Evidence map›Paper›PMID 37202775›Full record

ArticleJournal of orthopaedic surgery and research2023

LRP5-/6 gene polymorphisms and its association with risk of abnormal bone mass in postmenopausal women.

Jun Li, Zebing Liu, Yanxia Ren, Han Shao, Siyuan Li

Abstract read
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Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Jun Li *The First Affiliated Hospital of Shihezi University, 107 North Second Road, Hongshan Sub-District, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, People's Republic of China. xjlijun@163.com.
Zebing Liu *The First Affiliated Hospital of Shihezi University, 107 North Second Road, Hongshan Sub-District, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, People's Republic of China.
Yanxia Ren *The First Affiliated Hospital of Shihezi University, 107 North Second Road, Hongshan Sub-District, Shihezi City, 832000, Xinjiang Uygur Autonomous Region, People's Republic of China.
Han Shao *School of Medicine, Shihezi University, Shihezi, 832000, Xinjiang Uygur Autonomous Region, People's Republic of China.
Siyuan Li *School of Medicine, Shihezi University, Shihezi, 832000, Xinjiang Uygur Autonomous Region, People's Republic of China.

Funding

Science and Technology Project of the Xinjiang Production and Construction Corps 2021AB031the Achievement transformation and technology popularization project of Shihezi University CGZH201911the International Science and Technology Cooperation and Promotion Program: Study on the role and mechanism of FOSL2 in T2DM through TGF-β1/Smad3 signaling pathway GJHZ202206
6 · The paper itself

Abstract

objectivesTo assess LRP5-/6 gene polymorphisms and its association with risk of abnormal bone mass (ABM) in postmenopausal women.

methodsThe study recruited 166 patients with ABM (case group) and 106 patients with normal bone mass (control group) based on bone mineral density (BMD) results. Multi-factor dimensionality reduction (MDR) was used to analyze the interaction between the Low-density lipoprotein receptor-related protein 5 (LRP5) gene (rs41494349, rs2306862) and the Low-density lipoprotein receptor-related protein 6 (LRP6) gene (rs10743980, rs2302685) and the subjects' clinical characteristics of age and menopausal years.

results(1) Logistic regression analysis showed that the subjects with the CT or TT genotype at rs2306862 had a higher risk of ABM than those with the CC genotype (OR = 2.353, 95%CI = 1.039-6.186; OR = 2.434, 95%CI = 1.071, 5.531; P < 0.05). The subjects with the TC genotype at rs2302685 had a higher risk of ABM than those with the TT genotype (OR = 2.951, 95%CI = 1.030-8.457, P < 0.05). (2) When taking the three Single-nucleotide polymorphisms (SNPs) together, the accuracy was the highest with the cross-validation consistency of 10/10 (OR = 1.504, 95%CI:1.092-2.073, P < 0.05), indicating that the LRP5 rs41494349 and LRP6 rs10743980, rs2302685 were interactively associated with the risk of ABM. (3) Linkage disequilibrium (LD) results revealed that the LRP5 (rs41494349,rs2306862) were in strong LD (D' > 0.9, r

conclusionThese findings indicate that LRP5-rs2306862 and LRP6-rs2302685 polymorphisms and gene-gene and gene-age interactions may increase the risk of ABM in postmenopausal women. There was no significant association between any of the SNPs and menopausal years and ABM susceptibility.

Indexed as

Bone DensityLow Density Lipoprotein Receptor-Related Protein-5FemaleGenotypeHumansLow Density Lipoprotein Receptor-Related Protein-6Polymorphism, Single NucleotidePostmenopauseLow Density Lipoprotein Receptor-Related Protein-5Low Density Lipoprotein Receptor-Related Protein-6LRP5 protein, humanLRP6 protein, humanAbnormal bone massGene interactionHaplotypeLRP5-/6Single-nucleotide polymorphism

Identifiers

PMID37202775
PMCPMC10193731

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.