Cargando…

Using genetic variation for establishing causality of cardiovascular risk factors: overcoming confounding and reverse causality

Cardiovascular disease (CVD) remains the leading cause of death in developed countries, despite the decline of CVD mortality over the last two decades. From observational, predictive research, efforts have been made to find causal risk factors for CVD. However, in recent years, some of these finding...

Descripción completa

Detalles Bibliográficos
Autores principales: Smit, R. A. J., Trompet, S., de Craen, A. J. M., Jukema, J. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bohn Stafleu van Loghum 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954928/
https://www.ncbi.nlm.nih.gov/pubmed/24590770
http://dx.doi.org/10.1007/s12471-014-0534-z
Descripción
Sumario:Cardiovascular disease (CVD) remains the leading cause of death in developed countries, despite the decline of CVD mortality over the last two decades. From observational, predictive research, efforts have been made to find causal risk factors for CVD. However, in recent years, some of these findings have been shown to be mistaken. Possible explanations for the discrepant findings are confounding and reverse causation. Genetic epidemiology has tried to address these problems through the use of Mendelian randomisation. In this paper, we discuss the promise and limitations of using genetic variation for establishing causality of cardiovascular risk factors.