DHPLC Elution Patterns of VDR PCR Products Can Predict Prostate Cancer Susceptibility in African American Men

التفاصيل البيبلوغرافية
العنوان: DHPLC Elution Patterns of VDR PCR Products Can Predict Prostate Cancer Susceptibility in African American Men
المؤلفون: Robert L. Copeland, Victor Apprey, Mohammad Daremipouran, Yasmine Kanaan, Olakunle O. Kassim, Tammey Naab, Desta Beyene
بيانات النشر: International Institute of Anticancer Research, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Adult, Male, Cancer Research, Pcr cloning, Biology, Biochemistry, Calcitriol receptor, Polymerase Chain Reaction, 03 medical and health sciences, chemistry.chemical_compound, Exon, Prostate cancer, 0302 clinical medicine, Genetics, medicine, Humans, 030212 general & internal medicine, Molecular Biology, Gene, Chromatography, High Pressure Liquid, Elution, Prostatic Neoplasms, medicine.disease, Molecular biology, Black or African American, chemistry, 030220 oncology & carcinogenesis, Receptors, Calcitriol, DNA, Heteroduplex, Research Article
الوصف: Background/Aim: Denaturing high-performance liquid chromatography (DHPLC) is a technique that is used to detect mutations. The aim of the present study was to determine whether DHPLC elution patterns of vitamin D receptor (VDR) gene PCR products can serve as indicators of susceptibility to prostate cancer (PCa) risk. Materials and Methods: DNA samples of PCa cases and controls were screened for mutations and/or polymorphisms in coding exons of VDR gene using DHPLC analysis. Logistic regression, phi-coefficient (φ), and Backward Wald models were used to analyze the data. Results: Similar elution patterns of exons 1, 6, 7 and 9 along with higher prevalence of heteroduplex DNA were observed in PCa samples than in controls. Exons 4 and 8 had highly significant protective effects (p
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::137cb3e3d878544d0d4dfc816018b561
https://europepmc.org/articles/PMC6070329/
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....137cb3e3d878544d0d4dfc816018b561
قاعدة البيانات: OpenAIRE