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Genetic risk score combining six genetic variants associated with the cellular NRF2 expression levels correlates with Type 2 diabetes in the human population

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العنوان: Genetic risk score combining six genetic variants associated with the cellular NRF2 expression levels correlates with Type 2 diabetes in the human population
المؤلفون: Jimin Shin, Kui Dong Kang, Yoon Shin Cho, Kyung Mi Lee, Jae Hun Shin, Chu Won Nho
المصدر: Genes & Genomics. 41:537-545
بيانات النشر: Springer Science and Business Media LLC, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Male, 0106 biological sciences, 0301 basic medicine, endocrine system diseases, NF-E2-Related Factor 2, Primary Cell Culture, Population, Genome-wide association study, Type 2 diabetes, Biology, Logistic regression, Polymorphism, Single Nucleotide, 01 natural sciences, Biochemistry, Cell Line, 03 medical and health sciences, Gene Frequency, Risk Factors, Republic of Korea, Genetics, medicine, Humans, SNP, Genetic Predisposition to Disease, Genetic Testing, Lymphocytes, education, Molecular Biology, Alleles, education.field_of_study, Receiver operating characteristic, Area under the curve, Genetic Variation, Middle Aged, medicine.disease, Human genetics, 030104 developmental biology, Diabetes Mellitus, Type 2, ROC Curve, Area Under Curve, Case-Control Studies, Female, Biomarkers, Genome-Wide Association Study, 010606 plant biology & botany
الوصف: Type 2 diabetes (T2D) is known as an inflammatory disease. NRF2 (Nuclear Factor Erythroid 2 Like2) encodes a transcription factor that binds to antioxidant response elements (AREs) and regulates the expression of genes involved in many antioxidant responses. This study aimed to gain insight into individual anti-inflammatory activity to prevent T2D development in humans. We performed a genome-wide association study (GWAS) to identify genetic variants influencing NRF2 expression in LCLs (lymphoblastoid cell lines) generated from 74 different individuals. Association analyses between T2D or its related traits and genetic risk score (GRS) calculated by combining genetic variants detected from GWAS for cellular NRF2 expression were performed using data from 8715 subjects. The T2D prediction model using GRS was evaluated by measuring the area under the curve (AUC) of the receiver operating characteristics (ROC) curve. Our GWAS identified six genetic variants (SNP) showing suggestive evidence of associations with cellular NRF2 expression (P
تدمد: 2092-9293
1976-9571
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::278fa85109e3975fe210dbf24b374498
https://doi.org/10.1007/s13258-019-00791-0
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....278fa85109e3975fe210dbf24b374498
قاعدة البيانات: OpenAIRE
الوصف
تدمد:20929293
19769571