IL-1R2 Polymorphisms and its Interaction Associates With Osteoporosis Susceptibility in Chinese Han Population

Abstract Background: IL-1R2, serves as a negative regulator of IL-1 signaling, is involved in the pathogenesis of osteoporosis. This study aimed to determine the correlation between IL-1R2 polymorphism and osteoporosis susceptibility among the Chinese Han population.Methods: We recruited 594 osteoporosis patients and 599 healthy controls. Six single nucleotide polymorphisms (SNPs) in IL-1R2 were selected for genotyping using Agena MassARRAY platform. Odds ratio (OR) and 95% confidence interval (CI) was calculated through logistic regression analysis with adjustment for age and sex. Linkage disequilibrium analysis was plotted by Haploview v4.2. Multifactor dimension reduction (MDR) was performed to estimate the SNP-SNP interaction of IL-1R2 variants.Results: Our result revealed that rs11674595 (OR = 1.86, p = 0.020), rs2072472 (OR = 1.26, p = 0.019) and rs4851527 (OR = 0.78, p = 0.007) were related to the risk of osteoporosis. Moreover, the contribution of IL-1R2 polymorphisms to osteoporosis risk presented age, sex and BMI difference. We found the relationship of Trs11674595Ars4851527 (OR = 0.80, p = 0.015), Crs11674595Grs4851527 (OR = 1.22, p = 0.043) and Ars3218977Grs2072472 (OR = 1.25, p = 0.022) haplotypes to osteoporosis occurrence, and a potential accumulated effect of IL-1R2 SNPs (testing accuracy = 0.5783 and CVC = 10/10) on osteoporosis susceptibility.Conclusion: IL-1R2 polymorphisms (rs11674595, rs4851527, rs2072472 and rs3218977) might contribute to osteoporosis risk among the Chinese Han population. Our finding may increase our understanding of the effects of IL-1R2 polymorphisms on the predisposition of osteoporosis..

Medienart:

Preprint

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

ResearchSquare.com - (2020) vom: 23. Sept. Zur Gesamtaufnahme - year:2020

Sprache:

Englisch

Beteiligte Personen:

Rong, Kai [VerfasserIn]
Liang, Zhiquan [VerfasserIn]
Xiang, Wenyuan [VerfasserIn]
Wang, Zhan [VerfasserIn]
Wen, Fengli [VerfasserIn]
Lu, Laijin [VerfasserIn]

Links:

Volltext [kostenfrei]

doi:

10.21203/rs.3.rs-25428/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA034601309