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

Authors :
Kuo HC
Wong HS
Chang WP
Chen BK
Wu MS
Yang KD
Hsieh KS
Hsu YW
Liu SF
Liu X
Chang WC
Source :
Circulation. Cardiovascular genetics [Circ Cardiovasc Genet] 2017 Oct; Vol. 10 (5).
Publication Year :
2017

Abstract

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.<br />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 <superscript>-</superscript> <superscript>03</superscript> and 8.224×10 <superscript>-</superscript> <superscript>10</superscript> , respectively).<br />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.<br /> (© 2017 The Authors.)

Details

Language :
English
ISSN :
1942-3268
Volume :
10
Issue :
5
Database :
MEDLINE
Journal :
Circulation. Cardiovascular genetics
Publication Type :
Academic Journal
Accession number :
29025760
Full Text :
https://doi.org/10.1161/CIRCGENETICS.116.001625