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  • Expert Reviews in Molecular Medicine, Volume 12
  • 2010, e7

Progress in the genetics of common obesity and type 2 diabetes

  • Karani S. Vimaleswaran (a1) and Ruth J.F. Loos (a1)
  • DOI:
  • Published online: 26 February 2010

The prevalence of obesity and diabetes, which are heritable traits that arise from the interactions of multiple genes and lifestyle factors, continues to rise worldwide, causing serious health problems and imposing a substantial economic burden on societies. For the past 15 years, candidate gene and genome-wide linkage studies have been the main genetic epidemiological approaches to identify genetic loci for obesity and diabetes, yet progress has been slow and success limited. The genome-wide association approach, which has become available in recent years, has dramatically changed the pace of gene discoveries. Genome-wide association is a hypothesis-generating approach that aims to identify new loci associated with the disease or trait of interest. So far, three waves of large-scale genome-wide association studies have identified 19 loci for common obesity and 18 for common type 2 diabetes. Although the combined contribution of these loci to the variation in obesity and diabetes risk is small and their predictive value is typically low, these recently identified loci are set to substantially improve our insights into the pathophysiology of obesity and diabetes. This will require integration of genetic epidemiological methods with functional genomics and proteomics. However, the use of these novel insights for genetic screening and personalised treatment lies some way off in the future.

Corresponding author
*Corresponding author: Ruth Loos, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's HospitalBox 285, Hills Road, Cambridge, CB2 OQQ, UK. E-mail:
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

1K.M. Flegal (2005) Excess deaths associated with underweight, overweight, and obesity. Journal of the American Medical Association 293, 1861-1867

2C.L. Ogden (2006) Prevalence of overweight and obesity in the United States, 1999–2004. Journal of the American Medical Association 295, 1549-1555

3S.H. Jee (2006) Body-mass index and mortality in Korean men and women. New England Journal of Medicine 355, 779-787

4K.M. Narayan (2003) Lifetime risk for diabetes mellitus in the United States. Journal of the American Medical Association 290, 1884-1890

6J.O. Hill (2003) Obesity and the environment: where do we go from here? Science 299, 853-855

7H.H. Maes , M.C. Neale and L.J. Eaves (1997) Genetic and environmental factors in relative body weight and human obesity. Behavioural Genetics 27, 325-351

8A.J. Stunkard , T.T. Foch and Z. Hrubec (1986) A twin study of human obesity. Journal of the American Medical Association 256, 51-54

9A.J. Stunkard (1986) An adoption study of human obesity. New England Journal of Medicine 314, 193-198

10M.A. Permutt , J. Wasson and N. Cox (2005) Genetic epidemiology of diabetes. Journal of Clinical Investigation 115, 1431-1439

12A.M. Herskind (1996) Untangling genetic influences on smoking, body mass index and longevity: a multivariate study of 2464 Danish twins followed for 28 years. Human Genetics 98, 467-475

13A. Luke (2001) Heritability of obesity-related traits among Nigerians, Jamaicans and US black people. International Journal of Obesity and Related Metabolic Disorders 25, 1034-1041

14T. Rice (1999) Familial aggregation of body mass index and subcutaneous fat measures in the longitudinal Quebec Family Study. Genetic Epidemiology 16, 316-334

15J. Kaprio (1992) Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia 35, 1060-1067

16B. Newman (1987) Concordance for type 2 (non-insulin-dependent) diabetes mellitus in male twins. Diabetologia 30, 763-768

17P. Poulsen (1999) Heritability of type II (non-insulin-dependent) diabetes mellitus and abnormal glucose tolerance–a population-based twin study. Diabetologia 42, 139-145

19T. Rankinen (2006) The Human Obesity Gene Map: The 2005 Update. Obesity Research 14, 529-644

20D. Huszar (1997) Targeted disruption of the melanocortin-4 receptor results in obesity in mice. Cell 88, 131-141

21I.S. Farooqi (2003) Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene. New England Journal of Medicine 348, 1085-1095

22Z. Xiang (2006) Pharmacological characterization of 40 human melanocortin-4 receptor polymorphisms with the endogenous proopiomelanocortin-derived agonists and the agouti-related protein (AGRP) antagonist. Biochemistry 45, 7277-7288

23I.M. Heid (2005) Association of the 103I MC4R allele with decreased body mass in 7937 participants of two population based surveys. Journal of Medical Genetics 42, e21

24F. Geller (2004) Melanocortin 4 receptor gene variant I103 is negatively associated with obesity. American Journal of Human Genetics 74, 572-581

25E.H. Young (2007) The V103I polymorphism of the MC4R gene and obesity: population based studies and meta-analysis of 29,563 individuals. International Journal of Obesity 31, 1437-1441

26F. Stutzmann (2007) Non-synonymous polymorphisms in melanocortin-4 receptor protect against obesity: the two facets of a Janus obesity gene. Human Molecular Genetics 16, 1837-1844

27K. Clement (1995) Genetic variation in the b3-adrenergic receptor and an increased capacity to gain weight in patients with morbid obesity. New England Journal of Medicine 333, 352-354

28E. Widen (1995) Association of a Polymorphism in the {beta}3-Adrenergic-Receptor Gene with Features of the Insulin Resistance Syndrome in Finns. New England Journal of Medicine 333, 348-352

29J. Walston (1995) Time of Onset of Non-Insulin- Dependent Diabetes Mellitus and Genetic Variation in the {beta}3-Adrenergic-Receptor Gene. New England Journal of Medicine 333, 343-347

30F. Pietri-Rouxel (1997) The biochemical effect of the naturally occurring Trp64***Arg mutation on human beta3-adrenoceptor activity. European Journal of Biochemistry 247, 1174-1179

31T. Umekawa (1999) Trp64Arg mutation of beta3-adrenoceptor gene deteriorates lipolysis induced by beta3-adrenoceptor agonist in human omental adipocytes. Diabetes 48, 117-120

32N. Kurokawa (2008) The ADRB3 Trp64Arg variant and BMI: a meta-analysis of 44 833 individuals. International Journal of Obesity 32, 1240-1249

33R.S. Jackson (1997) Obesity and impaired prohormone processing associated with mutations in the human prohormone convertase 1 gene. Nature Genetics 16, 303-306

34M. Benzinou (2008) Common nonsynonymous variants in PCSK1 confer risk of obesity. Nature Genetics 40, 943-945

35S.G. Kernie , D.J. Liebl and L.F. Parada (2000) BDNF regulates eating behaviour and locomotor activity in mice. EMBO Journal 19, 1290-1300

36M. Rios (2001) Conditional deletion of brain-derived neurotrophic factor in the postnatal brain leads to obesity and hyperactivity. Molecular Endocrinology 15, 1748–57

37J. Gray (2006) Hyperphagia, severe obesity, impaired cognitive function, and hyperactivity associated with functional loss of one copy of the brain-derived neurotrophic factor (BDNF) gene. Diabetes 55, 3366-3371

38Y.Y. Shugart (2009) Two British women studies replicated the association between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and BMI. European Journal of Human Genetics 17, 1050-1055

39G. Thorleifsson (2009) Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nature Genetics 41, 18-24

40M. Benzinou (2008) Endocannabinoid receptor 1 gene variations increase risk for obesity and modulate body mass index in European populations. Human Molecular Genetics 17, 1916-1921

41D. Meyre (2007) ENPP1 K121Q polymorphism and obesity, hyperglycaemia and type 2 diabetes in the prospective DESIR Study. Diabetologia 50, 2090-2096

42M.N. Weedon (2006) No evidence of association of ENPP1 variants with type 2 diabetes or obesity in a study of 8,089 U.K. Caucasians. Diabetes 55, 3175-3179

43H.N. Lyon (2006) Common variants in the ENPP1 gene are not reproducibly associated with diabetes or obesity. Diabetes 55, 3180-3184

44N. Grarup (2006) Studies of the relationship between the ENPP1 K121Q polymorphism and type 2 diabetes, insulin resistance and obesity in 7,333 Danish white subjects. Diabetologia 49, 2097-2104

45L. Qi (2007) Interleukin-6 genetic variability and adiposity: associations in two prospective cohorts and systematic review in 26,944 individuals. Journal of Clinical Endocrinology and Metabolism 92, 3618-3625

46M.S. Jalba , G.G. Rhoads and K. Demissie (2008) Association of codon 16 and codon 27 beta 2-adrenergic receptor gene polymorphisms with obesity: a meta-analysis. Obesity 16, 2096-2106

48C.L. Saunders (2007) Meta-analysis of genome-wide linkage studies in BMI and obesity. Obesity 15, 2263-2275

49T.M. Frayling (2007) A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316, 889–94

50A. Scuteri (2007) Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLos Genetics 3, e115

51C. Dina (2007) Variation in FTO contributes to childhood obesity and severe adult obesity. Nature Genetics 39, 724-726

52R.J. Loos (2008) Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nature Genetics 40, 768–75

53J.C. Chambers (2008) Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nature Genetics 40, 716-718

54C.J. Willer (2009) Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nature Genetics 41, 25-34

55S. Li (2010) Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies. American Journal of Clinical Nutrition 91, 184-190

56D. Meyre (2009) Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nature Genetics 41, 157-159

57C.M. Lindgren (2009) Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution. PLoS Genetics 5, e1000508

58N.L. Heard-Costa (2009) NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium. PLoS Genetics 5, e1000539

59T. Gerken (2007) The obesity-associated FTO gene encodes a 2-oxoglutarate-dependent nucleic acid demethylase. Science 318, 1469-1472

60L. Sanchez-Pulido and M.A. Andrade-Navarro (2007) The FTO (fat mass and obesity associated) gene codes for a novel member of the nonheme dioxygenase superfamily. BMC Biochemistry 8, 23

61R. Fredriksson (2008) The obesity gene, FTO, is of ancient origin, up-regulated during food deprivation and expressed in neurons of feeding-related nuclei of the brain. Endocrinology 149, 2062-2071

62J. Fischer (2009) Inactivation of the Fto gene protects from obesity. Nature 458, 894-898

63G. Stratigopoulos (2008) Regulation of Fto/Ftm gene expression in mice and humans. American Journal of Physiology – Regulatory, Integrative, and Comparative Physiology 294, R1185-1196

64K. Wahlen , E. Sjolin and J. Hoffstedt (2008) The common rs9939609 gene variant of the fat mass and obesity associated gene (FTO) is related to fat cell lipolysis. Journal of Lipid Research 49, 607-611

65D. Ren (2007) Neuronal SH2B1 is essential for controlling energy and glucose homeostasis. Journal of Clinical Investigation 117, 397-406

66T. Nakagawa (2003) Anti-obesity and anti-diabetic effects of brain-derived neurotrophic factor in rodent models of leptin resistance. International Journal of Obesity and Related Metabolic Disorders 27, 557-565

67I. Barroso (2003) Candidate gene association study in type 2 diabetes indicates a role for genes involved in beta-cell function as well as insulin action. PLoS Biology 1, E20

68K.J. Gaulton (2008) Comprehensive association study of type 2 diabetes and related quantitative traits with 222 candidate genes. Diabetes 57, 3136-3144

69S.S. Deeb (1998) A Pro12Ala substitution in PPARγ2 associated with decreased receptor activity, lower body mass index and improved insulin sensitivity. Nature Genetics 20, 284-287

71A. Tönjes (2006) Association of Pro12Ala polymorphism in peroxisome proliferator-activated receptor gamma with Pre-diabetic phenotypes: meta-analysis of 57 studies on nondiabetic individuals. Diabetes Care 29, 2489-2497

72A.L. Gloyn (2003) Large-scale association studies of variants in genes encoding the pancreatic β-cell KATP channel subunits Kir6.2 (KCNJ11) and SUR1 (ABCC8) confirm that the KCNJ11 E23K variant is associated with type 2 diabetes. Diabetes 52, 568-572

73J.C. Florez (2004) Haplotype structure and genotype-phenotype correlations of the sulfonylurea receptor and the islet ATP-sensitive potassium channel gene region. Diabetes 53, 1360-1368

74R.M. Van Dam (2005) Common variants in the ATP-sensitive K+ channel genes KCNJ11 (Kir6.2) and ABCC8 (SUR1) in relation to glucose intolerance: population-based studies and meta-analyses. Diabetic Medicine 22, 590-598

76L.J. Scott (2007) A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 316, 1341-1345

77E. Zeggini (2008) Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nature Genetics 40, 638-645

78A.C. Riggs (2005) Mice conditionally lacking the Wolfram gene in pancreatic islet beta cells exhibit diabetes as a result of enhanced endoplasmic reticulum stress and apoptosis. Diabetologia 48, 2313-2321

79T. Yamada (2006) WFS1-deficiency increases endoplasmic reticulum stress, impairs cell cycle progression and triggers the apoptotic pathway specifically in pancreatic beta-cells. Human Molecular Genetics 15, 1600-1609

80J.A. Minton (2002) Association studies of genetic variation in the WFS1 gene and type 2 diabetes in U.K. populations. Diabetes 51, 1287-1290

81M.S. Sandhu (2007) Common variants in WFS1 confer risk of type 2 diabetes. Nature Genetics 39, 951-953

82P.W. Franks (2008) Replication of the association between variants in WFS1 and risk of type 2 diabetes in European populations. Diabetologia 51, 458-463

83W. Winckler (2007) Evaluation of common variants in the six known maturity-onset diabetes of the young (MODY) genes for association with type 2 diabetes. Diabetes 56, 685-693

84J. Gudmundsson (2007) Two variants on chromosome 17 confer prostate cancer risk, and the one in TCF2 protects against type 2 diabetes. Nature Genetics 39, 977-983

85A. Nandi (2004) Mouse models of insulin resistance. Physiological Reviews 84, 623-647

86K. Almind (1993) Aminoacid polymorphisms of insulin receptor substrate-I in non-insulin-dependent diabetus mellitus. Lancet 342, 828-832

87J. Rung (2009) Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia. Nature Genetics 41, 1110-1115

89W. Guan (2008) Meta-analysis of 23 type 2 diabetes linkage studies from the International Type 2 Diabetes Linkage Analysis Consortium. Human Heredity 66, 35-49

90S.F. Grant (2006) Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes. Nature Genetics 38, 320-323

91I. Reynisdottir (2003) Localization of a susceptibility gene for type 2 diabetes to chromosome 5q34-q35.2. American Journal of Human Genetics 73, 323-335

92J.C. Florez (2007) The new type 2 diabetes gene TCF7L2. Current Opinion in Clinical Nutrition and Metabolic Care 10, 391-396

93T. Jin and L. Liu (2008) The Wnt signaling pathway effector TCF7L2 and type 2 diabetes mellitus. Molecular Endocrinology 22, 2383-2392

94V. Lyssenko (2007) Mechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes. Journal of Clinical Investigation 117, 2155-2163

95R. Sladek (2007) A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 445, 881-885

96V. Steinthorsdottir (2007) A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nature Genetics 39, 770-775

97Wellcome Trust Case Control Consortium (2007) Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661-678

98H. Unoki (2008) SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations. Nature Genetics 40, 1098-1102

99K. Yasuda (2008) Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus. Nature Genetics 40, 1092-1097

100Y. Wu (2008) Common variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8 and HHEX/IDE genes are associated with type 2 diabetes and impaired fasting glucose in a Chinese Han population. Diabetes 57, 2834-2842

101I. Prokopenko (2009) Variants in MTNR1B influence fasting glucose levels. Nature Genetics 41, 77-81

102N. Bouatia-Naji (2009) A variant near MTNR1B is associated with increased fasting plasma glucose levels and type 2 diabetes risk. Nature Genetics 41, 89-94

103V. Lyssenko (2009) Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion. Nature Genetics 41, 82-88

104M. Van Hoek (2008) Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study. Diabetes 57, 3122-3128

105J.B. Meigs (2008) Genotype score in addition to common risk factors for prediction of type 2 diabetes. New England Journal of Medicine 359, 2208-2219

106V. Lyssenko (2008) Clinical risk factors, DNA variants, and the development of type 2 diabetes. New England Journal of Medicine 359, 2220-2232

107H. Lango (2008) Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk. Diabetes 57, 3129-3135

108E. Ravussin (1994) Effects of a traditional lifestyle on obesity in Pima Indians. Diabetes Care 17, 1067-1074

109J. Esparza (2000) Daily energy expenditure in Mexican and USA Pima Indians: low physical activity as a possible cause of obesity. International Journal of Obesity 24, 55-59

110E. Rampersaud (2008) Physical activity and the association of common FTO gene variants with body mass index and obesity. Archives of Internal Medicine 168, 1791-1797

111C.H. Andreasen (2008) Low physical activity accentuates the effect of the FTO rs9939609 polymorphism on body fat accumulation. Diabetes 57, 95-101

112K.S. Vimaleswaran (2009) Physical activity attenuates the body mass index-increasing influence of genetic variation in the FTO gene. American Journal of Clinical Nutrition 90, 425-428

113J.C. Florez (2006) TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program. New England Journal of Medicine 355, 241-250

114J. Wang (2007) Variants of transcription factor 7-like 2 (TCF7L2) gene predict conversion to type 2 diabetes in the Finnish Diabetes Prevention Study and are associated with impaired glucose regulation and impaired insulin secretion. Diabetologia 50, 1192-1200

115E. Zeggini (2007) Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 316, 1336-1341

117N. Bouatia-Naji (2008) A polymorphism within the G6PC2 gene is associated with fasting plasma glucose levels. Science 320, 1085-1088

118H.K. Tabor , N.J. Risch and R.M. Myers (2002) Candidate-gene approaches for studying complex genetic traits: practical considerations. Nature Review Genetics 3, 391-397

119T.M. Frayling (2007) Genome-wide association studies provide new insights into type 2 diabetes aetiology. Nature Review Genetics 8, 657-662

121International HapMap consortium, (2007) A second generation human haplotype map of over 3.1 million SNPs. Nature 449, 851-861

122R. Magi (2007) Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation. BMC Genomics 8, 159

123P.I. de Bakker (2008) Practical aspects of imputation-driven meta-analysis of genome-wide association studies. Human Molecular Genetics 17, R122–128

M.I. McCarthy and E. Zeggini (2009) Genome-wide association studies in type 2 diabetes. Current Diabetes Report 9,164-171

S. Li and R.J. Loos (2008) Progress in the genetics of common obesity: size matters. Current Opinion in Lipidology 19, 113-121

C.H. Andreasen and G. Andersen (2009) Gene-environment interactions and obesity-further aspects of genome-wide association studies. Nutrition 25, 998-1003

M. Ridderstråle and L. Groop (2009) Genetic dissection of type 2 diabetes. Molecular and Cellular Endocrinology 297, 10-17

S. O'Rahilly (2009) Human genetics illuminates the paths to metabolic disease. Nature 462, 307-314

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