scholarly journals Heritability and genetic correlations of heart rate variability at rest and during stress in the Oman Family Study

2018 ◽  
Vol 36 (7) ◽  
pp. 1477-1485 ◽  
Author(s):  
M. Loretto Muñoz ◽  
Deepali Jaju ◽  
Saroja Voruganti ◽  
Sulayma Albarwani ◽  
Afshin Aslani ◽  
...  
2021 ◽  
Author(s):  
Rada R Veeneman ◽  
Jentien M Vermeulen ◽  
Abdel Abdellaoui ◽  
Eleanor Sanderson ◽  
Robyn E Wootton ◽  
...  

Importance: Individuals with schizophrenia have a reduced life-expectancy compared to the general population, largely due to an increased risk of cardiovascular disease (CVD). Clinical and epidemiological studies have been unable to fully unravel the nature of this relationship. Objective: Investigate genetic correlations and potential bi-directional effects between liability to schizophrenia and CVD. Design, setting, and participants: We obtained summary-data of genome-wide-association studies of schizophrenia (N=130,644), heart failure (N=977,323), coronary artery disease (N=332,477), systolic and diastolic blood pressure (N=757,601), heart rate variability (N=46,952), QT interval (N=103,331), early repolarization and dilated cardiomyopathy ECG patterns (N=63,700). We computed genetic correlations with linkage disequilibrium score regression and conducted bi-directional Mendelian randomization (MR). With multivariable MR, we investigated whether associations were mediated by smoking, body mass index, physical activity, lipid levels, or type 2 diabetes. To ensure robustness, we applied a range of sensitivity methods. Main outcomes and measures: Schizophrenia, heart failure, coronary artery disease, systolic blood pressure, diastolic blood pressure, heart rate variability, QT interval, early repolarization, dilated cardiomyopathy. Results: Genetic correlations between liability to schizophrenia and CVD were close to zero (-0.02 to 0.04). With MR, we found robust evidence that liability to schizophrenia increases heart failure risk. This effect remained consistent with multivariable MR. There was also evidence that liability to schizophrenia increases early repolarization risk, largely mediated by BMI and lipid levels. Finally, there was evidence that liability to schizophrenia increases heart rate variability, a direction of effect contrasting previous studies. In the other direction, there was weak evidence that higher systolic, but not diastolic, blood pressure increases schizophrenia risk. Conclusions and relevance: Our findings indicate that liability to schizophrenia increases the risk of heart failure, and that this is not mediated by key health behaviours. This is consistent with the notion that schizophrenia is characterised by a systemic dysregulation of the body (including inflammation and oxidative stress) with detrimental effects on the heart. To decrease cardiovascular mortality among schizophrenia patients, priority should lie with optimal treatment and interventions in early stages of psychoses. We also identified early repolarization, currently understudied, as a potential CVD marker among patients with schizophrenia.


2018 ◽  
Vol 237 ◽  
pp. 47-55 ◽  
Author(s):  
A. Harrewijn ◽  
M.J.W. Van der Molen ◽  
B. Verkuil ◽  
S.W. Sweijen ◽  
J.J. Houwing-Duistermaat ◽  
...  

1999 ◽  
Vol 105 (6) ◽  
pp. 654-661 ◽  
Author(s):  
R. Sinnreich ◽  
Y. Friedlander ◽  
M.H. Luria ◽  
D. Sapoznikov ◽  
J.D. Kark

2000 ◽  
Vol 107 (1) ◽  
pp. 96-96
Author(s):  
Ronit Sinnreich ◽  
Yechiel Friedlander ◽  
Myron H. Luria ◽  
Dan Sapoznikov ◽  
Jeremy Kark

1998 ◽  
Vol 30 (Supplement) ◽  
pp. 216
Author(s):  
B. Kaeferlein ◽  
R. C. Serfass ◽  
A. J. Walker ◽  
D. C. Rao ◽  
J. S. Skinner ◽  
...  

Hypertension ◽  
2020 ◽  
Vol 76 (4) ◽  
pp. 1256-1262
Author(s):  
Balewgizie S. Tegegne ◽  
Tengfei Man ◽  
Arie M. van Roon ◽  
Nigus G. Asefa ◽  
Harriëtte Riese ◽  
...  

Dysregulation of the cardiac autonomic nervous system, as indexed by reduced heart rate variability (HRV), has been associated with the development of high blood pressure (BP). However, the underlying pathological mechanisms are not yet fully understood. This study aimed to estimate heritability of HRV and BP and to determine their genetic overlap. We used baseline data of the 3-generation Lifelines population-based cohort study (n=149 067; mean age, 44.5). In-house software was used to calculate root mean square of successive differences and SD of normal-to-normal intervals as indices of HRV based on 10-second resting ECGs. BP was recorded with an automatic BP monitor. We estimated heritabilities and genetic correlations with variance components methods in ASReml software. We additionally estimated genetic correlations with bivariate linkage disequilibrium score regression using publicly available genome-wide association study data. The heritability (SE) estimates were 15.6% (0.90%) for SD of normal-to-normal intervals and 17.9% (0.90%) for root mean square of successive differences. For BP measures, they ranged from 24.4% (0.90%) for pulse pressure to 30.3% (0.90%) for diastolic BP. Significant negative genetic correlations (all P <0.0001) of root mean square of successive differences/SD of normal-to-normal intervals with systolic BP (−0.20/−0.16) and with diastolic BP (−0.15/−0.13) were observed. LD score regression showed largely consistent genetic correlation estimates of root mean square of successive differences/SD of normal-to-normal intervals with systolic BP (range, −0.08 to −0.23) and diastolic BP (range, −0.20 to −0.27). Our study shows a substantial contribution of genetic factors in explaining the variance of HRV and BP measures in the general population. The significant negative genetic correlations between HRV and BP indicate that genetic pathways for HRV and BP partially overlap.


1999 ◽  
Vol 105 (6) ◽  
pp. 654-661 ◽  
Author(s):  
R. Sinnreich ◽  
Y. Friedlander ◽  
M.H. Luria ◽  
D. Sapoznikov ◽  
J.D. Kark

2010 ◽  
Vol 13 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Shaoyong Su ◽  
Rachel Lampert ◽  
Forrester Lee ◽  
J. Douglas Bremner ◽  
Harold Snieder ◽  
...  

AbstractDepression and reduced heart rate variability (HRV) are predictors of coronary artery disease (CAD), and highly correlated with each other. However, little is known to what extend this correlation can be explained by common genetic components. We examined 198 middle-aged male twins (121 monozygotic and 77 dizygotic) from the Vietnam Era Twin Registry. Current depressive symptoms were assessed using the Beck Depression Inventory-II and HRV was assessed on 24-hour electrocardiographic Holter recordings. Five frequency domain variables were used, including ultra low frequency (ULF), very low frequency (VLF), low frequency (LF), high frequency (HF) and total power (TPow). Structural equation modeling was used to estimate shared genetic effects for depressive symptoms and the HRV frequency domains. Both depressive symptoms (h2=.5) and all measurements of HRV showed high heritability (h2=.43-.63). A significant inverse correlation was found between depressive symptoms and all HRV indices except LF and HF, with the highest coefficient (r) for TPow (r = −.24,P= .01) and ULF (r = −.24,P= .01). Bivariate genetic modeling revealed significant genetic correlations between depressive symptoms and TPow (rA= −.21,P= .04), as well as ULF (rA= −.23,P= .02). Of the total covariance between depressive symptoms and these two HRV indices, over 80% was due to the same genetic factors. In conclusion, depressive symptoms are associated with decreased HRV and this association is due, in large part, to a shared genetic effect. These results suggest that a common neurobiological dysfunction links depression and autonomic dysregulation.


1998 ◽  
Vol 103 (1) ◽  
pp. 34-40 ◽  
Author(s):  
R. Sinnreich ◽  
Yechiel Friedlander ◽  
Dan Sapoznikov ◽  
Jeremy D. Kark

2000 ◽  
Vol 107 (1) ◽  
pp. 96-96
Author(s):  
Ronit Sinnreich ◽  
Yechiel Friedlander ◽  
Myron Luria ◽  
Dan Sapoznikov ◽  
Jeremy Kark

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