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ITPKC Single Nucleotide Polymorphism Associated with the Kawasaki Disease in a Taiwanese Population

Overview of attention for article published in PLOS ONE, April 2011
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Title
ITPKC Single Nucleotide Polymorphism Associated with the Kawasaki Disease in a Taiwanese Population
Published in
PLOS ONE, April 2011
DOI 10.1371/journal.pone.0017370
Pubmed ID
Authors

Ho-Chang Kuo, Kuender D. Yang, Suh-Hang Hank Juo, Chi-Di Liang, Wei-Chiao Chen, Yu-Shiuan Wang, Chih-Hung Lee, Edward Hsi, Hong-Ren Yu, Peng-Yeong Woon, I-Chun Lin, Chien-Fu Huang, Daw-Yang Hwang, Chiu-Ping Lee, Li-Yan Lin, Wei-Pin Chang, Wei-Chiao Chang

Abstract

Kawasaki disease (KD) is characterized by systemic vasculitis with unknown etiology. Previous studies from Japan indicated that a gene polymorphism of ITPKC (rs28493229) is responsible for susceptibility to KD. We collected DNA samples from 1,531 Taiwanese subjects (341 KD patients and 1,190 controls) for genotyping ITPKC. In this study, no significant association was noted for the ITPKC polymorphism (rs28493229) between the controls and KD patients, although the CC genotype was overrepresented. We further combined our data with previously published case/control KD studies in the Taiwanese population and performed a meta-analysis. A significant association between rs28493229 and KD was found (Odds Ratio:1.36, 95% Confidence Interval 1.12-1.66). Importantly, a significant association was obtained between rs28493229 and KD patients with aneurysm formation (Pā€Š=ā€Š0.001, under the recessive model). Taken together, our results indicated that C-allele of ITPKC SNP rs28493229 is associated with the susceptibility and aneurysm formation in KD patients in a Taiwanese population.

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Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Other 6 17%
Researcher 6 17%
Student > Ph. D. Student 5 14%
Professor > Associate Professor 2 6%
Other 5 14%
Unknown 6 17%
Readers by discipline Count As %
Medicine and Dentistry 15 42%
Immunology and Microbiology 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 11 31%