Cargando…
Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease
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 RESUL...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647111/ https://www.ncbi.nlm.nih.gov/pubmed/29025760 http://dx.doi.org/10.1161/CIRCGENETICS.116.001625 |
_version_ | 1783272209293246464 |
---|---|
author | Kuo, Ho-Chang Wong, Henry Sung-Ching Chang, Wei-Pin Chen, Ben-Kuen Wu, Mei-Shin Yang, Kuender D. Hsieh, Kai-Sheng Hsu, Yu-Wen Liu, Shih-Feng Liu, Xiao Chang, Wei-Chiao |
author_facet | Kuo, Ho-Chang Wong, Henry Sung-Ching Chang, Wei-Pin Chen, Ben-Kuen Wu, Mei-Shin Yang, Kuender D. Hsieh, Kai-Sheng Hsu, Yu-Wen Liu, Shih-Feng Liu, Xiao Chang, Wei-Chiao |
author_sort | Kuo, Ho-Chang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5647111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-56471112017-10-31 Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease Kuo, Ho-Chang Wong, Henry Sung-Ching Chang, Wei-Pin Chen, Ben-Kuen Wu, Mei-Shin Yang, Kuender D. Hsieh, Kai-Sheng Hsu, Yu-Wen Liu, Shih-Feng Liu, Xiao Chang, Wei-Chiao Circ Cardiovasc Genet Original Articles 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. Lippincott Williams & Wilkins 2017-10 2017-10-12 /pmc/articles/PMC5647111/ /pubmed/29025760 http://dx.doi.org/10.1161/CIRCGENETICS.116.001625 Text en © 2017 The Authors. Circulation: Cardiovascular Genetics is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made. |
spellingShingle | Original Articles Kuo, Ho-Chang Wong, Henry Sung-Ching Chang, Wei-Pin Chen, Ben-Kuen Wu, Mei-Shin Yang, Kuender D. Hsieh, Kai-Sheng Hsu, Yu-Wen Liu, Shih-Feng Liu, Xiao Chang, Wei-Chiao Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease |
title | Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease |
title_full | Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease |
title_fullStr | Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease |
title_full_unstemmed | Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease |
title_short | Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified From Genome-Wide Association Study in Kawasaki Disease |
title_sort | prediction for intravenous immunoglobulin resistance by using weighted genetic risk score identified from genome-wide association study in kawasaki disease |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647111/ https://www.ncbi.nlm.nih.gov/pubmed/29025760 http://dx.doi.org/10.1161/CIRCGENETICS.116.001625 |
work_keys_str_mv | AT kuohochang predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT wonghenrysungching predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT changweipin predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT chenbenkuen predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT wumeishin predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT yangkuenderd predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT hsiehkaisheng predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT hsuyuwen predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT liushihfeng predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT liuxiao predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease AT changweichiao predictionforintravenousimmunoglobulinresistancebyusingweightedgeneticriskscoreidentifiedfromgenomewideassociationstudyinkawasakidisease |