Using genetic variation to disentangle the complex relationship between food intake and health outcomes.
Eryk Jan Grzeszkowiak,
Felix R. Day,
Maria Pina Concas,
Katherine A Kentistou,
Ken K. Ong,
Tom R Gaunt,
James F Wilson
Posted 07 Nov 2019
bioRxiv DOI: 10.1101/829952
Posted 07 Nov 2019
Despite food choices being one of the most important factors influencing health, efforts to identify individual food groups and dietary patterns that cause disease have been challenging, with traditional nutritional epidemiological approaches plagued by biases and confounding. After identifying 302 (289 novel) individual genetic determinants of dietary intake in 445,779 individuals in the UK Biobank study, we develop a statistical genetics framework that enables us, for the first time, to directly assess the impact of food choices on health outcomes. We show that the biases which affect observational studies extend also to GWAS, genetic correlations and causal inference through genetics, which can be corrected by applying our methods. Finally, by applying Mendelian Randomization approaches to the corrected results we identify some of the first robust causal associations between eating patterns and risks of cancer, heart disease and obesity, distinguishing between the effects of specific foods or dietary patterns.
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