Evidence map›Paper›PMID 38816462›Full record

ArticleNPJ genomic medicine2024

Pharmacogenomics of coronary artery response to intravenous gamma globulin in kawasaki disease.

Sadeep Shrestha, Howard W Wiener, Sabrina Chowdhury, Hidemi Kajimoto, Vinodh Srinivasasainagendra, Olga A Mamaeva, Ujval N Brahmbhatt, Dolena Ledee, Yung R Lau, Luz A Padilla and 4 more

Abstract read
In one paragraph

Article in NPJ genomic medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. New avenues in childhood vasculitis.Pediatric rheumatology online journal · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Sadeep ShresthaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA. sshrestha@uab.edu.ORCID http://orcid.org/0000-0002-7002-357X
Howard W WienerDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Sabrina ChowdhuryDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Hidemi KajimotoDivision of Cardiology, Seattle Children's and University of Washington Department of Pediatrics, Seattle, WA, USA.
Vinodh SrinivasasainagendraDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Olga A MamaevaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Ujval N BrahmbhattDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Dolena LedeeDivision of Cardiology, Seattle Children's and University of Washington Department of Pediatrics, Seattle, WA, USA.
Yung R LauDivision of Pediatric Cardiology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Luz A PadillaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Jake Y ChenDepartment of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Nagib DahdahDivision of Pediatric Cardiology, CHU Ste-Justine, Universite de Montreal, Montreal, QC, Canada.
Hemant K TiwariDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Michael A PortmanDivision of Cardiology, Seattle Children's and University of Washington Department of Pediatrics, Seattle, WA, USA.

Funding

Genetic Prediction for Treatment Resistance in Kawasaki DiseaseR01HL146130 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI PORTMAN, MICHAEL A, SHRESTHA, SADEEP · 2019 to 2022
$3.6M
NHLBI NIH HHS R01 HL146130U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1R01HL146130
6 · The paper itself

Abstract

Kawasaki disease (KD) is a multisystem inflammatory illness of infants and young children that can result in acute vasculitis. The mechanism of coronary artery aneurysms (CAA) in KD despite intravenous gamma globulin (IVIG) treatment is not known. We performed a Whole Genome Sequencing (WGS) association analysis in a racially diverse cohort of KD patients treated with IVIG, both using AHA guidelines. We defined coronary aneurysm (CAA) (N = 234) as coronary z ≥ 2.5 and large coronary aneurysm (CAA/L) (N = 92) as z ≥ 5.0. We conducted logistic regression models to examine the association of genetic variants with CAA/L during acute KD and with persistence >6 weeks using an additive model between cases and 238 controls with no CAA. We adjusted for age, gender and three principal components of genetic ancestry. The top significant variants associated with CAA/L were in the intergenic regions (rs62154092 p < 6.32E-08 most significant). Variants in SMAT4, LOC100127, PTPRD, TCAF2 and KLRC2 were the most significant non-intergenic SNPs. Functional mapping and annotation (FUMA) analysis identified 12 genomic risk loci with eQTL or chromatin interactions mapped to 48 genes. Of these NDUFA5 has been implicated in KD CAA and MICU and ZMAT4 has potential functional implications. Genetic risk score using these 12 genomic risk loci yielded an area under the receiver operating characteristic curve (AUC) of 0.86. This pharmacogenomics study provides insights into the pathogenesis of CAA/L in IVIG-treated KD and shows that genomics can help define the cause of CAA/L to guide management and improve risk stratification of KD patients.

Identifiers

PMID38816462
PMCPMC11139870

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.