Dinescu Diana, Horn Erin E, Duncan Glen, Turkheimer Eric
Department of Psychology, University of Virginia.
Department of Epidemiology, Nutritional Sciences Program, University of Washington.
Health Psychol. 2016 Feb;35(2):157-66. doi: 10.1037/hea0000255. Epub 2015 Sep 7.
Individual measures of socioeconomic status (SES) suppress genetic variance in body mass index (BMI). Our objective was to examine the influence of both individual-level (i.e., educational attainment, household income) and macrolevel (i.e., neighborhood socioeconomic advantage) SES indicators on genetic contributions to BMI.
The study used education level data from 4,162 monozygotic (MZ) and 1,900 dizygotic (DZ) same-sex twin pairs (64% female), income level data from 3,498 MZ and 1,534 DZ pairs (65% female), and neighborhood-level socioeconomic deprivation data from 2,327 MZ and 948 DZ pairs (65% female). Covariates included age (M = 40.4 ± 17.5 years), sex, and ethnicity. The cotwin control model was used to evaluate the mechanisms through which SES influences BMI (e.g., through genetic vs. environmental pathways), and a gene-by-environment interaction model was used to test whether residual variance in BMI, after controlling for the main effects of SES, was moderated by socioeconomic measures.
SES significantly predicted BMI. The association was noncausal, however, and instead was driven primarily through a common underlying genetic background that tended to grow less influential as SES increased. After controlling for the main effect of SES, both genetic and nonshared environmental variance decreased with increasing SES.
The impact of individual and macrolevel SES on BMI extends beyond its main effects. The influence of genes on BMI is moderated by individual and macrolevel measures of SES, such that when SES is higher, genetic factors become less influential.
社会经济地位(SES)的个体测量指标会抑制体重指数(BMI)的遗传变异。我们的目的是研究个体层面(即教育程度、家庭收入)和宏观层面(即邻里社会经济优势)的SES指标对BMI遗传贡献的影响。
该研究使用了来自4162对同卵(MZ)和1900对异卵(DZ)同性双胞胎(64%为女性)的教育水平数据、来自3498对MZ和1534对DZ双胞胎(65%为女性)的收入水平数据,以及来自2327对MZ和948对DZ双胞胎(65%为女性)的邻里层面社会经济剥夺数据。协变量包括年龄(M = 40.4 ± 17.5岁)、性别和种族。使用同卵双胞胎对照模型来评估SES影响BMI的机制(例如,通过遗传途径与环境途径),并使用基因-环境交互模型来测试在控制了SES的主要影响后,BMI的残余变异是否受到社会经济指标的调节。
SES显著预测BMI。然而,这种关联并非因果关系,而是主要由一个共同的潜在遗传背景驱动,随着SES的增加,这种背景的影响往往会减弱。在控制了SES的主要影响后,遗传和非共享环境变异均随着SES的增加而减少。
个体和宏观层面的SES对BMI的影响超出了其主要效应。SES的个体和宏观层面测量指标调节了基因对BMI的影响,使得当SES较高时,遗传因素的影响较小。