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. 2018 Jun 7:5:57.
doi: 10.3389/fcvm.2018.00057. eCollection 2018.

Scientific Contributions of Population-Based Studies to Cardiovascular Epidemiology in the GWAS Era

Affiliations

Scientific Contributions of Population-Based Studies to Cardiovascular Epidemiology in the GWAS Era

Wolfgang Lieb et al. Front Cardiovasc Med. .

Abstract

Longitudinal, well phenotyped, population-based cohort studies offer unique research opportunities in the context of genome-wide association studies (GWAS), including GWAS for new-onset (incident) cardiovascular disease (CVD) events, the assessment of gene x lifestyle interactions, and evaluating the incremental predictive utility of genetic information in apparently healthy individuals. Furthermore, comprehensively phenotyped community-dwelling samples have contributed to GWAS of numerous traits that reflect normal organ function (e.g., cardiac structure and systolic and diastolic function) and for many traits along the CVD continuum (e.g., risk factors, circulating biomarkers, and subclinical disease traits). These GWAS have heretofore identified many genetic loci implicated in normal organ function and different stages of the CVD continuum. Finally, population-based cohort studies have made important contributions to Mendelian Randomization analyses, a statistical approach that uses genetic information to assess observed associations between cardiovascular traits and clinical CVD outcomes for potential causality.

Keywords: GWAS (genome-wide association study); genetic predisposition to disease; genetic variation; population; risk prediction.

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References

    1. Ganna A, Ingelsson E. 5 year mortality predictors in 498,103 UK Biobank participants: a prospective population-based study. Lancet (2015) 386(9993):533–40. 10.1016/S0140-6736(15)60175-1 - DOI - PubMed
    1. Riedel-Heller SG, Schork A, Matschinger H, Angermeyer MC. Recruitment procedures and their impact on the prevalence of dementia. Results from the leipzig longitudinal study of the aged (LEILA75+). Neuroepidemiology (2000) 19(3):130–40. 10.1159/000026248 - DOI - PubMed
    1. Dehghan A, Bis JC, White CC, Smith AV, Morrison AC, Cupples LA, et al. Genome-wide association study for incident myocardial infarction and coronary heart disease in prospective cohort studies: the CHARGE consortium. PLoS One (2016) 11(3):e0144997 10.1371/journal.pone.0144997 - DOI - PMC - PubMed
    1. Oleckno WA. "Cohort Studies". : Epidemiology - Concepts and Methods. United States: Waveland Press; (2008). p. 315–70.
    1. Wijmenga C, Zhernakova A. The importance of cohort studies in the post-GWAS era. Nat Genet (2018) 50(3):322–8. 10.1038/s41588-018-0066-3 - DOI - PubMed

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