Abstract P055: Methylation Levels at Growth Differentiation Factor- 15 Related Cpg Sites Are Not Related to Death Risk From Cardiovascular Disease Among Monozygotic Male Twins Discordant for Cardiovascular Disease: National Heart, Lung, and Blood Institute Twin Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Pallavi Mukherji ◽  
Ming Leung ◽  
Wael El- Rifai ◽  
Ruth Krasnow ◽  
Terry Reed ◽  
...  

Background: Growth differentiation factor- 15 (GDF-15) is positively associated with the risk of mortality from acute coronary syndrome and chronic heart failure. A prior study reported decreased methylation at four promising GDF-15 related CpG sites tended to be associated with myocardial infarction, however, little is known of the association of methylation levels at these sites with the risk for cardiovascular disease (CVD) death. Objective: To evaluate whether methylation levels at the four GDF-15 CpG sites (site A: cg13033585, site B: cg16936953, site C: cg17150809, and site D: cg18608055) are associated with death from CVD, independent of genes and shared environmental factors. Method: We included 19 male monozygotic twin pairs discordant for death from CVD through December 31, 2014 from the National Heart, Lung, and Blood Institute (NHLBI) Twin Study initiated in 1969-1973. Buffy coat DNA samples were collected in exam 3 (1986-87). The vital status was followed up through December 31, 2014. Genome wide DNA methylation levels were quantified using the Illumina Infinium HumanMethylation450 (450K) BeadChip. Conditional logistic models were used to estimate hazard ratio (HR). Known baseline CVD risk factors were adjusted. Results: The twins’ mean baseline age was 50.4 years with standard deviation of 2.4. The crude HR was 0.01 (95% CI: 0.00, 2854.46), 2038.89 (95%CI: 0.01, 3.84 X 10 8 ), 0.12 (95% CI: 0.00, 55.99), and 2.08 (95% CI: 0.00, 1.26 X 10 6 ) for sites A, B, C, and D, respectively, suggesting that our sample size was small to test these sites. After adjustment for body mass index, years of education, and Framingham risk scores, HR was 0.03 (95% CI: 0.00, 45281.06) for site A, 700.96 (95% CI: 0.00, 2.32 X10 8 ) for site B, 0.00 (95% CI: 0.00, 7.35) for site C, and 0.81 (95% CI: 0.00, 1.44 X 10 6 ) for site D. Further adjustment for white blood cell subtypes dramatically changed HRs and/or largely widened 95% CIs, suggesting potential overadjustment bias: 0.01 (95% CI:0.00, 1.89 X 10 10 ) for site A, 2.78 X 10 8 (95% CI: 0.00, 7.84 X 10 21 ) for site B, 0.00 (95% CI: 0.00, 620.94) for site C, and 1.69 (95% CI: 0.00, 4.18 X 10 13 ) for site D. Conclusion: DNA methylation levels at the GDF-15 CpG sites are not associated with death risk from cardiovascular disease independent of genes and shared environment.

1990 ◽  
Vol 47 (3) ◽  
pp. 259-262 ◽  
Author(s):  
G. E. Swan ◽  
D. Carmelli ◽  
T. Reed ◽  
G. A. Harshfield ◽  
R. R. Fabsitz ◽  
...  

2003 ◽  
Vol 65 (3) ◽  
pp. 490-497 ◽  
Author(s):  
Jeanne M. McCaffery ◽  
Raymond Niaura ◽  
John F. Todaro ◽  
Gary E. Swan ◽  
Dorit Carmelli

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 109
Author(s):  
Yecheng Yao ◽  
Sheng-Bo Chen ◽  
Gangqiang Ding ◽  
Jun Dai

The nutrient intake dataset is crucial in epidemiological studies. The latest version of the food composition database includes more types of nutrients than previous ones and can be used to obtain data on nutrient intake that could not be estimated before. Usual food consumption data were collected among 910 twins between 1969 and 1973 through dietary history interviews, and then used to calculate intake of eight types of nutrients (energy intake, carbohydrate, protein, cholesterol, total fat, and saturated, monounsaturated, and polyunsaturated fatty acids) in the National Heart, Lung, and Blood Institute Twin Study. We recalculated intakes using the food composition database updated in 2008. Several different statistical methods were used to evaluate the validity and the reliability of the recalculated intake data. Intra-class correlation coefficients between recalculated and original intake values were above 0.99 for all nutrients. R2 values for regression models were above 0.90 for all nutrients except polyunsaturated fatty acids (R2 = 0.63). In Bland–Altman plots, the percentage of scattering points that outlay the mean plus or minus two standard deviations lines was less than 5% for all nutrients. The arithmetic mean percentage of quintile agreement was 78.5% and that of the extreme quintile disagreement was 0.1% for all nutrients between the two datasets. Recalculated nutrient intake data is in strong agreement with the original one, supporting the reliability of the recalculated data. It is also implied that recalculation is a cost-efficient approach to obtain the intake of nutrients unavailable at baseline.


2014 ◽  
Vol 30 (3) ◽  
pp. 183-187 ◽  
Author(s):  
Jeffrey L. Winters ◽  
Leslie T. Cooper ◽  
Nora R. Ratcliffe ◽  
Yanyun Wu ◽  
Patrick M. Moriarty

2020 ◽  
Vol 9 (19) ◽  
Author(s):  
Holly C. Gooding ◽  
Samuel S. Gidding ◽  
Andrew E. Moran ◽  
Nicole Redmond ◽  
Norrina B. Allen ◽  
...  

Abstract Improvements in cardiovascular disease (CVD) rates among young adults in the past 2 decades have been offset by increasing racial/ethnic and gender disparities, persistence of unhealthy lifestyle habits, overweight and obesity, and other CVD risk factors. To enhance the promotion of cardiovascular health among young adults 18 to 39 years old, the medical and broader public health community must understand the biological, interpersonal, and behavioral features of this life stage. Therefore, the National Heart, Lung, and Blood Institute, with support from the Office of Behavioral and Social Science Research, convened a 2‐day workshop in Bethesda, Maryland, in September 2017 to identify research challenges and opportunities related to the cardiovascular health of young adults. The current generation of young adults live in an environment undergoing substantial economic, social, and technological transformations, differentiating them from prior research cohorts of young adults. Although the accumulation of clinical and behavioral risk factors for CVD begins early in life, and research suggests early risk is an important determinant of future events, few trials have studied prevention and treatment of CVD in participants <40 years old. Building an evidence base for CVD prevention in this population will require the engagement of young adults, who are often disconnected from the healthcare system and may not prioritize long‐term health. These changes demand a repositioning of existing evidence‐based treatments to accommodate new sociotechnical contexts. In this article, the authors review the recent literature and current research opportunities to advance the cardiovascular health of today's young adults.


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