Evidence map›Paper›PMID 29557905›Full record

ArticleJournal of hypertension2018

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

M Loretto Muñoz, Deepali Jaju, Saroja Voruganti, Sulayma Albarwani, Afshin Aslani, Riad Bayoumi, Said Al-Yahyaee, Anthony G Comuzzie, Philip J Millar, Peter Picton and 4 more

Abstract read
In one paragraph

Article in Journal of hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. [Bivariate heritability estimation of resting heart rate and common chronic disease based on extended pedigrees].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

M Loretto MuñozDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Deepali JajuCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Saroja VorugantiDepartment of Nutrition and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina.
Sulayma AlbarwaniCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Afshin AslaniDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Riad BayoumiBasic Science Division, College of Medicine, Mohammed Bin Rashid University for Medicine and Health Sciences, Dubai, United Arab Emirates.
Said Al-YahyaeeCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Anthony G ComuzzieDepartment of Genetics, Texas Biomedical Research Institute, Texas, USA.
Philip J MillarDepartment of Human Health and Nutritional Sciences, University of Guelph, Guelph.
Peter PictonDivision of Cardiology, Department of Medicine, University Health Network and Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
John S FlorasDivision of Cardiology, Department of Medicine, University Health Network and Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
Ilja NolteDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Mohammed O HassanCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Harold SniederDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Funding

SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
6 · The paper itself

Abstract

introductionIndividual differences in heart rate variability (HRV) can be partly attributed to genetic factors that may be more pronounced during stress. Using data from the Oman Family Study (OFS), we aimed to estimate and quantify the relative contribution of genes and environment to the variance of HRV at rest and during stress; calculate the overlap in genetic and environmental influences on HRV at rest and under stress using bivariate analyses of HRV parameters and heart rate (HR).

methodsTime and frequency domain HRV variables and average HR were measured from beat-to-beat HR obtained from electrocardiogram recordings at rest and during two stress tests [mental: Word Conflict Test (WCT) and physical: Cold Pressor Test (CPT)] in the OFS - a multigenerational pedigree consisting of five large Arab families with a total of 1326 participants. SOLAR software was used to perform quantitative genetic modelling.

resultsHeritability estimates for HRV and HR ranged from 0.11 to 0.31 for rest, 0.09-0.43 for WCT, and 0.07-0.36 for CPT. A large part of the genetic influences during rest and stress conditions were shared with genetic correlations ranging between 0.52 and 0.86 for rest-WCT and 0.60-0.92 for rest-CPT. Nonetheless, genetic rest-stress correlations for most traits were significantly smaller than 1 indicating some stress-specific genetic effects.

conclusionGenetic factors significantly influence HRV and HR at rest and under stress. Most of the genetic factors that influence HRV at rest also influence HRV during stress tests, although some unique genetic variance emerges during these challenging conditions.

Indexed as

AdultElectrocardiographyExercise TestFemaleHeart RateHumansMaleMiddle AgedOmanRestStress, PhysiologicalStress, PsychologicalYoung Adult

Identifiers

PMID29557905
PMCPMC5991177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.