Literature DB >> 18853134

The search for putative unifying genetic factors for components of the metabolic syndrome.

M Sjögren1, V Lyssenko, A Jonsson, G Berglund, P Nilsson, L Groop, M Orho-Melander.   

Abstract

AIMS/HYPOTHESIS: The metabolic syndrome is a cluster of factors contributing to increased risk of cardiovascular disease and type 2 diabetes but unifying mechanisms have not been identified. Our aim was to study whether common variations in 17 genes previously associated with type 2 diabetes or components of the metabolic syndrome and variants in nine genes with inconsistent association with at least two components of the metabolic syndrome would also predict future development of components of the metabolic syndrome, individually or in combination.
METHODS: Genetic variants were studied in a large prospective study of 16,143 non-diabetic individuals (mean follow-up time 23 years) from the Malmö Preventive Project. In this study, development of at least three of obesity (BMI >or= 30 kg/m(2)), dyslipidaemia (triacylglycerol >or= 1.7 mmol/l and/or lipid-lowering treatment), hypertension (blood pressure >or= 140/90 mmHg and/or antihypertensive medication) and hyperglycaemia (fasting plasma glucose >or= 5.6 mmol/l and/or known diabetes) was defined as development of the metabolic syndrome. The risk of developing at least three components of the metabolic syndrome or the individual components was calculated by logistic regression adjusted for age at baseline, follow-up time and sex.
RESULTS: Polymorphisms in TCF7L2 (rs7903146, OR 1.10, 95% CI 1.04-1.17, p = 0.00097), FTO (rs9939609, OR 1.08, 95% CI 1.02-1.14, p = 0.0065), WFS1 (rs10010131, OR 1.07, 95% CI 1.02-1.13, p = 0.0078) and IGF2BP2 (rs4402960, OR 1.07, 95% CI 1.01-1.13, p = 0.021) predicted the development of at least three components of the metabolic syndrome in both univariate and multivariate analysis; in the case of TCF7L2, WFS1 and IGF2BP this was due to their association with hyperglycaemia (p < 0.00001, p = 0.0033 and p = 0.027, respectively) and for FTO it was due to its association with obesity (p = 0.004). A polymorphism in the GCKR gene predicted dyslipidaemia (rs1260326, OR 1.15, 95% CI 1.09-1.22, p < 0.00001) but not the metabolic syndrome. None of the studied polymorphisms was associated with more than two components of the metabolic syndrome. A composite genotype score of the 17 polymorphisms associated with type 2 diabetes predicted the development of at least three components of the metabolic syndrome (OR 1.04, p < 0.00001) and the development of hyperglycaemia (OR 1.06, p < 0.00001). Carriers of >or=19 risk alleles had 51 and 72% increased risk of developing at least three components of the metabolic syndrome and hyperglycaemia, respectively, compared with carriers of <or=12 risk alleles (p < 0.00001 for both). CONCLUSIONS/
INTERPRETATION: Polymorphisms in susceptibility genes for type 2 diabetes (TCF7L2, WFS1, IGF2BP2) and obesity (FTO) predispose to the metabolic syndrome by increasing the risk of one specific component of the metabolic syndrome. The findings argue against a unifying genetic component for the metabolic syndrome.

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Year:  2008        PMID: 18853134     DOI: 10.1007/s00125-008-1151-4

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  52 in total

1.  Polymorphism in the beta(1)-adrenergic receptor gene and hypertension.

Authors:  K Bengtsson; O Melander; M Orho-Melander; U Lindblad; J Ranstam; L Råstam; L Groop
Journal:  Circulation       Date:  2001-07-10       Impact factor: 29.690

2.  Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome?

Authors:  B Benyamin; T I A Sørensen; K Schousboe; M Fenger; P M Visscher; K O Kyvik
Journal:  Diabetologia       Date:  2007-07-12       Impact factor: 10.122

3.  Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes.

Authors:  Struan F A Grant; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Andrei Manolescu; Jesus Sainz; Agnar Helgason; Hreinn Stefansson; Valur Emilsson; Anna Helgadottir; Unnur Styrkarsdottir; Kristinn P Magnusson; G Bragi Walters; Ebba Palsdottir; Thorbjorg Jonsdottir; Thorunn Gudmundsdottir; Arnaldur Gylfason; Jona Saemundsdottir; Robert L Wilensky; Muredach P Reilly; Daniel J Rader; Yu Bagger; Claus Christiansen; Vilmundur Gudnason; Gunnar Sigurdsson; Unnur Thorsteinsdottir; Jeffrey R Gulcher; Augustine Kong; Kari Stefansson
Journal:  Nat Genet       Date:  2006-01-15       Impact factor: 38.330

4.  Cardiovascular morbidity and mortality associated with the metabolic syndrome.

Authors:  B Isomaa; P Almgren; T Tuomi; B Forsén; K Lahti; M Nissén; M R Taskinen; L Groop
Journal:  Diabetes Care       Date:  2001-04       Impact factor: 19.112

5.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

6.  Gly972Arg variant in the insulin receptor substrate-1 gene and association with Type 2 diabetes: a meta-analysis of 27 studies.

Authors:  A Jellema; M P A Zeegers; E J M Feskens; P C Dagnelie; R P Mensink
Journal:  Diabetologia       Date:  2003-06-18       Impact factor: 10.122

7.  Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

Authors:  Sekar Kathiresan; Olle Melander; Candace Guiducci; Aarti Surti; Noël P Burtt; Mark J Rieder; Gregory M Cooper; Charlotta Roos; Benjamin F Voight; Aki S Havulinna; Björn Wahlstrand; Thomas Hedner; Dolores Corella; E Shyong Tai; Jose M Ordovas; Göran Berglund; Erkki Vartiainen; Pekka Jousilahti; Bo Hedblad; Marja-Riitta Taskinen; Christopher Newton-Cheh; Veikko Salomaa; Leena Peltonen; Leif Groop; David M Altshuler; Marju Orho-Melander
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

8.  Variants of ENPP1 are associated with childhood and adult obesity and increase the risk of glucose intolerance and type 2 diabetes.

Authors:  David Meyre; Nabila Bouatia-Naji; Agnès Tounian; Chantal Samson; Cécile Lecoeur; Vincent Vatin; Maya Ghoussaini; Christophe Wachter; Serge Hercberg; Guillaume Charpentier; Wolfgang Patsch; François Pattou; Marie-Aline Charles; Patrick Tounian; Karine Clément; Béatrice Jouret; Jacques Weill; Betty A Maddux; Ira D Goldfine; Andrew Walley; Philippe Boutin; Christian Dina; Philippe Froguel
Journal:  Nat Genet       Date:  2005-07-17       Impact factor: 38.330

9.  Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Michael N Weedon; Cecilia M Lindgren; Timothy M Frayling; Katherine S Elliott; Hana Lango; Nicholas J Timpson; John R B Perry; Nigel W Rayner; Rachel M Freathy; Jeffrey C Barrett; Beverley Shields; Andrew P Morris; Sian Ellard; Christopher J Groves; Lorna W Harries; Jonathan L Marchini; Katharine R Owen; Beatrice Knight; Lon R Cardon; Mark Walker; Graham A Hitman; Andrew D Morris; Alex S F Doney; Mark I McCarthy; Andrew T Hattersley
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

10.  Newly identified loci that influence lipid concentrations and risk of coronary artery disease.

Authors:  Cristen J Willer; Serena Sanna; Anne U Jackson; Angelo Scuteri; Lori L Bonnycastle; Robert Clarke; Simon C Heath; Nicholas J Timpson; Samer S Najjar; Heather M Stringham; James Strait; William L Duren; Andrea Maschio; Fabio Busonero; Antonella Mulas; Giuseppe Albai; Amy J Swift; Mario A Morken; Narisu Narisu; Derrick Bennett; Sarah Parish; Haiqing Shen; Pilar Galan; Pierre Meneton; Serge Hercberg; Diana Zelenika; Wei-Min Chen; Yun Li; Laura J Scott; Paul A Scheet; Jouko Sundvall; Richard M Watanabe; Ramaiah Nagaraja; Shah Ebrahim; Debbie A Lawlor; Yoav Ben-Shlomo; George Davey-Smith; Alan R Shuldiner; Rory Collins; Richard N Bergman; Manuela Uda; Jaakko Tuomilehto; Antonio Cao; Francis S Collins; Edward Lakatta; G Mark Lathrop; Michael Boehnke; David Schlessinger; Karen L Mohlke; Gonçalo R Abecasis
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

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  22 in total

1.  Genetic variants in FTO associated with metabolic syndrome: a meta- and gene-based analysis.

Authors:  Haina Wang; Shuqian Dong; Hui Xu; Jun Qian; Jingyun Yang
Journal:  Mol Biol Rep       Date:  2011-12-22       Impact factor: 2.316

2.  Common variant (rs9939609) in the FTO gene is associated with metabolic syndrome.

Authors:  Donghao Zhou; Hongjun Liu; Ming'ai Zhou; Shengxiang Wang; Jingling Zhang; Lin Liao; Fang He
Journal:  Mol Biol Rep       Date:  2012-02-07       Impact factor: 2.316

3.  Association of gene polymorphism of the fat mass and obesity associated gene with metabolic syndrome: a retrospective cohort study in Japanese workers.

Authors:  Tomoka Kawajiri; Yoneatsu Osaki; Takuji Kishimoto
Journal:  Yonago Acta Med       Date:  2012-06-30       Impact factor: 1.641

Review 4.  Genetic susceptibility to type 2 diabetes and implications for therapy.

Authors:  Jose C Florez
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

5.  IGF2BP1, IGF2BP2 and IGF2BP3 genotype, haplotype and genetic model studies in metabolic syndrome traits and diabetes.

Authors:  S Rodriguez; G Eiriksdottir; T R Gaunt; T B Harris; L J Launer; V Gudnason; I N M Day
Journal:  Growth Horm IGF Res       Date:  2010-08       Impact factor: 2.372

6.  Genome-wide screen for metabolic syndrome susceptibility Loci reveals strong lipid gene contribution but no evidence for common genetic basis for clustering of metabolic syndrome traits.

Authors:  Kati Kristiansson; Markus Perola; Emmi Tikkanen; Johannes Kettunen; Ida Surakka; Aki S Havulinna; Alena Stancáková; Chris Barnes; Elisabeth Widen; Eero Kajantie; Johan G Eriksson; Jorma Viikari; Mika Kähönen; Terho Lehtimäki; Olli T Raitakari; Anna-Liisa Hartikainen; Aimo Ruokonen; Anneli Pouta; Antti Jula; Antti J Kangas; Pasi Soininen; Mika Ala-Korpela; Satu Männistö; Pekka Jousilahti; Lori L Bonnycastle; Marjo-Riitta Järvelin; Johanna Kuusisto; Francis S Collins; Markku Laakso; Matthew E Hurles; Aarno Palotie; Leena Peltonen; Samuli Ripatti; Veikko Salomaa
Journal:  Circ Cardiovasc Genet       Date:  2012-03-07

7.  Genetic associations with metabolic syndrome and its quantitative traits by race/ethnicity in the United States.

Authors:  Jason L Vassy; Peter Shrader; Quanhe Yang; Tiebin Liu; Ajay Yesupriya; Man-Huei Chang; Nicole F Dowling; Renée M Ned; Josée Dupuis; Jose C Florez; Muin J Khoury; James B Meigs
Journal:  Metab Syndr Relat Disord       Date:  2011-08-17       Impact factor: 1.894

8.  The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation.

Authors:  R K Simmons; K G M M Alberti; E A M Gale; S Colagiuri; J Tuomilehto; Q Qiao; A Ramachandran; N Tajima; I Brajkovich Mirchov; A Ben-Nakhi; G Reaven; B Hama Sambo; S Mendis; G Roglic
Journal:  Diabetologia       Date:  2009-12-11       Impact factor: 10.122

9.  Association of rs780094 in GCKR with metabolic traits and incident diabetes and cardiovascular disease: the ARIC Study.

Authors:  Mark Bi; Wen Hong Linda Kao; Eric Boerwinkle; Ron C Hoogeveen; Laura J Rasmussen-Torvik; Brad C Astor; Kari E North; Josef Coresh; Anna Köttgen
Journal:  PLoS One       Date:  2010-07-22       Impact factor: 3.240

10.  Human Insulin Growth Factor 2 mRNA Binding Protein 2 Increases MicroRNA 33a/b Inhibition of Liver ABCA1 Expression and Alters Low-Density Apolipoprotein Levels in Mice.

Authors:  Muhua Yang; Christina Gallo-Ebert; Michael Hayward; Weidong Liu; Virginia McDonough; Joseph T Nickels
Journal:  Mol Cell Biol       Date:  2020-07-29       Impact factor: 4.272

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