Background: The COL1A2 is located on chromosome 7q22.1, and mutations in this gene have been associated with the development of IAs. In this study, we investigated whether the rs42524 and rs2621215 polymorphisms of the COL1A2 gene are associated with the development of cerebral aneurysms in the Korean population.
Methods: This was a hospital-based case control study conducted at Chonnam University Hospital, Gwangju, Korea. The study population consisted of 320 patients who had been treated for IA and 189 healthy hospital-based controls (angiographically negative for an IA). Two polymorphic loci were amplified by polymerase chain reaction, namely, rs42524 in exon 28 and rs2621215 in intron 46 of the COL1A2 gene, and analyzed by RFLP using HhaI or BfaI restriction enzymes, respectively.
Results: The genotype frequencies of rs42524 in cases were 88.0%, 11.4%, and 0.6% for the GG, GC, and CC genotypes, respectively, and in controls were 88.9%, 10.0%, and 1.1%, respectively. Similarly, the genotype frequencies of rs2621515 in cases were 88.0%, 10.1%, and 0.2% for the TT, TG, and GG genotypes, respectively, and among controls were 92.1%, 7.9%, and 0%, respectively.
Conclusion: The rs2621215 SNP in intron 46 of the COL1A2 gene was found to be marginally associated with an increased risk of IA development in the Korean population examined. In contrast, rs42524 showed no association with an increased risk of IA development.
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http://dx.doi.org/10.1016/j.surneu.2009.02.009 | DOI Listing |
OMICS
March 2025
Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Huntington's disease (HD) is characterized by progressive motor dysfunction and cognitive decline. Early diagnosis and new therapeutic targets are essential for effective interventions. We performed integrative analyses of mRNA profiles from three microarrays and one RNA-seq dataset from the Gene Expression Omnibus database.
View Article and Find Full Text PDFNucleosides Nucleotides Nucleic Acids
March 2025
Aesthetic Medicine Department, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Objective: Using DNA microarray technology, we compared the differences in mRNA expression profiles between human hypertrophic scars (HTS) and normal skin tissues. Analyzing the differential genes in bioinformatics, to explore the pathogenesis of HTS at the molecular level, and to provide new targets for clinical treatment of HTS.
Methods: Three HTS samples and their adjacent normal skin samples were collected.
Am J Med Genet A
March 2025
Department of Paediatric Orthopaedics, Christian Medical College, Vellore, Tamil Nadu, India.
Heterozygous COL1A1 and COL1A2 gene variants are known to cause osteogenesis imperfecta (OI) in 90% of the patients in the Western and Japanese populations. Two previous Indian reports, a total of 49 patients, showed their proportion in the Indian population to be 44% and 71%. We studied a population of 210 children with a clinical diagnosis of OI and focused on the cohort of children with (likely) pathogenic COL1A1/COL1A2 variants.
View Article and Find Full Text PDFActa Obstet Gynecol Scand
March 2025
Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center of Nanjing Medical University, Changzhou, Jiangsu, China.
Introduction: Genetic factors are considered to be the main factors leading to fetal skeletal dysplasia (SD), and chromosomal microarray analysis (CMA) has been used clinically for the detection of SD fetuses. At present, whole exome sequencing (WES) has been applied in SD fetuses, but there is still a lack of data accumulation. The aim of this study is to perform sequential prenatal diagnosis for fetuses with SD indicated by ultrasound and to explore the clinical value of CMA followed by WES.
View Article and Find Full Text PDFArch Dermatol Res
March 2025
Department of Dermotology, Nanjing Drum Tower Hospital, Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210000, China.
To identify genes differentially expressed between resistant and sensitive BRAF V600E melanoma cell lines using bioinformatics tools applied to GEO data. We retrieved and downloaded the target gene set (GSE45558) from the GEO database and used R software to filter differentially expressed genes (DEGs) between BRAF V600E melanoma cell lines resistant. The identified DEGs were subjected to GO functional enrichment analysis (including biological processes, molecular functions, and cellular components) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, utilizing R software.
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