Key result
Education level, but not income, is linked to the genetic architecture of CVD risk and cIMT.
Why the study?
No assessment of genotype-environment interaction had been conducted to evaluate the joint effects of socioeconomic status and genetics on cardiovascular disease risk.
Does genotype-by-socioeconomic status interaction influence cardiovascular disease risk scores and carotid artery thickness in Mexican Americans?
Observational (n=1,140)
No
Does genotype-by-socioeconomic status interaction influence cardiovascular disease risk scores and carotid artery thickness in Mexican Americans?
Education significantly modulates the genetic architecture underlying cardiovascular disease risk factors and carotid artery thickness in Mexican Americans.
Education does not yet warrant integration into clinical genetic CVD risk assessment; leaves open GxE effects in other ancestries and requires replication.
Background: Socioeconomic status (SES) is a potent environmental determinant of health. To our knowledge, no assessment of genotype-environment interaction has been conducted to consider the joint effects of socioeconomic status and genetics on risk for cardiovascular disease (CVD). We analyzed Mexican American Family Studies (MAFS) data to evaluate the hypothesis that genotype-by-environment interaction (GxE) is an important determinant of variation in CVD risk factors. Methods: We employed a linear mixed model to investigate GxE in Mexican American extended families. We studied two proxies for CVD [Pooled Cohort Equation Risk Scores/Framingham Risk Scores (FRS/PCRS) and carotid artery intima-media thickness (CA-IMT)] in relation to socioeconomic status as determined by Duncan’s Socioeconomic Index (SEI), years of education, and household income. Results: We calculated heritability for FRS/PCRS and carotid artery intima-media thickness. There was evidence of GxE due to additive genetic variance heterogeneity and genetic correlation for FRS, PCRS, and CA-IMT measures for education (environment) but not for household income or SEI. Conclusion: The genetic effects underlying CVD are dynamically modulated at the lower end of the SES spectrum. There is a significant change in the genetic architecture underlying the major components of CVD in response to changes in education.
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Diego et al. (2023) conducted an observational in Cardiovascular disease risk (n=1,140). Education (years of education) vs. Household income and Socioeconomic Index (SEI) was evaluated on Genotype-by-socioeconomic status interaction (GSI) for cardiovascular disease risk scores and carotid artery intima-media thickness. Education level significantly modulated the genetic architecture underlying cardiovascular disease risk scores and carotid artery intima-media thickness in Mexican Americans, whereas household income and socioeconomic index did not.
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