Department of Medical Genetics, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
Mol Genet Metab. 2011 May;103(1):71-5. doi: 10.1016/j.ymgme.2011.01.007. Epub 2011 Jan 22.
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 1.14-1.77, P=0.002). Furthermore, we found this SNP to be associated with BMI (B=0.92, 95% CI 0.19-1.65, P=0.01) and body weight (B=2.44, 95% CI 0.28-4.60, P=0.03). In addition, we could also detect an association between rs11872992 and complex obesity (odds ratio=0.74, 95% CI 0.57-0.98, 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.
最近,全基因组关联研究发现了几个参与复杂肥胖病因的单核苷酸多态性(SNP)。一种已知参与单基因肥胖的黑素皮质素 4 受体基因(MC4R)下游的变体,与 BMI 高度相关。在本研究中,我们对之前报道的 SNP rs17782313 进行了复制研究。我们还将 MC4R 基因区域的 3 个标记 SNP(rs8087522、rs11872992 和 rs1943226)纳入研究,以了解该基因在复杂肥胖中的作用。我们对 1049 名肥胖病例(平均 BMI=38.2±6.2)和 312 名健康瘦个体(平均 BMI 22.0±1.7)的所有 4 个 SNP 进行了基因分型。我们可以确认 rs17782313 在我们的人群中与复杂肥胖高度相关(优势比=1.42,95%置信区间 1.14-1.77,P=0.002)。此外,我们发现该 SNP 与 BMI(B=0.92,95%置信区间 0.19-1.65,P=0.01)和体重(B=2.44,95%置信区间 0.28-4.60,P=0.03)相关。此外,我们还可以检测到 rs11872992 与复杂肥胖之间的关联(优势比=0.74,95%置信区间 0.57-0.98,P=0.03)。通过条件分析,我们证明这种影响独立于 rs17782313 关联信号。rs8087522 和 rs1943226 与肥胖无关。总之,我们可以复制之前报道的 rs17782313 与复杂肥胖之间的关联。此外,我们的数据不支持 MC4R 中的 SNP 导致 rs17782313 关联信号的假设。