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


Freathy, RM; Timpson, NJ; Lawlor, DA; Pouta, A; Ben-Shlomo, Y; Ruokonen, A; Ebrahim, S; Shields, B; Zeggini, E; Weedon, MN; Lindgren, CM; Lango, H; Melzer, D; Ferrucci, L; Paolisso, G; Neville, MJ; Karpe, F; Palmer, CN; Morris, AD; Elliott, P; Jarvelin, MR; Smith, GD; McCarthy, MI; Hattersley, AT; Frayling, TM; (2008) Common variation in the FTO gene alters diabetes-related metabolic traits to the extent expected, given its effect on BMI. Diabetes, 57 (5). pp. 1419-26. ISSN 0012-1797 DOI: https://doi.org/10.2337/db07-1466

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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 associated 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 0.013-0.064]; 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, gamma-glutamyl-transferase, 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 x 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.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Research Centre: Centre for Global Non-Communicable Diseases (NCDs)
PubMed ID: 18346983
Web of Science ID: 255628700035
URI: http://researchonline.lshtm.ac.uk/id/eprint/8088

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