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Chybowska, A. D. et al. (2024) Epigenetic contributions to clinical risk prediction of cardiovascular disease. Circulation: Genomic and Precision Medicine, 17(1), e004265. (doi: 10.1161/CIRCGEN.123.004265) (PMID:38288591)
Maitusong, B. et al. (2023) Cross-sectional gene-smoking interaction analysis in relation to subclinical atherosclerosis-results from the IMPROVE study. Circulation: Genomic and Precision Medicine, 16(3), pp. 236-247. (doi: 10.1161/CIRCGEN.122.003710) (PMID:37021583) (PMCID:PMC10284137)
van Zuydam, N. R. et al. (2020) Genetic predisposition to coronary artery disease in type 2 diabetes. Circulation: Genomic and Precision Medicine, 13(6), e002769. (doi: 10.1161/CIRCGEN.119.002769) (PMID:33321069) (PMCID:PMC7748049)
Fotiou, E., Williams, S., Martin-Geary, A., Robertson, D. , Tenin, G., Hentges, K. E. and Keavney, B. (2019) Integration of large-scale genomic data sources with evolutionary history reveals novel genetic loci for congenital heart disease. Circulation: Genomic and Precision Medicine, 12(10), pp. 442-451. (doi: 10.1161/CIRCGEN.119.002694) (PMID:31613678)
Patel, R. S. et al. (2019) Association of chromosome 9p21 with subsequent coronary heart disease events: a GENUIS-CHD study of individual participant data. Circulation: Genomic and Precision Medicine, 12(4), e002471. (doi: 10.1161/CIRCGEN.119.002471) (PMID:30897348)
Patel, R. et al. (2019) Subsequent event risk in individuals with established coronary heart disease: design and rationale of the GENIUS-CHD Consortium. Circulation: Genomic and Precision Medicine, (doi: 10.1161/CIRCGEN.119.002470) (PMID:30896328)
van der Laan, S. W. et al. (2018) Genetic susceptibility loci for cardiovascular disease and their impact on atherosclerotic plaques. Circulation: Genomic and Precision Medicine, 11(9), e002115. (doi: 10.1161/CIRCGEN.118.002115)
Lin, H. et al. (2018) Common and rare coding genetic variation underlying the electrocardiographic PR interval. Circulation: Genomic and Precision Medicine, 11(5), e002037. (doi: 10.1161/CIRCGEN.117.002037) (PMID:29748316)
Bihlmeyer, N. A. et al. (2018) ExomeChip-wide analysis of 95 626 individuals identifies 10 novel loci associated with QT and JT intervals. Circulation: Genomic and Precision Medicine, 11(1), e001758. (doi: 10.1161/CIRCGEN.117.001758) (PMID:29874175) (PMCID:PMC5992491)