scholarly journals Genetic Risk Score in Diabetes Associated With Chronic Pancreatitis Versus Type 2 Diabetes Mellitus

2019 ◽  
Vol 10 (7) ◽  
pp. e00057 ◽  
Author(s):  
Mark O. Goodarzi ◽  
Tanvi Nagpal ◽  
Phil Greer ◽  
Jinrui Cui ◽  
Yii-Der I. Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chronic Pancreatitis ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score

P6188Predicting type 2 diabetes mellitus: combining a genetic risk score with traditional risk factors

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
J Ponte Monteiro ◽  
M I Mendonca ◽  
A Pereira ◽  
A C Sousa ◽  
R Rodrigues ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Traditional Risk Factors

scholarly journals SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus

Genes ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 942 ◽  
Author(s):  
Nardos Abebe Werissa ◽  
Peter Piko ◽  
Szilvia Fiatal ◽  
Zsigmond Kosa ◽  
Janos Sandor ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
General Population ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Risk Scores ◽  
Unhealthy Lifestyle ◽  
Roma Population

Background: In a previous survey, an elevated fasting glucose level (FG) and/or known type 2 diabetes mellitus (T2DM) were significantly more frequent in the Roma population than in the Hungarian general population. We assessed whether the distribution of 16 single nucleotide polymorphisms (SNPs) with unequivocal effects on the development of T2DM contributes to this higher prevalence. Methods: Genetic risk scores, unweighted (GRS) and weighted (wGRS), were computed and compared between the study populations. Associations between GRSs and FG levels and T2DM status were investigated in separate and combined study populations. Results: The Hungarian general population carried a greater genetic risk for the development of T2DM (GRSGeneral = 15.38 ± 2.70 vs. GRSRoma = 14.80 ± 2.68, p < 0.001; wGRSGeneral = 1.41 ± 0.32 vs. wGRSRoma = 1.36 ± 0.31, p < 0.001). In the combined population models, GRSs and wGRSs showed significant associations with elevated FG (p < 0.001) and T2DM (p < 0.001) after adjusting for ethnicity, age, sex, body mass index (BMI), high-density Lipoprotein Cholesterol (HDL-C), and triglyceride (TG). In these models, the effect of ethnicity was relatively strong on both outcomes (FG levels: βethnicity = 0.918, p < 0.001; T2DM status: ORethnicity = 2.484, p < 0.001). Conclusions: The higher prevalence of elevated FG and/or T2DM among Roma does not seem to be directly linked to their increased genetic load but rather to their environmental/cultural attributes. Interventions targeting T2DM prevention among Roma should focus on harmful environmental exposures related to their unhealthy lifestyle.

Prostate cancer genetic propensity risk score may modify the association between this tumour and type 2 diabetes mellitus (MCC-Spain study)

2021 ◽  
Author(s):  
Rocío Barrios-Rodríguez ◽  
Esther García-Esquinas ◽  
Beatriz Pérez-Gómez ◽  
Gemma Castaño-Vinyals ◽  
Javier Llorca ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Cancer Genetic

EVALUATION OF PARAMETERS OF ACTUAL TYPICAL PATHOGENETIC SYNDROMES IN COMORBIDITY OF TYPE 2 DIABETES MELLITUS AND CHRONIC PANCREATITIS

2021 ◽  
Vol 74 (10) ◽  
pp. 2557-2559
Author(s):  
Olena V. Redkva ◽  
Liliya S. Babinets ◽  
Iryna M. Halabitska
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chronic Pancreatitis ◽  
Antioxidant Protection ◽  
Enzymatic Antioxidant ◽  
Evaluation Of Parameters ◽  
Remission Phase ◽  
The Impact

The aim: To assess the state of typical pathogenetic syndromes (inflammation, endotoxicosis, liperoxidation, enzymatic and non-enzymatic antioxidant deficiency) in the comorbidity of type 2 diabetes mellitus (DM2) and chronic pancreatitis (CP). Materials and methods: We examined 137 patients (112 patients with comorbidity of CP and DM2 and 25 patients with isolated CP. Typical pathogenetic syndromes (inflammation, endotoxicosis, liperoxidation, enzymatic and non-enzymatic antioxidant deficiency) were determined. Results: It was proved that patients with CP even in the remission phase of the active course of EI and LPO, which was significantly more significant in comorbidity with DM2. Statistically significant more significant changes in the parameters of antioxidant protection in the comorbidity of CP and DM2 in relation to those in isolated CP. Conclusions: Treatment of CP and DM2 is a difficult task and should take into account the impact on the studied common typical pathogenetic syndromes – inflammation, endotoxicosis, lipid peroxidation, and enzyme and non-enzymatic antioxidant protection – to address short-term and prevent long-term complications.

Genetic Risk Score for Type 2 Diabetes and Traits Related to Glucose-Insulin Homeostasis in Youth: The Exploring Perinatal Outcomes Among Children (EPOCH) Study

Diabetes Care ◽  
2021 ◽  
pp. dc210464
Author(s):  
Maggie A. Stanislawski ◽  
Elizabeth Litkowski ◽  
Sridharan Raghavan ◽  
Kylie K. Harrall ◽  
Jessica Shaw ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Perinatal Outcomes ◽  
Insulin Homeostasis

scholarly journals IDENTIFICATION AND ASSESSMENT OF PREDIABETES-A RURAL INDIAN STUDY (A CORRELATIVE STUDY BETWEEN QUESTIONNAIRE AND BIOCHEMICAL ANALYSIS)

2020 ◽  
pp. 36-40
Author(s):  
VENKATESAN S. ◽  
SUSILA S. ◽  
SUTHANTHIRAN S. ◽  
MADHUSUDHAN S. ◽  
PAARI N.
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Predictive Value ◽  
Screening Tool ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Family History Of Diabetes

Objective: To identify and prevent the vulnerable prediabetic population becoming diabetic patients in the future using the Indian Diabetic Risk Score (IDRS) and to evaluate the performance of the IDRS questionnaire for detecting prediabetes and predicting the risk of Type 2 Diabetes Mellitus in Chidambaram rural Indian population. Methods: A cross-sectional descriptive study was carried out among patients attending a master health check-up of RMMCH hospital located at Chidambaram. The IDRS was calculated by using four simple measures of age, family history of diabetes, physical activity, and waist measurement. The relevant blood test, like Fasting plasma glucose (FBS), Glycated hemoglobin (HbA1C) test, were observed for identifying prediabetes. Subjects were classified as Normoglycemic, prediabetics, and diabetics based on the questionnaire and diagnostic criteria of the Indian Council of Medical Research (ICMR) guidelines. Results: In the study, sensitivity and specificity of IDRS score were found to be 84.21% and 63.4% respectively for detecting prediabetes in community with the positive predictive value of 51.6% and negative predictive value of 89.6% and prevalence of prediabetes in the Chidambaram rural population is 31.6% among the 60 participants. Conclusion: The Indian diabetic risk score questionnaire designed by Ma­dras diabetic research federation is a useful screening tool to identify unknown type 2 diabetes mellitus. The question­naire is a reliable, valuable, and easy to use screening tool which can be used in a primary care setup. 

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