Risk Genetic Variants () for Osteoporosis in Han Population from Northwest China

Overview

Journal J Inflamm Res

Publisher Dove Medical Press

Date 2023 Mar 21

PMID 36941985

Authors

Kai Rong

Yi Lang

Yubo Zhou

Liangtao Ni

Lei Wang

Long Wang

Yaowu Zhang

Fengli Wen

Zhan Wang

Pingbo Chen

Affiliations

Soon will be listed here.

Abstract

Background: Osteoporosis (OP) is a common metabolic bone disease characterized by loss of bone mass. is considered to be a powerful immune and inflammatory suppressor. This study aimed to assess association between genetic loci in and susceptibility to OP.

Methods: Association analysis between genetic loci and OP risk through SNPStats online software. FPRP analysis (false-positive report probability) verified whether the positive results were noteworthy findings. Linkage disequilibrium (LD) and haplotype analysis were completed by Haploview 4.2 and SNPStats. Multi-factor dimensionality reduction (MDR) was used to assess interaction of SNP-SNP in susceptibility to OP.

Results: Allele "G" of -rs1554286 (OR = 1.21, p = 0.013), allele "C" of -rs1518111 (OR = 1.22, = 0.011), allele "C" of -rs3024490 (OR = 1.20, = 0.018), and allele "G" of -rs1800871 (OR = 1.21, = 0.015) were risk factors for OP. In females, smoking, drinking, or aging ≤60 years old participants, the above genetic loci are also significantly associated with the increased risk of OP. FPRP analysis showed that all positive results are noteworthy findings. There are significant differences in serum levels of uric acid, mean hemoglobin concentration, or mean hemoglobin among different genotypes of gene loci. MDR showed that four loci model composed rs1554286, rs1518111, rs3021094, and rs1800871 is the best model for predicting OP risk.

Conclusion: -rs1554286, -rs1518111, -rs3021094, and -rs1800871 are risk factors for susceptibility to OP.

Citing Articles

Text Mining and Drug Discovery Analysis: A Comprehensive Approach to Investigate Diabetes-Induced Osteoporosis.

Wang C, Hu Y, Liang F Int J Med Sci. 2024; 21(3):464-473.

PMID: 38250601 PMC: 10797669. DOI: 10.7150/ijms.90829.

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