BACKGROUND: Metabolic syndrome (MetS) is defined by a combination of abnormalities that are all individual risk factors for the development of type 2 diabetes and/or cardiovascular disease. The aetiology of MetS includes both an environmental and genetic component. We studied the prevalence and heritability of MetS and its individual components Dutch genetic isolate. METHODS: The Erasmus Rucphen Family study (ERF) consists of some 3000 genealogically documented individuals from a Dutch genetic isolate. Data on waist circumference (WC), blood pressure (BP), high density lipoprotein cholesterol (HDL-C), triglycerides (TG) and fasting plasma glucose values (FPG) are available. MetS was defined according to the International Diabetes Federation (IDF) (2003) and National Cholesterol Education program Adult Panel III (NCEP ATPIII) criteria. Variance component analysis was applied to extended family data to test for evidence of heritability. RESULTS: The prevalence of MetS in the ERF cohort ranged from 23-37% depending on MetS definition and gender considered. Low HDL-C and high WC are the main contributors to MetS. The heritability of MetS corrected for sibship effect was 10.6% (p = 0.01) according to IDF and 13.2% (p = 0.07) according to NCEP ATPIII criteria. In addition, the heritability of individual components of MetS were analysed and found to range from 21.9-42.9%. The highest heritability was found for HDL-C (42.9%, p<0.0001) and WC (37.8%, p<0.0001). In addition, WC, systolic BP, HDL-C and TG showed low to moderate genetic correlation (RhoG) between genders, whereas FPG and diastolic BP showed absolute genetic correlation between genders. CONCLUSION: Although the prevalence of MetS was high, the heritability of MetS in the ERF population was found to be moderate. The high heritability of the individual components of MetS indicates that the genetic dissection of MetS should be approached from its individual components.
BACKGROUND:Metabolic syndrome (MetS) is defined by a combination of abnormalities that are all individual risk factors for the development of type 2 diabetes and/or cardiovascular disease. The aetiology of MetS includes both an environmental and genetic component. We studied the prevalence and heritability of MetS and its individual components Dutch genetic isolate. METHODS: The Erasmus Rucphen Family study (ERF) consists of some 3000 genealogically documented individuals from a Dutch genetic isolate. Data on waist circumference (WC), blood pressure (BP), high density lipoprotein cholesterol (HDL-C), triglycerides (TG) and fasting plasma glucose values (FPG) are available. MetS was defined according to the International Diabetes Federation (IDF) (2003) and National Cholesterol Education program Adult Panel III (NCEP ATPIII) criteria. Variance component analysis was applied to extended family data to test for evidence of heritability. RESULTS: The prevalence of MetS in the ERF cohort ranged from 23-37% depending on MetS definition and gender considered. Low HDL-C and high WC are the main contributors to MetS. The heritability of MetS corrected for sibship effect was 10.6% (p = 0.01) according to IDF and 13.2% (p = 0.07) according to NCEP ATPIII criteria. In addition, the heritability of individual components of MetS were analysed and found to range from 21.9-42.9%. The highest heritability was found for HDL-C (42.9%, p<0.0001) and WC (37.8%, p<0.0001). In addition, WC, systolic BP, HDL-C and TG showed low to moderate genetic correlation (RhoG) between genders, whereas FPG and diastolic BP showed absolute genetic correlation between genders. CONCLUSION: Although the prevalence of MetS was high, the heritability of MetS in the ERF population was found to be moderate. The high heritability of the individual components of MetS indicates that the genetic dissection of MetS should be approached from its individual components.
Authors: Lisa de las Fuentes; Giovanni de Simone; Donna K Arnett; Víctor G Dávila-Román Journal: Endocr Metab Immune Disord Drug Targets Date: 2010-06 Impact factor: 2.895
Authors: A P Gjesing; C T Ekstrøm; H Eiberg; S A Urhammer; J J Holst; O Pedersen; T Hansen Journal: Diabetologia Date: 2012-02-15 Impact factor: 10.122
Authors: Iris M Heid; Peter Henneman; Andrew Hicks; Stefan Coassin; Thomas Winkler; Yurii S Aulchenko; Christian Fuchsberger; Kijoung Song; Marie-France Hivert; Dawn M Waterworth; Nicholas J Timpson; J Brent Richards; John R B Perry; Toshiko Tanaka; Najaf Amin; Barbara Kollerits; Irene Pichler; Ben A Oostra; Barbara Thorand; Rune R Frants; Thomas Illig; Josée Dupuis; Beate Glaser; Tim Spector; Jack Guralnik; Josephine M Egan; Jose C Florez; David M Evans; Nicole Soranzo; Stefania Bandinelli; Olga D Carlson; Timothy M Frayling; Keith Burling; George Davey Smith; Vincent Mooser; Luigi Ferrucci; James B Meigs; Peter Vollenweider; Ko Willems van Dijk; Peter Pramstaller; Florian Kronenberg; Cornelia M van Duijn Journal: Atherosclerosis Date: 2009-12-02 Impact factor: 5.162
Authors: Nasser M Al-Daghri; Omar S Al-Attas; Majed S Alokail; Khalid M Alkharfy; Shaun Louie B Sabico; George P Chrousos Journal: PLoS One Date: 2010-08-13 Impact factor: 3.240
Authors: A H Stam; B de Vries; A C J W Janssens; K R J Vanmolkot; Y S Aulchenko; P Henneman; B A Oostra; R R Frants; A M J M van den Maagdenberg; M D Ferrari; C M van Duijn; G M Terwindt Journal: Neurology Date: 2010-01-13 Impact factor: 9.910
Authors: Peter Henneman; Yurii S Aulchenko; Rune R Frants; Irina V Zorkoltseva; M Carola Zillikens; Marijke Frolich; Ben A Oostra; Ko Willems van Dijk; Cornelia M van Duijn Journal: Diabetes Care Date: 2010-01-12 Impact factor: 19.112