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Erschienen in: Inflammation 6/2023

18.07.2023 | RESEARCH

Whole-Exome Sequencing for Identification of Potential Sex-Biased Variants in Kawasaki Disease Patients

verfasst von: Yufen Xu, Di Che, Xiaoyu Zuo, Lanyan Fu, Lei Pi, Huazhong Zhou, Yaqian Tan, Kejian Wang, Xiaoqiong Gu

Erschienen in: Inflammation | Ausgabe 6/2023

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Abstract

Kawasaki disease (KD) is an autoimmune disease of unknown etiology and has become a main cause of childhood acquired heart disease. KD is more prevalent in males than in females. The reason for this sex bias is unknown. Here, we used whole-exome sequencing (WES) to identify significantly different variants between male and female KD patients. From WES result, a total of 19,500 shared genetic variants in 8421 genes were captured via a series of filters. Further comparisons based on sex were performed to obtain 34 potential sex-biased variants in 34 genes for GO and Reactome Gene Sets enrichment analyses. Moreover, we selected 6 variants associated with immune, cells adhesion, platelet function, homeostasis, and ion channel signaling and expanded the sample size (1247 KD patients containing 713 males and 534 females, 803 healthy population containing 481 males and 322 females) for genotyping validation. From the results, USH2A/rs148135241, LMO7/rs142687160, CEMIP/rs12441101, and EFCC1/rs142391828 presented significant differences of alleles/genotypes frequency distributions between male and female only in KD patients (which were consistent with the result of WES analysis) but not in healthy population. In addition, the result also found that only EFCC1/rs142391828 polymorphism was associated with KD susceptibility. This result suggested that those four variants might play critical roles in sex bias in KD. The study would be in favor of a sex-specific genome atlas establishing and novel sex-specific precision therapies development for KD.
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Metadaten
Titel
Whole-Exome Sequencing for Identification of Potential Sex-Biased Variants in Kawasaki Disease Patients
verfasst von
Yufen Xu
Di Che
Xiaoyu Zuo
Lanyan Fu
Lei Pi
Huazhong Zhou
Yaqian Tan
Kejian Wang
Xiaoqiong Gu
Publikationsdatum
18.07.2023
Verlag
Springer US
Erschienen in
Inflammation / Ausgabe 6/2023
Print ISSN: 0360-3997
Elektronische ISSN: 1573-2576
DOI
https://doi.org/10.1007/s10753-023-01869-4

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