| Title: | Gene-vegetarianism interactions in calcium, estimated glomerular filtration rate, and testosterone identified in genome-wide analysis across 30 biomarkers |
| Journal: | PLOS Genetics |
| Published: | 11 Jul 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38990837/ |
| DOI: | https://doi.org/10.1371/journal.pgen.1011288 |
| URL: | http://dx.doi.org/10.1371/journal.pgen.1011288 |
Publication 11667
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Abstract
We examined the associations of vegetarianism with metabolic biomarkers using traditional and genetic epidemiology. First, we addressed inconsistencies in self-reported vegetarianism among UK Biobank participants by utilizing data from two dietary surveys to find a cohort of strict European vegetarians (N = 2,312). Vegetarians were matched 1:4 with nonvegetarians for non-genetic association analyses, revealing significant effects of vegetarianism in 15 of 30 biomarkers. Cholesterol measures plus vitamin D were significantly lower in vegetarians, while triglycerides were higher. A genome-wide association study revealed no genome-wide significant (GWS; 5×10-8) associations with vegetarian behavior. We performed genome-wide gene-vegetarianism interaction analyses for the biomarkers, and detected a GWS interaction impacting calcium at rs72952628 (P = 4.47×10-8). rs72952628 is in MMAA, a B12 metabolic pathway gene; B12 has major deficiency potential in vegetarians. Gene-based interaction tests revealed two significant genes, RNF168 in testosterone (P = 1.45×10-6) and DOCK4 in estimated glomerular filtration rate (eGFR) (P = 6.76×10-7), which have previously been associated with testicular and renal traits, respectively. These nutrigenetic findings indicate genotype can modify the associations between vegetarianism and health outcomes.</p>
16 Keywords
- Adult
- Aged
- Biomarkers
- Calcium
- Diet, Vegetarian
- Female
- Genome-Wide Association Study
- Glomerular Filtration Rate
- Humans
- Male
- Middle Aged
- Polymorphism, Single Nucleotide
- Testosterone
- Ubiquitin-Protein Ligases
- Vegetarians
- Vitamin D
4 Authors
- Michael Francis
- Kenneth E Westerman
- Alisa K Manning
- Kaixiong Ye
1 Application
| Application ID | Title |
|---|---|
| 48818 | Evaluate the causal effects of diet-modifiable biomarkers on clinical outcomes using Mendelian randomization |
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