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Joint association between education and polygenic risk score for incident coronary heart disease events : a longitudinal population-based study of 26 203 men and women

Authors :
Martikainen, Pekka
Korhonen, Kaarina
Jelenkovic, Aline
Lahtinen, Hannu
Havulinna, Aki
Ripatti, Samuli
Borodulin, Katja
Salomaa, Veikko
Davey Smith, George
Silventoinen, Karri
Martikainen, Pekka
Korhonen, Kaarina
Jelenkovic, Aline
Lahtinen, Hannu
Havulinna, Aki
Ripatti, Samuli
Borodulin, Katja
Salomaa, Veikko
Davey Smith, George
Silventoinen, Karri
Publication Year :
2021

Abstract

Background Genetic vulnerability to coronary heart disease (CHD) is well established, but little is known whether these effects are mediated or modified by equally well-established social determinants of CHD. We estimate the joint associations of the polygenetic risk score (PRS) for CHD and education on CHD events. Methods The data are from the 1992, 1997, 2002, 2007 and 2012 surveys of the population-based FINRISK Study including measures of social, behavioural and metabolic factors and genome-wide genotypes (N=26 203). Follow-up of fatal and non-fatal incident CHD events (N=2063) was based on nationwide registers. Results Allowing for age, sex, study year, region of residence, study batch and principal components, those in the highest quartile of PRS for CHD had strongly increased risk of CHD events compared with the lowest quartile (HR=2.26; 95% CI: 1.97 to 2.59); associations were also observed for low education (HR=1.58; 95% CI: 1.32 to 1.89). These effects were largely independent of each other. Adjustment for baseline smoking, alcohol use, body mass index, igh-density lipoprotein (HDL) and total cholesterol, blood pressure and diabetes attenuated the PRS associations by 10% and the education associations by 50%. We do not find strong evidence of interactions between PRS and education. Conclusions PRS and education predict CHD events, and these associations are independent of each other. Both can improve CHD prediction beyond behavioural risks. The results imply that observational studies that do not have information on genetic risk factors for CHD do not provide confounded estimates for the association between education and CHD.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1306175041
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1136.jech-2020-214358