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Erschienen in: Current Nutrition Reports 4/2014

01.12.2014 | Diabetes and Obesity (MR Carnethon, Section Editor)

Gene-Diet Interactions in Type 2 Diabetes

verfasst von: Marilyn C. Cornelis

Erschienen in: Current Nutrition Reports | Ausgabe 4/2014

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Abstract

Type 2 diabetes (T2D) is thought to arise from an interaction between susceptibility genes and a diabetogenic environment. This review summarizes progress pertaining specifically to gene-diet interactions. Recent efforts have been population-based and have focused on established genetic and dietary risk factors for T2D. TCF7L2 × carbohydrate-quality and IRS1 × macronutrient-composition interactions are promising factors, but most studies of gene-diet interactions are conflicting or need follow-up. T2D genetic risk scores are powerful predictors of developing T2D, but whether they can be combined with dietary risk factors merits further study. Lack of statistical power, imprecise diet measures, and conceptual issues surrounding replication all challenge our efforts to characterize interactions. Collaborations are needed for optimal study designs in both hypothesis-testing and hypothesis-generating contexts. Continued investment in studies of gene-diet interactions may lead to novel mechanistic insights into T2D, opportunities for risk stratification, and ultimately to personalized nutrition to prevent the disease.
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Zurück zum Zitat Almind K, Inoue G, Pedersen O, Kahn CR. A common amino acid polymorphism in insulin receptor substrate-1 causes impaired insulin signaling. Evidence from transfection studies. J Clin Invest. 1996;97(11):2569–75.PubMedCentralPubMed Almind K, Inoue G, Pedersen O, Kahn CR. A common amino acid polymorphism in insulin receptor substrate-1 causes impaired insulin signaling. Evidence from transfection studies. J Clin Invest. 1996;97(11):2569–75.PubMedCentralPubMed
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Zurück zum Zitat Laukkanen O, Pihlajamaki J, Lindstrom J, et al. Common polymorphisms in the genes regulating the early insulin signalling pathway: effects on weight change and the conversion from impaired glucose tolerance to Type 2 diabetes. The Finnish Diabetes Prevention Study. Diabetologia. 2004;47(5):871–7.PubMed Laukkanen O, Pihlajamaki J, Lindstrom J, et al. Common polymorphisms in the genes regulating the early insulin signalling pathway: effects on weight change and the conversion from impaired glucose tolerance to Type 2 diabetes. The Finnish Diabetes Prevention Study. Diabetologia. 2004;47(5):871–7.PubMed
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Zurück zum Zitat Marin C, Perez-Martinez P, Delgado-Lista J, et al. The insulin sensitivity response is determined by the interaction between the G972R polymorphism of the insulin receptor substrate 1 gene and dietary fat. Mol Nutr Food Res. 2011;55(2):328–35.PubMed Marin C, Perez-Martinez P, Delgado-Lista J, et al. The insulin sensitivity response is determined by the interaction between the G972R polymorphism of the insulin receptor substrate 1 gene and dietary fat. Mol Nutr Food Res. 2011;55(2):328–35.PubMed
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Zurück zum Zitat Qi Q, Xu M, Wu H, et al. IRS1 genotype modulates metabolic syndrome reversion in response to 2-year weight-loss diet intervention: the POUNDS LOST trial. Diabetes Care. 2013;36(11):3442–7.PubMed Qi Q, Xu M, Wu H, et al. IRS1 genotype modulates metabolic syndrome reversion in response to 2-year weight-loss diet intervention: the POUNDS LOST trial. Diabetes Care. 2013;36(11):3442–7.PubMed
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Zurück zum Zitat Qi Q, Bray GA, Smith SR, Hu FB, Sacks FM, Qi L. Insulin receptor substrate 1 gene variation modifies insulin resistance response to weight-loss diets in a 2-year randomized trial: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. Circulation. 2011;124(5):563–71.PubMedCentralPubMed Qi Q, Bray GA, Smith SR, Hu FB, Sacks FM, Qi L. Insulin receptor substrate 1 gene variation modifies insulin resistance response to weight-loss diets in a 2-year randomized trial: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. Circulation. 2011;124(5):563–71.PubMedCentralPubMed
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Zurück zum Zitat Speliotes EK, Willer CJ, Berndt SI, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet. 2010;42(11):937–48.PubMedCentralPubMed Speliotes EK, Willer CJ, Berndt SI, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet. 2010;42(11):937–48.PubMedCentralPubMed
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Zurück zum Zitat Saxena R, Hivert MF, Langenberg C, et al. Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge. Nat Genet. 2010;42(2):142–8.PubMedCentralPubMed Saxena R, Hivert MF, Langenberg C, et al. Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge. Nat Genet. 2010;42(2):142–8.PubMedCentralPubMed
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Zurück zum Zitat Meyre D. Is FTO, a type 2 diabetes susceptibility gene? Diabetologia. 2012;55(4):873–6.PubMed Meyre D. Is FTO, a type 2 diabetes susceptibility gene? Diabetologia. 2012;55(4):873–6.PubMed
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Zurück zum Zitat Lyssenko V, Eliasson L, Kotova O, et al. Pleiotropic effects of GIP on islet function involve osteopontin. Diabetes. 2011;60(9):2424–33.PubMedCentralPubMed Lyssenko V, Eliasson L, Kotova O, et al. Pleiotropic effects of GIP on islet function involve osteopontin. Diabetes. 2011;60(9):2424–33.PubMedCentralPubMed
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Zurück zum Zitat Ortega-Azorin C, Sorli JV, Asensio EM, et al. Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low. Cardiovasc Diabetol. 2012;11:137.PubMedCentralPubMed Ortega-Azorin C, Sorli JV, Asensio EM, et al. Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low. Cardiovasc Diabetol. 2012;11:137.PubMedCentralPubMed
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Zurück zum Zitat Sonestedt E, Lyssenko V, Ericson U, et al. Genetic variation in the glucose-dependent insulinotropic polypeptide receptor modifies the association between carbohydrate and fat intake and risk of type 2 diabetes in the Malmo Diet and Cancer cohort. J Clin Endocrinol Metab. 2012;97(5):E810–8.PubMed Sonestedt E, Lyssenko V, Ericson U, et al. Genetic variation in the glucose-dependent insulinotropic polypeptide receptor modifies the association between carbohydrate and fat intake and risk of type 2 diabetes in the Malmo Diet and Cancer cohort. J Clin Endocrinol Metab. 2012;97(5):E810–8.PubMed
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Zurück zum Zitat Qi Q, Bray GA, Hu FB, Sacks FM, Qi L. Weight-loss diets modify glucose-dependent insulinotropic polypeptide receptor rs2287019 genotype effects on changes in body weight, fasting glucose, and insulin resistance: the Preventing Overweight Using Novel Dietary Strategies trial. Am J Clin Nutr. 2012;95(2):506–13.PubMedCentralPubMed Qi Q, Bray GA, Hu FB, Sacks FM, Qi L. Weight-loss diets modify glucose-dependent insulinotropic polypeptide receptor rs2287019 genotype effects on changes in body weight, fasting glucose, and insulin resistance: the Preventing Overweight Using Novel Dietary Strategies trial. Am J Clin Nutr. 2012;95(2):506–13.PubMedCentralPubMed
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Zurück zum Zitat Lappalainen TJ, Tolppanen AM, Kolehmainen M, et al. The common variant in the FTO gene did not modify the effect of lifestyle changes on body weight: the Finnish Diabetes Prevention Study. Obesity (Silver Spring). 2009;17(4):832–6. Lappalainen TJ, Tolppanen AM, Kolehmainen M, et al. The common variant in the FTO gene did not modify the effect of lifestyle changes on body weight: the Finnish Diabetes Prevention Study. Obesity (Silver Spring). 2009;17(4):832–6.
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Zurück zum Zitat Qi L, Cornelis MC, Zhang C, van Dam RM, Hu FB. Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men. Am J Clin Nutr. 2009;89(5):1453–8.PubMedCentralPubMed Qi L, Cornelis MC, Zhang C, van Dam RM, Hu FB. Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men. Am J Clin Nutr. 2009;89(5):1453–8.PubMedCentralPubMed
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Zurück zum Zitat Langenberg C, Sharp SJ, Franks PW, et al. Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study. PLoS Med. 2014;11(5):e1001647. This is a recent study from a series of large-scale gene-environment interaction studies coordinated by consortia. See the Table 1 entry for this study. No interactions were observed between the T2D GRS and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. The relative effect of the T2D GRS was reportedly greater in younger and leaner participants. However, the investigators emphasize that on an absolute risk scale this subgroup would not be a logical target for preventive interventions.PubMedCentralPubMed Langenberg C, Sharp SJ, Franks PW, et al. Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study. PLoS Med. 2014;11(5):e1001647. This is a recent study from a series of large-scale gene-environment interaction studies coordinated by consortia. See the Table 1 entry for this study. No interactions were observed between the T2D GRS and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. The relative effect of the T2D GRS was reportedly greater in younger and leaner participants. However, the investigators emphasize that on an absolute risk scale this subgroup would not be a logical target for preventive interventions.PubMedCentralPubMed
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Zurück zum Zitat Li Y, Qi Q, Workalemahu T, Hu FB, Qi L. Birth weight, genetic susceptibility, and adulthood risk of type 2 diabetes. Diabetes Care. 2012;35(12):2479–84.PubMedCentralPubMed Li Y, Qi Q, Workalemahu T, Hu FB, Qi L. Birth weight, genetic susceptibility, and adulthood risk of type 2 diabetes. Diabetes Care. 2012;35(12):2479–84.PubMedCentralPubMed
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Zurück zum Zitat Zheng JS, Parnell LD, Smith CE, et al. Circulating 25-hydroxyvitamin D, IRS1 variant rs2943641, and insulin resistance: replication of a gene-nutrient interaction in 4 populations of different ancestries. Clin Chem. 2014;60(1):186–96.PubMedCentralPubMed Zheng JS, Parnell LD, Smith CE, et al. Circulating 25-hydroxyvitamin D, IRS1 variant rs2943641, and insulin resistance: replication of a gene-nutrient interaction in 4 populations of different ancestries. Clin Chem. 2014;60(1):186–96.PubMedCentralPubMed
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Zurück zum Zitat Anuradha CV. Phytochemicals targeting genes relevant for type 2 diabetes. Can J Physiol Pharmacol. 2013;91(6):397–411. This article provides a comprehensive review of the literature pertaining to phytochemicals/extracts that may target diabetogenic genes. A prospective on nutritional therapy of T2D is also provided.PubMed Anuradha CV. Phytochemicals targeting genes relevant for type 2 diabetes. Can J Physiol Pharmacol. 2013;91(6):397–411. This article provides a comprehensive review of the literature pertaining to phytochemicals/extracts that may target diabetogenic genes. A prospective on nutritional therapy of T2D is also provided.PubMed
103.••
Zurück zum Zitat Shin SY, Fauman EB, Petersen AK, et al. An atlas of genetic influences on human blood metabolites. Nat Genet. 2014;46(6):543–50. This study provides the most comprehensive exploration of genetic loci influencing human metabolism thus far. The investigators report genome-wide significant associations at 145 metabolic loci and their biochemical connectivity with more than 400 metabolites in human blood. Some of these loci overlap with those associated with T2D (see Table 2 in the current paper). Links between these loci and metabolites may, thus, provide mechanistic insight into the role of these loci (or metabolites) in T2D development. PubMed Shin SY, Fauman EB, Petersen AK, et al. An atlas of genetic influences on human blood metabolites. Nat Genet. 2014;46(6):543–50. This study provides the most comprehensive exploration of genetic loci influencing human metabolism thus far. The investigators report genome-wide significant associations at 145 metabolic loci and their biochemical connectivity with more than 400 metabolites in human blood. Some of these loci overlap with those associated with T2D (see Table 2 in the current paper). Links between these loci and metabolites may, thus, provide mechanistic insight into the role of these loci (or metabolites) in T2D development. PubMed
105.••
Zurück zum Zitat Thomas DC, Lewinger JP, Murcray CE, Gauderman WJ. Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome. Am J Epidemiol. 2012;175(3):203–7. discussion 208–209. This Invited Commentary discusses recent approaches to genome-wide environment interaction studies with special reference to findings from two recent studies in the same issue of the journal (Cornelis et al. 2012 and Mukherjee et al. 2012).PubMedCentralPubMed Thomas DC, Lewinger JP, Murcray CE, Gauderman WJ. Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome. Am J Epidemiol. 2012;175(3):203–7. discussion 208–209. This Invited Commentary discusses recent approaches to genome-wide environment interaction studies with special reference to findings from two recent studies in the same issue of the journal (Cornelis et al. 2012 and Mukherjee et al. 2012).PubMedCentralPubMed
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Zurück zum Zitat Franks PW. Gene x environment interactions in type 2 diabetes. Curr Diab Rep. 2011;11(6):552–61.PubMed Franks PW. Gene x environment interactions in type 2 diabetes. Curr Diab Rep. 2011;11(6):552–61.PubMed
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Zurück zum Zitat Khoury MJ, Wacholder S. Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies–challenges and opportunities. Am J Epidemiol. 2009;169(2):227–30. discussion 234-225.PubMedCentralPubMed Khoury MJ, Wacholder S. Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies–challenges and opportunities. Am J Epidemiol. 2009;169(2):227–30. discussion 234-225.PubMedCentralPubMed
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Zurück zum Zitat Mukherjee B, Ahn J, Gruber SB, Chatterjee N. Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons. Am J Epidemiol. 2012;175(3):177–90. This article presents a comparative simulation study of power and type I error properties of several statistical methods for genome-wide environment interaction testing. Importance of the findings are reviewed by Thomas et al. 2012 in the same issue of the Journal. PubMedCentralPubMed Mukherjee B, Ahn J, Gruber SB, Chatterjee N. Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons. Am J Epidemiol. 2012;175(3):177–90. This article presents a comparative simulation study of power and type I error properties of several statistical methods for genome-wide environment interaction testing. Importance of the findings are reviewed by Thomas et al. 2012 in the same issue of the Journal. PubMedCentralPubMed
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Zurück zum Zitat Cornelis MC, Tchetgen Tchetgen EJ, Liang L, et al. Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes. Am J Epidemiol. 2012;175(3):191–202. This study compares the performance of several statistical methods for testing gene-environment interactions in the context of GWAS using two case-control GWAS of type 2 diabetes. The importance of the findings are reviewed by Thomas et al. 2012 in the same issue of the Journal.PubMedCentralPubMed Cornelis MC, Tchetgen Tchetgen EJ, Liang L, et al. Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes. Am J Epidemiol. 2012;175(3):191–202. This study compares the performance of several statistical methods for testing gene-environment interactions in the context of GWAS using two case-control GWAS of type 2 diabetes. The importance of the findings are reviewed by Thomas et al. 2012 in the same issue of the Journal.PubMedCentralPubMed
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Zurück zum Zitat Ordovas JM, Tai ES. Why study gene-environment interactions? Curr Opin Lipidol. 2008;19(2):158–67.PubMed Ordovas JM, Tai ES. Why study gene-environment interactions? Curr Opin Lipidol. 2008;19(2):158–67.PubMed
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Zurück zum Zitat Nemoto M, Sasaki T, Deeb SS, Fujimoto WY, Tajima N. Differential effect of PPARgamma2 variants in the development of type 2 diabetes between native Japanese and Japanese Americans. Diabetes Res Clin Pract. 2002;57(2):131–7.PubMed Nemoto M, Sasaki T, Deeb SS, Fujimoto WY, Tajima N. Differential effect of PPARgamma2 variants in the development of type 2 diabetes between native Japanese and Japanese Americans. Diabetes Res Clin Pract. 2002;57(2):131–7.PubMed
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Zurück zum Zitat Fisher E, Schreiber S, Joost HG, Boeing H, Doring F. A two-step association study identifies CAV2 rs2270188 single nucleotide polymorphism interaction with fat intake in type 2 diabetes risk. J Nutr. 2011;141(2):177–81.PubMed Fisher E, Schreiber S, Joost HG, Boeing H, Doring F. A two-step association study identifies CAV2 rs2270188 single nucleotide polymorphism interaction with fat intake in type 2 diabetes risk. J Nutr. 2011;141(2):177–81.PubMed
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Metadaten
Titel
Gene-Diet Interactions in Type 2 Diabetes
verfasst von
Marilyn C. Cornelis
Publikationsdatum
01.12.2014
Verlag
Springer US
Erschienen in
Current Nutrition Reports / Ausgabe 4/2014
Elektronische ISSN: 2161-3311
DOI
https://doi.org/10.1007/s13668-014-0095-1

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