Evidence map›Paper›PMID 37803156›Full record

ArticleCommunications biology2023

Phenotypic but not genetically predicted heart rate variability associated with all-cause mortality.

Balewgizie S Tegegne, M Abdullah Said, Alireza Ani, Arie M van Roon, Sonia Shah, Eco J C de Geus, Pim van der Harst, Harriëtte Riese, Ilja M Nolte, Harold Snieder

Abstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Balewgizie S Tegegne *Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
M Abdullah Said *Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0003-2920-7745
Alireza AniDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0002-7868-3118
Arie M van RoonDepartment of Vascular Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Sonia ShahInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0001-5860-4526
Eco J C de GeusDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-6022-2666
Pim van der HarstDepartment of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands.
Harriëtte RieseDepartment of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Ilja M NolteDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0001-5047-4077
Harold SniederDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. h.snieder@umcg.nl.ORCID http://orcid.org/0000-0003-1949-2298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low heart rate variability (HRV) has been widely reported as a predictor for increased mortality. However, the molecular mechanisms are poorly understood. Therefore, this study aimed to identify novel genetic loci associated with HRV and assess the association of phenotypic HRV and genetically predicted HRV with mortality. In a GWAS of 46,075 European ancestry individuals from UK biobank, we identified 17 independent genome-wide significant genetic variants in 16 loci associated with HRV traits. Notably, eight of these loci (RNF220, GNB4, LINCR-002, KLHL3/HNRNPA0, CHRM2, KCNJ5, MED13L, and C160rf72) have not been reported previously. In a prospective phenotypic relationship between HRV and mortality during a median follow-up of seven years, individuals with lower HRV had higher risk of dying from any cause. Genetically predicted HRV, as determined by the genetic risk scores, was not associated with mortality. To the best of our knowledge, the findings provide novel biological insights into the mechanisms underlying HRV. These results also underline the role of the cardiac autonomic nervous system, as indexed by HRV, in predicting mortality.

Indexed as

G Protein-Coupled Inwardly-Rectifying Potassium ChannelsHeartHeart RateHumansProspective StudiesRisk FactorsG Protein-Coupled Inwardly-Rectifying Potassium ChannelsKCNJ5 protein, human

Identifiers

PMID37803156
PMCPMC10558565

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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.