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Common Variation in the FTO Gene Alters Diabetes-Related Metabolic Traits to the Extent Expected Given Its Effect on BMI
Open accessAbstract
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, γ-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 × 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.
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
(2000) · PubMed · Cited by 13,173
Obesity : Preventing and managing the global epidemic
Akram, D. S., Astrup, A. V., Atinmo, T., Boissin, J.-L., Bray, G. A., Carroll, K. N., Chitson, P., Chen, C., Dietz, W. H., Hill, J. O., et al. (2000) · Research at the University of Copenhagen (University of Copenhagen) · Cited by 12,945
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationThe metabolic syndrome—a new worldwide definition
Alberti, K. G. M., Zimmet, P., & Shaw, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67402-8 · Cited by 9,352
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,601
Eckel, R. H., Alberti, K., Grundy, S. M., & Zimmet, P. Z. (2010) · The Lancet · doi:10.1016/s0140-6736(09)61794-3 · Cited by 6,295
Lippa, N. C., & Sanderson, S. C. (2013) · Human Heredity · doi:10.1159/000353712 · Cited by 6,078
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882
Self-citationEckel, R. H., Grundy, S. M., & Zimmet, P. Z. (2005) · The Lancet · doi:10.1016/s0140-6736(05)66378-7 · Cited by 5,550
The Disease Burden Associated With Overweight and Obesity
Must, A. (1999) · JAMA · doi:10.1001/jama.282.16.1523 · Cited by 4,780
Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
Lawlor, D. A., Harbord, R. M., Sterne, J. A. C., Timpson, N., & Davey Smith, G. (2008) · Statistics in Medicine · doi:10.1002/sim.3034 · Cited by 4,618
Self-citationFrayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., et al. (2007) · Science · doi:10.1126/science.1141634 · Cited by 4,531
Self-citationObesity and the Metabolic Syndrome in Children and Adolescents
Weiss, R., Dziura, J., Burgert, T. S., Tamborlane, W. V., Taksali, S. E., Yeckel, C. W., Allen, K., Lopes, M., Savoye, M., Morrison, J., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa031049 · Cited by 3,459
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Self-citationScuteri, A., Sanna, S., Chen, W.-M., Uda, M., Albai, G., Strait, J., Najjar, S., Nagaraja, R., Orrú, M., Usala, G., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030115 · Cited by 1,724
Variation in FTO contributes to childhood obesity and severe adult obesity
Dina, C., Meyre, D., Gallina, S., Durand, E., Körner, A., Jacobson, P., Carlsson, L. M. S., Kiess, W., Vatin, V., Lecoeur, C., et al. (2007) · Nature Genetics · doi:10.1038/ng2048 · Cited by 1,619
Grundy, S. M. (2011) · Atlas of Atherosclerosis and Metabolic Syndrome · doi:10.1007/978-1-4419-5839-6_1 · Cited by 1,223
Khaw, K.-T. (2001) · BMJ · doi:10.1136/bmj.322.7277.15 · Cited by 1,017
Ferrucci, L., Bandinelli, S., Benvenuti, E., Di Iorio, A., Macchi, C., Harris, T. B., & Guralnik, J. M. (2000) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2000.tb03873.x · Cited by 804
Self-citationThe epidemiology of overweight and obesity: public health crisis or moral panic?
Campos, P., Saguy, A., Ernsberger, P., Oliver, E., & Gaesser, G. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyi254 · Cited by 744
Saxena, R., Gianniny, L., Burtt, N. P., Lyssenko, V., Giuducci, C., Sjögren, M., Florez, J. C., Almgren, P., Isomaa, B., Orho-Melander, M., et al. (2006) · Diabetes · doi:10.2337/db06-0381 · Cited by 374
The longitudinal study of the Northern Finland birth cohort of 1966
Rantakallio, P. (1988) · Paediatric and Perinatal Epidemiology · doi:10.1111/j.1365-3016.1988.tb00180.x · Cited by 370
The Caerphilly and Speedwell Collaborative Heart Disease Studies
Miller, N. E., Bolton, C., Hayes, T. M., Bainton, D., YARNELL, J. W. G., Baker, I. A., & Sweetnam, P. M. (1992) · Cited by 282
Omori, S., Tanaka, Y., Takahashi, A., Hirose, H., Kashiwagi, A., Kaku, K., Kawamori, R., Nakamura, Y., & Maeda, S. (2008) · Diabetes · doi:10.2337/db07-0979 · Cited by 280
Pascoe, L., Tura, A., Patel, S. K., Ibrahim, I. M., Ferrannini, E., Zeggini, E., Weedon, M. N., Mari, A., Hattersley, A. T., McCarthy, M. I., et al. (2007) · Diabetes · doi:10.2337/db07-0634 · Cited by 254
Self-citationLi, H., Wu, Y., Loos, R. J. F., Hu, F. B., Liu, Y., Wang, J., Yu, Z., & Lin, X. (2008) · Diabetes · doi:10.2337/db07-1130 · Cited by 238
Horikoshi, M., Hara, K., Ito, C., Shojima, N., Nagai, R., Ueki, K., Froguel, P., & Kadowaki, T. (2007) · Diabetologia · doi:10.1007/s00125-007-0827-5 · Cited by 214
Lawlor, D. A., Bedford, C., Taylor, M., & Ebrahim, S. (2003) · Journal of Epidemiology and Community Health · doi:10.1136/jech.57.2.134 · Cited by 211
Self-citation(1984) · Journal of Epidemiology and Community Health · doi:10.1136/jech.38.3.259 · Cited by 158
Guilt beyond a reasonable doubt
Altshuler, D., & Daly, M. (2007) · Nature Genetics · doi:10.1038/ng0707-813 · Cited by 151
FTO polymorphisms in oceanic populations
Ohashi, J., Naka, I., Kimura, R., Natsuhara, K., Yamauchi, T., Furusawa, T., Nakazawa, M., Ataka, Y., Patarapotikul, J., Nuchnoi, P., et al. (2007) · Journal of Human Genetics · doi:10.1007/s10038-007-0198-2 · Cited by 144
Sattar, N., McConnachie, A., Ford, I., Gaw, A., Cleland, S. J., Forouhi, N. G., McFarlane, P., Shepherd, J., Cobbe, S., & Packard, C. (2007) · Diabetes · doi:10.2337/db06-1256 · Cited by 127
Type 2 Diabetes TCF7L2 Risk Genotypes Alter Birth Weight: A Study of 24,053 Individuals
Freathy, R. M., Weedon, M. N., Bennett, A. J., Hyppönen, E., Relton, C. L., Knight, B. A., Shields, B. M., Parnell, K. S., Groves, C. J., Ring, S. M., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/518517 · Cited by 123
Self-citationTan, G. D., Neville, M. J., Liverani, E., Humphreys, S. M., Currie, J. M., Dennis, L., Fielding, B. A., & Karpe, F. (2005) · Diabetologia · doi:10.1007/s00125-005-0044-z · Cited by 86
Self-citationBasile, J. (2002) · BMJ · doi:10.1136/bmj.325.7370.917 · Cited by 77
METAN: Stata module for fixed and random effects meta-analysis
Harris, R., Bradburn, M. J., Deeks, J. J., Harbord, R., Altman, D. G., Steichen, T. J., & Sterne, J. A. C. (2007) · Statistical Software Components · Cited by 71
The Exeter Family Study of Childhood Health (EFSOCH): study protocol and methodology
Knight, B., Shields, B. M., & Hattersley, A. T. (2006) · Paediatric and Perinatal Epidemiology · doi:10.1111/j.1365-3016.2006.00701.x · Cited by 62
Self-citationBanfield, P. (1961) · The Lancet · doi:10.1016/s0140-6736(61)91568-9 · Cited by 16
Alberti (1998) · doi:10.1002/(sici)1096-9136(199807)15:7<539::aid-dia668>3.0.co;2-s
Cited by
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Davey Smith, G., & Hemani, G. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu328 · Cited by 4,677
Self-citationWiller (2013) · doi:10.1038/ng.2797 · Cited by 2,983
Visscher, P. M., Brown, M. A., McCarthy, M. I., & Yang, J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.11.029 · Cited by 2,425
Self-citationMendelian Randomization as an Approach to Assess Causality Using Observational Data
Sekula, P., Del Greco M, F., Pattaro, C., & Köttgen, A. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2016010098 · Cited by 2,351
the GIANT Consortium (2009) · Nature Genetics · doi:10.1038/ng.287 · Cited by 1,720
Metadata
- Authors
- Freathy, R. M., Timpson, N. J., Lawlor, D. A., Pouta, A., Ben-Shlomo, Y., Ruokonen, A., Ebrahim, S., Shields, B., Zeggini, E., Weedon, M. N., Lindgren, C. M., Lango, H., Melzer, D., Ferrucci, L., Paolisso, G., Neville, M. J., Karpe, F., Palmer, C. N. A., Morris, A. D., Elliott, P., Jarvelin, M.-R., Davey Smith, G., McCarthy, M. I., Hattersley, A. T., & Frayling, T. M.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2008-05-01
- Volume
- 57
- Issue
- 5
- Pages
- 1419-1426
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2123005049
- Cited by
- 316
- References
- 43
- FWCI
- 19.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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