The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis

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Abstract

Background:The association between adiposity and cardiometabolic traits is well known from epidemiological studies. Whilst the causal relationship is clear for some of these traits, for others it is not. We aimed to determine whether adiposity is causally related to various cardiometabolic traits using the Mendelian randomization approach.Methods and Findings:We used the adiposity-associated variant rs9939609 at the FTO locus as an instrumental variable (IV) for body mass index (BMI) in a Mendelian randomization design. Thirty-six population-based studies of individuals of European descent contributed to the analyses.Age- and sex-adjusted regression models were fitted to test for association between (i) rs9939609 and BMI (n = 198,502), (ii) rs9939609 and 24 traits, and (iii) BMI and 24 traits. The causal effect of BMI on the outcome measures was quantified by IV estimators. The estimators were compared to the BMI-trait associations derived from the same individuals. In the IV analysis, we demonstrated novel evidence for a causal relationship between adiposity and incident heart failure (hazard ratio, 1.19 per BMI-unit increase; 95% CI, 1.03-1.39) and replicated earlier reports of a causal association with type 2 diabetes, metabolic syndrome, dyslipidemia, and hypertension (odds ratio for IV estimator, 1.1-1.4; all p<0.05). For quantitative traits, our results provide novel evidence for a causal effect of adiposity on the liver enzymes alanine aminotransferase and gamma-glutamyl transferase and confirm previous reports of a causal effect of adiposity on systolic and diastolic blood pressure, fasting insulin, 2-h post-load glucose from the oral glucose tolerance test, C-reactive protein, triglycerides, and high-density lipoprotein cholesterol levels (all p<0.05). The estimated causal effects were in agreement with traditional observational measures in all instances except for type 2 diabetes, where the causal estimate was larger than the observational estimate (p = 0.001).Conclusions:We provide novel evidence for a causal relationship between adiposity and heart failure as well as between adiposity and increased liver enzymes.Please see later in the article for the Editors' Summary. © 2013 Fall et al.

Figures

  • Figure 1. In a Mendelian randomization framework, genotype–phenotype association is assumed to be independent of confounding factors. (A) In an example from our study, the IV estimator is calculated as the beta coefficient from the association of FTO with systolic blood pressure divided by the beta coefficient from the association of FTO with BMI (IV estimator = 0.32/0.36 = 0.89 mm Hg/BMI unit). The IV estimator is equivalent to what is seen when systolic blood pressure is regressed on BMI. These results are supportive of a causal, non-confounded relationship. For binary traits, the calculation of the IV estimator is done on the log-odds scale. (B) The relationship of BMI with T2D, where the IV estimator is ln(ORIV) = ln(1.12)/0.36, which equals a causal OR of BMI for T2D of 1.37. This is larger than what is seen in the standard age- and sexadjusted logistic regression of T2D on BMI (p = 0.001), indicating that confounding or reverse causation may be present or that BMI measured once in adulthood does not fully reflect the effect of lifetime adiposity. doi:10.1371/journal.pmed.1001474.g001
  • Table 1. Comparison of our study with previous Mendelian randomization studies of adiposity on cardiometabolic phenotypes.
  • Figure 2. Association between FTO variant rs9939609 and BMI in 198,502 individuals. The assigned weight for each study in the metaanalysis is shown in percent (% Weight). ES, estimate. For cohort abbreviations and references, see Table S1. doi:10.1371/journal.pmed.1001474.g002
  • Figure 3. Association between BMI and incident heart failure in 2,863 cases and 44,400 controls. Estimates (ES) are shown on a hazard ratio scale for a one-unit increase in BMI. The assigned weight for each study in the meta-analysis is shown in percent (% Weight). For cohort abbreviations and references, see Table S1. doi:10.1371/journal.pmed.1001474.g003
  • Figure 4. Association between FTO and incident heart failure in 2,863 cases and 44,400 controls. Estimates (ES) are shown on a hazard ratio scale per number of effect alleles. The assigned weight for each study in the meta-analysis is shown in percent (% Weight). For cohort abbreviations and references, see Table S1. doi:10.1371/journal.pmed.1001474.g004

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Fall, T., Hägg, S., Mägi, R., Ploner, A., Fischer, K., Horikoshi, M., … Prokopenko, I. (2013). The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis. PLoS Medicine, 10(6). https://doi.org/10.1371/journal.pmed.1001474

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