazard ratio 1.37, 95% CI 1.15-1.63, hazard ratio 1.30 95% CI 1.09-1.54 and hazard ratio 1.20, 95% CI 1.07-1.35, respectively). In the DiaGene/Rotterdam Study 2, the A allele of rs13062383 increased the risk of Type 2 diabetes (odds ratio 1.45, 95% CI 1.19-1.76). In the Chinese Han study, the rs13062383 A allele also increased the risk of Type 2 diabetes (odds ratio 1.21, 95% CI 1.03-1.42). Meta-analysis showed a highly significant association of rs13062383 with Type 2 diabetes (odds ratio 1.35, 95% CI 1.21-1.47; P=3.3x10(-8)). ConclusionsIn conclusion, rs13062383 in SLC6A20 increased the susceptibility to Type 2 diabetes in populations with different genetic backgrounds.",

author = "Y Ling and Thijs Herpt and {van Hoek}, Mandy and Abbas Dehghan and Bert Hofman and Andr{\'e} Uitterlinden and S Jiang and AG Lieverse and B Bravenboer and Difei Lu and Cornelia Duijn and X Gao and E.J.G. Sijbrands",

year = "2014",

doi = "10.1111/dme.12528",

language = "Undefined/Unknown",

volume = "31",

pages = "1350--1356",

journal = "Diabetic Medicine",

issn = "0742-3071",

publisher = "Wiley-Blackwell Publishing Ltd",

number = "11",

}

TY - JOUR

T1 - A genetic variant in SLC6A20 is associated with Type 2 diabetes in white-European and Chinese populations

AU - Ling, Y

AU - Herpt, Thijs

AU - van Hoek, Mandy

AU - Dehghan, Abbas

AU - Hofman, Bert

AU - Uitterlinden, André

AU - Jiang, S

AU - Lieverse, AG

AU - Bravenboer, B

AU - Lu, Difei

AU - Duijn, Cornelia

AU - Gao, X

AU - Sijbrands, E.J.G.

PY - 2014

Y1 - 2014

N2 - AimsTo investigate whether polymorphisms in SLC6A20 are associated with susceptibility to Type 2 diabetes. MethodsIn the Rotterdam Study, a prospective, population-based cohort (n=5974), 22 tagging polymorphisms with minor allele frequencies>0.05 across SLC6A20 were studied. Replication studies were performed in an independent Dutch case-control study (DiaGene-Rotterdam Study 2 n=3133), and in a Chinese Han case-control population (n=2279). A meta-analysis of the results was performed. ResultsIn the Rotterdam study, the minor alleles of rs13062383, rs10461016 and rs2286489 increased the risk of Type 2 diabetes (hazard ratio 1.37, 95% CI 1.15-1.63, hazard ratio 1.30 95% CI 1.09-1.54 and hazard ratio 1.20, 95% CI 1.07-1.35, respectively). In the DiaGene/Rotterdam Study 2, the A allele of rs13062383 increased the risk of Type 2 diabetes (odds ratio 1.45, 95% CI 1.19-1.76). In the Chinese Han study, the rs13062383 A allele also increased the risk of Type 2 diabetes (odds ratio 1.21, 95% CI 1.03-1.42). Meta-analysis showed a highly significant association of rs13062383 with Type 2 diabetes (odds ratio 1.35, 95% CI 1.21-1.47; P=3.3x10(-8)). ConclusionsIn conclusion, rs13062383 in SLC6A20 increased the susceptibility to Type 2 diabetes in populations with different genetic backgrounds.

AB - AimsTo investigate whether polymorphisms in SLC6A20 are associated with susceptibility to Type 2 diabetes. MethodsIn the Rotterdam Study, a prospective, population-based cohort (n=5974), 22 tagging polymorphisms with minor allele frequencies>0.05 across SLC6A20 were studied. Replication studies were performed in an independent Dutch case-control study (DiaGene-Rotterdam Study 2 n=3133), and in a Chinese Han case-control population (n=2279). A meta-analysis of the results was performed. ResultsIn the Rotterdam study, the minor alleles of rs13062383, rs10461016 and rs2286489 increased the risk of Type 2 diabetes (hazard ratio 1.37, 95% CI 1.15-1.63, hazard ratio 1.30 95% CI 1.09-1.54 and hazard ratio 1.20, 95% CI 1.07-1.35, respectively). In the DiaGene/Rotterdam Study 2, the A allele of rs13062383 increased the risk of Type 2 diabetes (odds ratio 1.45, 95% CI 1.19-1.76). In the Chinese Han study, the rs13062383 A allele also increased the risk of Type 2 diabetes (odds ratio 1.21, 95% CI 1.03-1.42). Meta-analysis showed a highly significant association of rs13062383 with Type 2 diabetes (odds ratio 1.35, 95% CI 1.21-1.47; P=3.3x10(-8)). ConclusionsIn conclusion, rs13062383 in SLC6A20 increased the susceptibility to Type 2 diabetes in populations with different genetic backgrounds.

U2 - 10.1111/dme.12528

DO - 10.1111/dme.12528

M3 - Article

C2 - 24958070

SN - 0742-3071

VL - 31

SP - 1350

EP - 1356

JO - Diabetic Medicine

JF - Diabetic Medicine

IS - 11

ER -