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KCNQ1 Haplotypes Associate with Type 2 Diabetes in Malaysian Chinese Subjects

Overview of attention for article published in International Journal of Molecular Sciences, September 2011
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Title
KCNQ1 Haplotypes Associate with Type 2 Diabetes in Malaysian Chinese Subjects
Published in
International Journal of Molecular Sciences, September 2011
DOI 10.3390/ijms12095705
Pubmed ID
Authors

Riyadh Saif-Ali, Ikram S. Ismail, Zaid Al-Hamodi, Hesham M. Al-Mekhlafi, Lee C. Siang, Aied M. Alabsi, Sekaran Muniandy

Abstract

The aim of this study was to investigate the association of single nucleotide polymorphisms (SNPs) and haplotypes of potassium voltage-gated channel, KQT-like subfamily, member 1 (KCNQ1) with type 2 diabetes (T2D) in Malaysian Chinese subjects. The KCNQ1 SNPs rs2237892, rs2283228 and rs2237895 were genotyped in 300 T2D patients and 230 control subjects without diabetes and metabolic syndrome. Two logistic regression models of analysis were applied, the first adjusted for age and gender while the second adjusted for age, gender and body mass index. The additive genetic analysis showed that adjusting for body mass index (BMI) even strengthened association of rs2237892, rs2283228 and rs2237895 with T2D (OR = 2.0, P = 5.1 × 10(-5); OR = 1.9, P = 5.2 × 10(-5); OR = 1.9, P = 7.8 × 10(-5), respectively). The haplotype TCA containing the allele of rs2237892 (T), rs2283228 (C) and rs2237895 (A) was highly protective against T2D (Second model; OR = 0.17, P = 3.7 × 10(-11)). The KCNQ1 rs2237892 (TT), and the protective haplotype (TCA) were associated with higher beta-cell function (HOMA-B) in normal subjects (P = 0.0002; 0.014, respectively). This study found that KCNQ1 SNPs was associated with T2D susceptibility in Malaysian Chinese subjects. In addition, certain KCNQ1 haplotypes were strongly associated with T2D.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 21%
Other 3 11%
Researcher 3 11%
Student > Ph. D. Student 3 11%
Student > Doctoral Student 2 7%
Other 5 18%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Biochemistry, Genetics and Molecular Biology 5 18%
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Agricultural and Biological Sciences 3 11%
Nursing and Health Professions 1 4%
Other 2 7%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2011.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from International Journal of Molecular Sciences
#22,860
of 44,335 outputs
Outputs of similar age
#96,789
of 136,577 outputs
Outputs of similar age from International Journal of Molecular Sciences
#45
of 59 outputs
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