Literature DB >> 17332787

Genetics of the metabolic syndrome.

Margarita Terán-García1, Claude Bouchard.   

Abstract

The concept of a metabolic syndrome (MetS), a cluster of pre-clinical metabolic alterations commonly associated with obesity, is the object of much debate. Genetic studies have the potential to contribute to some of the key questions, including the true nature of the cluster of pre-clinical features and whether it is associated with human genetic variation. This review summarizes the evidence for the presence of familial aggregation for the individual components of MetS and their heritability levels. It also provides an overview of the studies that have dealt with candidate genes for MetS. Potential leads from genome-wide linkage scans are also discussed. The assumption is made that obesity, ectopic fat deposition and abnormal adipose tissue metabolism are responsible for alterations in lipid metabolism, which in turn generates the commonly observed pre-clinical shifts in glucose tolerance, lipids and lipoprotein profile, blood pressure, inflammatory markers, endothelial function, and a prothrombotic state. Progress in the understanding of the genetic basis of MetS should occur as soon as a consensus is reached on the true nature of MetS, its components and diagnostic criteria.

Entities:  

Mesh:

Year:  2007        PMID: 17332787     DOI: 10.1139/h06-102

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  34 in total

1.  Chronic pain, overweight, and obesity: findings from a community-based twin registry.

Authors:  Lisa Johnson Wright; Ellen Schur; Carolyn Noonan; Sandra Ahumada; Dedra Buchwald; Niloofar Afari
Journal:  J Pain       Date:  2010-03-24       Impact factor: 5.820

Review 2.  The metabolic syndrome.

Authors:  Marc-Andre Cornier; Dana Dabelea; Teri L Hernandez; Rachel C Lindstrom; Amy J Steig; Nicole R Stob; Rachael E Van Pelt; Hong Wang; Robert H Eckel
Journal:  Endocr Rev       Date:  2008-10-29       Impact factor: 19.871

3.  Analysis of metabolic syndrome components in >15 000 african americans identifies pleiotropic variants: results from the population architecture using genomics and epidemiology study.

Authors:  Cara L Carty; Samsiddhi Bhattacharjee; Jeff Haessler; Iona Cheng; Lucia A Hindorff; Vanita Aroda; Christopher S Carlson; Chun-Nan Hsu; Lynne Wilkens; Simin Liu; Elizabeth Selvin; Rebecca Jackson; Kari E North; Ulrike Peters; James S Pankow; Nilanjan Chatterjee; Charles Kooperberg
Journal:  Circ Cardiovasc Genet       Date:  2014-07-14

4.  Gene expression profiling supports the role of Repin1 in the pathophysiology of metabolic syndrome.

Authors:  Jeanette Bahr; Nora Klöting; Ingrid Klöting; Niels Follak
Journal:  Endocrine       Date:  2011-06-24       Impact factor: 3.633

5.  miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling.

Authors:  Alberto Dávalos; Leigh Goedeke; Peter Smibert; Cristina M Ramírez; Nikhil P Warrier; Ursula Andreo; Daniel Cirera-Salinas; Katey Rayner; Uthra Suresh; José Carlos Pastor-Pareja; Enric Esplugues; Edward A Fisher; Luiz O F Penalva; Kathryn J Moore; Yajaira Suárez; Eric C Lai; Carlos Fernández-Hernando
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-16       Impact factor: 11.205

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

Authors:  M Sjögren; V Lyssenko; A Jonsson; G Berglund; P Nilsson; L Groop; M Orho-Melander
Journal:  Diabetologia       Date:  2008-10-14       Impact factor: 10.122

7.  WWOX gene is associated with HDL cholesterol and triglyceride levels.

Authors:  María E Sáez; Antonio González-Pérez; María T Martínez-Larrad; Javier Gayán; Luis M Real; Manuel Serrano-Ríos; Agustín Ruiz
Journal:  BMC Med Genet       Date:  2010-10-14       Impact factor: 2.103

Review 8.  MicroRNAs: a new piece in the paediatric cardiovascular disease puzzle.

Authors:  Ahmed Omran; Dalia Elimam; Keith A Webster; Lina A Shehadeh; Fei Yin
Journal:  Cardiol Young       Date:  2013-02-26       Impact factor: 1.093

9.  Defining genetic determinants of the Metabolic Syndrome in the Framingham Heart Study using association and structural equation modeling methods.

Authors:  Nora L Nock; Xuefeng Wang; Cheryl L Thompson; Yeunjoo Song; Dan Baechle; Paola Raska; Catherine M Stein; Courtney Gray-McGuire
Journal:  BMC Proc       Date:  2009-12-15

10.  Multivariate association analysis of the components of metabolic syndrome from the Framingham Heart Study.

Authors:  Allison R Baker; Robert J Goodloe; Emma K Larkin; Dan J Baechle; Yeunjoo E Song; Lynette S Phillips; Courtney L Gray-McGuire
Journal:  BMC Proc       Date:  2009-12-15
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