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 (PGS<sub>BMI</sub>). 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. 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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Publication Details

Journal
Human Genetics and Genomics Advances
Published
2025-05-08
DOI
https://doi.org/10.1016/j.xhgg.2025.100451
Citations
2
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
3.63

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article

Genetic ancestry influences gene-environment interactions with sociocultural factors: Results from the Hispanic Community Health Study/Study of Latinos

Christina Cordero, Gregory A. Talavera, Krista M. Perreira, Cristin E. McArdle et al.
2 citations
Human Genetics and Genomics Advances
Genetic Associations and Epidemiology
3.63
article

Genetic ancestry influences gene-environment interactions with sociocultural factors: Results from the Hispanic Community Health Study/Study of Latinos

Christina Cordero, Gregory A. Talavera, Krista M. Perreira, Cristin E. McArdle, Genevieve L. Wojcik, Carmen R. Isasi, Tanika N. Kelly, Mariaelisa Graff, Kari E. North, Linda C. Gallo, Lindsay Fernández‐Rhodes, Martha L. Daviglus, Jayati Sharma, Jianwen Cai
article en
2 citations

Abstract

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 (PGS<sub>BMI</sub>). 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. 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.

Human Genetics and Genomics AdvancesVol. 6(3)
University of North Carolina at Chapel Hill (US), Albert Einstein College of Medicine (US), Pennsylvania State University (US), Johns Hopkins University (US), University of Miami (US), San Diego State University (US), University of Illinois Chicago (US)
Office of Dietary Supplements, University of Miami, San Diego State University, Albert Einstein College of Medicine, Yeshiva University, University of Illinois at Chicago, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Institute on Deafness and Other Communication Disorders, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, National Institute of Dental and Craniofacial Research, National Institute on Minority Health and Health Disparities, NHLBI Division of Intramural Research
Openalex Percentile: Top 8%
Genetic Associations and Epidemiology
3.63
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