Genetic factors contribute to the variance in frequency domain measures of heart rate variability

Power spectral analysis of heart rate variability (HRV) provides quantitative phenotypic markers of autonomic nervous system activity. Reported determinants of HRV only partially explain its variability in the population. The purpose of this study was to estimate the contribution of genetic factors to the variance in HRV measures and assess the heritability of HRV. Subjects who underwent Holter recordings at a routine examination were eligible, excluding subjects with congestive heart failure, coronary artery disease, diabetes mellitus and those taking cardioactive medications. We analyzed the low-frequency power (LF), high-frequency power (HF), LF/HF ratio, very low-frequency power (VLF) and total power (TP). Heritability analysis was done by studying correlations between siblings (n = 682, in 291 sibships, 517 pairs) and between spouse pairs (n = 206 pairs). Adjustments were made for sex, age, systolic and diastolic blood pressure, heart rate, coffee and alcohol intake. SAS procedure MIXED was used to estimate and test significance of correlation within sibling pairs and within spouse pairs. Results from separate models were combined to estimate the components of variance of each phenotype, i.e. variance attributable to measured covariates, additive genetic effects (heritability) and household effects. After adjusting for covariates, the correlations were consistently higher among siblings (0.21-0.26) compared to spouses (0.01-0.19). The measured covariates in general accounted for 13-40% of the total phenotypic variance, whereas genes accounted for 13-23% of the variation among HRV measures. Genetic factors contribute towards a substantial proportion of the variance in heart rate and HRV. Recognition of the genetic determinants of HRV may provide additional insight into the pathophysiology of the autonomic nervous system and offer clues toward its modulation.