Publication
Title
Association study of **MC4R** with complex obesity and replication of the rs17782313 association signal
Author
Abstract
Recently, genome-wide association studies have discovered several single nucleotide polymorphisms (SNPs) involved in the etiology of complex obesity. A variant downstream from the melanocortin-4 receptor gene (MC4R), a gene known to be involved in monogenic obesity, was reported to be highly associated with BMI. In the present study, we performed a replication study with the previously reported SNP rs17782313. We also included 3 tagSNPs (rs8087522, rs11872992, and rs1943226) for the MC4R gene region in our study to understand the role of this gene in complex obesity. We genotyped all 4 SNPs in a population of 1049 obese cases (mean BMI = 38.2 ± 6.2) and 312 healthy lean individuals (mean BMI 22.0 ± 1.7). We could confirm that rs17782313 is highly associated with complex obesity in our population (odds ratio = 1.42, 95% CI 1.141.77, P = 0.002). Furthermore, we found this SNP to be associated with BMI (B = 0.92, 95% CI 0.191.65, P = 0.01) and body weight (B = 2.44, 95% CI 0.284.60, P = 0.03). In addition, we could also detect an association between rs11872992 and complex obesity (odds ratio = 0.74, 95% CI 0.570.98, P = 0.03). Through conditional analysis, we demonstrate that this effect is independent from the rs17782313 association signal. No associations with obesity could be found for rs8087522 and rs1943226. In conclusion, we could replicate the previously reported association between rs17782313 and complex obesity. Furthermore, our data do not support the hypothesis that a SNP in MC4R causes the rs17782313 association signal.
Language
English
Source (journal)
Molecular genetics and metabolism. - Orlando, Fla
Publication
Orlando, Fla : 2011
ISSN
1096-7192
Volume/pages
103:1(2011), p. 71-75
ISI
000290199100011
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 23.06.2011
Last edited 14.10.2017
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