Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2016 Nov 8:6:35371.
doi: 10.1038/srep35371.

Gene-gene Interaction Analyses for Atrial Fibrillation

Honghuang Lin  1   2 Martina Mueller-Nurasyid  3   4   5 Albert V Smith  6   7 Dan E Arking  8 John Barnard  9 Traci M Bartz  10 Kathryn L Lunetta  1   11 Kurt Lohman  12 Marcus E Kleber  13 Steven A Lubitz  14   15 Bastiaan Geelhoed  16 Stella Trompet  17   18 Maartje N Niemeijer  19 Tim Kacprowski  20   21 Daniel I Chasman  22 Derek Klarin  23   24   25   26 Moritz F Sinner  4 Melanie Waldenberger  5   13   27 Thomas Meitinger  5   28   29 Tamara B Harris  30 Lenore J Launer  30 Elsayed Z Soliman  31 Lin Y Chen  32 Jonathan D Smith  9 David R Van Wagoner  9 Jerome I Rotter  33 Bruce M Psaty  34   35 Zhijun Xie  2 Audrey E Hendricks  1   36 Jingzhong Ding  37 Graciela E Delgado  13 Niek Verweij  16 Pim van der Harst  16 Peter W Macfarlane  38 Ian Ford  39 Albert Hofman  19 André Uitterlinden  40 Jan Heeringa  19 Oscar H Franco  19 Jan A Kors  41 Stefan Weiss  20   21 Henry Völzke  21   42 Lynda M Rose  22 Pradeep Natarajan  15   23   24   26 Sekar Kathiresan  15   23   24   26 Stefan Kääb  4   5 Vilmundur Gudnason  6   7 Alvaro Alonso  43 Mina K Chung  9 Susan R Heckbert  35   44 Emelia J Benjamin  1   45   46 Yongmei Liu  47 Winfried März  48   49   50 Michiel Rienstra  16 J Wouter Jukema  17 Bruno H Stricker  40   51 Marcus Dörr  21   52 Christine M Albert  22 Patrick T Ellinor  15
Affiliations
Meta-Analysis

Gene-gene Interaction Analyses for Atrial Fibrillation

Honghuang Lin et al. Sci Rep. .

Abstract

Atrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility. We performed a large-scale association analysis of gene-gene interactions with AF in 8,173 AF cases, and 65,237 AF-free referents collected from 15 studies for discovery. We examined putative interactions between genome-wide SNPs and 17 known AF-related SNPs. The top interactions were then tested for association in an independent cohort for replication, which included more than 2,363 AF cases and 114,746 AF-free referents. One interaction, between rs7164883 at the HCN4 locus and rs4980345 at the SLC28A1 locus, was found to be significantly associated with AF in the discovery cohorts (interaction OR = 1.44, 95% CI: 1.27-1.65, P = 4.3 × 10-8). Eight additional gene-gene interactions were also marginally significant (P < 5 × 10-7). However, none of the top interactions were replicated. In summary, we did not find significant interactions that were associated with AF susceptibility. Future increases in sample size and denser genotyping might facilitate the identification of gene-gene interactions associated with AF.

PubMed Disclaimer

Conflict of interest statement

Dr. Ellinor serves as the principal investigator on a grant from Bayer HealthCare to the Broad Institute related to atrial fibrillation. Dr. Psaty serves on the DSMB of a clinical trial funded by the device manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson.

Figures

Figure 1
Figure 1. Regional plot of the interaction between rs7164883 and SNPs close to rs4980345.
Each dot represents one SNP. The x-axis represents the chromosomal position, whereas the y-axis represents the −log10(P) of the association of the interaction between rs7164883 and each SNP with AF.
Figure 2
Figure 2. Forest plot of the association of interaction between rs7164883 and rs4980345 with AF in each study.
Each line represents the 95% confidence interval, and the size is proportional to the number of cases. OR: odds ratio.

Similar articles

Cited by

References

    1. Chugh S. S. et al.. Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study. Circulation 129, 837–847, doi: 10.1161/CIRCULATIONAHA.113.005119 (2014). - DOI - PMC - PubMed
    1. Wolff L. Familial auricular fibrillation. New Eng J Med 229, 396–398 (1943).
    1. Fox C. S. et al.. Parental atrial fibrillation as a risk factor for atrial fibrillation in offspring. JAMA 291, 2851–2855, doi: 10.1001/jama.291.23.2851291/23/2851[pii] (2004). - DOI - PubMed
    1. Arnar D. O. et al.. Familial aggregation of atrial fibrillation in Iceland. Eur Heart J 27, 708–712 (2006). - PubMed
    1. Ellinor P. T., Yoerger D. M., Ruskin J. N. & MacRae C. A. Familial aggregation in lone atrial fibrillation. Hum Genet 118, 179–184 (2005). - PubMed

Publication types

MeSH terms

Substances

Grants and funding