Multilocus Genetic Risk Score for Hypertension Associates with Systolic Blood Pressure in People with Type 2 Diabetes Patients: Discovery and Replication Cohorts

2018 ◽  
Author(s):  
Chi-Fung Cheng ◽  
Ai-Ru Hsieh ◽  
Wen-Miin Liang ◽  
Ching-Chu Chen ◽  
Jer-Yuarn Wu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Systolic Blood Pressure ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Diabetes Patients

Genome-wide and candidate gene association analyses identify a 14-SNPs combination for hypertension in patients with type 2 diabetes

2020 ◽  
Author(s):  
Chi-Fung Cheng ◽  
Ai-Ru Hsieh ◽  
Wen-Miin Liang ◽  
Ching-Chu Chen ◽  
Chien-Hsiun Chen ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Systolic Blood Pressure ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
P Value ◽  
Weighted Genetic Risk Score

Abstract Background High blood pressure is common and comorbid with type 2 diabetes (T2D). Almost 50% of patients with T2D have high blood pressure. Patients with both conditions of hypertension and T2D are at risk for cardiovascular diseases and mortality. The study aim was to investigate genetic risk factors for hypertension in T2D patients. Methods This study included 999 T2D (cohort 1) patients for the first genome scan stage and 922 T2D (cohort 2) patients for the replication stage. Here, we investigated the genetic susceptibility and cumulative weighted genetic risk score for hypertension in T2D patients of Han Chinese descent in Taiwan. Results Thirty novel genetic single nucleotide polymorphisms (SNPs) were associated with hypertension in T2D after adjusting for age and body mass index (p-value < 1 x10 -4). Eight blood pressure-related and/or hypertension-related genetic SNPs were associated with hypertension in T2D after adjusting for age and body mass index (p-value < 0.05). Linkage disequilibrium (LD) and cumulative weighted genetic risk score analyzes showed that 14 of the 38 SNPs were associated with risk of hypertension in a dose-dependent manner in T2D (Cochran-Armitage trend test: p-value < 0.0001). The 14-SNPs cumulative weighted genetic risk score was also associated with increased regression tendency of systolic blood pressure in T2D (SBP = 122.05 + 0.8 x weighted GRS; p-value = 0.0001). Conclusions A cumulative weighted genetic risk score composed of 14 SNPs is important for hypertension, increased tendency of systolic blood pressure, and may contribute to hypertension risk in T2D in Taiwan.

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

Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score

Diabetologia ◽  
2013 ◽  
Vol 56 (12) ◽  
pp. 2556-2563 ◽  
Author(s):  
Soo Heon Kwak ◽  
Sung Hee Choi ◽  
Kyunga Kim ◽  
Hye Seung Jung ◽  
Young Min Cho ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gestational Diabetes ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
History Of

scholarly journals Association of a 62 Variants Type 2 Diabetes Genetic Risk Score With Markers of Subclinical Atherosclerosis

2015 ◽  
Vol 8 (3) ◽  
pp. 507-515 ◽  
Author(s):  
Marco Dauriz ◽  
Bianca C. Porneala ◽  
Xiuqing Guo ◽  
Lawrence F. Bielak ◽  
Patricia A. Peyser ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Genetic Risk ◽  
Subclinical Atherosclerosis ◽  
Genetic Risk Score

scholarly journals Genetic Risk Score of 46 Type 2 Diabetes Risk Variants Associates With Changes in Plasma Glucose and Estimates of Pancreatic  -Cell Function Over 5 Years of Follow-Up

Diabetes ◽  
2013 ◽  
Vol 62 (10) ◽  
pp. 3610-3617 ◽  
Author(s):  
E. A. Andersson ◽  
K. H. Allin ◽  
C. H. Sandholt ◽  
A. Borglykke ◽  
C. J. Lau ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Plasma Glucose ◽  
Genetic Risk ◽  
Cell Function ◽  
Genetic Risk Score ◽  
Pancreatic Cell ◽  
Risk Variants

scholarly journals Air pollution and diabetes association: Modification by type 2 diabetes genetic risk score

2016 ◽  
Vol 94 ◽  
pp. 263-271 ◽  
Author(s):  
Ikenna C. Eze ◽  
Medea Imboden ◽  
Ashish Kumar ◽  
Arnold von Eckardstein ◽  
Daiana Stolz ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Air Pollution ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score

scholarly journals The efficacy of family history, genetic risk score and physical activity in distinguishing type 2 diabetes prevalence

2019 ◽  
Author(s):  
Lukasz Szczerbinski ◽  
Joanna Goscik ◽  
Witold Bauer ◽  
Natalia Wawrusiewicz-Kurylonek ◽  
Magdalena Paczkowska-Abdulsalam ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Family History ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Diabetes Prevalence

scholarly journals Predictors of Glycemic Control Among Patients With Type 2 Diabetes in North West Ethiopia: a Longitudinal Study

2021 ◽  
Author(s):  
Nigusie Gashaye Shita ◽  
Ashagrie Sharew Iyasu
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Good Glycemic Control ◽  
Diabetes Patients

Abstract Background: Type 2 diabetes mellitus patients with hyperglycemia for a long period are significant causes of mortality and morbidity worldwide. Studying the predictors of glycemic control helps to minimize deaths and the development of acute and chronic diabetes complication. Hence, this study aims to assess predictors of glycemic control among patients with Type 2 diabetes in Ethiopia.Methods: A retrospective cohort study was conducted among type 2 Diabetes mellitus (T2DM) patients enrolled between December 2011 and December 2012 at Debre Markos and Felege Hiwot Referral Hospital. A total of 191 T2DM patients were included in the study meets the eligibility criteria. A generalized linear mixed model was employed. Results: The prevalence of good glycemic control among type 2 diabetes patients was 58.4% whereas 23.25% of the variation was explained in the fitted model due to adding the random effects. The significance predictors of glycemic control among patients with Type 2 diabetes at 95% confidence level were reside in rural(0.454, 0.614)), patients age 38-50, 51-59 and 60-66 years(1.267,1.776), (1.057,1.476) and (1.004, 1.403), respectively, Proteinuria Positive (1.211, 1.546), diastolic blood pressure ≥90 (1.101, 1.522), systolic blood pressure ≥140 (1.352, 1.895), creatinine (0.415, 0.660), duration per visit (0.913, 0.987), duration since diagnosis (0.985, 0.998), weight 78-88(0.603, 0.881).Conclusion: The level of glycemic control among type 2 diabetes patients was poor. Type 2 diabetes mellitus patients having higher age of the patient, higher weight, reside in rural, longer duration of T2DM since diagnosis, longer duration of type 2DM per visit, increase creatinine, positive protein urea, diastolic blood pressure≥90, and systolic blood pressure≥140 were significant predictors of poor glycemic control among type 2 DM patients. During diabetic patients follow up, clinicians should give appropriate attention to these significant variables for good glycemic control since it is the main goal of diabetes management.

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