Genetic Analysis of Dietary Intake Identifies New Loci and Functional Links with Metabolic Traits

Dietary intake, a major contributor to the global obesity epidemic, is a complex phenotype partially affected by innate physiological processes. However, previous genome-wide association studies have only implicated a few loci in variability of dietary intake. Here, we present a multi-trait genome-wide association meta-analysis of inter-individual variation in dietary intake in 283,119 European-ancestry participants from UK Biobank and CHARGE consortium identifying 96 genome-wide significant loci. Dietary intake signals map to different brain tissues and are enriched for genes expressed in β1-tanycytes and serotonergic and GABAergic neurons. We also find enrichment of biological pathways related to neurogenesis. Integration of cell-line and brain-specific epigenomic annotations identify 15 additional loci. Clustering of genome-wide significant variants based on clinical and physiological similarities yields three main genetic clusters with distinct associations with obesity and type 2 diabetes. Overall, these results enhance biological understanding of dietary composition, highlight neural mechanisms, and support functional follow-up experiments.