Association between parental history and genetic risk scores for coronary heart disease prediction: The population-based CoLaus study.

Details

Serval ID
serval:BIB_11F194C1480D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Association between parental history and genetic risk scores for coronary heart disease prediction: The population-based CoLaus study.
Journal
Atherosclerosis
Author(s)
Antiochos P., Marques-Vidal P., McDaid A., Waeber G., Vollenweider P.
ISSN
1879-1484 (Electronic)
ISSN-L
0021-9150
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
244
Pages
59-65
Language
english
Notes
Publication types: Journal ArticlePublication Status: ppublish
Abstract
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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Create date
03/12/2015 15:55
Last modification date
20/08/2019 12:39
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