The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Gustav Smith, MD, PhD

Gustav Smith

Associate professor

Gustav Smith, MD, PhD

Association of Lipid-Related Genetic Variants with the Incidence of Atrial Fibrillation : The AFGen Consortium

Author

  • Faye L Norby
  • Samuel Adamsson Eryd
  • Maartje N Niemeijer
  • Lynda M Rose
  • Albert V Smith
  • Xiaoyan Yin
  • Sunil K Agarwal
  • Dan E Arking
  • Daniel L Chasman
  • Lin Y Chen
  • Mark Eijgelsheim
  • Gunnar Engström
  • Oscar H Franco
  • Jan Heeringa
  • George Hindy
  • Albert Hofman
  • Pamela L Lutsey
  • Jared W Magnani
  • David D McManus
  • Marju Orho-Melander
  • James S Pankow
  • Gull Rukh
  • Christina-Alexandra Schulz
  • André G Uitterlinden
  • Christine M Albert
  • Emelia J Benjamin
  • Vilmundur Gudnason
  • Gustav Smith
  • Bruno H C Stricker
  • Alvaro Alonso
Show all

Summary, in English

BACKGROUND: Several studies have shown associations between blood lipid levels and the risk of atrial fibrillation (AF). To test the potential effect of blood lipids with AF risk, we assessed whether previously developed lipid gene scores, used as instrumental variables, are associated with the incidence of AF in 7 large cohorts.

METHODS: We analyzed 64,901 individuals of European ancestry without previous AF at baseline and with lipid gene scores. Lipid-specific gene scores, based on loci significantly associated with lipid levels, were calculated. Additionally, non-pleiotropic gene scores for high-density lipoprotein cholesterol (HDLc) and low-density lipoprotein cholesterol (LDLc) were calculated using SNPs that were only associated with the specific lipid fraction. Cox models were used to estimate the hazard ratio (HR) and 95% confidence intervals (CI) of AF per 1-standard deviation (SD) increase of each lipid gene score.

RESULTS: During a mean follow-up of 12.0 years, 5434 (8.4%) incident AF cases were identified. After meta-analysis, the HDLc, LDLc, total cholesterol, and triglyceride gene scores were not associated with incidence of AF. Multivariable-adjusted HR (95% CI) were 1.01 (0.98-1.03); 0.98 (0.96-1.01); 0.98 (0.95-1.02); 0.99 (0.97-1.02), respectively. Similarly, non-pleiotropic HDLc and LDLc gene scores showed no association with incident AF: HR (95% CI) = 1.00 (0.97-1.03); 1.01 (0.99-1.04).

CONCLUSIONS: In this large cohort study of individuals of European ancestry, gene scores for lipid fractions were not associated with incident AF.

Department/s

  • Department of Clinical Sciences, Malmö
  • Cardiology
  • EXODIAB: Excellence of Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2016

Language

English

Publication/Series

PLoS ONE

Volume

11

Issue

3

Document type

Journal article

Publisher

Public Library of Science (PLoS)

Topic

  • Clinical Medicine

Status

Published

ISBN/ISSN/Other

  • ISSN: 1932-6203