Etracker Debug:
	et_pagename = "Clinical Chemistry and Laboratory Medicine (CCLM)|cclm|C|[EN]"
	
        
Jump to ContentJump to Main Navigation

Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Editorial Board Member: Gillery, Philippe / Kazmierczak, Steven / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Schlattmann, Peter / Whitfield, John B.

12 Issues per year

IMPACT FACTOR 2013: 2.955
Rank 5 out of 29 in category Medical Laboratory Technology in the 2013 Thomson Reuters Journal Citation Report/Science Edition

VolumeIssuePage

Issues

Genotypes, obesity and type 2 diabetes – can genetic information motivate weight loss? A review

David Gable1 / Saskia C. Sanderson2 / Steve E. Humphries3

1.

2.

3.

Corresponding author: Steve E. Humphries, Centre for Cardiovascular Genetics, British Heart Foundation Laboratories, Royal Free & University College London Medical School, 5 University Street, London WC1E 6JF, UK Phone: +44-207-6796962, Fax: +44-107-6796212,

Citation Information: Clinical Chemical Laboratory Medicine. Volume 45, Issue 3, Pages 301–308, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: 10.1515/CCLM.2007.070, March 2007

Publication History

Received:
September 27, 2006
Accepted:
December 14, 2006

Abstract

The current worldwide prevalence of type 2 diabetes (T2D) was estimated to be 2.8% in 2000, but it is predicted to increase to epidemic proportions in the coming decades, primarily due to lifestyle changes, particularly obesity. In the United Kingdom there are over 1.4 million men and women with T2D. In addition to a strong environmental element, the existence of an underlying genetic component to T2D risk is supported by twin studies, family studies and the widely different T2D prevalence across ethnic groups. Here we review data showing that several common genetic risk variants for T2D have now been successfully identified, with modest, but meta-analytical robust effects on risk (in the region of 1.1–1.5-fold risk per allele). Use of these in combination may have clinical utility in identifying subjects at high risk. Whether this information will be motivating to make the type of lifestyle changes that have been shown to reduce the rate of progression from the pre-diabetes state to overt T2D is discussed.

Clin Chem Lab Med 2007;45:301–8.

Keywords: genetic testing; motivation; obesity; type 2 diabetes

Comments (0)

Please log in or register to comment.
Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.