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Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic associations

Author

Listed:
  • Joanne B. Cole

    (The Broad Institute of MIT and Harvard
    Massachusetts General Hospital
    Boston Children’s Hospital)

  • Jose C. Florez

    (The Broad Institute of MIT and Harvard
    Massachusetts General Hospital
    Harvard Medical School)

  • Joel N. Hirschhorn

    (The Broad Institute of MIT and Harvard
    Boston Children’s Hospital
    Harvard Medical School)

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.

Suggested Citation

  • Joanne B. Cole & Jose C. Florez & Joel N. Hirschhorn, 2020. "Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic associations," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15193-0
    DOI: 10.1038/s41467-020-15193-0
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    Cited by:

    1. Ning Wei & Dingqiang Sun, 2023. "Children’s education and parents’ dietary nutrient intake: an empirical study based on rural China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    2. Caitlin E. Carey & Rebecca Shafee & Robbee Wedow & Amanda Elliott & Duncan S. Palmer & John Compitello & Masahiro Kanai & Liam Abbott & Patrick Schultz & Konrad J. Karczewski & Samuel C. Bryant & Caro, 2024. "Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation," Nature Human Behaviour, Nature, vol. 8(8), pages 1599-1615, August.

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