Background: Although certain genetic components have been reported as contributing factors for Perthes disease, its etiology remains unclear. We present a rare case of Perthes disease in a child with osteogenesis imperfecta (OI) caused by a mutation in the COL1A1 gene (NM_000088):exon25:c.1726C>T, (p.Gln576X). Case presentations: A 7-year-old boy was initially treated at our medical facility in March 2016 with a history of chronic pain in right hip joint and limping for a year. He was diagnosed as Perthes disease in the right hip joint. He underwent acetabular osteotomy and ipsilateral proximal femoral varus osteotomy for better containment. During the follow-ups, the right hip demonstrated a normal range of motion without pain, and the pelvic X-ray demonstrated Stulberg Type II hip joint with a round femoral head. In the latest admission in 2022, he suffered from a right femoral shaft fracture after petty violence. After reviewing his medical history, he was suspected of having OI. The whole exome sequencing demonstrated a gene mutation in COL1A1 (OMIM 166200) and confirmed the diagnosis of OI. Telescopic nailing was used to treat the femoral shaft fracture. After the nailing of the right femur, the appearance of the lower extremity seemed normal and symmetrical. Conclusion: This study revealed that there might be an association between OI and Perthes disease. Our case report enriches the phenotypes of osteogenesis imperfecta and provides insight into the pathogenesis of LCPD.

Osteogenesis imperfecta (OI) is a genetic disease with an estimated prevalence of 1 in 13,500 and 1 in 9700. The classification into subtypes of OI is important for prognosis and management. In this study, we established a clinical severity prediction model depending on multiple features of variants in COL1A1/2 genes.
BACKGROUND: Ninety percent of OI cases are caused by pathogenic variants in the COL1A1/COL1A2 gene. The Sillence classification describes four OI types with variable clinical features ranging from mild symptoms to lethal and progressively deforming symptoms.
METHODS: We established a prediction model of the clinical severity of OI based on the random forest model with a training set obtained from the Human Gene Mutation Database, including 790 records of the COL1A1/COL1A2 genes. The features used in the prediction model were respectively based on variant-type features only, and the optimized features.
RESULTS: With the training set, the prediction results showed that the area under the receiver operating characteristic curve (AUC) for predicting lethal to severe OI or mild/moderate OI was 0.767 and 0.902, respectively, when using variant-type features only and optimized features for COL1A1 defects, 0.545 and 0.731, respectively, for COL1A2 defects. For the 17 patients from our hospital, prediction accuracy for the patient with the COL1A1 and COL1A2 defects was 76.5% (95% CI: 50.1-93.2%) and 88.2% (95% CI: 63.6-98.5%), respectively.
CONCLUSIONS: We established an OI severity prediction model depending on multiple features of the specific variants in COL1A1/2 genes, with a prediction accuracy of 76-88%. This prediction algorithm is a promising alternative that could prove to be valuable in clinical practice.

BACKGROUND: Osteogenesis imperfecta (OI) is a rare disease characterized by increased bone fragility and predisposition to fractures, bone deformities and other major signs such as dentinogenesis imperfecta, blue sclera and deafness. Over 90% of OI cases are caused by mutations in the COL1A1 and COL1A2 genes and the inheritance is autosomal dominant.
METHODS: We present a case of a couple requesting genetic counseling, because the man was diagnosed with OI on a clinical and radiological basis and the woman was pregnant. Whole exomes sequencing (WES) was performed in order to identify the mutation (s), followed by prenatal diagnosis.
RESULTS: WES identified a rare splicing mutation c.1155 + 1G > C in the COL1A1 gene recognized to be pathogenic and subsequently confirmed by next generation sequencing. The carrier state of the mutation was excluded for the fetus, so the pregnancy was further pursued and a healthy baby was born at term.
CONCLUSIONS: WES is a new and effective technique for detecting pathogenic variants in monogenic diseases and it is preferable to use such a technique in diseases with genetic heterogeneity especially when time does not allow another time-consuming diagnostic technique such classical Sanger sequencing. WES offers possibility to expand the global spectrum of OI pathogenic variants enabling the diagnosis of the disease.

CONCLUSIONS: The two discovered mutations in COL1A1 gene, although first reported in China, are recurrent ones that have also been found elsewhere in type I osteogenesis imperfecta patients, suggesting their role in pathogenesis of Van der Hoeve syndrome.
OBJECTIVE: The aim of this study is to find mutational patterns of COL1A1 gene that may account for the putative Van der Hoeve syndrome in the patients carrying symptoms of osteogenesis imperfecta, blue sclera, and conductive deafness.
METHODS: Genomic DNA was extracted from the blood of each patient and exons of COL1A1 gene were amplified using PCR and sequenced.
RESULTS: Sequencing in some of the two family members revealed point mutations in exon 26 (c.1792C > T) and exon 43 (c.3076C > T) of COL1A1 gene, respectively.

OBJECTIVE: The aim of this study was to examine the association of +1245G/T polymorphisms in the COL1A1 gene with ACL ruptures in Polish male recreational skiers in a case-control study.
METHODS: A total of 138 male recreational skiers with surgically diagnosed primary ACL ruptures, all of whom qualified for ligament reconstruction, were recruited for this study. The control group comprised 183 apparently healthy male skiers with a comparable level of exposure to ACL injury, none of whom had any self-reported history of ligament or tendon injury. DNA samples extracted from the oral epithelial cells were genotyped for the +1245G/T polymorphisms using real-time PCR method.
RESULTS: Genotype distributions among cases and controls conformed to Hardy-Weinberg equilibrium (p = 0.2469 and p = 0.33, respectively). There was a significant difference in the genotype distribution between skiers and controls (p = 0.045, Fisher\'s exact test). There was no statistical difference in allele distribution: OR 1.43 (0.91-2.25), p = 0.101 (two-sided Fisher\'s exact test).
CONCLUSIONS: The risk of ACL ruptures was around 1.43 times lower in carriers of a minor allele G as compared to carriers of the allele T.