Genetic prediction of the metabolic syndrome

被引:4
|
作者
Lyssenko, V. [1 ]
Sjogren, M. [1 ]
Almgren, P. [1 ]
Anevski, D. [1 ,2 ]
Orho-Melander, M. [1 ]
Isomaa, B. [2 ]
Tuomi, T. [3 ,4 ,5 ]
Taskinen, M. -R. [3 ]
Groop, L. [1 ]
机构
[1] Lund Univ, Univ Hosp Malmo, Dept Clin Sci Diabet & Endocrinol, S-20502 Malmo, Sweden
[2] Fraunhofer Chalmers Ctr, Gothenburg, Sweden
[3] Folkhalsan Res Ctr, Helsinki, Finland
[4] Univ Helsinki, Cent Hosp, Dept Med, Helsinki Univ, Helsinki, Finland
[5] Univ Helsinki, Res Program Mol Med, Helsinki, Finland
关键词
Genetics; Metabolic syndrome; Prediction;
D O I
10.1016/j.dsx.2008.07.002
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The metabolic syndrome (MetS) is a constellation of factors associated with increased risk of cardiovascular disease (CVD) and type 2 diabetes (T2D). It has been difficult to identify an underlying unifying pathogenic mechanism for the different components. As the syndrome shows high heritability one way to search for such common mechanisms could to be to try to identify genetic variants contributing to MetS. Methods: In total 1937 of 2293 non-diabetic individuals participating in the Botnia prospective study were free of MetS at baseline (M/F: 873/1064; age 44 +/- 14 years; BMI 25 perpendicular to 4 kg/m(2); 25% had IFG or IGTor both). Variants in the peroxisome proliferator-activated receptor gamma (PPARG P12A), beta 1-, beta 2- and beta 3-adrenergic receptor (ADRB1 G389R; ADRB2 Q27E; ADRB3 W64R), adiponectin (APM1 SNP - 11,377 C > G, 276 G > T, I2019D), and PPARG co-activator-1 alpha (PPARGC1A G482S) genes were studied for their ability to predict MetS defined using the NCEP ATPIII criteria. We also repeated the analyses using the WHO and IDF criteria for defining MetS. Results: During a median 6-year follow-up, 267 (13.8%) persons developed MetS. The PPARG (PP) (HR 1.49 [1.10-3.01], P = 0.011) and the ADRB1 G389R (GG/GR) (1.43 [1.14-1.80], P = 0.0022) predicted future MetS. ADRB1 G389R and ADRB3W64R variants showed an interaction effect, implying that the MetS risk was further increased if an individual carried both GG/GR and RR/WR genotypes (2.02 [1.34-3.05], P < 0.001). Among the individual MetS components, the PP (PPARG) and GG/GR (ADRB1) genotypes were associated with increase in triglycerides (coefficient 0.016 and 0.0162, P < 0.05; respectively). In addition, the GG/GRgenotypes (coefficient 0.013, P = 0.036) were also associated with increase in fasting glucose concentrations over time. Variants in the ADRB2, APM1 and PPARGC1A genes did not influence risk of future MetS. Conclusion: We demonstrate in a prospective study that variants in the PPARG and ADRB1 genes predict development of MetS and that the risk conferred by the ADRB1 variant is further increased by variants in the ADRB3 gene. (C) 2008 Published by Elsevier Ltd on behalf of Diabetes India.
引用
收藏
页码:245 / 252
页数:8
相关论文
共 50 条
  • [1] Prediction of genetic risk for metabolic syndrome
    Yamada, Yoshiji
    Kato, Kimihiko
    Hibino, Takeshi
    Yokoi, Kiyoshi
    Matsuo, Hitoshi
    Segawa, Tomonori
    Watanabe, Sachiro
    Ichihara, Sahoko
    Yoshida, Hidemi
    Satoh, Kei
    Nozawa, Yoshinori
    [J]. ATHEROSCLEROSIS, 2007, 191 (02) : 298 - 304
  • [2] Prediction of genetic risk for metabolic syndrome
    Ichihara, Sahoko
    Yamada, Yoshiji
    Kato, Kimihiko
    Hibino, Takeshi
    Yokoi, Kiyoshi
    Matsuo, Hitoshi
    Segawa, Tomonori
    Watanabe, Sachiro
    Yoshida, Hidemi
    Satoh, Kei
    Nozawa, Yoshinori
    [J]. CIRCULATION, 2006, 114 (18) : 847 - 847
  • [3] Genetic prediction of the metabolic syndrome in the Botnia study
    Lyssenko, V
    Fredriksson, J
    Almgren, P
    Anevski, D
    Orho-Melander, M
    Sjögren, M
    Tuomi, T
    Taskinen, MR
    Groop, L
    [J]. DIABETOLOGIA, 2005, 48 : A94 - A94
  • [4] Identification of female-specific genetic variants for metabolic syndrome and its component traits to improve the prediction of metabolic syndrome in females
    Kong, Sokanha
    Cho, Yoon Shin
    [J]. BMC MEDICAL GENETICS, 2019, 20
  • [5] Genetic determinants of the metabolic syndrome
    Sale, Michele M.
    Woods, Jonathan
    Freedman, Barry I.
    [J]. CURRENT HYPERTENSION REPORTS, 2006, 8 (01) : 16 - 22
  • [6] Genetic determinants of the metabolic syndrome
    Michèle M. Sale
    Jonathan Woods
    Barry I. Freedman
    [J]. Current Hypertension Reports, 2006, 8 : 16 - 22
  • [7] Genetic determinants of the metabolic syndrome
    Pollex, Rebecca L.
    Hegele, Robert A.
    [J]. NATURE CLINICAL PRACTICE CARDIOVASCULAR MEDICINE, 2006, 3 (09): : 482 - 489
  • [8] Genetic risk for metabolic syndrome
    Yajima, K.
    Yamada, Y.
    Kato, K.
    Hibino, T.
    Yokoi, K.
    Watanabe, S.
    Ichihara, S.
    Nozawa, Y.
    Murohara, T.
    Kimura, G.
    [J]. EUROPEAN HEART JOURNAL, 2008, 29 : 91 - 91
  • [9] Genetic determinants of the metabolic syndrome
    Rebecca L Pollex
    Robert A Hegele
    [J]. Nature Clinical Practice Cardiovascular Medicine, 2006, 3 : 482 - 489
  • [10] Prediction of the metabolic syndrome status based on dietary and genetic parameters, using Random Forest
    Fabien Szabo de Edelenyi
    Louisa Goumidi
    Sandrine Bertrais
    Catherine Phillips
    Ross MacManus
    Helen Roche
    Richard Planells
    Denis Lairon
    [J]. Genes & Nutrition, 2008, 3 : 173 - 176