| Title: | Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic associations |
| Journal: | Nature Communications |
| Published: | 19 Mar 2020 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/32193382/ |
| DOI: | https://doi.org/10.1038/s41467-020-15193-0 |
| URL: | https://www.nature.com/articles/s41467-020-15193-0.pdf |
Publication 2183
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Unhealthful dietary habits are leading risk factors for life-altering diseases and mortality. Large-scale biobanks now enable genetic analysis of traits with modest heritability, such as diet. We perform a genomewide association on 85 single food intake and 85 principal component-derived dietary patterns from food frequency questionnaires in UK Biobank. We identify 814 associated loci, including olfactory receptor associations with fruit and tea intake; 136 associations are only identified using dietary patterns. Mendelian randomization suggests our top healthful dietary pattern driven by wholemeal vs. white bread consumption is causally influenced by factors correlated with education but is not strongly causal for coronary artery disease or type 2 diabetes. Overall, we demonstrate the value in complementary phenotyping approaches to complex dietary datasets, and the utility of genomic analysis to understand the relationships between diet and human health.3 Authors
- Joanne B. Cole
- Jose C. Florez
- Joel N. Hirschhorn
1 Application
| Application ID | Title |
|---|---|
| 11898 | Genetic studies of anthropometric traits and methods for analysis of multiple phenotypes |
Enabling scientific discoveries that improve human health