Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control
المؤلفون المشاركون
Andersen, Marie-Louise M.
Mortensen, Henrik B.
Pociot, Flemming
Brorsson, Caroline
Størling, Joachim
Nielsen, Lotte B.
Kaur, Simranjeet
Bergholdt, Regine
Hvidoere Study Group on Childhood Diabetes, Joachim
Hansen, Lars
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-01-20
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Genome-wide association studies (GWAS) have identified over 40 type 1 diabetes risk loci.
The clinical impact of these loci on β-cell function during disease progression is unknown.
We aimed at testing whether a genetic risk score could predict glycemic control and residual β-cell function in type 1 diabetes (T1D).
As gene expression may represent an intermediate phenotype between genetic variation and disease, we hypothesized that genes within T1D loci which are expressed in islets and transcriptionally regulated by proinflammatory cytokines would be the best predictors of disease progression.
Two-thirds of 46 GWAS candidate genes examined were expressed in human islets, and 11 of these significantly changed expression levels following exposure to proinflammatory cytokines (IL-1β + IFNγ + TNFα) for 48 h.
Using the GWAS single nucleotide polymorphisms (SNPs) from each locus, we constructed a genetic risk score based on the cumulative number of risk alleles carried in children with newly diagnosed T1D.
With each additional risk allele carried, HbA1c levels increased significantly within first year after diagnosis.
Network and gene ontology (GO) analyses revealed that several of the 11 candidate genes have overlapping biological functions and interact in a common network.
Our results may help predict disease progression in newly diagnosed children with T1D which can be exploited for optimizing treatment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Brorsson, Caroline& Nielsen, Lotte B.& Andersen, Marie-Louise M.& Kaur, Simranjeet& Bergholdt, Regine& Hansen, Lars…[et al.]. 2016. Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control. Journal of Diabetes Research،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108330
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Brorsson, Caroline…[et al.]. Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control. Journal of Diabetes Research No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1108330
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Brorsson, Caroline& Nielsen, Lotte B.& Andersen, Marie-Louise M.& Kaur, Simranjeet& Bergholdt, Regine& Hansen, Lars…[et al.]. Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control. Journal of Diabetes Research. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108330
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1108330
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر