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Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits

Food Science and Technology

Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits

S. May-wilson, N. Matoba, et al.

This ground-breaking study by Sebastian May-Wilson and colleagues explores genetic associations with food preferences in over 161,000 participants. It identifies three food-liking dimensions, revealing genetic independence and intriguing brain associations. With over 1,400 significant associations found, this research sheds light on the genetic and neurophysiological factors influencing our food choices.

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Playback language: English
Abstract
This study presents a genome-wide association study (GWAS) of food liking in 161,625 UK Biobank participants, assessing liking for 139 foods. Genetic correlations and structural equation modeling revealed three main food-liking dimensions: "Highly-palatable," "Acquired," and "Low-caloric." The "Highly-palatable" dimension showed genetic independence from the others, with distinct MRI brain trait associations. High genetic correlation was observed between liking and consumption, but liking exhibited twice the heritability. GWAS identified 1,401 significant food-liking associations, largely consistent across 11 independent cohorts. The study provides a comprehensive map of the genetic determinants and neurophysiological factors of food liking.
Publisher
NATURE COMMUNICATIONS
Published On
May 18, 2022
Authors
Sebastian May-Wilson, Nana Matoba, Kaitlin H. Wade, Jouke-Jan Hottenga, Maria Pina Concas, Massimo Mangino, Eryk J. Grzeszkowiak, Cristina Menni, Paolo Gasparini, Nicholas J. Timpson, Maria G. Veldhuizen, Eco de Geus, James F. Wilson, Nicola Pirastu
Tags
genome-wide association study
food liking
genetic correlation
neurophysiology
heritability
UK Biobank
MRI associations
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