- Author:
Won Il HEO
1
;
Kui Young PARK
;
Mi Kyung LEE
;
Nam Ju MOON
;
Seong Jun SEO
Author Information
- Publication Type:Original Article
- Keywords: Atopic dermatitis; Atopic march; Korean; Polymorphisms; Thymic stromal lymphopoietin
- MeSH: Asthma; Child; China; Costa Rica; Dermatitis, Atopic*; Early Diagnosis; Ethnic Groups; Gene Frequency; Haplotypes; Humans; Japan; Linkage Disequilibrium; Odds Ratio; Polymorphism, Single Nucleotide; Rhinitis, Allergic; Turkey
- From:Annals of Dermatology 2018;30(5):529-535
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND: Atopic march (AM) is the progression from atopic dermatitis (AD) to allergic rhinitis and asthma. The development of AD is as high as 20% in children worldwide and continues to increase. AD seems to be caused by both genetic and environmental factors. Recently, polymorphisms of the thymic stromal lymphopoietin (TSLP) gene associated with allergic disorders were reported in ethnic groups from various countries. OBJECTIVE: Identification of TSLP polymorphisms in Koreans with AD or AM. METHODS: Whole-exome sequencing was performed in 20 AD and 20 AM patients. RESULTS: Nine single nucleotide polymorphisms (SNPs) of TSLP were detected (rs191607411, rs3806933, rs2289276, rs2289277, rs2289278, rs139817258, rs11466749, rs11466750, rs10073816). These SNPs have been correlated with susceptibility to allergic diseases in ethnic groups from China, Japan, Turkey, and Costa Rica in previous studies. Remarkably, one of 20 patients in the AD group lacked all SNPs, compared to six of 20 patients in the AM group. Odds ratios showed that Korean patients without the nine TSLP variants had an 8.14 times higher risk of moving from AD to AM. Two haplotype blocks were validated in 60 AD and 59 AM patients using Sanger sequencing. The haplotype blocks (rs3806933 and rs2289276) and (rs11466749 and rs11466750) were in high linkage disequilibrium, respectively (D′=0.97, D′=1). CONCLUSION: The increase of major allele frequency of respective nine TSLP variants may enhance the risk of AM. These data will contribute to improved genetic surveillance system in the early diagnosis technology of allergic disease.