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Identifying genetic variants for heart rate variability in the acetylcholine pathway

  • Harriëtte Riese
  • , Loretto M. Muñoz
  • , Catharina A. Hartman
  • , Xiuhua Ding
  • , Shaoyong Su
  • , Albertine J. Oldehinkel
  • , Arie M. Van Roon
  • , Peter J. Van Der Most
  • , Joop Lefrt
  • , Ron T. Gansevoort
  • , Pim Van Der Harst
  • , Niek Verweij
  • , Carmilla M.M. Licht
  • , Dorret I. Boomsma
  • , Jouke Jan Hottenga
  • , Gonneke Willemsen
  • , Brenda W.J.H. Penninx
  • , Ilja M. Nolte
  • , Eco J.C. De Geus
  • , Xiaoling Wang
  • Harold Snieder

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Heart rate variability is an important risk factor for cardiovascular disease and all-causemortality. The acetylcholine pathway plays a key role in explaining heart rate variability in humans. We assessed whether 443 genotyped and imputed common genetic variants in eight key genes (CHAT, SLC18A3, SLC5A7, CHRNB4, CHRNA3, CHRNA, CHRM2 and ACHE) of the acetylcholine pathway were associated with variation in an establishedmeasure of heart rate variability reflecting parasympathetic control of the heart rhythm, the root mean square of successive differences (RMSSD) of normal RR intervals. The association was studied in a two stage design in individuals of European descent. First, analyses were performed in a discovery sample of four cohorts (n = 3429, discovery stage). Second, findings were replicated in three independent cohorts (n = 3311, replication stage), and finally the two stages were combined in a meta-analysis (n = 6740). RMSSD data were obtained under resting conditions. After correction for multiple testing, none of the SNPs showed an association with RMSSD. In conclusion, no common genetic variants for heart rate variability were identified in the largest andmost comprehensive candidate gene study on the acetylcholine pathway to date. Future gene finding efforts for RMSSD may want to focus on hypothesis free approaches such as the genome-wide association study.

Original languageEnglish
Article numbere112476
JournalPLoS ONE
Volume9
Issue number11
DOIs
StatePublished - 10 Nov 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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