Skip to main content
Top
Published in: Diabetologia 4/2012

Open Access 01-04-2012 | Article

Association of genetic variation in FTO with risk of obesity and type 2 diabetes with data from 96,551 East and South Asians

Authors: H. Li, T. O. Kilpeläinen, C. Liu, J. Zhu, Y. Liu, C. Hu, Z. Yang, W. Zhang, W. Bao, S. Cha, Y. Wu, T. Yang, A. Sekine, B. Y. Choi, C. S. Yajnik, D. Zhou, F. Takeuchi, K. Yamamoto, J. C. Chan, K. R. Mani, L. F. Been, M. Imamura, E. Nakashima, N. Lee, T. Fujisawa, S. Karasawa, W. Wen, C. V. Joglekar, W. Lu, Y. Chang, Y. Xiang, Y. Gao, S. Liu, Y. Song, S. H. Kwak, H. D. Shin, K. S. Park, C. H. D. Fall, J. Y. Kim, P. C. Sham, K. S. L. Lam, W. Zheng, X. Shu, H. Deng, H. Ikegami, G. V. Krishnaveni, D. K. Sanghera, L. Chuang, L. Liu, R. Hu, Y. Kim, M. Daimon, K. Hotta, W. Jia, J. S. Kooner, J. C. Chambers, G. R. Chandak, R. C. Ma, S. Maeda, R. Dorajoo, M. Yokota, R. Takayanagi, N. Kato, X. Lin, R. J. F. Loos

Published in: Diabetologia | Issue 4/2012

Login to get access

Abstract

Aims/hypothesis

FTO harbours the strongest known obesity-susceptibility locus in Europeans. While there is growing evidence for a role for FTO in obesity risk in Asians, its association with type 2 diabetes, independently of BMI, remains inconsistent. To test whether there is an association of the FTO locus with obesity and type 2 diabetes, we conducted a meta-analysis of 32 populations including 96,551 East and South Asians.

Methods

All studies published on the association between FTO-rs9939609 (or proxy [r 2 > 0.98]) and BMI, obesity or type 2 diabetes in East or South Asians were invited. Each study group analysed their data according to a standardised analysis plan. Association with type 2 diabetes was also adjusted for BMI. Random-effects meta-analyses were performed to pool all effect sizes.

Results

The FTO-rs9939609 minor allele increased risk of obesity by 1.25-fold/allele (p = 9.0 × 10−19), overweight by 1.13-fold/allele (p = 1.0 × 10−11) and type 2 diabetes by 1.15-fold/allele (p = 5.5 × 10−8). The association with type 2 diabetes was attenuated after adjustment for BMI (OR 1.10-fold/allele, p = 6.6 × 10−5). The FTO-rs9939609 minor allele increased BMI by 0.26 kg/m2 per allele (p = 2.8 × 10−17), WHR by 0.003/allele (p = 1.2 × 10−6), and body fat percentage by 0.31%/allele (p = 0.0005). Associations were similar using dominant models. While the minor allele is less common in East Asians (12–20%) than South Asians (30–33%), the effect of FTO variation on obesity-related traits and type 2 diabetes was similar in the two populations.

Conclusions/interpretation

FTO is associated with increased risk of obesity and type 2 diabetes, with effect sizes similar in East and South Asians and similar to those observed in Europeans. Furthermore, FTO is also associated with type 2 diabetes independently of BMI.
Appendix
Available only for authorised users
Literature
1.
go back to reference Frayling TM, Timpson NJ, Weedon MN et al (2007) A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316:889–894PubMedCrossRef Frayling TM, Timpson NJ, Weedon MN et al (2007) A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316:889–894PubMedCrossRef
2.
go back to reference Scuteri A, Sanna S, Chen WM et al (2007) Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet 3:e115PubMedCrossRef Scuteri A, Sanna S, Chen WM et al (2007) Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet 3:e115PubMedCrossRef
3.
go back to reference Loos RJ, Lindgren CM, Li S et al (2008) Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 40:768–775PubMedCrossRef Loos RJ, Lindgren CM, Li S et al (2008) Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 40:768–775PubMedCrossRef
4.
go back to reference Willer CJ, Speliotes EK, Loos RJ et al (2009) Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41:25–34PubMedCrossRef Willer CJ, Speliotes EK, Loos RJ et al (2009) Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41:25–34PubMedCrossRef
5.
go back to reference Thorleifsson G, Walters GB, Gudbjartsson DF et al (2009) Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet 41:18–24PubMedCrossRef Thorleifsson G, Walters GB, Gudbjartsson DF et al (2009) Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet 41:18–24PubMedCrossRef
6.
go back to reference Chambers JC, Elliott P, Zabaneh D et al (2008) Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat Genet 40:716–718PubMedCrossRef Chambers JC, Elliott P, Zabaneh D et al (2008) Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat Genet 40:716–718PubMedCrossRef
7.
go back to reference Speliotes EK, Willer CJ, Berndt SI et al (2010) Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42:937–948PubMedCrossRef Speliotes EK, Willer CJ, Berndt SI et al (2010) Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42:937–948PubMedCrossRef
8.
go back to reference Lindgren CM, Heid IM, Randall JC et al (2009) Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution. PLoS Genet 5:e1000508PubMedCrossRef Lindgren CM, Heid IM, Randall JC et al (2009) Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution. PLoS Genet 5:e1000508PubMedCrossRef
9.
go back to reference Heard-Costa NL, Zillikens MC, Monda KL et al (2009) NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium. PLoS Genet 5:e1000539PubMedCrossRef Heard-Costa NL, Zillikens MC, Monda KL et al (2009) NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium. PLoS Genet 5:e1000539PubMedCrossRef
10.
go back to reference Heid IM, Jackson AU, Randall JC et al (2010) Meta-analysis identifies 13 new loci associated with waist–hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42:949–960PubMedCrossRef Heid IM, Jackson AU, Randall JC et al (2010) Meta-analysis identifies 13 new loci associated with waist–hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42:949–960PubMedCrossRef
11.
go back to reference Meyre D, Delplanque J, Chevre JC et al (2009) Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nat Genet 41:157–159PubMedCrossRef Meyre D, Delplanque J, Chevre JC et al (2009) Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nat Genet 41:157–159PubMedCrossRef
12.
go back to reference Scherag A, Dina C, Hinney A et al (2010) Two new Loci for body-weight regulation identified in a joint analysis of genome-wide association studies for early-onset extreme obesity in French and German study groups. PLoS Genet 6:e1000916PubMedCrossRef Scherag A, Dina C, Hinney A et al (2010) Two new Loci for body-weight regulation identified in a joint analysis of genome-wide association studies for early-onset extreme obesity in French and German study groups. PLoS Genet 6:e1000916PubMedCrossRef
13.
go back to reference Kring SI, Holst C, Zimmermann E et al (2008) FTO gene associated fatness in relation to body fat distribution and metabolic traits throughout a broad range of fatness. PLoS One 3:e2958PubMedCrossRef Kring SI, Holst C, Zimmermann E et al (2008) FTO gene associated fatness in relation to body fat distribution and metabolic traits throughout a broad range of fatness. PLoS One 3:e2958PubMedCrossRef
14.
go back to reference Hotta K, Nakamura M, Nakamura T et al (2010) Polymorphisms in NRXN3, TFAP2B, MSRA, LYPLAL1, FTO and MC4R and their effect on visceral fat area in the Japanese population. J Hum Genet 55:738–742PubMedCrossRef Hotta K, Nakamura M, Nakamura T et al (2010) Polymorphisms in NRXN3, TFAP2B, MSRA, LYPLAL1, FTO and MC4R and their effect on visceral fat area in the Japanese population. J Hum Genet 55:738–742PubMedCrossRef
15.
go back to reference Hertel JK, Johansson S, Sonestedt E et al (2011) FTO, Type 2 diabetes, and weight gain throughout adult life: a meta-analysis of 41,504 subjects from the Scandinavian HUNT, MDC, and MPP studies. Diabetes 60:1637–1644PubMedCrossRef Hertel JK, Johansson S, Sonestedt E et al (2011) FTO, Type 2 diabetes, and weight gain throughout adult life: a meta-analysis of 41,504 subjects from the Scandinavian HUNT, MDC, and MPP studies. Diabetes 60:1637–1644PubMedCrossRef
16.
go back to reference Li H, Wu Y, Loos RJ et al (2008) Variants in the fat mass- and obesity-associated (FTO) gene are not associated with obesity in a Chinese Han population. Diabetes 57:264–268PubMedCrossRef Li H, Wu Y, Loos RJ et al (2008) Variants in the fat mass- and obesity-associated (FTO) gene are not associated with obesity in a Chinese Han population. Diabetes 57:264–268PubMedCrossRef
17.
go back to reference Horikoshi M, Hara K, Ito C et al (2007) Variations in the HHEX gene are associated with increased risk of type 2 diabetes in the Japanese population. Diabetologia 50:2461–2466PubMedCrossRef Horikoshi M, Hara K, Ito C et al (2007) Variations in the HHEX gene are associated with increased risk of type 2 diabetes in the Japanese population. Diabetologia 50:2461–2466PubMedCrossRef
18.
go back to reference Liu Y, Liu Z, Song Y et al (2010) Meta-analysis added power to identify variants in FTO associated with type 2 diabetes and obesity in the Asian population. Obesity (Silver Spring) 18:1619–1624CrossRef Liu Y, Liu Z, Song Y et al (2010) Meta-analysis added power to identify variants in FTO associated with type 2 diabetes and obesity in the Asian population. Obesity (Silver Spring) 18:1619–1624CrossRef
19.
go back to reference Karasawa S, Daimon M, Sasaki S et al (2010) Association of the common fat mass and obesity associated (FTO) gene polymorphism with obesity in a Japanese population. Endocr J 57:293–301PubMedCrossRef Karasawa S, Daimon M, Sasaki S et al (2010) Association of the common fat mass and obesity associated (FTO) gene polymorphism with obesity in a Japanese population. Endocr J 57:293–301PubMedCrossRef
20.
go back to reference Hotta K, Nakata Y, Matsuo T et al (2008) Variations in the FTO gene are associated with severe obesity in the Japanese. J Hum Genet 53:546–553PubMedCrossRef Hotta K, Nakata Y, Matsuo T et al (2008) Variations in the FTO gene are associated with severe obesity in the Japanese. J Hum Genet 53:546–553PubMedCrossRef
21.
go back to reference Ng MC, Tam CH, So WY et al (2010) Implication of genetic variants near NEGR1, SEC16B, TMEM18, ETV5/DGKG, GNPDA2, LIN7C/BDNF, MTCH2, BCDIN3D/FAIM2, SH2B1, FTO, MC4R, and KCTD15 with obesity and type 2 diabetes in 7705 Chinese. J Clin Endocrinol Metab 95:2418–2425PubMedCrossRef Ng MC, Tam CH, So WY et al (2010) Implication of genetic variants near NEGR1, SEC16B, TMEM18, ETV5/DGKG, GNPDA2, LIN7C/BDNF, MTCH2, BCDIN3D/FAIM2, SH2B1, FTO, MC4R, and KCTD15 with obesity and type 2 diabetes in 7705 Chinese. J Clin Endocrinol Metab 95:2418–2425PubMedCrossRef
22.
go back to reference Tan JT, Dorajoo R, Seielstad M et al (2008) FTO variants are associated with obesity in the Chinese and Malay populations in Singapore. Diabetes 57:2851–2857PubMedCrossRef Tan JT, Dorajoo R, Seielstad M et al (2008) FTO variants are associated with obesity in the Chinese and Malay populations in Singapore. Diabetes 57:2851–2857PubMedCrossRef
23.
go back to reference Chang YC, Liu PH, Lee WJ et al (2008) Common variation in the fat mass and obesity-associated (FTO) gene confers risk of obesity and modulates BMI in the Chinese population. Diabetes 57:2245–2252PubMedCrossRef Chang YC, Liu PH, Lee WJ et al (2008) Common variation in the fat mass and obesity-associated (FTO) gene confers risk of obesity and modulates BMI in the Chinese population. Diabetes 57:2245–2252PubMedCrossRef
24.
go back to reference Cheung CY, Tso AW, Cheung BM et al (2010) Obesity susceptibility genetic variants identified from recent genome-wide association studies: implications in a Chinese population. J Clin Endocrinol Metab 95:1395–1403PubMedCrossRef Cheung CY, Tso AW, Cheung BM et al (2010) Obesity susceptibility genetic variants identified from recent genome-wide association studies: implications in a Chinese population. J Clin Endocrinol Metab 95:1395–1403PubMedCrossRef
25.
go back to reference Cha SW, Choi SM, Kim KS et al (2008) Replication of genetic effects of FTO polymorphisms on BMI in a Korean population. Obesity (Silver Spring) 16:2187–2189CrossRef Cha SW, Choi SM, Kim KS et al (2008) Replication of genetic effects of FTO polymorphisms on BMI in a Korean population. Obesity (Silver Spring) 16:2187–2189CrossRef
26.
go back to reference Lee HJ, Kim IK, Kang JH et al (2010) Effects of common FTO gene variants associated with BMI on dietary intake and physical activity in Koreans. Clin Chim Acta 411:1716–1722PubMedCrossRef Lee HJ, Kim IK, Kang JH et al (2010) Effects of common FTO gene variants associated with BMI on dietary intake and physical activity in Koreans. Clin Chim Acta 411:1716–1722PubMedCrossRef
27.
go back to reference Marvelle AF, Lange LA, Qin L, Adair LS, Mohlke KL (2008) Association of FTO with obesity-related traits in the Cebu Longitudinal Health and Nutrition Survey (CLHNS) Cohort. Diabetes 57:1987–1991PubMedCrossRef Marvelle AF, Lange LA, Qin L, Adair LS, Mohlke KL (2008) Association of FTO with obesity-related traits in the Cebu Longitudinal Health and Nutrition Survey (CLHNS) Cohort. Diabetes 57:1987–1991PubMedCrossRef
28.
go back to reference Cho YS, Go MJ, Kim YJ et al (2009) A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat Genet 41:527–534PubMedCrossRef Cho YS, Go MJ, Kim YJ et al (2009) A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat Genet 41:527–534PubMedCrossRef
29.
go back to reference Peng S, Zhu Y, Xu F, Ren X, Li X, Lai M (2011) FTO gene polymorphisms and obesity risk: a meta-analysis. BMC Med 9:71PubMedCrossRef Peng S, Zhu Y, Xu F, Ren X, Li X, Lai M (2011) FTO gene polymorphisms and obesity risk: a meta-analysis. BMC Med 9:71PubMedCrossRef
30.
go back to reference Xi B, Mi J (2009) FTO polymorphisms are associated with obesity but not with diabetes in East Asian populations: a meta-analysis. Biomed Environ Sci 22:449–457PubMedCrossRef Xi B, Mi J (2009) FTO polymorphisms are associated with obesity but not with diabetes in East Asian populations: a meta-analysis. Biomed Environ Sci 22:449–457PubMedCrossRef
31.
go back to reference Dorajoo R, Blakemore AI, Sim X et al (2011) Replication of 13 obesity loci among Singaporean Chinese. Malay and Asian–Indian populations. Int J Obes (Lond). doi:10.1038/ijo.2011.86 Dorajoo R, Blakemore AI, Sim X et al (2011) Replication of 13 obesity loci among Singaporean Chinese. Malay and Asian–Indian populations. Int J Obes (Lond). doi:10.​1038/​ijo.​2011.​86
32.
go back to reference Ramya K, Radha V, Ghosh S, Majumder PP, Mohan V (2010) Genetic variations in the FTO gene are associated with type 2 diabetes and obesity in south Indians (CURES-79). Diabetes Technol Ther 13:33–42CrossRef Ramya K, Radha V, Ghosh S, Majumder PP, Mohan V (2010) Genetic variations in the FTO gene are associated with type 2 diabetes and obesity in south Indians (CURES-79). Diabetes Technol Ther 13:33–42CrossRef
33.
go back to reference Yajnik CS, Janipalli CS, Bhaskar S et al (2009) FTO gene variants are strongly associated with type 2 diabetes in South Asian Indians. Diabetologia 52:247–252PubMedCrossRef Yajnik CS, Janipalli CS, Bhaskar S et al (2009) FTO gene variants are strongly associated with type 2 diabetes in South Asian Indians. Diabetologia 52:247–252PubMedCrossRef
34.
go back to reference Ng MC, Park KS, Oh B et al (2008) Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians. Diabetes 57:2226–2233PubMedCrossRef Ng MC, Park KS, Oh B et al (2008) Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians. Diabetes 57:2226–2233PubMedCrossRef
35.
go back to reference Li X, Song F, Jiang H et al (2010) A genetic variation in the fat mass- and obesity-associated gene is associated with obesity and newly diagnosed type 2 diabetes in a Chinese population. Diabetes Metab Res Rev 26:128–132PubMedCrossRef Li X, Song F, Jiang H et al (2010) A genetic variation in the fat mass- and obesity-associated gene is associated with obesity and newly diagnosed type 2 diabetes in a Chinese population. Diabetes Metab Res Rev 26:128–132PubMedCrossRef
36.
go back to reference Shi J, Long J, Gao YT et al (2010) Evaluation of genetic susceptibility loci for obesity in Chinese women. Am J Epidemiol 172:244–254PubMedCrossRef Shi J, Long J, Gao YT et al (2010) Evaluation of genetic susceptibility loci for obesity in Chinese women. Am J Epidemiol 172:244–254PubMedCrossRef
37.
go back to reference Omori S, Tanaka Y, Takahashi A et al (2008) Association of CDKAL1, IGF2BP2, CDKN2A/B, HHEX, SLC30A8, and KCNJ11 with susceptibility to type 2 diabetes in a Japanese population. Diabetes 57:791–795PubMedCrossRef Omori S, Tanaka Y, Takahashi A et al (2008) Association of CDKAL1, IGF2BP2, CDKN2A/B, HHEX, SLC30A8, and KCNJ11 with susceptibility to type 2 diabetes in a Japanese population. Diabetes 57:791–795PubMedCrossRef
38.
go back to reference Tabara Y, Osawa H, Guo H et al (2009) Prognostic significance of FTO genotype in the development of obesity in Japanese: the J-SHIPP study. Int J Obes (Lond) 33:1243–1248CrossRef Tabara Y, Osawa H, Guo H et al (2009) Prognostic significance of FTO genotype in the development of obesity in Japanese: the J-SHIPP study. Int J Obes (Lond) 33:1243–1248CrossRef
39.
go back to reference Han X, Luo Y, Ren Q et al (2010) Implication of genetic variants near SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, FTO, TCF2, KCNQ1, and WFS1 in type 2 diabetes in a Chinese population. BMC Med Genet 11:81PubMedCrossRef Han X, Luo Y, Ren Q et al (2010) Implication of genetic variants near SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, FTO, TCF2, KCNQ1, and WFS1 in type 2 diabetes in a Chinese population. BMC Med Genet 11:81PubMedCrossRef
40.
go back to reference Sanghera DK, Ortega L, Han S et al (2008) Impact of nine common type 2 diabetes risk polymorphisms in Asian Indian Sikhs: PPARG2 (Pro12Ala), IGF2BP2, TCF7L2 and FTO variants confer a significant risk. BMC Med Genet 9:59PubMedCrossRef Sanghera DK, Ortega L, Han S et al (2008) Impact of nine common type 2 diabetes risk polymorphisms in Asian Indian Sikhs: PPARG2 (Pro12Ala), IGF2BP2, TCF7L2 and FTO variants confer a significant risk. BMC Med Genet 9:59PubMedCrossRef
41.
go back to reference Takeuchi F, Yamamoto K, Katsuya T et al (2011) Association of genetic variants for susceptibility to obesity with type 2 diabetes in Japanese individuals. Diabetologia 54:1350–1359PubMedCrossRef Takeuchi F, Yamamoto K, Katsuya T et al (2011) Association of genetic variants for susceptibility to obesity with type 2 diabetes in Japanese individuals. Diabetologia 54:1350–1359PubMedCrossRef
42.
go back to reference Shu XO, Long J, Cai Q et al (2010) Identification of new genetic risk variants for type 2 diabetes. PLoS Genet 6:e1001127PubMedCrossRef Shu XO, Long J, Cai Q et al (2010) Identification of new genetic risk variants for type 2 diabetes. PLoS Genet 6:e1001127PubMedCrossRef
43.
go back to reference Zhou BF, Cooperative Meta-Analysis Group of the Working Group on Obesity in China (2002) Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci 15:83–96PubMed Zhou BF, Cooperative Meta-Analysis Group of the Working Group on Obesity in China (2002) Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci 15:83–96PubMed
44.
45.
go back to reference Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21:1539–1558PubMedCrossRef Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21:1539–1558PubMedCrossRef
46.
go back to reference Ng MC, Tam CH, Lam VK, So WY, Ma RC, Chan JC (2007) Replication and identification of novel variants at TCF7L2 associated with type 2 diabetes in Hong Kong Chinese. J Clin Endocrinol Metab 92:3733–3737PubMedCrossRef Ng MC, Tam CH, Lam VK, So WY, Ma RC, Chan JC (2007) Replication and identification of novel variants at TCF7L2 associated with type 2 diabetes in Hong Kong Chinese. J Clin Endocrinol Metab 92:3733–3737PubMedCrossRef
47.
go back to reference Li S, Zhao JH, Luan J et al (2009) Cumulative effects and predictive value of common obesity–susceptibility variants identified by genome-wide association studies. Am J Clin Nutr 91:184–190PubMedCrossRef Li S, Zhao JH, Luan J et al (2009) Cumulative effects and predictive value of common obesity–susceptibility variants identified by genome-wide association studies. Am J Clin Nutr 91:184–190PubMedCrossRef
48.
go back to reference Consultation WHOE (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157–163CrossRef Consultation WHOE (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157–163CrossRef
49.
go back to reference Lear SA, Humphries KH, Kohli S, Chockalingam A, Frohlich JJ, Birmingham CL (2007) Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (M-CHAT). Am J Clin Nutr 86:353–359PubMed Lear SA, Humphries KH, Kohli S, Chockalingam A, Frohlich JJ, Birmingham CL (2007) Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (M-CHAT). Am J Clin Nutr 86:353–359PubMed
50.
go back to reference Chan JC, Malik V, Jia W et al (2009) Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA 301:2129–2140PubMedCrossRef Chan JC, Malik V, Jia W et al (2009) Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA 301:2129–2140PubMedCrossRef
51.
go back to reference Kirkpatrick CL, Marchetti P, Purrello F et al (2010) Type 2 diabetes susceptibility gene expression in normal or diabetic sorted human alpha and beta cells: correlations with age or BMI of islet donors. PLoS One 5:e11053PubMedCrossRef Kirkpatrick CL, Marchetti P, Purrello F et al (2010) Type 2 diabetes susceptibility gene expression in normal or diabetic sorted human alpha and beta cells: correlations with age or BMI of islet donors. PLoS One 5:e11053PubMedCrossRef
52.
go back to reference Bravard A, Lefai E, Meugnier E et al (2011) FTO is increased in muscle during type 2 diabetes, and its overexpression in myotubes alters insulin signaling, enhances lipogenesis and ROS production, and induces mitochondrial dysfunction. Diabetes 60:258–268PubMedCrossRef Bravard A, Lefai E, Meugnier E et al (2011) FTO is increased in muscle during type 2 diabetes, and its overexpression in myotubes alters insulin signaling, enhances lipogenesis and ROS production, and induces mitochondrial dysfunction. Diabetes 60:258–268PubMedCrossRef
53.
go back to reference Consortium HP-AS, Abdulla MA, Ahmed I et al (2009) Mapping human genetic diversity in Asia. Science 326:1541–1545PubMedCrossRef Consortium HP-AS, Abdulla MA, Ahmed I et al (2009) Mapping human genetic diversity in Asia. Science 326:1541–1545PubMedCrossRef
54.
go back to reference Hardy R, Wills AK, Wong A et al (2009) Life course variations in the associations between FTO and MC4R gene variants and body size. Hum Mol Genet 19:545–552PubMedCrossRef Hardy R, Wills AK, Wong A et al (2009) Life course variations in the associations between FTO and MC4R gene variants and body size. Hum Mol Genet 19:545–552PubMedCrossRef
55.
go back to reference Sha BY, Yang TL, Zhao LJ et al (2009) Genome-wide association study suggested copy number variation may be associated with body mass index in the Chinese population. J Hum Genet 54:199–202PubMedCrossRef Sha BY, Yang TL, Zhao LJ et al (2009) Genome-wide association study suggested copy number variation may be associated with body mass index in the Chinese population. J Hum Genet 54:199–202PubMedCrossRef
56.
go back to reference Hu C, Zhang R, Wang C et al (2009) PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population. PLoS One 4:e7643PubMedCrossRef Hu C, Zhang R, Wang C et al (2009) PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population. PLoS One 4:e7643PubMedCrossRef
57.
go back to reference Wen J, Ronn T, Olsson A et al (2010) Investigation of type 2 diabetes risk alleles support CDKN2A/B, CDKAL1, and TCF7L2 as susceptibility genes in a Han Chinese cohort. PLoS One 5:e9153PubMedCrossRef Wen J, Ronn T, Olsson A et al (2010) Investigation of type 2 diabetes risk alleles support CDKN2A/B, CDKAL1, and TCF7L2 as susceptibility genes in a Han Chinese cohort. PLoS One 5:e9153PubMedCrossRef
58.
go back to reference Cha S, Koo I, Park BL et al (2009) Genetic effects of FTO and MC4R polymorphisms on body mass in constitutional types. Evid Based Complement Alternat Med. doi:10.1093/ecam/nep162 Cha S, Koo I, Park BL et al (2009) Genetic effects of FTO and MC4R polymorphisms on body mass in constitutional types. Evid Based Complement Alternat Med. doi:10.​1093/​ecam/​nep162
59.
go back to reference Takeuchi F, Serizawa M, Yamamoto K et al (2009) Confirmation of multiple risk loci and genetic impacts by a genome-wide association study of type 2 diabetes in the Japanese population. Diabetes 58:1690–1699PubMedCrossRef Takeuchi F, Serizawa M, Yamamoto K et al (2009) Confirmation of multiple risk loci and genetic impacts by a genome-wide association study of type 2 diabetes in the Japanese population. Diabetes 58:1690–1699PubMedCrossRef
Metadata
Title
Association of genetic variation in FTO with risk of obesity and type 2 diabetes with data from 96,551 East and South Asians
Authors
H. Li
T. O. Kilpeläinen
C. Liu
J. Zhu
Y. Liu
C. Hu
Z. Yang
W. Zhang
W. Bao
S. Cha
Y. Wu
T. Yang
A. Sekine
B. Y. Choi
C. S. Yajnik
D. Zhou
F. Takeuchi
K. Yamamoto
J. C. Chan
K. R. Mani
L. F. Been
M. Imamura
E. Nakashima
N. Lee
T. Fujisawa
S. Karasawa
W. Wen
C. V. Joglekar
W. Lu
Y. Chang
Y. Xiang
Y. Gao
S. Liu
Y. Song
S. H. Kwak
H. D. Shin
K. S. Park
C. H. D. Fall
J. Y. Kim
P. C. Sham
K. S. L. Lam
W. Zheng
X. Shu
H. Deng
H. Ikegami
G. V. Krishnaveni
D. K. Sanghera
L. Chuang
L. Liu
R. Hu
Y. Kim
M. Daimon
K. Hotta
W. Jia
J. S. Kooner
J. C. Chambers
G. R. Chandak
R. C. Ma
S. Maeda
R. Dorajoo
M. Yokota
R. Takayanagi
N. Kato
X. Lin
R. J. F. Loos
Publication date
01-04-2012
Publisher
Springer-Verlag
Published in
Diabetologia / Issue 4/2012
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-011-2370-7

Other articles of this Issue 4/2012

Diabetologia 4/2012 Go to the issue

List of Refereees

LIST OF REFEREES

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.