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

نویسندگان

  • 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
چکیده

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.

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عنوان ژورنال:

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2017