ArticlePloS one2017
Whole genome sequencing of an African American family highlights toll like receptor 6 variants in Kawasaki disease susceptibility.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- A comprehensive integration of data on the association of ITPKC polymorphisms with susceptibility to Kawasaki disease: a meta-analysis.BMC medical genomics · 2025Pooled it
- Association of an IGHV3-66 gene variant with Kawasaki disease.Journal of human genetics · 2021Pooled it
- Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation.Current issues in molecular biology · 2026Article
- Polymorphism-driven immune disruptions in Kawasaki disease across populations: decoding the role of T and B-cells.Frontiers in immunology · 2025Review
- The etiologies of Kawasaki disease.The Journal of clinical investigation · 2024Review
- Comparable bidirectional neutrophil immune dysregulation between Kawasaki disease and severe COVID-19.Frontiers in immunology · 2022Article
- Kawasaki syndrome: role of superantigens revisited.The FEBS journal · 2021Review
- Host/genetic factors associated with COVID-19 call for precision medicine.Precision clinical medicine · 2020Article
- The Expression of Glycoprotein Genes in the Inflammatory Process of Kawasaki Disease.Frontiers in pediatrics · 2020Article
- Biomarkers for Kawasaki Disease: Clinical Utility and the Challenges Ahead.Frontiers in pediatrics · 2019Review
- [Research advances in the pathogenesis of familial Kawasaki disease].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2018Review
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Authors and funding
14 authors at 5 institutions in 3 countries.
Funding
Abstract
Kawasaki disease (KD) is the most common acquired pediatric heart disease. We analyzed Whole Genome Sequences (WGS) from a 6-member African American family in which KD affected two of four children. We sought rare, potentially causative genotypes by sequentially applying the following WGS filters: sequence quality scores, inheritance model (recessive homozygous and compound heterozygous), predicted deleteriousness, allele frequency, genes in KD-associated pathways or with significant associations in published KD genome-wide association studies (GWAS), and with differential expression in KD blood transcriptomes. Biologically plausible genotypes were identified in twelve variants in six genes in the two affected children. The affected siblings were compound heterozygous for the rare variants p.Leu194Pro and p.Arg247Lys in Toll-like receptor 6 (TLR6), which affect TLR6 signaling. The affected children were also homozygous for three common, linked (r2 = 1) intronic single nucleotide variants (SNVs) in TLR6 (rs56245262, rs56083757 and rs7669329), that have previously shown association with KD in cohorts of European descent. Using transcriptome data from pre-treatment whole blood of KD subjects (n = 146), expression quantitative trait loci (eQTL) analyses were performed. Subjects homozygous for the intronic risk allele (A allele of TLR6 rs56245262) had differential expression of Interleukin-6 (IL-6) as a function of genotype (p = 0.0007) and a higher erythrocyte sedimentation rate at diagnosis. TLR6 plays an important role in pathogen-associated molecular pattern recognition, and sequence variations may affect binding affinities that in turn influence KD susceptibility. This integrative genomic approach illustrates how the analysis of WGS in multiplex families with a complex genetic disease allows examination of both the common disease-common variant and common disease-rare variant hypotheses.
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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.