Pharmacogenomics of intravenous immunoglobulin response in Kawasaki disease.

IVIG refractory Kawasaki disease Pharmacaeconomics ancestry whole genome sequencing

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2023
Historique:
received: 20 09 2023
accepted: 12 12 2023
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 23 1 2024
Statut: epublish

Résumé

Kawasaki disease (KD) is a diffuse vasculitis in children. Response to high dose intravenous gamma globulin (IVIG), the primary treatment, varies according to genetic background. We sought to identify genetic loci, which associate with treatment response using whole genome sequencing (WGS). We performed WGS in 472 KD patients with 305 IVIG responders and 167 non-responders defined by AHA clinical criteria. We conducted logistic regression models to test additive genetic effect in the entire cohort and in four subgroups defined by ancestry information markers (Whites, African Americans, Asians, and Hispanics). We performed functional mapping and annotation using FUMA to examine genetic variants that are potentially involved IVIG non-response. Further, we conducted SNP-set [Sequence] Kernel Association Test (SKAT) for all rare and common variants. Of the 43,288,336 SNPs (23,660,970 in intergenic regions, 16,764,594 in introns and 556,814 in the exons) identified, the top ten hits associated with IVIG non-response were in This WGS study identified multiple predominantly novel understudied genes associated with IVIG response. These data can serve to inform regarding pathogenesis of KD, as well as lay ground work for developing treatment response predictors.

Identifiants

pubmed: 38259468
doi: 10.3389/fimmu.2023.1287094
pmc: PMC10800400
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1287094

Informations de copyright

Copyright © 2024 Shrestha, Wiener, Kajimoto, Srinivasasainagendra, Ledee, Chowdhury, Cui, Chen, Beckley, Padilla, Dahdah, Tiwari and Portman.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Sadeep Shrestha (S)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.

Howard W Wiener (HW)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.

Hidemi Kajimoto (H)

Division of Cardiology, Seattle Children's and University of Washington Department of Pediatrics, Seattle, WA, United States.

Vinodh Srinivasasainagendra (V)

Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.

Dolena Ledee (D)

Division of Cardiology, Seattle Children's and University of Washington Department of Pediatrics, Seattle, WA, United States.

Sabrina Chowdhury (S)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.

Jinhong Cui (J)

Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.

Jake Y Chen (JY)

Informatics Institute, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.

Mikayla A Beckley (MA)

Division of Cardiology, Seattle Children's and University of Washington Department of Pediatrics, Seattle, WA, United States.

Luz A Padilla (LA)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.

Nagib Dahdah (N)

CHU Ste-Justine, Universite de Montreal, Montreal, QC, Canada.

Hemant K Tiwari (HK)

Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.

Michael A Portman (MA)

Division of Cardiology, Seattle Children's and University of Washington Department of Pediatrics, Seattle, WA, United States.

Classifications MeSH