Heritability of a resting heart rate in a 20-year follow-up family cohort with GWAS data: Insights from the STANISLAS cohort. (3rd December 2019)

• Record Type: Journal Article
• Authors: Xhaard, Constance; Dandine-Roulland, Claire; Villemereuil, Pierre de; Floch, Edith Le; Bacq-Daian, Delphine; Machu, Jean-Loup; Ferreira, Joao Pedro; Deleuze, Jean-François; Zannad, Faiez; Rossignol, Patrick; Girerd, Nicolas
• Is Part Of: European journal of preventive cardiology. Volume 28:Number 12(2021)
• Page Start: 1334
• Page End: 1341
• Publication Date: 2019-12-03
• Subjects: Heart rate -- heritability -- genetic relatedness matrix -- family study -- cardiovascular diseases; Cardiovascular system -- Diseases -- Prevention -- Periodicals; Cardiac patients -- Rehabilitation -- Periodicals; 616.12
• DOI: 10.1177/2047487319890763
• Languages: English
• ISSNs: 2047-4873

Abstract

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 (h 2 ) 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 (h 2 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.