Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified from Genome-Wide Association Study in Kawasaki Disease

Ho Chang Kuo, Henry Sung Ching Wong, Wei Pin Chang, Ben Kuen Chen, Mei Shin Wu, Kuender D. Yang, Kai Sheng Hsieh, Yu Wen Hsu, Shih Feng Liu, Xiao Liu, Wei Chiao Chang

研究成果: 雜誌貢獻文章同行評審

21 引文 斯高帕斯(Scopus)

摘要

Background - Intravenous immunoglobulin (IVIG) is the treatment of choice in Kawasaki disease (KD). IVIG is used to prevent cardiovascular complications related to KD. However, a proportion of KD patients have persistent fever after IVIG treatment and are defined as IVIG resistant. Methods and Results - To develop a risk scoring system based on genetic markers to predict IVIG responsiveness in KD patients, a total of 150 KD patients (126 IVIG responders and 24 IVIG nonresponders) were recruited for this study. A genome-wide association analysis was performed to compare the 2 groups and identified risk alleles for IVIG resistance. A weighted genetic risk score was calculated by the natural log of the odds ratio multiplied by the number of risk alleles. Eleven single-nucleotide polymorphisms were identified by genome-wide association study. The KD patients were categorized into 3 groups based on their calculated weighted genetic risk score. Results indicated a significant association between weighted genetic risk score (groups 3 and 4 versus group 1) and the response to IVIG (Fisher's exact P value 4.518×10-03 and 8.224×10-10, respectively). Conclusions - This is the first weighted genetic risk score study based on a genome-wide association study in KD. The predictive model integrated the additive effects of all 11 single-nucleotide polymorphisms to provide a prediction of the responsiveness to IVIG.

原文英語
文章編號e001625
期刊Circulation: Cardiovascular Genetics
10
發行號5
DOIs
出版狀態已發佈 - 10月 1 2017

ASJC Scopus subject areas

  • 遺傳學
  • 心臟病學與心血管醫學
  • 遺傳學(臨床)

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