Literature DB >> 20415562

Role of genetic variation in the cannabinoid type 1 receptor gene (CNR1) in the pathophysiology of human obesity.

Dorit Schleinitz1, Solveig Carmienke, Yvonne Böttcher, Anke Tönjes, Janin Berndt, Nora Klöting, Beate Enigk, Ines Müller, Kerstin Dietrich, Jana Breitfeld, Gerhard H Scholz, Stefan Engeli, Michael Stumvoll, Matthias Blüher, Peter Kovacs.   

Abstract

AIMS: The endocannabinoid system may contribute to the association of visceral fat accumulation with metabolic diseases. Here we investigated the effects of genetic variation in the cannabinoid type 1 receptor gene (CNR1) on its mRNA expression in adipose tissue from visceral and subcutaneous depots and on the development of obesity. MATERIALS &
METHODS: CNR1 was sequenced in 48 nonrelated German Caucasians to detect genetic variation. Five representative variants including HapMap tagging SNPs (rs12720071, rs806368, rs806370, rs1049353 and rs806369) were genotyped for subsequent association studies in two independent cohorts (total n = 2774) with detailed metabolic testing: subjects from the Leipzig Study (n = 1857) and a self-contained population of Sorbs from Germany (n = 917).
RESULTS: In a case-control study of lean (BMI <25 kg/m(2)) versus obese (BMI >30 kg/m(2)) subjects, rs806368 was found to be nominally associated with obesity in the Sorbian cohort (adjusted p < 0.05), but not in the Leipzig cohort. Also, several SNPs (rs806368, rs806370 and rs12720071) were nominally associated with serum leptin levels (p < 0.05 after adjusting for age, sex and BMI). However, none of these associations remained significant after accounting for multiple testing. Furthermore, none of the SNPs were related to CNR1 mRNA expression in visceral and subcutaneous fat.
CONCLUSION: The data suggest that common genetic variation in the CNR1 gene does not influence mRNA expression in adipose tissue nor does it play a significant role in the pathophysiology of obesity in German and Sorbian populations.

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Year:  2010        PMID: 20415562     DOI: 10.2217/pgs.10.42

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  10 in total

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Authors:  Krishna R Veeramah; Anke Tönjes; Peter Kovacs; Arnd Gross; Daniel Wegmann; Patrick Geary; Daniela Gasperikova; Iwar Klimes; Markus Scholz; John Novembre; Michael Stumvoll
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Journal:  Transl Psychiatry       Date:  2013-06-25       Impact factor: 6.222

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Journal:  Mol Genet Genomic Med       Date:  2014-07-10       Impact factor: 2.183

10.  Development of an AmpliSeqTM Panel for Next-Generation Sequencing of a Set of Genetic Predictors of Persisting Pain.

Authors:  Dario Kringel; Mari A Kaunisto; Catharina Lippmann; Eija Kalso; Jörn Lötsch
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  10 in total

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