Archives of oral biology · 2020
Associations of the microRNA gene polymorphisms with the risk of non-syndromic supernumerary teeth in a Chinese population.
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Yang Fan, Yu Xin, Fan Liwen, Xu Ziang, Kan Shiyi, Zhu Guirong, Gu Min, Lou Shu, Li Dandan, Ma Lan, Zhang Weibing, Wang Lin, Pan Yongchu
Аннотация
OBJECTIVE: Non-syndromic supernumerary teeth (NSST) are a common type of dental anomaly. microRNAs (miRNAs) play an important role in craniofacial and tooth development. Therefore, we hypothesized that single nucleotide polymorphisms (SNPs) of miRNAs may be associated with the susceptibility of NSST.
MATERIALS AND METHODS: Four miRNA SNPs (rs2910164, rs11614913, rs2043556, and rs2682818) were selected, and their associations with NSST susceptibility were evaluated in a case-control study (163 NSST patients and 326 healthy controls).
RESULTS: rs2910164 was significantly associated with a risk of lower NSST (additive model: OR = 4.00, 95 % CI = 1.76-9.09, P = 0.001), and rs2682818 showed nominal association with a risk of upper NSST (additive model: OR = 1.40, 95 % CI = 1.02-1.91, P = 0.037) and NSST among male patients (additive model: OR = 1.62, 95 % CI = 1.08-2.43, P = 0.020).
CONCLUSION: Genetic variants of miR-146a/rs2910164 and miR-618/rs2682818 were likely associated with the risk of NSST in the Chinese population.
MATERIALS AND METHODS: Four miRNA SNPs (rs2910164, rs11614913, rs2043556, and rs2682818) were selected, and their associations with NSST susceptibility were evaluated in a case-control study (163 NSST patients and 326 healthy controls).
RESULTS: rs2910164 was significantly associated with a risk of lower NSST (additive model: OR = 4.00, 95 % CI = 1.76-9.09, P = 0.001), and rs2682818 showed nominal association with a risk of upper NSST (additive model: OR = 1.40, 95 % CI = 1.02-1.91, P = 0.037) and NSST among male patients (additive model: OR = 1.62, 95 % CI = 1.08-2.43, P = 0.020).
CONCLUSION: Genetic variants of miR-146a/rs2910164 and miR-618/rs2682818 were likely associated with the risk of NSST in the Chinese population.