Literature DB >> 18484902

Prevalence and heritability of clusters for diagnostic components of metabolic syndrome: the Oman family study.

Juan C Lopez-Alvarenga1, Carolina Solís-Herrera, Jack W Kent, Deepali Jaju, Sulayma Albarwani, Saheed Al Yahyahee, M Osman Hassan, Riad Bayoumi, Anthony G Comuzzie.   

Abstract

BACKGROUND: Prevalence and heritability of metabolic syndrome (MetS) vary between populations according to the currently used criteria. We examined combinations for joint probabilities and heritabilities of MetS criteria from the National Cholesterol Education Program Adult Treatment Panel III (NCEP), World Health Organization (WHO), and International Diabetes Federation (IDF) in a sample of Omani families.
METHODS: We included 1277 subjects from 5 pedigrees. The likelihood ratio of diagnostic cluster dependence over clustering by chance was LDep = P(dependent)/P(independent). Heritabilities were adjusted by sex and age.
RESULTS: The highest LDep were central obesity (CO) + high glucose level (HGl) + triglycerides (IDF, 3.08; NCEP, 4.38; WHO, 3.17; P < 0.001). Triglycerides combined with any other component were the most common cluster. The lowest LDep for IDF were high blood pressure (HBP) + CO + low HDL-C (1.21, P < 0.025); for NCEP were HBP + HGl + low HDL-C (1.21, P < 0.07). These components were gathered almost by chance alone. In contrast, the lowest LDep for WHO were HGl + CO + low HDL-C (2.01, P < 0.001). The WHO criteria yielded the highest heritability for a MetS diagnosis (h(2) = 0.9), followed by NCEP (0.48) and IDF (0.38). The rationale of the MetS diagnostics is based on insulin resistance. This base would be lost if we continue lowering cut-off points for diagnosis for increasing the sensitivity. The WHO showed the highest values for LDep for all components because they used the highest cut-off points.

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Year:  2008        PMID: 18484902     DOI: 10.1089/met.2007.0039

Source DB:  PubMed          Journal:  Metab Syndr Relat Disord        ISSN: 1540-4196            Impact factor:   1.894


  5 in total

1.  Polyunsaturated fatty acids effect on serum triglycerides concentration in the presence of metabolic syndrome components. The Alaska-Siberia Project.

Authors:  Juan C Lopez-Alvarenga; Sven O E Ebbesson; Lars O E Ebbesson; M Elizabeth Tejero; V Saroja Voruganti; Anthony G Comuzzie
Journal:  Metabolism       Date:  2009-09-18       Impact factor: 8.694

2.  Analysis of multiple phenotypes.

Authors:  Jack W Kent
Journal:  Genet Epidemiol       Date:  2009       Impact factor: 2.135

3.  Genome-wide association study identifies African-ancestry specific variants for metabolic syndrome.

Authors:  Fasil Tekola-Ayele; Ayo P Doumatey; Daniel Shriner; Amy R Bentley; Guanjie Chen; Jie Zhou; Olufemi Fasanmade; Thomas Johnson; Johnnie Oli; Godfrey Okafor; Benjami A Eghan; Kofi Agyenim-Boateng; Clement Adebamowo; Albert Amoah; Joseph Acheampong; Adebowale Adeyemo; Charles N Rotimi
Journal:  Mol Genet Metab       Date:  2015-10-23       Impact factor: 4.797

Review 4.  Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine.

Authors:  Ayo P Doumatey; Kenneth Ekoru; Adebowale Adeyemo; Charles N Rotimi
Journal:  Curr Diab Rep       Date:  2019-09-14       Impact factor: 4.810

5.  Heritability and genetic correlation between GERD symptoms severity, metabolic syndrome, and inflammation markers in families living in Mexico City.

Authors:  Arturo Reding-Bernal; Valentin Sánchez-Pedraza; Hortensia Moreno-Macías; Sergio Sobrino-Cossio; María Elizabeth Tejero-Barrera; Ana Isabel Burguete-García; Mireya León-Hernández; María Fabiola Serratos-Canales; Ravindranath Duggirala; Juan Carlos López-Alvarenga
Journal:  PLoS One       Date:  2017-06-05       Impact factor: 3.240

  5 in total

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