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Xhaard C, Dandine-Roulland C, Villemereuil PD, Floch EL, Bacq-Daian D, Machu JL, Ferreira JP, Deleuze JF, Zannad F, Rossignol P, Girerd N. Heritability of a resting heart rate in a 20-year follow-up family cohort with GWAS data: Insights from the STANISLAS cohort. Eur J Prev Cardiol 2021; 28:1334-1341. [PMID: 34647585 DOI: 10.1177/2047487319890763] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 11/05/2019] [Indexed: 11/17/2022]
Abstract
BACKGROUND The association between resting heart rate (HR) and cardiovascular outcomes, especially heart failure, is now well established. However, whether HR is mainly an integrated marker of risk associated with other features, or rather a genetic origin risk marker, is still a matter for debate. Previous studies reported a heritability ranging from 14% to 65%. DESIGN We assessed HR heritability in the STANISLAS family-study, based on the data of four visits performed over a 20-year period, and adjusted for most known confounding effects. METHODS These analyses were conducted using a linear mixed model, adjusted on age, sex, tea or coffee consumption, beta-blocker use, physical activity, tobacco use, and alcohol consumption to estimate the variance captured by additive genetic effects, via average information restricted maximum likelihood analysis, with both self-reported pedigree and genetic relatedness matrix (GRM) calculated from genome-wide association study data. RESULTS Based on the data of all visits, the HR heritability (h2) estimate was 23.2% with GRM and 24.5% with pedigree. However, we found a large heterogeneity of HR heritability estimations when restricting the analysis to each of the four visits (h2 from 19% to 39% using pedigree, and from 14% to 32% using GRM). Moreover, only a little part of variance was explained by the common household effect (<5%), and half of the variance remained unexplained. CONCLUSION Using a comprehensive analysis based on a family cohort, including the data of multiple visits and GRM, we found that HR variability is about 25% from genetic origin, 25% from repeated measures and 50% remains unexplained.
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Affiliation(s)
- Constance Xhaard
- INSERM Centre d'Investigation Clinique CIC-P 1433, CHRU Nancy, INSERM U1116, FCRIN INI-CRCT, Lorraine Université, Nancy, France
| | - Claire Dandine-Roulland
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Pierre de Villemereuil
- CEFE, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, EPHE, IRD, Montpellier, France
| | - Edith Le Floch
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Delphine Bacq-Daian
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Jean-Loup Machu
- INSERM Centre d'Investigation Clinique CIC-P 1433, CHRU Nancy, INSERM U1116, FCRIN INI-CRCT, Lorraine Université, Nancy, France
| | - Joao Pedro Ferreira
- INSERM Centre d'Investigation Clinique CIC-P 1433, CHRU Nancy, INSERM U1116, FCRIN INI-CRCT, Lorraine Université, Nancy, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Faiez Zannad
- INSERM Centre d'Investigation Clinique CIC-P 1433, CHRU Nancy, INSERM U1116, FCRIN INI-CRCT, Lorraine Université, Nancy, France
| | - Patrick Rossignol
- INSERM Centre d'Investigation Clinique CIC-P 1433, CHRU Nancy, INSERM U1116, FCRIN INI-CRCT, Lorraine Université, Nancy, France
| | - Nicolas Girerd
- INSERM Centre d'Investigation Clinique CIC-P 1433, CHRU Nancy, INSERM U1116, FCRIN INI-CRCT, Lorraine Université, Nancy, France
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