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Gustav Smith

Associate professor

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Genetic polymorphisms for estimating risk of atrial fibrillation: a literature-based meta-analysis.


  • Gustav Smith
  • Peter Almgren
  • Gunnar Engström
  • Bo Hedblad
  • Pyotr Platonov
  • Christopher Newton-Cheh
  • Olle Melander

Summary, in English


Genetic polymorphisms associated with common aetiologically complex diseases have recently been identified through genome-wide association studies. Direct-to-consumer genetic testing for such polymorphisms, with provision of absolute genetic risk estimates, is marketed by several commercial companies. Polymorphisms associated with atrial fibrillation (AF) have shown relatively large risk estimates but the robustness of such estimates across populations and study designs has not been investigated.


A systematic literature review with meta-analysis and assessment of between-study heterogeneity was performed for single-nucleotide polymorphisms (SNPs) in the six genetic regions associated with AF in genome-wide or candidate gene studies.


Data were identified from 18 samples of European ancestry (n=12,100 cases, 115,702 controls) for the SNP on chromosome 4q25 (rs220733), from 16 samples (n=12,694 cases, 132,602 controls) for the SNP on 16q22 (rs2106261) and from four samples (n=5,272 cases, 59,725 controls) for the SNP in KCNH2 (rs1805123). Only the publications in which the associations were initially reported were identified for SNPs on 1q21 and in GJA5 and IL6R, why meta-analyses were not performed for those SNPs. In overall random-effects meta-analyses, association with AF was observed for both SNPs on chromosomes 4q25 [odds ratio (OR) 1.67, 95% CI 1.50-1.86, P=2x10(-21) ] and 16q22 (OR 1.21, 95% CI 1.13-1.29, P=1x10(-8) ) from genome-wide studies, but not the SNP in KCNH2 from candidate gene studies (P=0.15). There was substantial effect heterogeneity across case-control and cross-sectional studies for both polymorphisms (I(2) =0.50-0.78, P<0.05), but not across prospective cohort studies (I(2) =0.39, P=0.15). Both polymorphisms were robustly associated with AF for each study design individually (P<0.05).


In meta-analyses including up to 150,000 individuals, polymorphisms in two genetic regions were robustly associated with AF across all study designs but with substantial context-dependency of risk estimates. © 2012 The Association for the Publication of the Journal of Internal Medicine.


  • Cardiology
  • Cardiovascular Research - Hypertension
  • Genomics, Diabetes and Endocrinology
  • Cardiovascular Research - Epidemiology
  • EXODIAB: Excellence of Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year





Journal of Internal Medicine

Document type

Journal article




  • Cardiac and Cardiovascular Systems



Research group

  • Cardiovascular Research - Hypertension
  • Genomics, Diabetes and Endocrinology
  • Cardiovascular Research - Epidemiology


  • ISSN: 1365-2796