| Title: | Genetic analysis of dietary intake identifies new loci and functional links with metabolic traits |
| Journal: | Nature Human Behaviour |
| Published: | 23 Aug 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/34426670/ |
| DOI: | https://doi.org/10.1038/s41562-021-01182-w |
| URL: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799527 |
| Citations: | 25 (11 in last 2 years) as of 8 Aug 2024 |
Publication 7623
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Abstract
Dietary intake is a major contributor to the global obesity epidemic and represents a complex behavioural phenotype that is partially affected by innate biological differences. Here, we present a multivariate genome-wide association analysis of overall variation in dietary intake to account for the correlation between dietary carbohydrate, fat and protein in 282,271 participants of European ancestry from the UK Biobank (n = 191,157) and Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (n = 91,114), and identify 26 distinct genome-wide significant loci. Dietary intake signals map exclusively to specific brain regions and are enriched for genes expressed in specialized subtypes of GABAergic, dopaminergic and glutamatergic neurons. We identified two main clusters of genetic variants for overall variation in dietary intake that were differently associated with obesity and coronary artery disease. These results enhance the biological understanding of interindividual differences in dietary intake by highlighting neural mechanisms, supporting functional follow-up experiments and possibly providing new avenues for the prevention and treatment of prevalent complex metabolic diseases.20 Authors
- Jordi Merino
- Hassan S. Dashti
- Chloé Sarnowski
- Jacqueline M. Lane
- Petar V. Todorov
- Miriam S. Udler
- Yanwei Song
- Heming Wang
- Jaegil Kim
- Chandler Tucker
- John Campbell
- Toshiko Tanaka
- Audrey Y. Chu
- Linus Tsai
- Tune H. Pers
- Daniel I. Chasman
- Martin K. Rutter
- Josée Dupuis
- Jose C. Florez
- Richa Saxena
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