Dataset Information

The roles of Ca2+/NFAT signaling genes in Kawasaki disease: single- and multiple-risk genetic variants.

ABSTRACT: Ca(2+)/nuclear factor of activated T-cells (Ca(2+)/NFAT) signaling pathway may play a crucial role in Kawasaki disease (KD). We investigated 16 genetic variants, selected by bioinformatics analyses or previous studies, in 7 key genes involved in this pathway in a Chinese population. We observed a significantly or marginally increased KD risk associated with rs2720378 GC + CC genotypes (OR = 1.39, 95% CI = 1.07-1.80, P = 0.014) or rs2069762 AC + CC genotypes (OR = 1.28, 95% CI = 0.98-1.67, P = 0.066), compared with their wild type counterparts. In classification and regression tree analysis, individuals carrying the combined genotypes of rs2720378 GC or CC genotype, rs2069762 CA or CC genotype and rs1561876 AA genotype exhibited the highest KD risk (OR = 2.12, 95% CI = 1.46-3.07, P < 0.001), compared with the lowest risk carriers of rs2720378 GG genotype. Moreover, a significant dose effect was observed among these three variants (Ptrend < 0.001). In conclusion, this study implicates that single- and multiple-risk genetic variants in this pathway might contribute to KD susceptibility. Further studies on more comprehensive single nucleotide polymorphisms, different ethnicities and larger sample sizes are warranted, and the exact biological mechanisms need to be further clarified.

SUBMITTER: Wang W

PROVIDER: S-EPMC4047536 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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The roles of Ca2+/NFAT signaling genes in Kawasaki disease: single- and multiple-risk genetic variants.

Wang Wei W Lou Jiao J Zhong Rong R Qi Yan-qi YQ Shen Na N Lu Xu-zai XZ Wang Yu-jia YJ Zhang Qing Q Zou Li L Duan Jia-yu JY Ke Jun-tao JT Miao Xiao-ping XP Gong Fang-qi FQ

Scientific reports 20140606

Ca(2+)/nuclear factor of activated T-cells (Ca(2+)/NFAT) signaling pathway may play a crucial role in Kawasaki disease (KD). We investigated 16 genetic variants, selected by bioinformatics analyses or previous studies, in 7 key genes involved in this pathway in a Chinese population. We observed a significantly or marginally increased KD risk associated with rs2720378 GC + CC genotypes (OR = 1.39, 95% CI = 1.07-1.80, P = 0.014) or rs2069762 AC + CC genotypes (OR = 1.28, 95% CI = 0.98-1.67, P = 0. ...[more]

PMID: 24903211

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Project description:ObjectiveMultiple sclerosis (MS) is a multifactorial neurologic disease characterized by modest but tractable heritability. Genome-wide association studies have identified and/or validated multiple polymorphisms in approximately 16 genes associated with susceptibility. We aimed at investigating the aggregation of genetic MS risk markers in individuals by comparing multiple- and single-case families.MethodsA weighted log-additive integrative approach termed MS genetic burden (MSGB) was used to account for the well-established genetic variants from previous association studies and meta-analyses. The corresponding genetic burden and its transmission was analyzed in 1,213 independent MS families (810 sporadic and 403 multicase families).ResultsMSGB analysis demonstrated a higher aggregation of susceptibility variants in multicase compared to sporadic MS families. In addition, the aggregation of non-major histocompatibility complex single nucleotide polymorphisms depended neither on gender nor on the presence or absence of HLA-DRB1*15:01 alleles. Interestingly, although a greater MSGB in siblings of MS patients was associated with an increased risk of MS (odds ratio, 2.1; p = 0.001), receiver operating characteristic curves of MSGB differences between probands and sibs (area under the receiver operator curves, 0.57 [95% confidence interval, 0.53-0.61]) show that case-control status prediction of MS cannot be achieved with the currently available genetic data.InterpretationThe primary interest in the MSGB concept resides in its capacity to integrate cumulative genetic contributions to MS risk. This analysis underlines the high variability of family load with known common variants. This novel approach can be extended to other genetically complex diseases. Despite the emphasis on assembling large case-control datasets, multigenerational, multiaffected families remain an invaluable resource for advancing the understanding of the genetic architecture of complex traits.

Dataset Information

The roles of Ca2+/NFAT signaling genes in Kawasaki disease: single- and multiple-risk genetic variants.

Publications

The roles of Ca2+/NFAT signaling genes in Kawasaki disease: single- and multiple-risk genetic variants.

Similar Datasets

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