Jayati Sharma, Cristin E McArdle, Mariaelisa Graff, Christina Cordero, Martha Daviglus, Linda C Gallo, Carmen R Isasi, Tanika N Kelly, Krista M Perreira, Gregory A Talavera, Jianwen Cai, Kari E North, Lindsay Fernández-Rhodes, Genevieve L Wojcik
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Participants (n = 7,075) identified with six background groups: Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American. Generalized linear models incorporating complex survey weighting were used to model BMI through joint and stratified (background group, estimated Amerindigenous [AME] ancestry) analyses including PGS<sub>BMI</sub> and other health-related variables. Interaction effects were modeled between PGS<sub>BMI</sub> and diet and age at immigration. Comparing pooled to background group-stratified analyses, we observe heterogeneous distributions of environmental and sociocultural variables, as well as differing associations with AME ancestry. Within the multivariate model, PGS<sub>BMI</sub> performance decreased with increasing AME ancestry. After stratification, PGS-age-at-immigration interactions remained statistically significant in some strata: Mexican background individuals born in the US (50 states/DC) (β = 1.33, p < 0.01), Dominican background individuals 6-12 years old (β = 4.38, p < 0.001), and Cuban background individuals 0-5 years old (β = 2.20, p = 0.015) relative to those ≥ 21 years old at migration. It is vital to understand populations of interest to model them appropriately and prevent possible confounding or misinterpretation. 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Within the multivariate model, PGS<sub>BMI</sub> performance decreased with increasing AME ancestry. After stratification, PGS-age-at-immigration interactions remained statistically significant in some strata: Mexican background individuals born in the US (50 states/DC) (β = 1.33, p < 0.01), Dominican background individuals 6-12 years old (β = 4.38, p < 0.001), and Cuban background individuals 0-5 years old (β = 2.20, p = 0.015) relative to those ≥ 21 years old at migration. It is vital to understand populations of interest to model them appropriately and prevent possible confounding or misinterpretation. 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引用次数: 0
摘要
研究通常将所有被确定为西班牙裔/拉丁裔的参与者聚集在一起，尽管遗传和环境亚结构，阻碍了对遗传和环境在人类健康中的作用的有意义的调查。利用西班牙裔社区健康研究/拉丁裔研究（HCHS/SOL），我们研究了自我识别的背景群体和遗传祖先如何影响体重指数（BMI）和BMI多基因评分（PGSBMI）之间的基因-环境相互作用。参与者（n= 7075）来自六个背景群体：中美洲、古巴、多米尼加、墨西哥、波多黎各和南美洲。结合复杂调查加权的广义线性模型通过联合和分层（背景组，估计的美洲原住民（AME）血统）分析（包括PGSBMI和其他与健康相关的变量）来建模BMI。模拟了PGSBMI与饮食和移民年龄之间的相互作用效应。与背景群体分层分析相比，我们观察到环境和社会文化变量的异质性分布，以及与AME血统的不同关联。在多变量模型中，随着AME血统的增加，PGSBMI的表现下降。分层后，PGS与移民年龄的相互作用在某些阶层中仍然具有统计学意义：出生在美国的墨西哥背景个体（50个州/DC） (β=1.33, p
Genetic ancestry influences gene-environment interactions with sociocultural factors: Results from the Hispanic Community Health Study/Study of Latinos.
Often, studies will aggregate all participants identified as Hispanic/Latino, despite genetic and environmental substructures, preventing the meaningful interrogation of the roles of genetics and environment in human health. Using the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), we examined how self-identified background group and genetic ancestry influence gene-environment interactions between body mass index (BMI) and a polygenic score for BMI (PGSBMI). Participants (n = 7,075) identified with six background groups: Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American. Generalized linear models incorporating complex survey weighting were used to model BMI through joint and stratified (background group, estimated Amerindigenous [AME] ancestry) analyses including PGSBMI and other health-related variables. Interaction effects were modeled between PGSBMI and diet and age at immigration. Comparing pooled to background group-stratified analyses, we observe heterogeneous distributions of environmental and sociocultural variables, as well as differing associations with AME ancestry. Within the multivariate model, PGSBMI performance decreased with increasing AME ancestry. After stratification, PGS-age-at-immigration interactions remained statistically significant in some strata: Mexican background individuals born in the US (50 states/DC) (β = 1.33, p < 0.01), Dominican background individuals 6-12 years old (β = 4.38, p < 0.001), and Cuban background individuals 0-5 years old (β = 2.20, p = 0.015) relative to those ≥ 21 years old at migration. It is vital to understand populations of interest to model them appropriately and prevent possible confounding or misinterpretation. While this work focuses specifically on Hispanic/Latino groups, these lessons are relevant to other groups as we diversify work to better understand gene-environment interactions.
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