Sharma Jayati, McArdle Cristin E, Graff Mariaelisa, Cordero Christina, Daviglus Martha, Gallo Linda C, Isasi Carmen R, Kelly Tanika N, Perreira Krista M, Talavera Gregory A, Cai Jianwen, North Kari E, Fernández-Rhodes Lindsay, Wojcik Genevieve L
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.
medRxiv. 2024 Nov 29:2024.11.26.24318009. doi: 10.1101/2024.11.26.24318009.
Many present analyses of Hispanic/Latino populations in epidemiologic research aggregate all members of this ethnic group, despite immense diversity in genetic backgrounds, environment, and culture between and across Hispanic/Latino background groups. Using the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), we examined the role of self-identified background group and genetic ancestry proportions in gene-environment interactions influencing the relationship between body mass index (BMI) and a polygenic score for BMI (PGS).
Weighted univariate and multivariable generalized linear models were executed to compare the effects of environmental variables identified by McArdle et al. 2021. Both Amerindigenous (AME) ancestry proportion and background group identity were statistically modeled as confounders both through stratified and joint analyses to understand their influence on the relationship between BMI and PGS, while incorporating gene-environment interactions of PGS x diet and PGS x age-at-immigration.
After complex survey weighting, 7,075 participants remained in the analytic sample, representing individuals of six background groups: Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American. The distributions of key environmental and sociocultural variables were heterogeneous between Hispanic/Latino background groups. Associations of these variables with AME ancestry were similarly heterogeneous upon stratification, indicating confounding by background group. In a predictive model for BMI incorporating health, immigration, and environmental variables, PGS performance decreased with increasing AME ancestry proportion. In this model, most statistically significant GxE interactions lost significance after ancestry and background stratification, except for PGS x age-at-immigration interactions in some strata: Mexican background individuals born in the US compared to those >=21 years old at migration (β=1.33, p<0.01), Dominican background individuals 6-12 years old at migration compared to those >=21 years old at migration (β=4.38, p<0.001), and Cuban background individuals 0-5 years old at migration compared to those >=21 years old at migration (β=2.20, p=0.015), where US-born includes individuals born in the US 50 states/DC.
Controlling for self-identified background group identity and genetic ancestry did not eliminate statistically significant differences in interactions between AME ancestry and environmental variables in certain strata of AME ancestry among some Hispanic/Latino background groups in HCHS/SOL.
在流行病学研究中,目前许多对西班牙裔/拉丁裔人群的分析将该族群的所有成员合并在一起,尽管西班牙裔/拉丁裔背景群体之间以及群体内部在遗传背景、环境和文化方面存在巨大差异。我们利用西班牙裔社区健康研究/拉丁裔研究(HCHS/SOL),研究了自我认定的背景群体和遗传血统比例在基因-环境相互作用中对体重指数(BMI)与BMI多基因评分(PGS)之间关系的影响。
执行加权单变量和多变量广义线性模型,以比较McArdle等人2021年确定的环境变量的影响。美洲原住民(AME)血统比例和背景群体身份均通过分层分析和联合分析进行统计学建模,作为混杂因素,以了解它们对BMI与PGS之间关系的影响,同时纳入PGS×饮食和PGS×移民年龄的基因-环境相互作用。
经过复杂的调查加权后,分析样本中保留了7075名参与者,代表六个背景群体的个体:中美洲、古巴、多米尼加、墨西哥、波多黎各和南美洲。关键环境和社会文化变量的分布在西班牙裔/拉丁裔背景群体之间存在异质性。分层后,这些变量与AME血统的关联同样存在异质性,表明存在背景群体混杂因素。在纳入健康、移民和环境变量的BMI预测模型中,PGS表现随着AME血统比例的增加而下降。在该模型中,除了某些分层中的PGS×移民年龄相互作用外,大多数具有统计学意义的基因-环境相互作用在按血统和背景分层后失去了显著性:在美国出生的墨西哥背景个体与移民时年龄≥21岁的个体相比(β=1.33,p<0.01),移民时6-12岁的多米尼加背景个体与移民时年龄≥21岁的个体相比(β=4.38,p<0.001),以及移民时0-5岁的古巴背景个体与移民时年龄≥21岁的个体相比(β=2.20,p=0.015),其中美国出生的包括在美国50个州/哥伦比亚特区出生的个体。
在HCHS/SOL中,在某些西班牙裔/拉丁裔背景群体的特定AME血统分层中,控制自我认定的背景群体身份和遗传血统并不能消除AME血统与环境变量之间相互作用的统计学显著差异。