Alcohol consumption in relation to cardiovascular diseases and mortality: a systematic review of Mendelian randomization studies

Author:

van de Luitgaarden Inge A. T.ORCID,van Oort SabineORCID,Bouman Emma J.,Schoonmade Linda J.,Schrieks Ilse C.,Grobbee Diederick E.,van der Schouw Yvonne T.,Larsson Susanna C.,Burgess Stephen,van Ballegooijen Adriana J.,Onland-Moret N. Charlotte,Beulens Joline W. J.

Abstract

AbstractThe causal effects of alcohol-in-moderation on cardiometabolic health are continuously debated. Mendelian randomization (MR) is an established method to address causal questions in observational studies. We performed a systematic review of the current evidence from MR studies on the association between alcohol consumption and cardiometabolic diseases, all-cause mortality and cardiovascular risk factors. We performed a systematic search of the literature, including search terms on type of design and exposure. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions. We additionally looked at exploration of non-linearity. We reported the direction of the studied associations. Our search yielded 24 studies that were eligible for inclusion. A full instrumental variable analysis was performed in 17 studies (71%) and 13 out of 24 studies (54%) validated all three key assumptions. Five studies (21%) assessed potential non-linearity. In general, null associations were reported for genetically predicted alcohol consumption with the primary outcomes cardiovascular disease (67%) and diabetes (75%), while the only study on all-cause mortality reported a detrimental association. Considering the heterogeneity in methodological quality of the included MR studies, it is not yet possible to draw conclusions on the causal role of moderate alcohol consumption on cardiometabolic health. As MR is a rapidly evolving field, we expect that future MR studies, especially with recent developments regarding instrument selection and non-linearity methodology, will further substantiate this discussion.

Publisher

Springer Science and Business Media LLC

Subject

Epidemiology

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