Polymorphisms in BMP4 and FGFR1 genes are associated with fracture non-union

ABSTRACT Fracture healing is a complex process influenced by a multitude of factors and expression of several thousand genes. Polymorphisms in these genes can lead to an extended healing process and explain why certain patients are more susceptible to develop non‐union. A total of 16 SNPs within fiv...

Full description

Saved in:
Bibliographic Details
Published in:Journal of orthopaedic research 2013-12, Vol.31 (12), p.1971-1979
Main Authors: Guimarães, João Matheus, Guimarães, Isabel Cristina do Val, Duarte, Maria Eugenia Leite, Vieira, Thays, Vianna, Verônica Fernandes, Fernandes, Marco Bernardo Cury, Vieira, Alexandre Rezende, Casado, Priscila Ladeira
Format: Article
Language:English
Subjects:
Adult
Aged
bone healing
Bone Morphogenetic Protein 4 - genetics
Female
Fracture Healing
fracture repair
Fractures, Ununited - genetics
haplotype
Haplotypes
Humans
Male
Middle Aged
non-union
polymorphism
Polymorphism, Single Nucleotide
Receptor, Fibroblast Growth Factor, Type 1 - genetics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT Fracture healing is a complex process influenced by a multitude of factors and expression of several thousand genes. Polymorphisms in these genes can lead to an extended healing process and explain why certain patients are more susceptible to develop non‐union. A total of 16 SNPs within five genes involved in bone repair pathogenesis (FAM5C, BMP4, FGF3, FGF10, and FGFR1) were investigated in 167 patients with long bone fractures, 101 with uneventful healing, and 66 presenting aseptic non‐unions. Exclusion criteria were patients presenting pathological fractures, osteoporosis, hypertrophic and infected non‐unions, pregnancy, and children. All genetic markers were genotyped using TaqMan real‐time PCR. Chi‐square test was used to compare genotypes, allele frequencies, and haplotype differences between groups. Binary logistic regression analyzed the significance of many covariates and the incidence of non‐union. Statistical analysis revealed open fracture to be a risk factor for non‐union development (p 
ISSN:0736-0266
1554-527X
DOI:10.1002/jor.22455