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Genotype-phenotype Associations in Obesity Dependent on Definition of the Obesity Phenotype

Overview
Journal Obes Facts
Publisher Karger
Specialty Endocrinology
Date 2010 Jan 8
PMID 20054173
Citations 21
Authors
Affiliations
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Abstract

Objective: In previous studies of associations of variants in the genes UCP2, UCP3, PPARG2, CART, GRL, MC4R, MKKS, SHP, GHRL, and MCHR1 with obesity, we have used a case-control approach with cases defined by a threshold for BMI. In the present study, we assess the association of seven abdominal, peripheral, and overall obesity phenotypes, which were analyzed quantitatively, and thirteen candidate gene polymorphisms in these ten genes in the same cohort.

Methods: Obese Caucasian men (n = 234, BMI >or= 31.0 kg/m(2)) and a randomly sampled non-obese group (n = 323), originally identified at the draft board examinations, were re-examined at median ages of 47.0 or 49.0 years by anthropometry and DEXA scanning. Obesity phenotypes included BMI, fat body mass index, waist circumference, waist for given BMI, intra-abdominal adipose tissue, hip circumference and lower body fat mass (%). Using logistic regression models, we estimated the odds for defined genotypes (dominant or recessive genetic transmission) in relation to z-scores of the phenotypes.

Results: The minor (rare) allele for SHP 512G>C (rs6659176) was associated with increased hip circumference. The minor allele for UCP2 Ins45bp was associated with increased BMI, increased abdominal obesity, and increased hip circumference. The minor allele for UCP2 -866G>A (rs6593669) was associated with borderline increased fat body mass index. The minor allele for MCHR1 100213G>A (rs133072) was associated with reduced abdominal obesity. None of the other genotype-phenotype combinations showed appreciable associations.

Conclusion: If replicated in independent studies with focus on the specific phenotypes, our explorative studies suggest significant associations between some candidate gene polymorphisms and distinct obesity phenotypes, predicting beneficial and detrimental effects, depending on compartments for body fat accumulation.

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References
1.
Larsen L, Gjesing A, Sorensen T, Hamid Y, Echwald S, Toubro S . Mutation analysis of the preproghrelin gene: no association with obesity and type 2 diabetes. Clin Biochem. 2005; 38(5):420-4. DOI: 10.1016/j.clinbiochem.2005.01.008. View

2.
Kaprio J, Eriksson J, Lehtovirta M, Koskenvuo M, Tuomilehto J . Heritability of leptin levels and the shared genetic effects on body mass index and leptin in adult Finnish twins. Int J Obes Relat Metab Disord. 2001; 25(1):132-7. DOI: 10.1038/sj.ijo.0801526. View

3.
Buemann B, Sorensen T, Pedersen O, Black E, Holst C, Toubro S . Lower-body fat mass as an independent marker of insulin sensitivity--the role of adiponectin. Int J Obes (Lond). 2005; 29(6):624-31. DOI: 10.1038/sj.ijo.0802929. View

4.
Black E, Petersen L, Kreutzer M, Toubro S, Sorensen T, Pedersen O . Fat mass measured by DXA varies with scan velocity. Obes Res. 2002; 10(2):69-77. DOI: 10.1038/oby.2002.12. View

5.
Bigaard J, Tjonneland A, Thomsen B, Overvad K, Heitmann B, Sorensen T . Waist circumference, BMI, smoking, and mortality in middle-aged men and women. Obes Res. 2003; 11(7):895-903. DOI: 10.1038/oby.2003.123. View