Dataset Information

Identification of gene mutation in patients with osteogenesis imperfect using high resolution melting analysis.

ABSTRACT: Osteogenesis imperfecta (OI), a congenital bone disorder, is caused by mutations in COL1A1 and COL1A2 genes, leading to deficiency of type I collagen. The high resolution melting (HRM) analysis has been used for detecting mutations, polymorphisms and epigenetic alteration in double-stranded DNAs. This study was to evaluate the potential application of HRM analysis for identifying gene mutations in patients with OI. This study included four children with OI and their parents and fifty normal people as controls. Blood samples were collected for HRM analysis of PCR-amplified exons and flanking DNA sequences of COL1A1 and COL1A2 genes. Direct gene sequencing was performed to validate HRM-identified gene mutations. As compared to controls, HRM analysis of samples form children with OI showed abnormal melting curves in exons 11 and 33-34 of the COL1A1 gene and exons 19 and 48 of the COL1A2 gene, which indicates the presence of heterozygous mutations in COL1A1 and COL1A2 genes. In addition to two known mutations in the COL1A2 gene, c.982G?>?A and c.3197G?>?T, sequencing analysis identified two novel mutations in the COL1A1 gene, c.2321delC and c.768dupC mutations, which function as premature stop codons. These results support future studies of applying HRM analysis as a diagnostic approach for OI.

SUBMITTER: Wang J

PROVIDER: S-EPMC4549685 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

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Identification of gene mutation in patients with osteogenesis imperfect using high resolution melting analysis.

Wang Jianhai J Ren Xiuzhi X Bai Xue X Zhang Tianke T Wang Yi Y Li Keqiu K Li Guang G

Scientific reports 20150826

Osteogenesis imperfecta (OI), a congenital bone disorder, is caused by mutations in COL1A1 and COL1A2 genes, leading to deficiency of type I collagen. The high resolution melting (HRM) analysis has been used for detecting mutations, polymorphisms and epigenetic alteration in double-stranded DNAs. This study was to evaluate the potential application of HRM analysis for identifying gene mutations in patients with OI. This study included four children with OI and their parents and fifty normal peop ...[more]

PMID: 26307460

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Project description:Glutathione S-transferases, including GST-T1 and GST-M1, are known to be involved in the phase II detoxification pathways for xenobiotics as well as in the metabolism of endogenous compounds. Polymorphisms in these genes have been linked to an increased susceptibility to carcinogenesis and associated with risk factors that predispose to certain inflammatory diseases. In addition, GST-T1 and GST-M1 null genotypes have been shown to be responsible for interindividual variations in the metabolism of arsenic, a known human carcinogen. To assess the specific GST genotypes in the Mexican population chronically exposed to arsenic, we have developed a multiplex High Resolution Melting PCR (HRM-PCR) analysis using a LightCycler480 instrument. This method is based on analysis of the PCR product melting curve that discriminates PCR products according to their lengths and base sequences. Three pairs of primers that specifically recognize GST-T1, GST-M1, and β-globin, an internal control, to produce amplicons of different length were designed and combined with LightCycler480 High Resolution Melting Master Mix containing ResoLight, a completely saturating DNA dye. Data collected from melting curve analysis were evaluated using LightCycler480 software to determine specific melting temperatures of individual melting curves representing target genes. Using this newly developed multiplex HRM-PCR analysis, we evaluated GST-T1 and GST-M1 genotypes in 504 DNA samples isolated from the blood of individuals residing in Zimapan, Lagunera, and Chihuahua regions in Mexico. We found that the Zimapan and Lagunera populations have similar GST-T1 and GST-M1 genotype frequencies which differ from those of the Chihuahua population. In addition, 14 individuals have been identified as carriers of the double null genotype, i.e., null genotypes in both GST-T1 and GST-M1 genes. Although this procedure does not distinguish between biallelic (+/+) and monoallelic (+/-) genotypes, it can be used in an automated workflow as a simple, sensitive, and time and money saving procedure for rapid identification of the GST-T1 and GST-M1 positive or null genotypes.

Dataset Information

Identification of gene mutation in patients with osteogenesis imperfect using high resolution melting analysis.

Publications

Identification of gene mutation in patients with osteogenesis imperfect using high resolution melting analysis.

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