Common variation in the FTO gene alters diabetes-related metabolic traits to the extent expected given its effect on bmi

Rachel M. Freathy, Nicholas J. Timpson, Debbie A. Lawlor, Anneli Pouta, Yoav Ben-Shlomo, Aimo Ruokonen, Shah Ebrahim, Beverley Shields, Eleftheria Zeggini, Michael N. Weedon, Cecilia M. Lindgren, Hana Lango, David Melzer, Luigi Ferrucci, Giuseppe Paolisso, Matthew J. Neville, Fredrik Karpe, Colin N A Palmer, Andrew D. Morris, Paul ElliottMarjo Riitta Jarvelin, George Davey Smith, Mark I. McCarthy, Andrew T. Hattersley, Timothy M. Frayling

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVE-Common variation in the FTO gene is associated with BMI and type 2 diabetes. Increased BMI is associated with diabetes risk factors, including raised insulin, glucose, and triglycerides. We aimed to test whether FTO genotype is associ ated with variation in these metabolic traits. RESEARCH DESIGN AND METHODS-We tested the association between FTO genotype and 10 metabolic traits using data from 17,037 white European individuals. We compared the observed effect of FTO genotype on each trait to that expected given the FTO-BMI and BMI-trait associations. RESULTS-Each copy of the FTO rs9939609 A allele was associated with higher fasting insulin (0.039 SD [95% CI 0.0130.064]; P = 0.003), glucose (0.024 [0.001-0.048]; P = 0.044), and triglycerides (0.028 [0.003-0.052]; P = 0.025) and lower HDL cholesterol (0.032 [0.008-0.057]; P = 0.009). There was no evidence of these associations when adjusting for BMI. Associations with fasting alanine aminotransferase, γ-glutamyl-trans- ferase, LDL cholesterol, A1C, and systolic and diastolic blood pressure were in the expected direction but did not reach P <0.05. For all metabolic traits, effect sizes were consistent with those expected for the per allele change in BMI. FTO genotype was associated with a higher odds of metabolic syndrome (odds ratio 1.17 [95% CI 1.10-1.25]; P = 3 × 10 -6). CONCLUSIONS-FTO genotype is associated with metabolic traits to an extent entirely consistent with its effect on BMI. Sample sizes of > 12,000 individuals were needed to detect associations at P <0.05. Our findings highlight the importance of using appropriately powered studies to assess the effects of a known diabetes or obesity variant on secondary traits correlated with these conditions. Diabetes.

Original languageEnglish (US)
Pages (from-to)1419-1426
Number of pages8
JournalDiabetes
Volume57
Issue number5
DOIs
StatePublished - May 2008
Externally publishedYes

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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