scholarly journals TCF7L2 single nucleotide polymorphisms, cardiovascular disease and all-cause mortality: the Atherosclerosis Risk in Communities (ARIC) study

Diabetologia ◽  
2008 ◽  
Vol 51 (6) ◽  
pp. 968-970 ◽  
Author(s):  
S. J. Bielinski ◽  
J. S. Pankow ◽  
A. R. Folsom ◽  
K. E. North ◽  
E. Boerwinkle
2015 ◽  
Vol 100 (4) ◽  
pp. 1602-1608 ◽  
Author(s):  
Reshmi Srinath ◽  
Sherita Hill Golden ◽  
Kathryn A. Carson ◽  
Adrian Dobs

Context: Epidemiologic studies suggest that endogenous testosterone (T) levels in males may be implicated in cardiovascular disease (CVD), however further clarification is needed. Objective: We assessed the cross-sectional relationship between endogenous plasma T and mean carotid intima media thickness (cIMT), and the longitudinal relationship with incident clinical CVD events, cardiac mortality, and all-cause mortality using male participants in the Atherosclerosis Risk in Communities (ARIC) study. Design: This study involved a subset of men from visit 4 of the ARIC study. Setting: The study was conducted in a community based cohort. Participants: Males who provided a morning blood sample excluding those taking androgen therapy, with prevalent coronary heart disease (CHD), stroke, or heart failure (HF) (n = 1558). Intervention: None. Main Outcome Measures: Plasma T by liquid chromatography mass spectrometry and carotid IMT using high resolution B-mode ultrasound were obtained at visit 4. Incident CHD, HF, cardiac mortality, and all-cause mortality were identified by surveillance through 2010 (median 12.8 years). Results: Lower T was significantly associated with higher body mass index, greater waist circumference, diabetes, hypertension, lower HDL, and never smoking (P = 0.01). T was not associated with mean cIMT in unadjusted or adjusted analyses. Following multivariable adjustment, there was no association of quartile (Q) of T with incident CHD [hazard ratio (HR) = 0.87 (95% CI = 0.60–1.26) for Q1; 0.97 (95% CI = 0.69–1.38) for Q2; 0.97 (95% CI = 0.69–1.36) for Q3 compared to reference of Q4] or for incident HF [HR = 0.77 (95% CI = 0.46–1.29) for Q1; 0.72 (95% CI = 0.43–1.21) for Q2; 0.87 (95% CI = 0.53–1.42) for Q3 compared to reference of Q4]. Similarly there was no association of Q of T with mortality or cardiac-associated mortality. Conclusions: Low male plasma T is cross-sectionally associated with key CVD risk factors, but after adjustment there was no association with mean cIMT, incident cardiac events, or mortality. Our results are reassuring that neither high nor low T levels directly predict atherosclerosis, but are a marker for other cardiovascular risk factors.


2020 ◽  
Vol 5 (6) ◽  
pp. 1296-1306
Author(s):  
Bethany Warren ◽  
Alexandra K Lee ◽  
Christie M Ballantyne ◽  
Ron C Hoogeveen ◽  
James S Pankow ◽  
...  

Abstract Background 1,5-Anhydroglucitol (1,5-AG) is a novel biomarker of glycemic control proposed to monitor recent hyperglycemic excursions in persons with diabetes. The clinical utility of 1,5-AG outside of diagnosed diabetes is unclear, but it may identify people at high risk for diabetes and its complications. We compared associations of 1,5-AG with 2-h glucose for risk of major clinical complications. Research Design and Methods We prospectively followed 6644 Atherosclerosis Risk in Communities (ARIC) Study participants without diagnosed diabetes for incident diagnosed diabetes, chronic kidney disease, cardiovascular disease, and all-cause mortality for ∼20 years. We assessed associations of 1,5-AG and 2-h glucose (modeled categorically and continuously with restricted cubic splines) with adverse outcomes using Cox models and evaluated improvement in risk discrimination using Harrell’s c-statistic. Results 1,5-AG <10 µg/mL was statistically significantly associated with incident diabetes (HR: 2.70, 95% CI 2.31, 3.15), and showed suggestion of association with the other outcomes compared to 1,5-AG ≥10 µg/mL. Continuous associations of 1,5-AG with outcomes displayed a clear threshold effect, with risk associations generally observed only <10 µg/mL. Comparing associations of 1,5-AG and 2-h glucose with outcomes resulted in larger c-statistics for 2-h glucose than 1,5-AG for all outcomes (difference in c-statistic [2-h glucose -1,5-AG] for diagnosed diabetes: 0.17 [95%CI, 0.15, 0.19]; chronic kidney disease 0.02 [95%CI 0.00, 0.05]; cardiovascular disease 0.03 [95%CI, 0.00, 0.06]; and all-cause mortality 0.04 [95%CI, 0.02, 0.06]). Conclusions In this community-based population without diagnosed diabetes, low 1,5-AG was modestly associated with major clinical outcomes and did not outperform 2-h glucose.


2021 ◽  
Vol 8 (5) ◽  
pp. 53
Author(s):  
Ivana Škrlec ◽  
Jasminka Talapko ◽  
Martina Juzbašić ◽  
Robert Steiner

The growing body of evidence shows a significant difference in the circadian rhythm of cardiovascular disease based on biological sex. The incidence of cardiovascular disease varies between women and men. Additionally, biological sex is vital for the timely application of therapy—chronotherapy, which benefits both sexes. This study aimed to examine the potential difference of single nucleotide polymorphisms (SNPs) of the circadian rhythm genes ARNTL, CLOCK, CRY2 and PER2 in women and men with myocardial infarction. A cross-sectional study was conducted, including 200 patients with myocardial infarction. Altogether, ten single nucleotide polymorphisms in the ARNTL, CLOCK, CRY2 and PER2 genes were analyzed. The Chi-square test yielded statistically significant differences in CLOCK gene rs11932595 polymorphism in a recessive genotype model between women and men with a p-value of 0.03 and an odds ratio 2.66, and a corresponding 95% confidence interval of 1.07 to 6.66. Other analyzed polymorphisms of the circadian rhythm genes ARNTL, CRY2, and PER2 did not significantly differ between the sexes. According to the study’s current results, the CLOCK gene’s genetic variability might affect myocardial infarction concerning biological sex.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brittany M Bogle ◽  
Wayne D Rosamond ◽  
Aaron R Folsom ◽  
Paul Sorlie ◽  
Elsayed Z Soliman ◽  
...  

Background: Accurate community surveillance of cardiovascular disease requires hospital record abstraction, which is typically a manual process. The costly and time-intensive nature of manual abstraction precludes its use on a regional or national scale in the US. Whether an efficient system can accurately reproduce traditional community surveillance methods by processing electronic health records (EHRs) has not been established. Objective: We sought to develop and test an EHR-based system to reproduce abstraction and classification procedures for acute myocardial infarction (MI) as defined by the Atherosclerosis Risk in Communities (ARIC) Study. Methods: Records from hospitalizations in 2014 within ARIC community surveillance areas were sampled using a broad set of ICD discharge codes likely to harbor MI. These records were manually abstracted by ARIC study personnel and used to classify MI according to ARIC protocols. We requested EHRs in a unified data structure for the same hospitalizations at 6 hospitals and built programs to convert free text and structured data into the ARIC criteria elements necessary for MI classification. Per ARIC protocol, MI was classified based on cardiac biomarkers, cardiac pain, and Minnesota-coded electrocardiogram abnormalities. We compared MI classified from manually abstracted data to (1) EHR-based classification and (2) final ICD-9 coded discharge diagnoses (410-414). Results: These preliminary results are based on hospitalizations from 1 hospital. Of 684 hospitalizations, 355 qualified for full manual abstraction; 83 (23%) of these were classified as definite MI and 78 (22%) as probable MI. Our EHR-based abstraction is sensitive (>75%) and highly specific (>83%) in classifying ARIC-defined definite MI and definite or probable MI (Table). Conclusions: Our results support the potential of a process to extract comprehensive sets of data elements from EHR from different hospitals, with completeness and accuracy sufficient for a standardized definition of hospitalized MI.


2020 ◽  
Vol 80 (1) ◽  
pp. 79-91
Author(s):  
Logan T. Cowan ◽  
Kamakshi Lakshminarayan ◽  
Pamela L. Lutsey ◽  
James Beck ◽  
Steven Offenbacher ◽  
...  

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