Association between parental history and genetic risk scores for coronary heart disease prediction: The population-based CoLaus study
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Panagiotis Antiochos1, Pedro Marques-Vidal1, Aaron McDaid2
1Department of Internal Medicine, University Hospital of Lausanne (CHUV), Rue du Bugnon 21, 1011, Lausanne, Switzerland.
Insights
Parental history and polygenic genetic risk scores (GRS) jointly predict coronary heart disease (CHD). Combining both factors improves prediction of coronary events beyond traditional risk factors.
Area of Science:
- Cardiovascular Genetics
- Epidemiology
- Precision Medicine
Background:
- Parental history (PH) and genetic risk scores (GRS) are known risk factors for coronary heart disease (CHD).
- Limited data exists on the combined predictive power of PH and GRS for incident CHD.
- Understanding joint effects is crucial for personalized risk assessment.
Purpose of the Study:
- To evaluate the combined associations of PH and GRS with incident CHD.
- To assess the joint predictive ability of PH and GRS for coronary events.
- To determine if combined factors improve risk prediction models.
Main Methods:
- Analysis of 4283 Caucasian participants from the population-based CoLaus Study with a median follow-up of 5.6 years.
- CHD defined as myocardial infarction, angina, or revascularization procedures.
- Construction of weighted polygenic GRS using 38, 53, and 153 SNPs identified by genome-wide association studies.
Main Results:
- PH was associated with higher weighted GRS values.
- Both PH and weighted GRS were independently associated with increased CHD risk after adjusting for cardiovascular risk factors.
- The weighted 153-SNP GRS modestly improved discrimination and reclassification of CHD risk.
- Combining PH and GRS further improved model performance for predicting coronary events.
Conclusions:
- PH and weighted polygenic GRS are jointly associated with CHD.
- These factors provide additive information for predicting coronary events.
- The combination of PH and GRS enhances cardiovascular risk prediction.
Background And Aims:
Parental history (PH) and genetic risk scores (GRSs) are separately associated with coronary heart disease (CHD), but evidence regarding their combined effects is lacking. We aimed to evaluate the joint associations and predictive ability of PH and GRSs for incident CHD.
Methods:
Data for 4283 Caucasians were obtained from the population-based CoLaus Study, over median follow-up time of 5.6 years. CHD was defined as incident myocardial infarction, angina, percutaneous coronary revascularization or bypass grafting. Single nucleotide polymorphisms for CHD identified by genome-wide association studies were used to construct unweighted and weighted versions of three GRSs, comprising of 38, 53 and 153 SNPs respectively.
Results:
PH was associated with higher values of all weighted GRSs. After adjustment for age, sex, smoking, diabetes, systolic blood pressure, low and high density lipoprotein cholesterol, PH was significantly associated with CHD [HR 2.61, 95% CI (1.47-4.66)] and further adjustment for GRSs did not change this estimate. Similarly, one standard deviation change of the weighted 153-SNPs GRS was significantly associated with CHD [HR 1.50, 95% CI (1.26-1.80)] and remained so, after further adjustment for PH. The weighted, 153-SNPs GRS, but not PH, modestly improved discrimination [(C-index improvement, 0.016), p = 0.048] and reclassification [(NRI improvement, 8.6%), p = 0.027] beyond cardiovascular risk factors. After including both the GRS and PH, model performance improved further [(C-index improvement, 0.022), p = 0.006].
Conclusion:
After adjustment for cardiovascular risk factors, PH and a weighted, polygenic GRS were jointly associated with CHD and provided additive information for coronary events prediction.
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