Yokum Sonja, Marti C Nathan, Smolen Andrew, Stice Eric
Oregon Research Institute, 1776 Millrace Drive, Eugene, OR 97403, USA.
Oregon Research Institute, 1776 Millrace Drive, Eugene, OR 97403, USA.
Appetite. 2015 Apr;87:38-45. doi: 10.1016/j.appet.2014.12.202. Epub 2014 Dec 15.
Because food intake exerts its rewarding effect by increasing dopamine (DA) signaling in reward circuitry, it theoretically follows that individuals with a greater number of genotypes putatively associated with high DA signaling capacity are at increased risk for overeating and subsequent weight gain. We tested the association between the multilocus genetic composite risk score, defined by the total number of genotypes putatively associated with greater DA signaling capacity (i.e. TaqIA A2 allele, DRD2-141C Ins/Del and Del/Del genotypes, DRD4-S allele, DAT1-S allele, and COMT Val/Val genotype), and future increases in Body Mass Index (BMI) in three prospective studies. Participants in Study 1 (N = 30; M age = 15.2; M baseline BMI = 26.9), Study 2 (N = 34; M age = 20.9; M baseline BMI = 28.2), and Study 3 (N = 162; M age = 15.3, M baseline BMI = 20.8) provided saliva samples from which epithelial cells were collected, permitting DNA extraction. The multilocus genetic composite risk score was associated with future increases in BMI in all three studies (Study 1, r = 0.37; Study 2, r = 0.22; Study 3, r = 0.14) and the overall sample (r = 0.19). DRD4-S was associated with increases in BMI in Study 1 (r = 0.42), Study 2 (r = 0.27), and in the overall sample (r = 0.17). DAT1-S was associated with increases in BMI in Study 3 (r = 0.17) and in the overall sample (r = 0.12). There were no associations between the other genotypes (TaqIA, COMT, and DRD2-141C) and change in BMI over 2-year follow-up. Data suggest that individuals with a genetic propensity for greater DA signaling capacity are at risk for future weight gain and that combining alleles that theoretically have a similar function may provide a more reliable method of modeling genetic risk associated with future weight gain than individual genotypes.
由于食物摄入通过增加奖赏回路中的多巴胺(DA)信号来发挥其奖赏作用,从理论上来说,具有更多假定与高DA信号能力相关基因型的个体,暴饮暴食及随后体重增加的风险会更高。我们在三项前瞻性研究中测试了多基因座遗传综合风险评分(由假定与更高DA信号能力相关的基因型总数定义,即TaqIA A2等位基因、DRD2 - 141C插入/缺失和缺失/缺失基因型、DRD4 - S等位基因、DAT1 - S等位基因以及COMT Val/Val基因型)与未来体重指数(BMI)增加之间的关联。研究1的参与者(N = 30;平均年龄 = 15.2岁;基线BMI平均值 = 26.9)、研究2的参与者(N = 34;平均年龄 = 20.9岁;基线BMI平均值 = 28.2)以及研究3的参与者(N = 162;平均年龄 = 15.3岁,基线BMI平均值 = 20.8)提供了唾液样本,从中收集上皮细胞以进行DNA提取。在所有三项研究(研究1,r = 0.37;研究2,r = 0.22;研究3,r = 0.14)以及总体样本(r = 0.19)中,多基因座遗传综合风险评分均与未来BMI的增加相关。在研究1(r = 0.42)、研究2(r = 0.27)以及总体样本(r = 0.17)中,DRD4 - S与BMI的增加相关。在研究3(r = 0.17)以及总体样本(r = 0.12)中,DAT1 - S与BMI的增加相关。在另外的基因型(TaqIA、COMT和DRD2 - 141C)与两年随访期间BMI的变化之间未发现关联。数据表明,具有更高DA信号能力遗传倾向的个体存在未来体重增加的风险,并且组合理论上具有相似功能的等位基因,可能比单个基因型提供一种更可靠的方法来模拟与未来体重增加相关的遗传风险。