Morten K Christiansen1, Mette Nyegaard2, Lisbeth N Pedersen3, Sanne B Larsen4, Morten Würtz4, Jakob Hjort4, Steen D Kristensen5, Henrik K Jensen5. 1. Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Faculty of Health, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark. Electronic address: morten.christiansen@clin.au.dk. 2. Department of Biomedicine, Aarhus University, Aarhus, Denmark. 3. Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark. 4. Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark. 5. Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Faculty of Health, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Abstract
BACKGROUND AND AIMS: Common genetic risk variants may contribute to the heritability of early-onset coronary artery disease (CAD). We aimed to investigate the association of a genetic risk score (GRS) with age upon CAD-onset and to test the association between the GRS, familial clustering, and CAD severity in early-onset CAD. METHODS: 134 early-onset CAD patients (<40 years), 446 late-onset CAD patients (male >55 years/female >65 years), and 89 healthy controls were genotyped for 45 CAD-associated SNPs and a GRS was created. In early-onset CAD patients, family pedigrees with information on 1585 1st and 2nd degree relatives were used to calculate a stratified log-rank family score (SLFS) as a measure of familial clustering. RESULTS: Early-onset patients had a higher mean GRS than late-onset CAD patients (p = 0.02) and healthy controls (p < 0.0001). In the adjusted model, a GRS increase of one SD was associated with 1.2 years (95% CI 0.1-2.2) earlier onset. The GRS was not associated with the SLFS in the regression model (p = 0.41) and did not differ between SLFS tertiles (p = 0.98). The SLFS predicted the number of affected coronary vessels (OR [95% CI] per SD increase in SLFS: 2.0 [1.4-3.0]), whereas the association between the GRS and CAD severity was not statistically significant (OR [95% CI] per SD increase in GRS: 1.3 [0.9-1.9]). CONCLUSIONS: The GRS was increased in early-onset CAD patients, but not associated with the SLFS, suggesting that these common genetic variants are of minor importance in familial clustering of early-onset CAD. Furthermore, family pedigree analysis may predict CAD severity more precisely than common variants.
BACKGROUND AND AIMS: Common genetic risk variants may contribute to the heritability of early-onset coronary artery disease (CAD). We aimed to investigate the association of a genetic risk score (GRS) with age upon CAD-onset and to test the association between the GRS, familial clustering, and CAD severity in early-onset CAD. METHODS: 134 early-onset CAD patients (<40 years), 446 late-onset CAD patients (male >55 years/female >65 years), and 89 healthy controls were genotyped for 45 CAD-associated SNPs and a GRS was created. In early-onset CAD patients, family pedigrees with information on 1585 1st and 2nd degree relatives were used to calculate a stratified log-rank family score (SLFS) as a measure of familial clustering. RESULTS: Early-onset patients had a higher mean GRS than late-onset CAD patients (p = 0.02) and healthy controls (p < 0.0001). In the adjusted model, a GRS increase of one SD was associated with 1.2 years (95% CI 0.1-2.2) earlier onset. The GRS was not associated with the SLFS in the regression model (p = 0.41) and did not differ between SLFS tertiles (p = 0.98). The SLFS predicted the number of affected coronary vessels (OR [95% CI] per SD increase in SLFS: 2.0 [1.4-3.0]), whereas the association between the GRS and CAD severity was not statistically significant (OR [95% CI] per SD increase in GRS: 1.3 [0.9-1.9]). CONCLUSIONS: The GRS was increased in early-onset CAD patients, but not associated with the SLFS, suggesting that these common genetic variants are of minor importance in familial clustering of early-onset CAD. Furthermore, family pedigree analysis may predict CAD severity more precisely than common variants.